Scientific articles describing applications that use/implement/expand principles of
ViBe
Last update: January 14, 2026
1. Ship detection and tracking
Saghafi, M.H., Noorhosseini, S.M., Javadein, S.A.S., and Khalili, H. Robust ship detection and
tracking using modified ViBe and backwash cancellation algorithm.
arXiv
,
abs/2601.01481
,
2026. URL
http://dx.doi.org/10.48550/arXiv.2601.01481
2. Smart helmet
Sur, A., Jatti, V.K., Awasthi, P., Ghosh, B., and Bhattacharya, T. Smart helmet 5.0 current
state of arts. In
Advancements in IoT Sensors and Security
, volume 52 of
Smart Sensors,
Measurement and Instrumentation
, pages 407–442. Springer Nature Switzerland, 2026. URL
http://dx.doi.org/10.1007/978-3-032-05507-1_18
3. Vision for a quadruped robot
Zhu, C., Bao, J., Zhao, Z., Yang, Z., Huang, C., Kang, J., Xu, H., and Zhang, Z. A digital twin-
based quadruped robot system with scene perception, fast communication, and holographic
interaction.
Digital Communications and Networks
, November 2025. URL
org/10.1016/j.dcan.2025.11.004
4. Anomaly detection of small targets in powder spreading process
Li, P., Xing, F., and Liu, W. Anomaly detection of small targets in PBF powder spreading
process based on mask fusion.
IEEE Access
,
13
:177405–177419, 2025. URL
doi.org/10.1109/access.2025.3620374
5. Gas leak detection
Zhou, G., Yang, Y., Yan, X., Wang, W., Huang, Y., Hu, Z., Suo, Y., Zhou, Y., and Zheng, F.
Leak detection of C4F7N mixed gas using infrared imaging based on YOLO11. In
Infrared and
Terahertz Technology and Applications
, volume 13957 of
Proceedings of SPIE
. SPIE, October
2025. URL
http://dx.doi.org/10.1117/12.3078321
6. Online surface defect detection
Shu, L., Zou, G., Meng, Z., and Wang, Y. An online surface defect detection method for
weld seam based on SAE model and background extraction method.
Optics & Laser Technol-
ogy
,
187
:1–11, September 2025. URL
http://dx.doi.org/10.1016/j.optlastec.2025.
7. Detection of small objects in infrared images
Gong, M., Li, T., Song, M., Ye, L., Wang, H., and Wang, D. Detection of infrared moving
small targets from dynamic background based on improved ViBe algorithm. In
Conference of
Young Scientists of the Chinese Society of Optical Engineering
, page 33. SPIE, Ningbo, China,
September 2025. URL
http://dx.doi.org/10.1117/12.3071471
8. Infrared image gas leakage detection
Li, X., Yang, H., Wang, L., Hong, K., Chen, J., and Zhang, R. Research on infrared image
gas leakage detection method based on spatiotemporal multifeature fusion. In
Conference of
Young Scientists of the Chinese Society of Optical Engineering
, page 133. SPIE, Ningbo, China,
September 2025. URL
http://dx.doi.org/10.1117/12.3074156
1
9. Background modeling for gas plume identification
Ning, Z., Li, Z., Qian, R., and Fang, Y. Towards gas plume identification in industrial and
livestock farm environments using infrared hyperspectral imaging: A background modeling and
suppression method.
Agriculture
,
15
(17):1–20, August 2025. URL
10. Detection of pedestrian intrusions on railway tracks
Wu, Y., Zhang, P., and Cai, Z. A YOLOv5-based approach for detecting train occupancy
disruption and pedestrian intrusion on railway tracks. In
International Conference on Smar-
tRail, Traffic and Transportation Engineering
, volume 1432 of
Lecture Notes in Electrical En-
gineering
, pages 10–21. Springer Singapore, 2025. URL
11. Video transmission
Miao, Y., Hu, D., and Wang, Y. An efficient vector quantization-based semantic communi-
cation system for virtual reality video transmission.
IEEE Wireless Communications Letters
,
14
(7):1954–1958, July 2025. URL
http://dx.doi.org/10.1109/lwc.2025.3559583
12. Detection of small drones
Ucurum, E., Birch, P., Han, X., Tian, Y., Young, R., and Chatwin, C. Evaluating a motion-
based region proposal approach with background subtraction methods for small drone detection.
Drones and Autonomous Vehicles
,
2
(2):1–13, April 2025. URL
13. Crowd emotion detection
Chen, X., Liu, Z., Liu, T., and Xiao, J. Create a crowd emotion detection framework with
ecological validity.
IEEE Transactions on Affective Computing
,
16
(2):1087–1103, April 2025.
URL
http://dx.doi.org/10.1109/taffc.2024.3492262
14. Fall detection of elderly people
Fu, F. A video-based fall detection using 3D sparse convolutional neural network in elderly
care services.
Machine Graphics and Vision
,
34
(1):53–74, March 2025. URL
doi.org/10.22630/mgv.2025.34.1.3
15. Target extraction of moving IC wafers
Li, Y., Kong, D., Li, G., Lu, L., and Mitrouchev, P. Research on an improved ViBe algorithm to
enhance the target extraction of moving IC wafer. In
International Workshop of Advanced Man-
ufacturing and Automation
, volume 1364) of
Lecture Notes in Electrical Engineering
, pages
324–329. Springer Nature Singapore, February 2025. URL
16. Image stitching
Wu, F., Wang, B., Sang, Y., and Zhang, Y. Dynamic panoramic image stitching with multi-
aperture compound eye array. In
Optics Young Scientist Summit (OYSS)
, volume 13520 of
Pro-
ceedings of SPIE
. SPIE, January 2025. URL
http://dx.doi.org/10.1117/12.3057119
17. Smoky vehicle detection from traffic surveillance videos
Nisha, J.S., Goutham, V., and Palanisamy, G. An improved method for AI-based smoky ve-
hicle detection from traffic surveillance videos.
Signal, Image and Video Processing
,
19
(1),
December 2024. URL
http://dx.doi.org/10.1007/s11760-024-03659-3
2
18. Construction of a dataset for pose estimation
Lin, Y., Wei, Z., Zhang, W., Lin, X., Dai, Y., Wen, C., Shen, S., Xu, L., and Wang, C. HmPEAR:
A dataset for human pose estimation and action recognition. In
ACM International Conference
on Multimedia (MM)
, pages 2069–2078. ACM, Melbourne, Victoria, Australia, October 2024.
URL
http://dx.doi.org/10.1145/3664647.3681055
19. Integration in a system for quadruped robots
Zhu, C., Zhao, Z., Bao, J., Yang, Z., Huang, C., and Zhang, Z. Integrated optical sensing,
communication, and computation system for quadruped robots. In
International Conference
on Wireless Communications and Signal Processing (WCSP)
, pages 789–794. Institute of Elec-
trical and Electronics Engineers (IEEE), Hefei, China, October 2024. URL
org/10.1109/wcsp62071.2024.10826821
20. Anomaly detection in video surveillance
Wang, X.
Anomaly Detection in Video Surveillance
. Cognitive Intelligence and Robotics.
Springer Nature Singapore, August 2024. URL
http://dx.doi.org/10.1007/978-981-97-3023-0
21. Shadow detection in VideoSAR images
Wu, Z., Xie, H., Gao, T., Zhang, Y., and Liu, H. Moving target shadow detection method based
on improved ViBe in VideoSAR images.
IEEE Journal of Selected Topics in Applied Earth
Observations and Remote Sensing
,
17
:14575–14587, August 2024. URL
org/10.1109/jstars.2024.3443080
22. Force estimation
Arefinia, E., Jagadeesan, J., and Patel, R.V. Machine-learning-based multi-modal force esti-
mation for steerable ablation catheters.
IEEE Transactions on Medical Robotics and Bionics
,
6
(3):1004–1016, August 2024. URL
http://dx.doi.org/10.1109/tmrb.2024.3407590
23. Detection of floods via Sentinel-1 satellite images
Bou, X., Ehret, T., Von Gioi, R.G., and Anger, J. Portraying the need for temporal data in
flood detection via sentinel-1.
IEEE International Geoscience and Remote Sensing Symposium
(IGARSS)
, pages 3930–3934, July 2024. URL
http://dx.doi.org/10.1109/igarss53475.
24. Analysis of the dynamics of leaf-cutting ants
Ferreira, F.T.N., Constantino, P.B., de Toledo, M.A.F., and Helene, A.F. Spatio-temporal learn-
ing in a mass-recruiting leaf-cutting ant (acromyrmex subterraneus).
bioRxiv
, June 2024. URL
http://dx.doi.org/10.1101/2024.06.12.598721
25. Video transformer for privacy-preserving stream analytics
Feng, D., Wang, L., Chen, S., Tung, L., and Liu, F. X-Stream: A flexible, adaptive video
transformer for privacy-preserving video stream analytics. In
IEEE International Conference
on Computer Communications
, volume 16, pages 1–10. Institute of Electrical and Electron-
ics Engineers (IEEE), Vancouver, Canada, May 2024. URL
26. Motion detection for video surveillance
Brown, M.J., Chenglong, L., Xinyan, G., and Xinxin, S. Adaptive motion detection for en-
hanced video surveillance. In
IEEE Advanced Information Management, Communicates, Elec-
tronic and Automation Control Conference (IMCEC)
, pages 360–367. Institute of Electrical and
3
Electronics Engineers (IEEE), Chongqing, China, May 2024. URL
27. Real-time tracking on low-cost edge devices
Do, V.M., Wu, M., Lam, S.K., and Srikanthan, T. Achieving real-time visual tracking with low-
cost edge AI. In
ACM/IEEE International Conference on Cyber-Physical Systems (ICCPS)
,
pages 279–280. Institute of Electrical and Electronics Engineers (IEEE), Hong Kong, Hong
Kong, May 2024. URL
http://dx.doi.org/10.1109/iccps61052.2024.00035
28. Video anomaly detection
Ye, Q., Song, Z., Zhao, Y., and Zhang, Y. Dual-channel autoencoder with key region feature
enhancement for video anomalous event detection.
Neural Processing Letters
,
56
(3):1–18, May
2024. URL
http://dx.doi.org/10.1007/s11063-024-11634-9
29. Detection of invasive hornets
O’Shea-Wheller, T.A., Corbett, A., Osborne, J.L., Recker, M., and Kennedy, P.J. VespAI: a
deep learning-based system for the detection of invasive hornets.
Communications Biology
,
7
(1), April 2024. URL
http://dx.doi.org/10.1038/s42003-024-05979-z
30. Fish tracking
Zhang, A. and Palaoag, T.D. Underwater fish tracking algorithm based on ViBE detection and
covariance matrix. In
International Conference on Image, Video and Signal Processing
, pages
73–78. ACM, Ikuta, Japan, March 2024. URL
http://dx.doi.org/10.1145/3655755.
31. Facial detection
Mrak, V. and Klymash, M. Facial recognitino system model for fixed video surveillance sys-
tems.
Measuring and Computing Devices in Technological Processes
,
1
:68–73, March 2024.
URL
http://dx.doi.org/10.31891/2219-9365-2024-77-9
32. Real-time group detection in medium density crowd
Chaudhary, R. and Kumar, M. A novel method for real time group detection in medium density
crowd. In
AIP Conference Proceedings
, pages 1–6. IOP Publishing, 2024. URL
33. Space dynamic target tracking
Huang, C., Zeng, Q., Xiong, F., and Xu, J. Space dynamic target tracking method based on
five-frame difference and deepsort.
Scientific Reports
,
14
:1–19, March 2024. URL
//dx.doi.org/10.1038/s41598-024-56623-z
34. Detection of surface defects
Shu, l., Zou, g., Meng, z., and Wang, Y. A surface defect detection method for weld seam based
on sae model and background extraction method.
Social Science Research Network
, pages
1–22, 2024. URL
http://dx.doi.org/10.2139/ssrn.4756207
35. Tool for video encoding and streaming
Ganguly, M., Bhattacharyya, A., Sau, A., and Mahato, S. Synergized QoE-centric streaming
for telerobotics. In
International Conference on Computing, Networking and Communications
(ICNC)
, pages 48–54. IEEE, Big Island, HI, USA, February 2024. URL
org/10.1109/icnc59896.2024.10556105
4
36. High-speed target detection
Lu, L., Chen, S., Li, G., and Mitrouchev, P. High-speed moving target detection based on
background modeling. In
International Workshop of Advanced Manufacturing and Automa-
tion
, volume 1154 of
Lecture Notes in Electrical Engineering
, pages 307–312. Springer Nature
Singapore, 2024. URL
http://dx.doi.org/10.1007/978-981-97-0665-5_39
37. Detection of moving objects
dou, f. and Tu, M. Moving object detection and deepsort fusion for dynamic object tracking.
PREPRINT
, February 2024. URL
http://dx.doi.org/10.21203/rs.3.rs-3926726/v1
38. Real-time generation of spherical panoramic video
Gao, J., Wu, J., Huang, M., and Xu, G. Real-time generation of spherical panoramic video using
an omnidirectional multicamera system.
The Photogrammetric Record
, pages 1–31, January
2024. URL
http://dx.doi.org/10.1111/phor.12474
39. River ice regime recognition
Yang, Z., Zong, J., Zhu, Y., Liu, X., Tao, R., and Yu, Y. River ice regime recognition based on
deep learning: Ice concentration, area, and velocity.
Water
,
16
(1):1–21, December 2023. URL
http://dx.doi.org/10.3390/w16010058
40. Tile-based management system for videos
Zhong, T., Zhang, Z., Lu, G., Yuan, Y., Wang, Y.P., and Wang, G. TVM: A tile-based video
management framework.
Proceedings of the VLDB Endowment
,
17
(4):671–684, December
2023. URL
http://dx.doi.org/10.14778/3636218.3636224
41. Activity recognition
Sudharson, D., Srinithi, J., Akshara, S., Abhirami, K., Sriharshitha, P., and Priyanka, K. Proac-
tive headcount and suspicious activity detection using YOLOv8.
Procedia Computer Science
,
230
:61–69, 2023. URL
http://dx.doi.org/10.1016/j.procs.2023.12.061
42. Detection of landing points for table tennis
Ning, T., Wang, C., Fu, M., and Duan, X. A study on table tennis landing point detection
algorithm based on spatial domain information.
Scientific Reports
,
13
:1–12, November 2023.
URL
http://dx.doi.org/10.1038/s41598-023-42966-6
43. Detection of surface ice
Gu, J., N, J., Y, H., and Q, W. Radiation event extraction algorithm for CMOS cameras in
dynamic environments.
International Congress on Image and Signal Processing, BioMedical
Engineering and Informatics (CISP-BMEI)
, pages 1–6, October 2023. URL
org/10.1109/cisp-bmei60920.2023.10373259
44. Real-time multi-video query in a cloud system
Zhong, J., Niu, Y., and Zhu, M. QueryEdge: Real-time muti-video query in edge-cloud collab-
orative system. In
IEEE International Conference on Systems, Man, and Cybernetics (SMC)
,
pages 3653–3658. Institute of Electrical and Electronics Engineers (IEEE), Honolulu, Hawaii,
USA, October 2023. URL
http://dx.doi.org/10.1109/smc53992.2023.10393960
45. Generic dynamic spatio-temporal data summarization technique
Tasnim, H., Dutta, S., and Moses, M. Dynamic spatio-temporal summarization using infor-
mation based fusion.
arXiv
,
abs/2310.01617
, 2023. URL
5
46. Lightweight speaker tracking
Yu, X., Zhang, L., and Li, X.Y. E-talk: Accelerating active speaker detection with audio-visual
fusion and edge-cloud computing. In
IEEE International Conference on Sensing, Commu-
nication, and Networking (SECON)
, pages 528–536. Institute of Electrical and Electronics
Engineers (IEEE), Madrid, Spain, September 2023. URL
47. Video object segmentation for unmanned aerial and ground vehicles
Yun, K., Kim, H.I., Bae, K., and Moon, J. Background memory-assisted zero-shot video object
segmentation for unmanned aerial and ground vehicles.
ETRI Journal
, September 2023. URL
http://dx.doi.org/10.4218/etrij.2023-0115
48. Fall detection (hardware solution)Wang, S., Zhang, J., Zhang, X., Han, X., Chen, J., Hong,
Z., Chen, W., and Zhao, H. Lightweight fall detection system based on Orangepi 5B. In
In-
ternational Symposium on Sensors, Mechatronics, and Automation (ISSMAS)
, volume 12981 of
Proceedings of SPIE
. SPIE, August 2023. URL
http://dx.doi.org/10.1117/12.3015158
49. Underwater surveillance
He, N., Huang, J., Zhao, T., and Xu, Y. A region of interest extraction algorithm for underwater
surveillance video. In
IEEE International Conference on Information, Communication and Net-
works (ICICN)
, pages 794–801. Institute of Electrical and Electronics Engineers (IEEE), Xian,
China, August 2023. URL
http://dx.doi.org/10.1109/icicn59530.2023.10392818
50. Moving vehicle detection in satellite videos
Guo, D., Zhang, J., Lou, W., and Zhao, L. Moving vehicle detection in satellite videos by
improved ViBe algorithm.
Remote Sensing Letters
,
14
(8):844–853, August 2023. URL
//dx.doi.org/10.1080/2150704x.2023.2240504
51. Detection of UAVs
Tang, Z., Gao, Y., Xun, Z., Peng, F., Sun, Y., Liu, S., and Li, B. Strong detector with sim-
ple tracker. In
IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops
(CVPRW)
, pages 3047–3053. Institute of Electrical and Electronics Engineers (IEEE), Vancou-
ver, Canada, June 2023. URL
http://dx.doi.org/10.1109/cvprw59228.2023.00306
52. Detection of ship target
Huang, H., Jia, Q., and Tao, X. Sea ship target detection based on improved ViBe algorithm. In
IEEE International Conference on Information Technology, Big Data and Artificial Intelligence
(ICIBA)
, pages 603–608. Institute of Electrical and Electronics Engineers (IEEE), Chongqing,
China, May 2023. URL
http://dx.doi.org/10.1109/iciba56860.2023.10164987
53. Automatic lameness detection in dairy cows
Jia, Z., Yang, X., Wang, Z., Yu, R., and Wang, R. Automatic lameness detection in dairy
cows based on machine vision.
International Journal of Agricultural and Biological Engineer-
ing
,
16
(3):217–224, May 2023. URL
http://dx.doi.org/10.25165/j.ijabe.20231603.
54. Crowd analysis on a touristic site
Ding, S., Zhang, R., Liu, Y., Lu, P., and Liu, M. Visitor crowding at world heritage sites
based on tourist spatial-temporal distribution: a case study of the Master-of-Nets garden, China.
6
Journal of Heritage Tourism
, pages 1–26, May 2023. URL
55. Human behavior detection
Liu, L., Wang, K.I.K., Tian, B., Abdulla, W.H., Gao, M., and Jeon, G. Human behavior recog-
nition via hierarchical patches descriptor and approximate locality-constrained linear coding.
Sensors
,
23
:1–19, May 2023. URL
http://dx.doi.org/10.3390/s23115179
56. Fog detection at dawn and dusk for satellite imaging
Ma, H., Liu, Z., Jiang, K., Jiang, B., Feng, H., and Hu, S. A novel ST-ViBe algorithm for
satellite fog detection at dawn and dusk.
Remote Sensing
,
15
(9):1–19, April 2023. URL
//dx.doi.org/10.3390/rs15092331
57. Pose estimation
Li, R., Wang, M., Zhou, W., and Fu, J. Pose estimation of flying target based on bi-modal
information fusion.
Infrared and Laser Engineering
,
52
(3), April 2023. URL
58. Detection of metal hose
Chen, R., Wu, Z., Zhang, D., and Chen, J. Multizone leak detection method for metal hose
based on YOLOv5 and OMD-ViBe algorithm.
Applied Sciences
,
13
(9):1–20, April 2023. URL
http://dx.doi.org/10.3390/app13095269
59. Target intrusion detection using infrared thermal imaging
Sun, L., Ma, Q., Zhao, Y., Liu, B., Zhang, T., and Yang, H. Research on target intrusion detection
algorithm based on improved ViBe using infrared thermal imaging. In S. Zhuang and J. Chu,
editors,
Conference on Infrared, Millimeter, Terahertz Waves and Applications (IMT)
. SPIE,
Shanghai, China, April 2023. URL
http://dx.doi.org/10.1117/12.2662528
60. Detection of forest wildfire
Wang, L., Zhang, H., Zhang, Y., Hu, K., and An, K. A deep learning-based experiment on forest
wildfire detection in machine vision course.
IEEE Access
,
11
:32671–32681, March 2023. URL
http://dx.doi.org/10.1109/access.2023.3262701
61. Target detection
Sun, W., Yang, Z., Zhao, B., Wang, Y., Yang, Z., Jiang, Y., and Song, H. Research on target
detection of regional monitoring with complex background using CNN and background mod-
elling. In
International Conference on Machine Vision and Information Technology (CMVIT)
,
pages 102–106. Institute of Electrical and Electronics Engineers (IEEE), Xiamen, China, March
2023. URL
http://dx.doi.org/10.1109/cmvit57620.2023.00028
62. Motion trajectory tracking of athletes
Zhang, L. and Dai, H. Motion trajectory tracking of athletes with improved depth information-
based KCF tracking method.
Multimedia Tools and Applications
, pages 1–13, March 2023.
URL
http://dx.doi.org/10.1007/s11042-023-14929-6
63. Target detection and recognition for traffic congestion using UAVs
Iftikhar, S., Asim, M., Zhang, Z., Muthanna, A., Chen, J., El-Affendi, M., Sedik, A., and Abd
El-Latif, A.A. Target detection and recognition for traffic congestion in smart cities using deep
learning-enabled UAVs: A review and analysis.
Applied Sciences
,
13
(6):1–26, March 2023.
URL
http://dx.doi.org/10.3390/app13063995
7
64. Detection of loitering activities of humans in surveillance
Wahyono, W., Harjoko, A., Dharmawan, A., Adhinata, F.D., Kosala, G., and Jo, A. Loitering
detection using spatial-temporal information for intelligent surveillance systems on a vision
sensor.
Journal of Sensor and Actuator Networks
,
12
(1):1–17, January 2023. URL
//dx.doi.org/10.3390/jsan12010009
65. Background generation for stitching for augmented virtual environments
Zhou, Z., Meng, M., Zhou, Y., Zhu, Z., and You, J. Model-guided 3D stitching for augmented
virtual environment.
Science China Information Sciences
,
66
(1):1–16, January 2023. URL
http://dx.doi.org/10.1007/s11432-021-3323-2
66. Gas-leak area detection and gas identification based on mid-infrared images
Zhao, Q., Nie, X., Luo, D., Wang, J., Li, Q., and Chen, W. An effective method for gas-leak
area detection and gas identification with mid-infrared image.
Photonics
,
9
(12):1–15, December
2022. URL
http://dx.doi.org/10.3390/photonics9120992
67. Detection of moving targets in infrared images and calculation of its azimuth information
Li, Y., Kong, X., Liu, L., and Bai, X. Detection and azimuth information display of infrared
moving targets. In
Infrared, Millimeter-Wave, and Terahertz Technologies IX
, volume 12324
of
Proceedings of SPIE
. SPIE, December 2022. URL
68. Vehicle detection
Zhang, Y., Zhang, Y., Zhao, C., Leng, K., and Park, K.S. An adaptive vector-based vehicles
detection for urban intersection camera sensors under nighttime illumination.
IEEE Sensors
Journal
,
22
(23):23042–23050, December 2022. URL
http://dx.doi.org/10.1109/jsen.
69. Placement of objects of a fire truck
Yuan, Z. and Xu, D. Moving target detection of elevating fire truck based on D-vibe algorithm
in vehicular environment. In
China Automation Congress (CAC)
. Institute of Electrical and
Electronics Engineers (IEEE), Xiamen, China, November 2022. URL
10.1109/cac57257.2022.10055872
70. Small object detection in infrared images
Li, K., Zhang, Y., Zhang, Y., Chen, Y., and Zhao, C. Infrared detection of small-moving targets
using spatial local vector difference and temporal sample consensus measures.
IEEE Access
,
10
:113865–113874, 2022. URL
http://dx.doi.org/10.1109/access.2022.3217656
71. Object detection for surveillance
Hu, H., Shen, L., Gao, and Li, M. Object detection algorithm guided by motion information.
Journal of Beijing University of Aeronautics and Astronautics
,
48
(9):1710–1720, September
2022. URL
http://dx.doi.org/10.13700/j.bh.1001-5965.2022.0291
72. Joint detection and tracking for a drilling robot
Guo, J., Zou, X., Wang, Z., and Pan, J. Joint detection and tracking with movable camera and its
application to a drilling robot in underground coal mine. In
IEEE International Conference on
Mechatronics and Automation (ICMA)
, pages 946–951. Institute of Electrical and Electronics
Engineers (IEEE), Guilin, Guangxi, China, August 2022. URL
8
73. Crowd behavior prediction
Tripathy, S.K., Kostha, H., and Srivastava, R. TS-MDA: two-stream multiscale deep archi-
tecture for crowd behavior prediction.
Multimedia Systems
,
29
(1):15–31, July 2022. URL
http://dx.doi.org/10.1007/s00530-022-00975-x
74. Detection of foreign objects
Hu, P. Detection and recognition of foreign objects in urban rail transit lines based on image pro-
cessing.
Automation & Instrumentation
,
7
:86–90, July 2022. URL
com/articles/63759532/ji_yu_tu_xiang_chu_li_de_cheng_shi_gui_dao_jiao_tong_
75. Detection of abnormal crowd behavior
Zhao, X., Chen, J., Lin, H., Zhao, Y., and Wei, C. Detection of abnormal crowd behavior based
on ViBE and optical flow methods. In
Chinese Conference on Image and Graphics Technolo-
gies
, volume 1611 of
Communications in Computer and Information Science
, pages 208–219.
Springer Nature Singapore, July 2022. URL
http://dx.doi.org/10.1007/978-981-19-5096-4_
76. Fire detection
Zhao, S., Liu, B., Chi, Z., Li, T., and Li, S. Characteristics based fire detection system under
the effect of electric fields with improved Yolo-v4 and ViBe.
IEEE Access
,
10
:81899–81909,
2022. URL
http://dx.doi.org/10.1109/access.2022.3190867
77. Detection of vehicles by on-board smart cameras
Greco, A., Saggese, A., Vento, M., and Vigilante, V. Vehicles detection for smart roads appli-
cations on board of smart cameras: A comparative analysis.
IEEE Transactions on Intelligent
Transportation Systems
,
23
(7):8077–8089, July 2022. URL
78. Moving vehicle detection in satellite video
Wei, D., Jing, Z., and Pan, H. Moving vehicle detection in satellite video via background
subtraction and global-local features fusion faster R-CNN. In
Proceedings of the International
Conference on Aerospace System Science and Engineering
, volume 849 of
Lecture Notes in
Electrical Engineering
, pages 197–210. Springer Nature Singapore, July 2022. URL
//dx.doi.org/10.1007/978-981-16-8154-7_16
79. Detection of illegally parked vehicles
Pranata, P.Y. and Wahyono. Improved visual background extractor for illegally parked vehicle
detection.
International Journal of Intelligent Engineering and Systems
,
15
(3):416–425, June
2022. URL
http://dx.doi.org/10.22266/ijies2022.0630.35
80. Leakage detection
Lyu, C., Liu, Y., Wang, X., Chen, Y., Jin, J., and Yang, J. Visual early leakage detection for
industrial surveillance environments.
IEEE Transactions on Industrial Informatics
,
18
(6):3670–
3680, June 2022. URL
http://dx.doi.org/10.1109/tii.2021.3120027
81. ROI extraction for vein infrared images
Wang, Y., Lu, H., Gao, R., and Wang, Y. V-Vibe: A robust ROI extraction method based on back-
ground subtraction for vein images collected by infrared device.
Infrared Physics & Technology
,
123
:104175, June 2022. URL
http://dx.doi.org/10.1016/j.infrared.2022.104175
9
82. Background removal of dance clips
Wang, J., Wang, Y., Weng, N., Chai, T., Li, A., Zhang, F., and Yu, S. Will you ever become
popular? learning to predict virality of dance clips.
ACM Transactions on Multimedia Comput-
ing, Communications, and Applications
,
18
(2):1–24, May 2022. URL
83. License plate recognition
Qin, G., Yang, S., and Li, S. A vehicle path tracking system with cooperative recognition
of license plates and traffic network big data.
IEEE Transactions on Automation Science and
Engineering
,
9
(3):1033–1043, May 2022. URL
http://dx.doi.org/10.1109/tnse.2020.
84. Detection of abnormal human behavior
Ke, G., Che, R.S., Chen, Y.C., Hu, Y.X., and Wu, T.Y. Simple multi-scale human abnormal be-
haviour detection based on video.
International Journal of Information and Computer Security
,
17
(3-4), 2022. URL
http://dx.doi.org/10.1504/IJICS.2022.122376
85. Drone detection in static complex environment
Elsayed, M., Mashaly, A.S., Reda, M., and Amein, A.S. Visual drone detection in static complex
environment. In
International Conference on Electrical Engineering (ICEENG)
, pages 154–
158. Institute of Electrical and Electronics Engineers (IEEE), Cairo, Egypt, March 2022. URL
http://dx.doi.org/10.1109/iceeng49683.2022.9781946
86. Robot positioning
Zhao, R. and Feng, Y. Research on robot positioning and target detection in student compe-
tition system.
Automation & Instrumentation
,
2022
(3):172–176, March 2022. URL
//qikan.cqvip.com/Qikan/Article/Detail?id=7106878362
87. Upper-body and head pose classification
Li, Y.Y., Wang, S.J., and Hung, Y.P. A vision-based system for in-sleep upper-body and head
pose classification.
Sensors
,
2022
:1–20, March 2022. URL
88. Angle measurement between arms of a high-voltage switch
Li, P., Ding, Y., and Qi, J. An angle measurement algorithm for high-voltage switch aided by
clustering based on ghost reduction PBAS. In S. Zhu, Q. Yu, J. Su, L. Chen, and J. Chu, editors,
Symposium on Novel Photoelectronic Detection Technology and Applications
, volume 12169 of
Proceedings of SPIE
. SPIE, March 2022. URL
http://dx.doi.org/10.1117/12.2623004
89. ROI determination for drone detection
Liu, S., Li, G., Zhan, Y., and Gao, P. MUSAK: A multi-scale space kinematic method for drone
detection.
Remote Sensing
,
14
(6):1–23, March 2022. URL
90. IC solder joints inspection
Chen, W., Cai, N., Wu, Z., Wang, H., and Ma, J. IC solder joints inspection via an optimized
statistical modeling method.
IEEE Transactions on Components, Packaging and Manufacturing
Technology
,
12
(2):341–348, February 2022. URL
http://dx.doi.org/10.1109/TCPMT.
10
91. Fire detection
Liang, J.X., Zhao, J.F., Sun, N., and Shi, B.J. Random forest feature selection and back propa-
gation neural network to detect fire using video.
Journal of Sensors
,
2022
:1–10, January 2022.
URL
http://dx.doi.org/10.1155/2022/5160050
92. Detection of moving objects
Yin, F., Meng, D., and Li, A. Improving ViBe’s moving object detection algorithm.
Journal
of Harbin University of Science and Technology
,
27
(1):23–30, 2022. URL
cqvip.com/Qikan/Article/Detail?id=7106956602
93. Background subtraction for compression in live streaming
Ganguly, M., Bhattacharyya, A., Sau, A., and Purushothaman, B. A-REaLiSTIQ-ViBe: En-
tangling encoding and transport to improve live video experience. In
International Confer-
ence on COMmunication Systems & NETworkS (COMSNETS)
, pages 280–284. Institute of
Electrical and Electronics Engineers (IEEE), Bangalore, India, January 2022. URL
//dx.doi.org/10.1109/COMSNETS53615.2022.9668486
94. Noise cancelling for tracking in robotic arc welding
Xiao, R., Xu, Y., Hou, Z., Chen, C., and Chen, S. A feature extraction algorithm based on
improved snake model for multi-pass seam tracking in robotic arc welding.
Journal of Man-
ufacturing Processes
,
72
:48–60, December 2021. URL
95. Aircraft posture analysis during taxiing
Yang, F., He, X., Yang, J., and Yang, S. A method for suppressing the fluctuation of air-
craft taxiing posture. In
International Conference on Computer and Communications (ICCC)
,
pages 1036–1040. Chengdu, China, December 2021. URL
96. Detection of defects in etching lead frame mould
Wanyu, D., Shuqi, Y., and Hao, L. Improved ViBe algorithm for defect detection of the etching
lead frame mould. In
International Conference on Intelligent Systems and Knowledge Engineer-
ing (ISKE)
, pages 722–727. Institute of Electrical and Electronics Engineers (IEEE), Chengdu,
China, November 2021. URL
http://dx.doi.org/10.1109/iske54062.2021.9755327
97. Detection of construction cranes under a transmission line
Li, X. and Lu, L. Construction crane detection under transmission line based on improved Vibe
algorithm. In
Earth and Environmental Science
, volume 692 of
Journal of Physics: Confer-
ence Series
, pages 1–10. IOP Publishing, March 2021. URL
98. Multiple tracking for long video sequences
D’amato, J.P., Dominguez, L., Stramana, F., Rubiales, A., and Perez, A. An hybrid CPU-
GPU parallel multi-tracking framework for long-term video sequences. In
Workshop on En-
gineering Applications
, volume 1431 of
Communications in Computer and Information Sci-
ence
, pages 263–274. Springer International Publishing, 2021. URL
99. Tarmac monitoring
Zheng, D., Yuan, G., Wang, Y., and Zhou, H. Improved VIBE shadow elimination method
11
with adaptive threshold in the environment of tarmac monitoring. In
International Conference
on Image and Graphics (ICIG)
, volume 12890 of
Lecture Notes in Computer Science
, pages
328–340. Springer, 2021. URL
http://dx.doi.org/10.1007/978-3-030-87361-5_27
100. Vehicle detection
Xu, D. and Han, G. Application of improved ViBe algorithm in vehicle detection. In
Inter-
national Conference on Artificial Intelligence and Pattern Recognition (AIPR)
, pages 199–204.
Xiamen, China, September 2021. URL
http://dx.doi.org/10.1145/3488933.3489019
101. Prior extraction of video tubes for online surveillance video synopsis
Yang, Y., Kim, H., Choi, H., Chae, s., and Kim, I.J. Scene adaptive online surveillance video
synopsis via dynamic tube rearrangement using octree.
IEEE Transactions on Image Pro-
cessing
,
30
:8318–8331, September 2021. URL
http://dx.doi.org/10.1109/TIP.2021.
102. Tracking of multiple pedestrians in video surveillance
Wang, Z., Li, M., Lu, Y., Bao, Y., Li, Z., and Zhao, J. Effective multiple pedestrian tracking sys-
tem in video surveillance with monocular stationary camera.
Expert Systems with Applications
,
178
:1–13, September 2021. URL
http://dx.doi.org/10.1016/j.eswa.2021.114992
103. Liquid leakage detection
Doagang, P., Weiwei, L., Erjiang, Q., and Jie, H. Liquid leakage detection of power plant
pipelines based on improved Vibe algorithm. In
Power System and Green Energy Conference
(PSGEC)
, pages 640–644. Shanghai, China, August 2021. URL
104. Detection of moving objects in satellite images
Huang, P., Wang, F., Xiang, Y., and You, H. Moving target detection and tracking of satel-
lite videos based on v-csk algorithm.
Journal of University of Chinese Academy of Sciences
,
38
(3):392–401, September 2021. URL
http://html.rhhz.net/ZGKXYDXXB/1621232673097-2049612410.
105. Smoke detection
Wang, Y., Han, Q., Li, Y., and Li, Y. Video smoke detection based on multi-feature fusion
and modified random forest.
Engineering Letters
,
29
(3):1115–1122, September 2021. URL
http://www.engineeringletters.com/issues_v29/issue_3/index.html
106. Vision-based posture classification for postural ergonomic risk assessment
Seo, J. and Lee, S. Automated postural ergonomic risk assessment using vision-based posture
classification.
Automation in Construction
,
128
:1–12, August 2021. URL
org/10.1016/j.autcon.2021.103725
107. Gait recognition
Srinivasan, L.
Improved gait recognition accuracy based on DFT-GEI.
Research Square
preprint
, August 2021. URL
http://dx.doi.org/10.21203/rs.3.rs-655061/v2
108. Pedestrian re-identification
Cheng, G., Shi, J., Wang, H., Chen, L., Guo, J., and Wang, S. A study on pedestrian re-
identification based on transfer learning. In
International Conference on Image, Vision and
Computing (ICIVC)
, pages 112–118. Institute of Electrical and Electronics Engineers (IEEE),
Qingdao, China, July 2021. URL
http://dx.doi.org/10.1109/icivc52351.2021.9527027
12
109. Crowd emotion evaluation
Zhang, X., Yang, X., Zhang, W., Li, G., and Yu, H. Crowd emotion evaluation based on fuzzy
inference of arousal and valence.
Neurocomputing
,
445
:194–205, July 2021. URL
//dx.doi.org/10.1016/j.neucom.2021.02.047
110. Smoke detection from from forest fires
Gao, Y. and Cheng, P. Full-scale video-based detection of smoke from forest fires combining
ViBe and MSER algorithms.
Fire Technology
,
57
(4):1637–1666, January 2021. URL
//dx.doi.org/10.1007/s10694-020-01052-3
111. Abnormal behavior detection
Qiao, X., Zhu, W., Guo, D., Jiang, T., Chang, X., Zhou, Y., Zhu, D., and Cao, N. Design of
abnormal behavior detection system in the state grid business office. In
Advances in Artificial
Intelligence and Security
, volume 1423 of
Communications in Computer and Information Sci-
ence
, pages 510–520. Springer International Publishing, 2021. URL
112. Posture recognition
Liu, Y. and Wu, Y. A multi-feature motion posture recognition model based on genetic al-
gorithm.
Traitement du signal
,
38
(3):599–605, June 2021. URL
113. Monitoring of power substation
Xu, L., Song, Y., Zhang, W., An, Y., Wang, Y., and Ning, H. An efficient foreign objects
detection network for power substation.
Image and Vision Computing
,
109
:1–12, May 2021.
URL
http://dx.doi.org/10.1016/j.imavis.2021.104159
114. Detection of crowd abnormal behavior
Meng, B. and Li, D. Detection method for crowd abnormal behavior based on long short-term
memory network. In
Advances in Intelligent Information Hiding and Multimedia Signal Pro-
cessing
, volume 211 of
Smart Innovation, Systems and Technologies
, pages 305–313. Springer,
2021. URL
http://dx.doi.org/10.1007/978-981-33-6420-2_38
115. Detection of small targets
Uzair, M., Brinkworth, R.S., and Finn, A. Bio-inspired video enhancement for small moving
target detection.
IEEE Transactions on Image Processing
,
30
:1232–1244, 2021. URL
//dx.doi.org/10.1109/TIP.2020.3043113
116. Detection of low-altitude aerial targets
Sun, H., Liu, Q., Wang, J., Fen, J., Wu, Y., Zhao, H., and Li, H. Fusion of infrared and vis-
ible images for remote detection of low-altitude slow-speed small targets.
IEEE Journal of
Selected Topics in Applied Earth Observations and Remote Sensing
,
14
:2971–2983, February
2021. URL
http://dx.doi.org/10.1109/JSTARS.2021.3061496
117. Registration of videos captured by a UAV
Lemaire, P., Crispim-Junior, C.F., Robinault, L., and Tougne, L. Registering unmanned aerial
vehicle videos in the long term.
Sensors
,
21
(2):1–19, January 2021. URL
13
118. Human counting and tracking using a ToF camera
Wang, H., Luo, H., Zhou, W., and Xie, D. A novel approach of human tracking and counting
using overhead ToF camera. In
International Conference on Life System Modeling and Simula-
tion
, volume 1303 of
Communications in Computer and Information Science
, pages 416–429.
Springer, 2021. URL
http://dx.doi.org/10.1007/978-981-33-6378-6_31
119. Detection of tampering in surveillance video footages
Vijayaraghavan, P., Joe Nelson, M., Prasanna, R., and Raghavendran, M.K. Surveillance footage
video tampering detection.
Informatica: Journal of Applied Machines Electrical Electronics
Computer Science and Communication Systems
,
1
(1):10–16, December 2020. URL
//dx.doi.org/10.47812/IJAMECS2010102
120. Motion detection in a time-lapse camera for ecological studies
Winterl, A., Richter, S., Houstin, A., Neterova, A., Bonadonna, F., Schneider, W., Fabry, B.,
Le Bohec, C., and Zitterbart, D. micrObs – a customizable time-lapse camera for ecological
studies.
HardwareX
,
8
:1–15, October 2020. URL
http://dx.doi.org/10.1016/j.ohx.
121. Smoke vehicle detection
Tao, H. and Liu, X. Smoke vehicle detection based on spatiotemporal Bag-Of-Features and
professional convolutional neural network.
IEEE Transactions on Circuits and Systems for
Video Technology
,
30
(10):3301–3316, October 2020. URL
122. Detection of vacant spaces in parking lots
Varghese, A. and Sreelekha, G. An efficient algorithm for detection of vacant spaces in de-
limited and non-delimited parking lots.
IEEE Transactions on Intelligent Transportation Sys-
tems
,
21
(10):4052–4062, October 2020. URL
http://dx.doi.org/10.1109/TITS.2019.
123. Vehicle detection
Wang, X., Hu, X., Chen, C., Fan, Z., and Peng, S. Illuminating vehicles with motion pri-
ors for surveillance vehicle detection. In
IEEE International Conference on Image Processing
(ICIP)
, pages 2021–2025. Institute of Electrical and Electronics Engineers (IEEE), Abu Dhabi,
United Arab Emirates, October 2020.
URL
http://dx.doi.org/10.1109/ICIP40778.
124. Fall detection
Kottari, K., Delibasis, K., and Maglogiannis, I. Real-time fall detection using uncalibrated
fisheye cameras.
IEEE Transactions on Cognitive and Developmental Systems
,
12
(3):588–600,
September 2020. URL
http://dx.doi.org/10.1109/TCDS.2019.2948786
125. Automatic fall detection
Wang, K., Cao, G., Meng, D., Chen, W., and Cao, W. Automatic fall detection of human in
video using combination of features. ProgrammerSought Web site, September 2020. URL
https://www.programmersought.com/article/93563604802/
126. Multiple object tracking
Siingh, K., Karar, V., and Poddar, S. Radius nearest neighbour based feature classification for
14
occlusion handling.
Pattern Recognition and Image Analysis
,
30
:416–427, September 2020.
URL
http://dx.doi.org/10.1134/S1054661820030268
127. Blind background extraction from videos in the cloud for privacy protection
Jin, X., Yu, H., Zhang, H., Li, X., and Sun, H. Blind background extraction from videos in
the cloud.
Multimedia Tools and Applications
,
79
(39-40):28755–28771, August 2020. URL
http://dx.doi.org/10.1007/s11042-020-09386-4
128. Smoke detection
Yin, Y., Cheng, H., and Liu, H. Flue gas layer feature segmentation based on multi-channel
pixel adaptive.
Multimedia Tools and Applications
,
79
(39-40):29069–29085, August 2020.
URL
http://dx.doi.org/10.1007/s11042-020-09466-5
129. Maritime moving object detection and tracking in satellite images
Xiao, F., Yuan, F., and Cheng, E. Detection and tracking method of maritime moving targets
based on geosynchronous orbit satellite optical images.
Electronics
,
9
(7):1–19, July 2020. URL
http://dx.doi.org/10.3390/electronics9071092
130. Estimation of the walk direction of pedestrians
Raman, R., Sa, P.K., Bakshi, S., and Majhi, B. Kinesiology-inspired estimation of pedestrian
walk direction for smart surveillance.
Future Generation Computer Systems
,
108
:1008–1026,
July 2020. URL
http://dx.doi.org/10.1016/j.future.2017.10.033
131. Forest smoke detection
Wang, G., Li, J., Zheng, Y., Long, Q., and Gu, W. Forest smoke detection based on deep
learning and background modeling. In
IEEE International Conference on Power, Intelligent
Computing and Systems (ICPICS)
, pages 112–116. Shenyang, China, July 2020. URL
//dx.doi.org/10.1109/ICPICS50287.2020.9202287
132. Vehicle counting
Pratama, Y. and Ratno, P.P. Multithreading application for counting vehicle by using back-
ground subtraction method.
Indonesian Journal of Computing and Cybernetics Systems
,
14
(3):309–
318, July 2020. URL
http://dx.doi.org/10.22146/ijccs.57594
133. Crowd abnormal behavior detection
Sonkar, R., Rathod, S., Jadhav, R., and Patil, D. Crowd abnormal behaviour detection us-
ing deep learning. In
International Conference on Automation, Computing and Communication
(ICACC)
, pages 1–5. July 2020. URL
http://dx.doi.org/10.1051/itmconf/20203203040
134. Automatic visual inspection
Chen, W., Cai, N., Wang, H., Lin, J., and Wang, H. Automatic optical inspection system for IC
solder joint based on local-to-global ensemble learning.
Soldering & Surface Mount Technol-
ogy
,
33
(2):65–74, July 2020. URL
http://dx.doi.org/10.1108/SSMT-03-2020-0011
135. Detection of football players with a thermal camera
Cioppa, A., Deliège, A., Ul Huda, N., Gade, R., Van Droogenbroeck, M., and Moeslund, T.B.
Multimodal and multiview distillation for real-time player detection on a football field. In
IEEE
International Conference on Computer Vision and Pattern Recognition Workshops (CVPRW),
CVsports
, pages 3846–3855. Seattle, Washington, USA, June 2020. URL
org/10.1109/CVPRW50498.2020.00448
15
136. Fault detection of field equipment
Wu, C., Guo, S., Wu, Y., Ai, J., and Xiong, N.N. Networked fault detection of field equip-
ment from monitoring system based on fusing of motion sensing and appearance informa-
tion.
Multimedia Tools and Applications
,
79
(23-24):16319–16348, June 2020. URL
//dx.doi.org/10.1007/s11042-020-08885-8
137. Fall detection
Mohmoodzadeh, A., Agahi, H., and Vaghefi, M. A fall detection system based on the type
II fuzzy logic and multi-objective PSO algorithm.
Signal and Data Processing
,
17
(1):47–60,
2020. URL
http://jsdp.rcisp.ac.ir/browse.php?a_id=886&sid=1&slc_lang=en
138. Smoke vehicle detection
Tao, H. and Lu, X. Smoke vehicle detection based on multi-feature fusion and hidden Markov
model.
Journal of Real-Time Image Processing
,
17
:745–758, 2020. URL
org/10.1007/s11554-019-00856-z
139. Traffic flow analysis using thermopile array sensors
Zhang, Y. and Yang, B. Traffic flow detection using thermopile array sensor.
IEEE Sensors
Journal
,
20
(10):5155–5164, May 2020. URL
http://dx.doi.org/10.1109/JSEN.2020.
140. Traffic surveillance
Zeng, W., Xie, C., Yang, Z., and Lu, X. A universal sample-based background subtraction
method for traffic surveillance videos.
Multimedia Tools and Applications
,
79
:22211–22234,
May 2020. URL
http://dx.doi.org/10.1007/s11042-020-08948-w
141. Handling of blurred video frames
Bokaei, M. and Razavikia, S. Robust low rank and sparse decomposition from blurred video
frames.
TechRxiv
, April 2020. URL
http://dx.doi.org/10.36227/techrxiv.12199094
142. Estimation of the electrical network frequency
Fernández-Menduiña, S. and Pérez-González, F. Temporal localization of non-static digital
videos using the electrical network frequency.
IEEE Signal Processing Letters
,
27
:745–749,
April 2020. URL
http://dx.doi.org/10.1109/lsp.2020.2988145
143. Crowd gathering and commotion detection
Yang, D.S., Liu, C.Y., Liao, W.H., and Ruan, S.J. Crowd gathering and commotion detection
based on the stillness and motion model.
Multimedia Tools and Applications
,
79
:19435–19449,
March 2020. URL
http://dx.doi.org/10.1007/s11042-020-08827-4
144. Abnormal event detection
Yan, S., Smith, J.S., Lu, W., and Zhang, B. Abnormal event detection from videos using a two-
stream recurrent variational autoencoder.
IEEE Transactions on Cognitive and Developmen-
tal Systems
,
12
(1):30–42, March 2020. URL
http://dx.doi.org/10.1109/tcds.2018.
145. Elderly fall detection
Khraief, C., Benzarti, F., and Amiri, H. Elderly fall detection based on multi-stream deep
convolutional networks.
Multimedia Tools and Applications
,
79
:19537–19560, March 2020.
URL
http://dx.doi.org/10.1007/s11042-020-08812-x
16
146. Foreground detection of RGB-D images with a NVIDIA Jetson
Janus, P., Kryjak, T., and Gorgon, M. Foreground object segmentation in RGB-D data imple-
mented on GPU. In
Advanced, Contemporary Control
, volume 1196 of
Advances in Intelli-
gent Systems and Computing
, pages 809–820. Springer International Publishing, 2020. URL
http://dx.doi.org/10.1007/978-3-030-50936-1_68
147. Multi-lane traffic flow monitoring and detection
Liu, X., Wang, X., and Yang, Z. Multi-lane traffic flow monitoring and detection system based
on video detection.
Journal of Intelligent & Fuzzy Systems
,
38
(2):1287–1298, February 2020.
URL
http://dx.doi.org/10.3233/jifs-179492
148. Real-time vehicle counting system
Varghese, A. and Sreelekha, G. A robust, low-complexity real-time vehicle counting system for
automated traffic surveillance. In
National Conference on Communications (NCC)
, pages 1–
6. Kharagpur, India, February 2020. URL
http://dx.doi.org/10.1109/NCC48643.2020.
149. Detection of smoky vehicles from traffic surveillance videos
Tao, H. Detecting smoky vehicles from traffic surveillance videos based on dynamic fea-
tures.
Applied Intelligence
,
49
:1–16, December 2019. URL
150. White light interference fringe detection
Hu, M., Li, H., Li, H., and Li, K. White light interference fringe detection based on im-
proved ViBE algorithm. In
Symposium on Novel Optoelectronic Detection Technology and
Applications
, volume 114553A of
Proceedings of SPIE
. SPIE, December 2019. URL
//dx.doi.org/10.1117/12.2564568
151. Hardware implementation for object tracking
Wijesinghe, Y., Samarawickrama, J., and Dais, D. Hardware and software co-design for ob-
ject detection with modified ViBe algorithm and particle filtering based object tracking. In
Conference on Industrial and Information Systems (ICIIS)
, pages 506–511. Kandy, Sri Lanka,
December 2019. URL
http://dx.doi.org/10.1109/ICIIS47346.2019.9063249
152. Elderly fall detection
Khraief, C., Benzarti, F., and Amiri, H. Convolutional neural network based on dynamic motion
and shape variations for elderly fall detection.
International Journal of Machine Learning and
Computing,
,
9
(6):814–820, December 2019. URL
http://dx.doi.org/10.18178/ijmlc.
153. Detection of vehicles
Jiang, K. and Wang, J. Research on improved adaptive vibe algorithm for vehicle detection.
International Journal of Advanced Network, Monitoring and Controls
,
4
(4):11–17, 2019. URL
http://dx.doi.org/10.21307/ijanmc-2019-065
154. Fast detection and tracking of pedestrians
Wang, L., Gui, J., Lu, Z.M., and Liu, C. Fast pedestrian detection and tracking based on ViBe
combined HOG-SVM scheme.
International Journal of Innovative Computing, Information and
Control
,
15
(6):2305–2320, December 2019. URL
http://dx.doi.org/10.24507/ijicic.
17
155. Multiple object tracking
Sheng, H., Zhang, Y., Chen, J., Xiong, Z., and Zhang, J. Heterogeneous association graph fusion
for target association in multiple object tracking.
IEEE Transactions on Circuits and Systems
for Video Technology
,
29
(11):3269–3280, November 2019. URL
156. Vehicle detection
Yuan, S. and Jin, H. Vehicle detection using cascaded feature based on improved PBAS algo-
rithm.
Computer Application Research
,
36
(11):1–8, November 2019. URL
org/i10.3969/j.issn.1001-3695.2018.05.0340
157. Detection of river contaminant by UAV
Lin, Y., Zhu, Y., Shi, F., Yu, J., Huang, P., and Hou, D. Image processing techniques for UAV
vision-based river floating contaminant detection. In
Chinese Automation Congress (CAC)
,
pages 89–94. Hangzhou, China, November 2019. URL
http://dx.doi.org/10.1109/CAC48633.
158. Detection of jaywalkers
Tomas, J., Jocsing, S., Guanzon, J., and Matias, C. Effectiveness of haar-like features and vibe
algorithm for detecting jaywalkers. In
International Conference on Computational Intelligence
and Intelligent Systems (CCIS)
, pages 90–98. Bangkok, Thailand, November 2019. URL
//dx.doi.org/10.1145/3372422.3372436
159. Automatic identification of ships from videos taken by a UAV
Zhou, F., Pan, S., and Jiang, J. Verification of AIS data by using video images taken by a UAV.
The Journal of Navigation
,
72
(6):1345–1358, November 2019. URL
160. Intrusion detection at railway crossings
Cai, N., Chen, H., Li, Y., and Peng, Y. Intrusion detection and tracking at railway crossing.
In
International Conference on Artificial Intelligence and Advanced Manufacturing (AJAM)
,
pages 1–6. Dublin, Ireland, October 2019. URL
http://dx.doi.org/10.1145/3358331.
161. Smoke detection in videos
Wang, Y., Cheng, J., Liu, T., and a nd Y. Xiong, Y.Z. Smoke video detection based on lightweight
convolutional neural network. In
International Conference on Electronic Information Technol-
ogy and Computer Engineering (EITCE)
, pages 1462–1466. Xiamen, China, October 2019.
URL
http://dx.doi.org/10.1109/EITCE47263.2019.9095138
162. Surveillance of elevator cabs
Sun, Z., Xu, B., wu, D., Lu, M., and Cong, J. A real-time video surveillance and state detection
approach for elevator cabs. In
International Conference on Control, Automation and Informa-
tion Sciences (ICCAIS)
, pages 1–6. Chengdu, China, October 2019. URL
org/10.1109/ICCAIS46528.2019.9074707
163. Detection of swimmers’ motion
Hayat, M., Yang, G., Iqbal, A., Saleem, A., Hussain, A., and Mateen, M. The swimmers
motion detection using improved VIBE algorithm. In
International Conference on Robotics
18
and Automation in Industry (ICRAI)
, pages 1–6. Rawalpindi, Pakistan, October 2019. URL
http://dx.doi.org/10.1109/ICRAI47710.2019.8967390
164. Video based fire detection in photovoltaic systems
He, Z. Video based fire detection in photovoltaic system. In
International Conference on
Mechanical, Control and Computer Engineering (ICMCCE)
, pages 289–293. Hohhot, China,
October 2019. URL
http://dx.doi.org/10.1109/ICMCCE48743.2019.00072
165. Background analysis for coding
Wu, Q., Sun, T., Jiang, X., Xu, K., Xu, Q., and He, P. HEVC double compression detection
with non-aligned GOP structures based on a fusion feature with optical flow and prediction
units. In
International Congress on Image and Signal Processing, BioMedical Engineering and
Informatics (CISP-BMEI)
, pages 1–6. Suzhou, China, October 2019. URL
org/10.1109/CISP-BMEI48845.2019.8965766
166. Semi-automatic annotation for vehicle detection
Feng, R.C., Lin, D.T., Chen, K.M., Lin, Y.Y., and Liu, C.D. Improving deep learning by incorpo-
rating semi-automatic moving object annotation and filtering for vision-based vehicle detection.
In
IEEE International Conference on Systems, Man, and Cybernetics (SMC)
, pages 2484–2489.
Bari, Italy, October 2019. URL
http://dx.doi.org/10.1109/SMC.2019.8914169
167. Detection of mesh fabric defects
Liu, X., Feng, Q., Du, Y., Xu, J., Yan, H., Tong, L., Chen, X., and Zheng, D. A method for
detecting mesh fabric defects with improved ViBe.
Journal of Xi’an Polytechnic University
,
33
(5):511–516, October 2019. URL
http://dx.doi.org/10.13338/j.issn.1674-649x.
168. Crowd analysis
Pandey, M., Singhal, S., and Tripathi, V. An efficient vision-based group detection framework
in crowded scene. In
Frontiers in Intelligent Computing: Theory and Applications
, volume
1014 of
Advances in Intelligent Systems and Computing
, pages 201–209. Springer Singapore,
October 2019. URL
http://dx.doi.org/10.1007/978-981-13-9920-6_21
169. Fire detection
Jin, S. and Lu, X. Vision-based forest fire detection using machine learning. In
International
Conference on Computer Science and Application Engineering (CSAE)
, pages 1–6. Sanya,
China, October 2019. URL
http://dx.doi.org/10.1145/3331453.3361659
170. Smoke detection
Cao, Y. and Lu, X. Learning spatial-temporal representation for smokevehicle detection.
Mul-
timedia Tools and Applications
,
78
(19):27871–27889, October 2019. URL
org/10.1007/s11042-019-07926-1
171. Forest fire smoke detection
Gao, Y. and Cheng, P. Forest fire smoke detection based on visual smoke root and diffusion
model.
Fire detection
,
55
(5):1801–1826, September 2019. URL
172. Anomalous event detection and localization
Bansod, S. and Nanadedkar, A. Anomalous event detection and localization using stacked au-
19
toencoder. In
International Conference on Computer Vision and Image Processing (CVIP)
, vol-
ume 1148 of
Communications in Computer and Information Science
, pages 117–129. Springer,
September 2019. URL
http://dx.doi.org/10.1007/978-981-15-4018-9_11
173. IoT for surveillance
Sultana, T. and Wahid, K. IoT-Guard: Event-driven fog-based video surveillance system for
real-time security management.
IEEE Access
,
7
:134881–134894, September 2019. URL
//dx.doi.org/10.1109/ACCESS.2019.2941978
174. Abnormal behavior detection
Wang, Y., Luo, J., and Wang, D. Abnormal behavior detection algorithm based on weighted am-
plitude direction angle entropy of key frame.
Computer and Digital Engineering
,
9
:2281–2285,
September 2019. URL
http://caod.oriprobe.com/articles/57399074/Abnormal_Behavior_
Detection_Algorithm_Based_on_Weighted_Amplitude_Dire.htm
175. Radar tracking by fusion with a camera
Zhang, R. and Cao, S. Extending reliability of mmWave radar tracking and detection via fusion
with camera.
IEEE Access
,
7
:137065–137079, September 2019. URL
176. Detection of intrusions along railway lines
Qu, Z., Yi, W., Zhou, R., and Wang, H. Scale self-adaption tracking method of defog-PSA-Kcf
defogging and dimensionality reduction of foreign matter intrusion along railway lines.
IEEE
Access
,
7
:126720–126733, September 2019. URL
http://dx.doi.org/10.1109/ACCESS.
177. Single-pixel imaging
Ye, Z., Su, B., Qiu, P., and Gao, W. Secured regions of interest (SROIs) in single-pixel imag-
ing.
Scientific Reports
,
9
(1):1–8, September 2019. URL
178. Creation of video tubes
Ruan, T., Wei, S., Li, J., and Zhao, Y. Rearranging online tubes for streaming video synopsis: A
dynamic graph coloring approach.
IEEE Transactions on Image Processing
,
28
(8):3873–3884,
August 2019. URL
http://dx.doi.org/10.1109/TIP.2019.2903322
179. Detection of moving vehicles
Xia, X., Lu, X., Cao, Y., Xia, S., and Fu, C. Moving vehicle detection with shadow elimination
based on improved ViBe algorithm.
Journal of Physics: Conference Series
,
1302
:1–7, August
2019. URL
http://dx.doi.org/10.1088/1742-6596/1302/2/022080
180. Forgery detection in videos for foreground removal
Su, L., Luo, H., and Wang, S. A novel forgery detection algorithm for video foreground re-
moval.
IEEE Access
,
7
:109719–109728, August 2019. URL
181. Vehicle traffic statistics of video taken by UAVs
Lu, M. and Tang, Z. Implementation of vehicle traffic statistics algorithm based on ViBe image
processing. In
Materials Science and Engineering
, volume 569 of
Journal of Physics: Con-
ference Series
, pages 1–6. IOP Publishing, July 2019. URL
20
182. Smoke detection
Liu, Z., Yang, X., Liu, Y., and Qian, Z. Smoke-detection framework for high-definition video
using fused spatial- and frequency-domain features.
IEEE Access
,
7
:89687–89701, July 2019.
URL
http://dx.doi.org/10.1109/access.2019.2926571
183. Landslide detection based on a Raspberry Pi
Mishra, P., Dhar, S., and Kalra, M. Landslide detection system using computer vision approach
and Raspberry Pi. In
International Conference on Communication and Electronics Systems
(ICCES)
, pages 1201–1206. Coimbatore, India, July 2019. URL
184. Robot grabbing
Liu, S., Huang, J., Shen, Y., and Guo, Z. Application of improved VIBE algorithm in robot
grabbing system based on visual servo. In
International Conference on Robotics, Control and
Automation (ICRCA)
, pages 105–110. Guangzhou, China, July 2019. URL
185. Building a dataset for training a fish detector
Konovalov, D., Saleh, A., Bradley, M., Sankupellay, M., Marini, S., and Sheaves, M. Un-
derwater fish detection with weak multi-domain supervision. In
International Joint Confer-
ence on Neural Networks (IJCNN)
, pages 1–8. Budapest, Hungary, July 2019. URL
//dx.doi.org/10.1109/IJCNN.2019.8851907
186. Synthesis of abnormal activities for training
Joshi, A. and Namboodiri, V. Unsupervised synthesis of anomalies in videos: Transforming the
normal. In
International Joint Conference on Neural Networks (IJCNN)
, pages 1–8. Budapest,
Hungary, July 2019. URL
http://dx.doi.org/10.1109/IJCNN.2019.8852035
187. Person tracking and re-identification
Chen, A.T.Y., Biglari-Abhari, M., and Wang, K.I.K. Investigating fast re-identification for
multi-camera indoor person tracking.
Computers & Electrical Engineering
,
77
:273–288, July
2019. URL
http://dx.doi.org/10.1016/j.compeleceng.2019.06.009
188. Human behavior analysis
Li, D., Qian, L., Peng, L., Zhu, Z., Bai, P., and Wang, X. Detection and analysis of human
behavior in video monitoring. In
International Conference on Wireless Communication, Net-
work and Multimedia Engineering (WCNME)
, volume 89 of
Advances in Computer Science
Research
, pages 213–215. Atlantis Press, June 2019. URL
189. Object detection and tracking for video surveillance based crowd activity analysis
Yang, M.
Video Surveillance based Crowd Activity Analysis
. Ph.D. thesis, School of Computing
and Information Systems, University of Melbourne, Australia, June 2019
190. Target tracking
Liu, J., Zhou, L., and Zhao, L. Advanced Wang-Landau Monte Carlo-based tracker for abrupt
motions.
IEEJ Transactions on Electrical and Electronic Engineering
,
14
(6):877–883, June
2019. URL
http://dx.doi.org/10.1002/tee.22877
21
191. Fall detection of elderly people
Malik, R., Rastogi, K., Tripathi, V., and Badal, T. An efficient vision based elderly care monitor-
ing framework using fall detection.
Journal of Statistics and Management Systems
,
22
(4):603–
611, June 2019. URL
http://dx.doi.org/10.1080/09720510.2019.1609185
192. Infrared target detection
Wu, Y., Wang, Y., and and, P.L.
Infrared LSS-target detection via adaptive TCAIE-LGM
smoothing and pixel-based background subtraction.
Photonic Sensors
,
9
(2):179–188, June
2019. URL
http://dx.doi.org/10.1007/s13320-018-0523-8
193. Vehicle tracking
Chen, Y., Jing, L., Vahdani, E., Zhang, L., He, M., and Tian, I. Multi-camera vehicle tracking
and re-identification on AI city challenge 2019. In
IEEE International Conference on Computer
Vision and Pattern Recognition Workshops (CVPRW)
, pages 324–332. Long Beach, California,
USA, June 2019
194. Fire detection
Gao, Y., b. Ciren, L., f. Yang, M., and Duan, Q. Preliminary study on the application of edge
computing in fire detection.
Fire Science and Technology
,
5
:664–667, May 2019. URL
//caod.oriprobe.com/articles/56814531/Preliminary_study_on_the_application_
195. Moving object detection (in combination with deep learning)
Huang, H.Y., Lin, C.Y., Lin, W.Y., Lee, C.C., and Chang, C.Y. Deep learning based moving
object detection for video surveillance. In
IEEE International Conference on Consumer Elec-
tronics (ICCE)
, pages 1–2. IEEE, Yilan, Taiwan, May 2019. URL
1109/icce-tw46550.2019.8991778
196. Object tracking
De Ath, G.
Object Tracking in Video with Part-Based Tracking by Feature Sampling
. Ph.D.
thesis, University of Exeter, England, UK, May 2019
197. Flame detection
Yu, N. and Chen, Y. Video flame detection method based on two-stream convolutional neu-
ral network. In
IEEE Joint International Information Technology and Artificial Intelligence
Conference (ITAIC)
, pages 482–486. Institute of Electrical and Electronics Engineers (IEEE),
Chongqing, China, May 2019. URL
http://dx.doi.org/10.1109/ITAIC.2019.8785841
198. Material science: equipment testing
Yano, K.
In situ TEM mechanical testing of irradiated oxide dispersion strengthened alloys
.
Ph.D. thesis, Purdue University, West Lafayette, Indiana, USA, May 2019
199. Anomaly detection of pumping units
Yu, T., Yang, J., and Lu, W. Combining background subtraction and convolutional neural net-
work for anomaly detection in pumping-unit surveillance.
Algorithms
,
12
(6):1–13, May 2019.
URL
http://dx.doi.org/10.3390/a12060115
200. Detection of moving targets
Ding, Z. and Lu, W.Z. Moving target detection algorithm based on Vibe background modeling.
Computer Systems and Applications
,
28
(4):183–187, April 2019. URL
22
201. Through-wall radar detection
Zheng, Z., Liu, Q., and Jin, L. Dynamic threshold ViBe algorithm for moving target detection
of through-wall radar.
Radar Science and Technology
,
17
(4):433–439, 2019. URL
//caod.oriprobe.com/issues/1922438/toc.htm
202. Abnormal target recognition
Wu, J., Wu, C., Wu, Y., Xiong, N., and Ren, H. Abnormal target recognition and application in
smart function area based on video sensing technology.
Data Science and Industrial Internet
,
2
(1):39–55, 2019
203. Safety analysis at intersections
Zhang, Q., Yang, Z., and Sun, D. Automated data collection and safety analysis at intersections
based on a novel video processing system.
Transportation Research Record
,
2673
(4):136–144,
April 2019. URL
http://dx.doi.org/10.1177/0361198119838979
204. Vehicle traffic analysis
Yang, Z. and Zhang, Q. A video-based framework for automated trajectory collection at inter-
sections.
Journal of Tongji University (Natural Science)
,
47
(3):369–377, March 2019. URL
http://dx.doi.org/10.11908/j.issn.0253-374x.2019.03.010
205. VideoSAR single-frame imagery
Liu, Z., An, D., and Huang, X. Moving target shadow detection and global background recon-
struction for VideoSAR based on single-frame imagery.
IEEE Access
,
7
:42418–42425, March
2019. URL
http://dx.doi.org/10.1109/ACCESS.2019.2907146
206. Human action recognition
Lu, T., Yu, F., and Chen, Y. A human action recognition method based on LSDA dimen-
sion reduction.
Computer Engineering
,
45
(3):237–241,249, March 2019. URL
oriprobe.com/articles/56453313/A_Human_Action_Recognition_Method_Based_on_
207. Abnormal behavior detection
Wang, X., Yang, L., Hu, J., and Yang, X. A classification algorithm for abnormal behavior
of medium and high-density groups based on ViBe.
Journal of Chengdu Normal University
,
35
(3):118–124, March 2019. URL
10.3969/j.issn.2095-5642.2019.03.118
208. Object isolation for the RoboCup competition (Robot vision)
Rostami, V., Mansournia, P., Akar, A., Kamkar, M., Jalili, F., and Mehralian, M. ATIS-bots
RoboCup@Work 2019 team description paper. Technical report, Qazvin Islamic Azad Univer-
sity, February 2019. URL
http://mrl-atwork.ir/index.php
209. Background subtraction for continuous EEG analysis
Sors, A.
Deep learning for continuous EEG analysis
. Ph.D. thesis, Université Grenoble Alpe,
France, February 2018
210. Detection of smoky vehicles
Tao, H. and Lu, X. Automatic smoky vehicle detection from traffic surveillance video based on
vehicle rear detection and multi-feature fusion.
IET Intelligent Transport Systems
,
13
(2):252–
259, February 2019. URL
http://dx.doi.org/10.1049/iet-its.2018.5039
23
211. Detection of multiple UAVs
Yang, T., Li, Z., Zhang, F., Xie, B., Li, J., and Liu, L. Panoramic UAV surveillance and recycling
system based on structure-free camera array.
IEEE Access
,
7
:25763–25778, February 2019.
URL
http://dx.doi.org/10.1109/ACCESS.2019.2900167
212. Human fall detection
Kong, Y., Huang, J., Huang, S., Wei, Z., and Wang, S. Learning spatiotemporal representa-
tions for human fall detection in surveillance video.
Journal of Visual Communication and
Image Representation
,
59
:215–230, February 2019. URL
213. Trichomonas Detection
Du, X., Liu, L., Wang, X., Zhang, J., Ni, G., Hao, R., Liu, J., and Liu, Y. Trichomonas detection
in leucorrhea based on VIBE method.
Computational and Mathematical Methods in Medicine
,
2019
:1–10, January 2019. URL
http://dx.doi.org/10.1155/2019/5856970
214. Visual tracking
Liu, J., Zhang, B., and Cheng, X. An adaptive superpixel tracker using multiple features.
Com-
puters, Materials & Continua
,
60
(3):1097–1108, January 2019. URL
215. Water environment monitoring
Wang, Y., Zhang, X., Chen, J., Cheng, Z., and Wang, D. Camera sensor-based contamination
detection for water environment monitoring.
Environmental Science and Pollution Research
,
26
(3):2722–2733, January 2019. URL
http://dx.doi.org/10.1007/s11356-018-3645-z
216. Human action recognition
Kim, S., Yun, K., Park, J., and Choi, J. Skeleton-based action recognition of people handling
objects.
arXiv
,
abs/1901.06882
, 2019. URL
https://arxiv.org/abs/1901.06882
217. Multiple object tracking in 3D
Tang, Z. and Hwang, J.N. MOANA: An online learned adaptive appearance model for robust
multiple object tracking in 3D.
arXiv
,
abs/1901.02626
, January 2019. URL
218. Sperm mobility analysis
Ozgur, M., Okumus, F., and Kocamaz, A. A novel computer assisted sperm analyzer for as-
sessment of spermatozoa motility in fish; BASA-sperm aqua.
El-Cezeri Journal of Science and
Engineering
,
6
(1):208–219, January 2019. URL
http://dx.doi.org/10.31202/ecjse.
219. Detection of micro air vehicles
Dorudian, N., Lauria, S., and Swift, S. Nonparametric background modelling and segmentation
to detect micro air vehicles (MAV) using RGB-D sensor.
International Journal of Micro Air
Vehicles
,
11
:1–20, January 2019. URL
http://dx.doi.org/10.1177/1756829318822327
220. Target segmentation for thermal video sequences
Yang, D. Detail-enhanced target segmentation method for thermal video sequences based on
spatiotemporal parameter update technique.
IET Image Processing
,
13
(1):216–223, January
2019. URL
http://dx.doi.org/10.1049/iet-ipr.2018.5341
24
221. Detection of smoky vehicles
Tao, H. and Lu, X. Smoky vehicle detection based on multi-feature fusion and ensemble neural
networks.
Multimedia Tools and Applications
,
77
(24):32153–32177, December 2018. URL
http://dx.doi.org/10.1007/s11042-018-6248-2
222. Interactive multiple video fusion in 3D environments
Zhou, Y., Cao, M., You, J., Meng, M., Wang, Y., and Zhou, Z. MR video fusion: Interactive
3d modeling and stitching on wide-baseline videos. In
ACM Symposium on Virtual Reality
Software and Technology (VRST)
, pages 1–11. ACM, Tokyo, Japan, November 2018. URL
http://dx.doi.org/10.1145/3281505.3281513
223. Target detection
Shao, X., Chen, X., Li, K., Lv, Z., and Zhu, H. An improved moving target detection method
based on Vibe algorithm. In
Chinese Automation Congress (CAC)
, pages 1928–1931. Xi’an,
China, November 2018. URL
http://dx.doi.org/10.1109/CAC.2018.8623322
224. Person re-identification
Chen, A., Biglari-Abhari, M., and Wang, K. Fast one-shot learning for identity classification
in person re-identification and tracking. In
International Conference on Control, Automation,
Robotics and Vision (ICARCV)
, pages 1197–1203. Singapore, November 2018. URL
//dx.doi.org/10.1109/ICARCV.2018.8581291
225. Vehicle detection
Zhang, Y., Zhao, C., Shi, W., and Leng, K. Vehicles detection for illumination changes ur-
ban traffic scenes employing adaptive local texture feature background model.
IET Intelligent
Transport Systems
,
12
(10):1283–1290, October 2018. URL
226. Traffic monitoring
Del Carmen, D. and Cajote, R. Assessment of vision-based vehicletracking for traffic monitor-
ing applications. In
Asia-Pacific Signal and Information Processing Association Annual Summit
and Conference (APSIPA)
, pages 2014–2021. Honolulu, Hawaii, USA, November 2018. URL
http://dx.doi.org/10.23919/APSIPA.2018.8659455
227. Tracking of humans by a mobile robot
Tsai, T.H. and Yao, C.H. A real-time tracking algorithm for human following mobile robot. In
International SoC Design Conference (ISOCC)
, pages 78–79. Daegu, South Korea, November
2018. URL
http://dx.doi.org/10.1109/ISOCC.2018.8649982
228. Crowd honeybee colony analysis
Li, Y. and Takahashi, S. Small object tracking in high density crowd scenes. In
Cognitive
Internet of Things: Frameworks, Tools and Applications
, volume 810 of
Studies in Computa-
tional Intelligence
, pages 497–505. Springer, November 2018. URL
229. Detection of flying birds
Wu, T., Luo, X., and Xu, Q. A new skeleton based flying bird detection method for low-altitude
air traffic management.
Chinese Journal of Aeronautics
,
31
(11):2149–2164, November 2018.
URL
http://dx.doi.org/10.1016/j.cja.2018.01.018
25
230. Surveillance of goats
Wang, D., Tang, J., Zhu, W., Li, H., Xin, J., and He, D. Dairy goat detection based on Faster
R-CNN from surveillance video.
Computers and Electronics in Agriculture
,
154
:443–449,
November 2018. URL
http://dx.doi.org/10.1016/j.compag.2018.09.030
231. Person re-identification
Saghafi, M., Hussain, A., Hanif Md. Saad, M., Asyraf Zulkifley, M., Md Tahir, N., and Faisal Ibrahim,
M. Pose and illumination invariance of attribute detectors in person re-identification.
Interna-
tional Journal of Engineering & Technology
,
7
(4.11):174–178, October 2018. URL
//dx.doi.org/10.14419/ijet.v7i4.11.20796
232. Detection of smoky vehicles
Tao, H. and Lu, X. Smoky vehicle detection based on range filtering on three orthogonal planes
and motion orientation histogram.
IEEE Access
,
6
:57180–57190, October 2018. URL
//dx.doi.org/10.1109/ACCESS.2018.2873757
233. Simultaneous localization and mapping (SLAM)
Xu, Y., Guo, Q., and Chen, J. Dynamic object detection using improved Vibe for RGB-D
SLAM. In
IEEE International Conference on Systems, Man, and Cybernetics (SMC)
, pages
1664–1669. Miyazaki, Japan, October 2018. URL
http://dx.doi.org/10.1109/SMC.2018.
234. Traffic monitoring
Celso, R., Ting, Z., Del Carmen, D., and Cajote, R. Two-step vehicle classification system for
traffic monitoring in the Philippines. In
TENCON, IEEE Region 10 Conference
, pages 2028–
2033. Jeju, South Korea, October 2018.
URL
http://dx.doi.org/i10.1109/TENCON.
235. Detection of wildfires
Yuan, J., Wang, L., Wu, P., Gao, C., and Sun, L. Detection of wildfires along transmission lines
using deep time and space features.
Pattern Recognition and Image Analysis
,
28
(4):805–812,
October 2018. URL
http://dx.doi.org/10.1134/S1054661818040168
236. Detection of smoky vehicles
tao, H. and Lu, X. Smoky vehicle detection based on range filtering on three orthogonal planes
and motion orientation histogram.
IEEE Access
,
6
:57180–57190, October 2018. URL
//dx.doi.org/10.1109/ACCESS.2018.2873757
237. Detection of vehicles by UAVs
Zhang, H., Meng, C., guo, P., Ding, X., and Li, Z. Vehicle detection in UAV aerial video. In
Workshop on Planning, Perception and Navigation for Intelligent Vehicles (PPNIV)
, pages 1–6.
Madrid, Spain, October 2018. URL
https://project.inria.fr/ppniv18/files/2018/
238. Detection of targets for unmanned aerial vehicle landing
Li, Z., Meng, C., Zhou, F., Ding, X., Wang, X., Zhang, H., Guo, P., and Meng, X. Fast vision-
based autonomous detection of moving cooperative target for unmanned aerial vehicle landing.
Journal of Field Robotics
,
2018
:1–15, October 2018. URL
26
239. Vehicle detection
Tao, H. and Lu, X. Smoky vehicle detection based on multi-scale block Tamura features.
Signal,
Image and Video Processing
,
12
(6):1061–1068, February 2018. URL
240. Fish tail beat frequency estimation
Yildirym, Y., Toreyin, B., Kucukali, S., Verep, B., Turan, D., and Alp, A. Image analysis
based fish tail beat frequency estimation for fishway efficiency. In
European Signal Process-
ing Conference (EUSIPCO)
, pages 1790–1794. Roma, Italy, September 2018. URL
//dx.doi.org/10.23919/EUSIPCO.2018.8553199
241. Surveillance of pumping units
Yu, T., Yang, J., and Lu, W. Background modeling with extracted dynamic pixels for pumping
unit surveillance.
Mathematical Problems in Engineering
,
2018
:1–11, September 2018. URL
http://dx.doi.org/10.1155/2018/8938673
242. Vehicle counting
Xiang, X., Zhai, M., Lv, N., and El Saddik, A. Vehicle counting based on vehicle detection and
tracking from aerial videos.
Sensors
,
18
(8):1–17, August 2018. URL
243. Video surveillance (with WiFi cameras)
Cao, J., Wang, Y., and Zhang, X. Algorithm of moving object detection of surveillance video
combined with WiFi technology. In
IEEE International Conference on Information and Au-
tomation (ICIA)
, pages 1582–1586. Wuyishan, China, August 2018. URL
org/10.1109/ICInfA.2018.8812395
244. Fish detection from low visibility underwater videos
Shevchenko, V., Eerola, T., and Kaarna, A. Fish detection from low visibility underwater videos.
In
IEEE International Conference on Pattern Recognition (ICPR)
, pages 1971–1976. Beijing,
China, August 2018. URL
http://dx.doi.org/10.1109/ICPR.2018.8546183
245. Fall detection
Yan, W., Xie, J., Li, P., and Liu, T. Robust recognition algorithm for fall down behavior. In
Chi-
nese Conference on Biometric Recognition
, volume 10996 of
Lecture Notes in Computer Sci-
ence
, pages 662–668. Springer, 2018. URL
http://dx.doi.org/10.1007/978-3-319-97909-0_
246. Detection of smoky vehicles
Cao, Y., Lu, C., Lu, X., and Xia, X. A spatial pyramid pooling convolutional neural network
for smoky vehicle detection. In
Chinese Control Conference (CCC)
, pages 9170–9175. Wuhan,
China, July 2018. URL
http://dx.doi.org/10.23919/ChiCC.2018.8483521
247. Rat cyborg automated navigation
Zhang, Z., Yang, Y., Wu, Z., and Ma, Q. A posture recognition system for rat cyborg automated
navigation.
Chinese Journal of Electronics
,
27
(4):687–693, July 2018. URL
248. Human positioning
Tong, J., Chen, L., and Cao, Y. Human positioning based on probabilistic occupancy map. In
27
International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery
(ICNC-FSKD)
, pages 271–275. Huangshan, China, July 2018. URL
249. Detection of abandoned objects
Shyam, D., Kot, A., and Athalye, C. Abandoned object detection using pixel-based finite state
machine and single shot multibox detector. In
IEEE International Conference on Multimedia
and Expo (ICME)
, pages 1–6. San Diego, California, USA, July 2018. URL
250. Detection of foreign substances detection algorithm for liquid in transparent glass bottles
Zhao, R., Liu, L., Chen, X., Song, J., and Jiang, S. Foreign substances detection algorithm for
liquid in transparent glass bottles based on the combination of guided filter and visual back-
ground extractor.
Journal of Electronic Imaging
,
27
(4), July 2018. URL
251. Crisis management
Hetu, S., Gupta, S., Vu, V.A., and Tan, G. A simulation framework for crisis management:
Design and use.
Simulation Modelling Practice and Theory
,
85
:15–32, June 2018. URL
//dx.doi.org/10.1016/j.simpat.2018.03.001
252. Real-time implementation on a Raspberry 3 platform
Pérez, M., Cavanzo Nisso, G.A., and Villavisán Buitrago, F. Sistema embebido de detección
de movimiento mediante visión artificial.
Visión electrónica
,
12
(1):91–101, June 2018. URL
http://dx.doi.org/10.14483/22484728.15087
253. Hyper-spectral video restoration
m. Tan, C., f. Xu, T., Ma, X., h. Zhang, Y., Wang, X., and Yan, G. Graph-spectral hyperspectral
video restoration based on compressive sensing.
Chinese Optics
,
11
(6):949–957, 2018. URL
http://dx.doi.org/10.3788/CO.20181106.0949
254. Ship detection
Chao, S., Enqing, C., and Lin, Q. Ship detection from infrared video.
Opto-Electronic En-
gineering
,
45
(6):170748:1–6, June 2018. URL
http://dx.doi.org/10.12086/oee.2018.
255. Forest fire smoke detection
Lu, C., Cao, Y., Lu, X., Cai, M., and Feng, X. Moving target detection algorithm for forest fire
smoke recognition with improved ViBe. In
International Conference on Information System
and Artificial Intelligence (ISAI)
, volume 1069, pages 1–7. Suzhou, China, June 2018. URL
http://dx.doi.org/10.1088/1742-6596/1069/1/012156
256. Action recognition
Ji, X., Jin, Z., Cao, J., and Wang, Y. Two-person interaction action recognition based on multi-
source information fusion algorithm. In
International Conference on Information Science and
Technology (ICIST)
, pages 466–471. IEEE, Cordoba, Granada, and Seville, Spain, June 2018.
URL
http://dx.doi.org/10.1109/ICIST.2018.8426081
257. Real-time key frame extraction
Shen, T., Sun, Z.L., Han, F.Q., and Wang, Y.M. Real-time key frame extraction in a low lighting
28
condition. In
International Symposium on Neural Networks
, volume 10878 of
Lecture Notes
in Computer Science
, pages 601–610. Springer, 2018. URL
258. Maritime surveillance
Adiguzel, D. and Ozyilmaz, L. Improving of ViBE algoritihm for moving target detection at
maritime surveilance. In
26th Signal Processing and Communications Applications Conference
(SIU)
, pages 1–4. Institute of Electrical and Electronics Engineers (IEEE), Izmir, Turkey, May
2018. URL
http://dx.doi.org/10.1109/siu.2018.8404679
259. Vehicle detection
Tao, H. and Lu, X. Smoky vehicle detection in surveillance video based on gray level co-
occurrence matrix. In
International Conference on Digital Image Processing (ICDIP)
, volume
10806 of
Proceedings of SPIE
. SPIE, May 2018. URL
260. Vehicle detection
Zhang, Q., Zhao, J., Zhai, J., Zhang, J., and Cui, H. Smoke detection in video using dissipation
function and support vector machine. In
International Conference on Digital Image Processing
(ICDIP)
, volume 10806 of
Proceedings of SPIE
. SPIE, May 2018. URL
261. Building replates
Chen, G., Sander, P., and Nehab, D. The replate.
Proceedings of the ACM on Computer Graph-
ics and Interactive Techniques
,
1
(1):1–14, May 2018. URL
262. Detection of protective equipment
Hatipoglu, O. and Hocaoglu, A. Detection of personal protective equipment. In
Signal Pro-
cessing and Communications Applications Conference (SIU)
, pages 1–4. May 2018. URL
http://dx.doi.org/10.1109/SIU.2018.8404536
263. Real-time fish animation generation
Meng, X., Pan, J., Qin, H., and Ge, P. Real-time fish animation generation by monocular camera.
Computers & Graphics
,
71
:55–65, April 2018. URL
http://dx.doi.org/10.1016/j.cag.
264. Transmission electron microscopy testing
Yano, K., Thomas, S., Swenson, M., Lu, Y., and Wharry, J. TEM in situ cube-corner indentation
analysis using ViBe motion detection algorithm.
Journal of Nuclear Materials
,
502
:201–212,
April 2018. URL
http://dx.doi.org/10.1016/j.jnucmat.2018.02.003
265. Video summarization
Mishra, P. and Sharma, S. Automatic variable length summarized video using motion of object.
In
International Conference on Current Trends towards Converging Technologies (ICCTCT)
,
pages 1–6. Coimbatore, India, March 2018. URL
http://dx.doi.org/10.1109/ICCTCT.
266. Detection of moving targets
Luo, H. Improved moving target detection algorithm based on Vibe.
Automation & Instru-
29
mentation
,
3
:51–54, 2018.
URL
https://qikan.cqvip.com/Qikan/Article/Detail?
267. Automatic helmet wearing detection
Li, K., Zhao, X., Bian, J., and Tan, M. Automatic safety helmet wearing detection.
CoRR
,
abs/1802.00264
, February 2018. URL
https://arxiv.org/abs/1802.00264
268. Anti-UAVs Surveillance System
Li, Z., Yang, T., Li, J., Zhang, Z., Liu, R., and Xie, B. Anti-UAVs surveillance system based
on ground random fisheye camera array. In
International Conference on Image and Graphics
Processing (ICIGP)
, pages 138–142. Hong Kong, February 2018. URL
269. Fish species recognition
sun, X., Shi, J., Liu, L., Dong, J., Plant, C., Wang, X., and Zhou, H. Transferring deep knowl-
edge for object recognition in low-quality underwater videos.
Neurocomputing
,
275
:897–908,
January 2018. URL
http://dx.doi.org/10.1016/j.neucom.2017.09.044
270. Object tracking at crossroads
Liu, C.H., Zhang, L., and Huang, H. Visualization of cross-view multi-object tracking for
surveillance videos in crossroad.
Chinese Journal of Computers
,
41
(1):221–235, January 2018.
URL
http://dx.doi.org/10.11897/SP.J.1016.2018.00221
271. Detection of pollutants and toxicants
Hader, D.P. and Erzinger, G. Daphniatox. In
Bioassays
, pages 221–240. Elsevier, 2018. URL
http://dx.doi.org/10.1016/B978-0-12-811861-0.00011-5
272. Tracking of vehicles
Min, W., Fan, M., Guo, X., and Han, Q. A new approach to track multiple vehicles with the com-
bination of robust detection and two classifiers.
IEEE Transactions on Intelligent Transportation
Systems
,
19
(1):174–186, January 2018. URL
http://dx.doi.org/10.1109/TITS.2017.
273. Fish species recognition
sun, X., Shi, J., Liu, L., Dong, J., Plant, C., Wang, X., and Zhou, H. Transferring deep knowl-
edge for object recognition in low-quality underwater videos.
Neurocomputing
,
275
:897–908,
January 2018. URL
http://dx.doi.org/10.1016/j.neucom.2017.09.044
274. Estimation of the distance to an airbone object
Mikluc, D.L., Andri´c, M.S., Mitrovi´c, S.T., and Bondžuli´c, B.P. Improved method for passive
ranging based on surface estimation of an airborne object using an infrared image sensor.
Optica
Applicata
,
XLVII
(3):383–394, 2017. URL
http://dx.doi.org/10.5277/oa170305
275. Target detection for binocular vision
Cui, X., Wang, M., Fan, B., and Yi, J. Target detection based on binocular stereo vision.
In
International Conference on Computer Technology, Electronics and Communication (IC-
CTEC)
, pages 1093–1097. Dalian, China, December 2017. URL
30
276. Pipeline for indoor person tracking
Chen, A., Fan, J., Biglari-Abhari, M., and Wang, K. A computationally efficient pipeline for
camera-based indoor person tracking. In
International Conference on Image and Vision Com-
puting New Zealand (IVCNZ)
, pages 1–6. Christchurch, New Zealand, December 2017. URL
http://dx.doi.org/10.1109/IVCNZ.2017.8402479
277. Smoke detection
Zhang, Q., Liu, F., Li, X., and Li, B. Dissipation function and ViBe based smoke detection in
video. In
International Conference on Multimedia and Image Processing (ICMIP)
, pages 325–
329. Wuhan, China, December 2017. URL
http://dx.doi.org/10.1109/ICMIP.2017.62
278. Online multiple pedestrian tracking
Wang, Z., Yoon, S., and Park, D. Online adaptive multiple pedestrian tracking in monocular
surveillance video.
Neural Computing and Applications
,
28
(1):127–141, December 2017. URL
http://dx.doi.org/10.1007/s00521-016-2319-3
279. Detection of moving vehicles from high definition satellite videos
Zhang, J., Jia, X., and Hu, J. Motion flow clustering for moving vehicle detection from satellite
high definition video. In
Digital Image Computing Techniques and Applications
, pages 1–7.
IEEE, Sydney, New South Wales, Australia, November 2017. URL
280. Detection of smoke
Li, B., Zhang, Q., and Shi, C. Dissipation function and adaptive gradient reconstruction based
smoke detection in video. In
SPIE LIDAR Imaging Detection and Target Recognition
. Changchun,
China, November 2017. URL
http://dx.doi.org/10.1117/12.2295197
281. Defogging
Guo, J.M., Syue, J.y., Radzicki, V.R., and Lee, H. An efficient fusion-based defogging.
IEEE
Transactions on Image Processing
,
26
(9):4217–4228, September 2017. URL
282. Intrusion detection
andd C. Wang, C.Y., Du, J., Fang, H., Wang, Y., Xiang, X., and Guo, X. Intrusion detection
for engineering vehicles under the transmission line based on deep learning. In
IEEE Interna-
tional Conference on Software Engineering and Service Science (ICSESS)
, pages 46–49. Bei-
jing, China, November 2017. URL
http://dx.doi.org/10.1109/ICSESS.2017.8342861
283. Detection of vehicles
Datondji, S.
Wide-baseline Omnidirectional Stereovision for Intersection Monitoring
. Ph.D.
thesis, Normandie Université, France, November 2017. URL
https://tel.archives-ouvertes.
284. Detection of fish trajectories
Tian, C., Huang, Z., Xiong, B., Zhan, J., Shi, X., and Lin, C. Fish swimming 3D trajectory
reconstruction based on multi-view geometry.
Journal Of Fisheries Of China
,
41
(10):1631–
1637, 2017
285. Vehicle detection
Herle, L. and Sharma, P. Vehicle detection and identification in an unconstrained environment.
31
In
Proceeding International conference on Recent Innovations is Signal Processing and Em-
bedded Systems
, pages 66–69. Bhopal, India, October 2017. URL
286. Gas leak detection
Huang, L. and Zeng, X. Gas leak detection in infrared video with background modeling. In
Remote Sensing Image Processing, Geographic Information Systems, and Other Applications
,
volume 10611 of
Proceedings of SPIE
, pages 1–8. SPIE, October 2017. URL
287. Gamifying object segmentation
Palazzo, S., Spampinato, C., and Giordano, D. Gamifying video object segmentation.
IEEE
Transactions on Pattern Analysis and Machine Intelligence
,
39
(10):1942–1958, October 2017.
URL
http://dx.doi.org/10.1109/TPAMI.2016.2610973
288. Crowdedness measuring by video
Kim, Y., Park, S., and Kim, H. Crowdedness measuring system considering view angle of
CCTV camera. In
International Conference on Information and Communication Technology
Convergence (ICTC)
, pages 1149–1152. Jeju Island, South Korea, October 2017. URL
//dx.doi.org/10.1109/ICTC.2017.8190882
289. Identification of vehicles
Liu, Y., Xia, D., Qiu, Q., and Cai, D. Research on visual background extractor to identify the
vehicles based on edge similarity.
International Journal of Wireless and Mobile Computing
,
13
(1):8–14, 2017. URL
http://dx.doi.org/10.1504/IJWMC.2017.087357
290. Fire and smoke detection
Wu, X., Lu, X., and Leung, H. An adaptive threshold deep learning method for fire and smoke
detection. In
IEEE International Conference on Systems, Man, and Cybernetics (SMC)
, pages
1954–1959. Banff, Canada, October 2017. URL
http://dx.doi.org/10.1109/SMC.2017.
291. Vehicle detection
Peng, S. A vehicle detection algorithm based on improved ViBe and cascade classifier.
Modern
Computer
,
8
:60–65, 2017.
URL
http://caod.oriprobe.com/articles/51065014/A_
Vehicle_Detection_Algorithm_Based_on_Improved_ViBe_and_Cascade_Class.htm
292. Crowd behavior understanding
Lu, L., He, J., Xu, Z., Xu, Y., Zhang, C., Wang, J., and Adu, J. Crowd behavior understanding
through SIOF feature analysis. In
IEEE International Conference on Automation & Comput-
ing
. Huddersfield, England, UK, September 2017. URL
293. Human motion analysis
Golodov, V., Zavei-Boroda, A., Ivanov, S., and Nikolskaya, K. Development of a deep learning
neural network for human movements analysis. In
Russia and Pacific Conference on Computer
Technology and Applications (RPC)
, pages 72–74. Vladivostok, Russia, September 2017. URL
http://dx.doi.org/10.1109/RPC.2017.8168071
32
294. Population density estimation
Liu, S., Lin, H., Wang, Y., Zhang, H., and Guo, J. Design of intensive population detection and
multi-exit evacuation algorithm based on open environment. In
International Conference on
Intelligent Human-Machine Systems and Cybernetics
, pages 21–24. Hangzhou, China, August
2017. URL
http://dx.doi.org/10.1109/IHMSC.2017.120
295. 3D pose estimation
Luo, Z., Zhang, K., Wang, Z., Zheng, J., and Chen, Y. 3D pose estimation of large and compli-
cated workpieces based on binocular stereo vision.
Applied Optics
,
56
(24):1–15, August 2017.
URL
http://dx.doi.org/10.1364/AO.56.006822
296. Fall detection
Liu, H., Liu, D., sun, X., Wu, F., and Zeng, W. On-line fall detection via a boosted cascade
of hybrid features. In
IEEE International Conference on Multimedia and Expo Workshops
(ICMEW)
, pages 249–254. Hong Kong, China, July 2017. URL
297. Video compression
Zheng, J., Sun, T., Jiang, X., and He, P. Double H.264 compression detection scheme based on
prediction residual of background regions. In
Intelligent Computing Theories and Application
,
volume 10361 of
Lecture Notes in Computer Science
, pages 471–482. Springer, 2017. URL
http://dx.doi.org/10.1007/978-3-319-63309-1_43
298. Anomaly detection based on the pedestrian behavior
Shen, M., Jiang, X., and Sun, T. Anomaly detection by analyzing the pedestrian behavior
and the dynamic changes of behavior. In
Intelligent Computing Theories and Application
,
volume 10361 of
Lecture Notes in Computer Science
, pages 211–222. Springer, 2017. URL
http://dx.doi.org/10.1007/978-3-319-63309-1_20
299. Video synopsis
Hui, K., Cheng, K., and Zhang, Y. The video synopsis based on the enhanced ViBe algorithm.
Journal of Shandong University (Engineering Science)
,
47
(3):43–48, June 2017. URL
//dx.doi.org/10.6040/j.issn.1672-3961.0.2016.306
300. Fish detection
Shevchenko, V.
Fish detection for species recognition
. Master’s thesis, Lappeenranta University
of Technology, 2017
301. Human interaction recognition
Ji, X., Wang, C., and Ju, Z. A new framework of human interaction recognition based on
multiple stage probability fusion.
Applied Sciences
,
7
(6):1–16, June 2017. URL
302. Real-time vehicle tracking
Jin, Y. and Eriksson, J. Fully automatic, real-time vehicle tracking for surveillance video. In
Conference on Computer and Robot Vision (CRV)
, pages 147–154. Edmonton, Alberta, May
2017. URL
http://dx.doi.org/10.1109/CRV.2017.43
303. Camera self-calibration
Fuhr, G. and Jung, C. Camera self-calibration based on non-linear optimization and applications
33
in surveillance systems.
IEEE Transactions on Circuits and Systems for Video Technology
,
27
(5):1132–1142, May 2017. URL
http://dx.doi.org/10.1109/TCSVT.2015.2511812
304. Fast pedestrian detection
Shu, G., Ouyang, Y., and Su, B. Fast pedestrian detection method for real-time analysis of
surveillance video.
Application Research of Computers
,
34
(4):1257–1260, April 2017. URL
http://dx.doi.org/10.3969/j.issn.1001-3695.2017.04.068
305. Human Detection for outdoor video surveillance
Chen, H.K., Zhao, X.G., Sun, S.Y., and Tan, M. PLS-CCA Heterogeneous features fusion-based
low-resolution human detection method for outdoor video surveillance.
International Journal
of Automation and Computing
,
14
(2):136–146, April 2017. URL
306. Traffic analysis
d. Min, W., g. Guo, X., and Han, Q. An improved ViBe algorithm and its application in traffic
video processing.
Optics and Precision Engineering
,
25
(3):806–811, March 2017. URL
//dx.doi.org/10.3788/OPE.20172503.0806
307. Cloud-based moving object detection
anjd X. Pie, R.L., Wang, P., and Jin, C. Cloud-based moving object detection for mobile devices.
In
Conference on Innovations in Clouds, Internet and Networks (ICIN)
, pages 100–102. Paris,
France, March 2017. URL
http://dx.doi.org/10.1109/ICIN.2017.7899396
308. Human action recognition
Xu, K., Jiang, X., and Sun, T. Two-stream dictionary learning architecture for action recogni-
tion.
IEEE Transactions on Circuits and Systems for Video Technology
,
27
(3):567–576, March
2017. URL
http://dx.doi.org/10.1109/TCSVT.2017.2665359
309. Detection of vehicles in tunnels
Qiming, Z. and ChengQian, M. A vehicle detection method in tunnel video based on ViBe
algorithm. In
IEEE Advanced Information Technology, Electronic and Automation Control
Conference (IAEAC)
, pages 1545–1548. Chongqing, China, March 2017. URL
doi.org/10.1109/IAEAC.2017.8054272
310. Analysis of satellite videos
Xu, A., Wu, J., Zhang, G., Pan, S., Wang, T., Jang, Y., and Shen, X. Motion detection in satellite
video.
Journal of Remote Sensing & GIS
,
6
(2):1–9, March 2017. URL
311. Detection of vehicles
Pan, C., Zhu, Z., Jiang, L., Wang, M., and Lu, X. Adaptive ViBe background model for vehicle
detection. In
IEEE Advanced Information Technology, Electronic and Automation Control Con-
ference (IAEAC)
, pages 1301–1305. Institute of Electrical and Electronics Engineers (IEEE),
Chongqing, China, 2017. URL
http://dx.doi.org/10.1109/IAEAC.2017.8054224
312. Video surveillance synopsis
He, Y., Gao, C., Sang, N., Qu, Z., and Han, J. Graph coloring based surveillance video syn-
opsis.
Neurocomputing
,
225
:64–79, February 2017. URL
34
313. Intelligent monitoring
Xia, J., Liu, Z., and Han, G. System of intelligent monitoring and motion detection based on the
Linux platform.
Electronic Measurement Technology
,
40
(3):173–176,191, 2017. URL
caod.oriprobe.com/articles/50921032/System_of_intelligentmonitoring_and_motion_
detection_basedonthe_Linux_.htm
314. Detection of anomalous events
Xu, D., Yan, Y., Ricci, E., and Sebe, N. Detecting anomalous events in videos by learning
deep representations of appearance and motion.
Computer Vision and Image Understanding
,
156
:117–127, March 2017. URL
http://dx.doi.org/10.1016/j.cviu.2016.10.010
315. Generation of video tubes (synopsis)
He, Y., Qu, Z., Gao, C., and Sang, N. Fast online video synopsis based on potential collision
graph.
IEEE Signal Processing Letters
,
24
(1):22–26, January 2017. URL
316. Detection of fishes
Tian, C. and Huang, Z. A real-time trajectory tracking algorithm of fishes.
Information &
Communications
,
1
:47–50, January 2017. URL
http://caod.oriprobe.com/articles/
50585400/A_Real_time_Trajectory_Tracking_Algorithm_of_Fish.htm
317. Remote real-time surveillance security system for intruder detection (ARM implementation)
Landa, J., Jun, C., and Jun, M. Implementation of a remote real-time surveillance security sys-
tem for intruder detection. In
International Conference on Measuring Technology and Mecha-
tronics Automation (ICMTMA)
, pages 102–105. IEEE, Changsha, China, January 2017. URL
http://dx.doi.org/10.1109/ICMTMA.2017.0032
318. Videosurveillance
Liu, S., Wang, G., Li, J., Li, X., and Fang, M. Embedded video abstraction and design of in-
telligent video surveillance system.
Journal of Changchun University of Science and Technol-
ogy
,
40
(1):119–122,126, 2017. URL
http://caod.oriprobe.com/articles/50791956/
Embedded_Video_Abstraction_and_Design_of_Intelligent_Video_Surveillanc.htm
319. Video-based traffic monitoring
Del Carmen, D. and Cajote, R. Moving shadow detection and removal for video-based traffic
monitoring. In
Asia-Pacific Signal and Information Processing Association Annual Summit and
Conference (APSIPA)
, pages 1–7. Jeju, Korea, December 2016. URL
320. Detection of abandoned objects
Ma, H., Zhao, T., Li, J., and Qian, W. Abandoned object detection based on tachograph videos.
In
Internationl Computer Symposium (ICS)
, pages 279–284. Chiayi, Taiwan, December 2016.
URL
http://dx.doi.org/10.1109/ICS.2016.0063
321. Fast detection of micro-organisms
Zhou, F., Lu, Z., Liu, J., Xia, Y., and Wei, X. Low-cost prioritization of microorganism image
data in wireless visual sensor network. In
Internationl Computer Symposium (ICS)
, pages 685–
689. Chiayi, Taiwan, December 2016. URL
http://dx.doi.org/10.1109/ICS.2016.0141
35
322. Target handover for non-overlapping cameras
Huang, X., h. Huang, B., and m. Xiong, X. Target handover based on improved ORB algorithm
on non-overlapping cameras.
Chinese Journal of Liquid Crystals and Displays
,
8
:810–817,
2016. URL
http://dx.doi.org/10.3788/YJYXS20163108.0810
323. Real time multi-object tracking
Benamara, A., Miguet, S., and Scuturici, M. Real-time multi-object tracking with occlusion and
stationary objects handling for conveying systems. In
International Symposium on Visual Com-
puting (ISVC)
, volume 10072 of
Lecture Notes in Computer Science
, pages 136–145. Springer,
December 2016. URL
http://dx.doi.org/10.1007/978-3-319-50835-1_13
324. Gesture segmentation and recognition
Wang, X. A study on gesture segmentation technology and recognition.
International Journal
of Simulation
,
17
(45):1–6, 2016
325. Detection and Tracking of Vehicles
Wang, M., Jiang, L., Lu, W., and Ma, Q. Detection and tracking of vehicles based on video and
2D radar information. In
IEEE International Conference on Intelligent Transportation Systems
(ITSC)
, volume 53 of
Smart Innovation, Systems and Technologies
, pages 205–214. Springer
Singapore, December 2016. URL
http://dx.doi.org/10.1007/978-981-10-2398-9_19
326. Traffic flow detection
Gan, L. and Li, R. Multilane traffic flow detection based on adaptive virtual loop algorithm.
Journal of Computer Applications
,
36
(12):3511–3514, 2016. URL
11772/j.issn.1001-9081.2016.12.3511
327. Defogging
Guo, J.M., Syue, J.y., Radzicki, V.R., and Lee, H. Fusion-based and flicker free defogging.
In
International Telemetering Conference
, volume 52, pages 1–10. Glendale, Arizona, USA,
November 2016. URL
http://hdl.handle.net/10150/624187
328. Traffic flow analysis at crossroads
Datondji, S.R.E., Dupuis, Y., Subirats, P., and Vasseur, P. Rotation and translation estimation
for a wide baseline fisheye-stereo at crossroads based on traffic flow analysis. In
IEEE Inter-
national Conference on Intelligent Transportation Systems (ITSC)
, pages 1534–1539. Institute
of Electrical and Electronics Engineers (IEEE), Rio de Janeiro, Brazil, November 2016. URL
http://dx.doi.org/10.1109/ITSC.2016.7795761
329. Segmentation of encrypted video streams
Jin, X., Wu, Y., Li, X., Li, Y., Zhao, G., and Guo, K. PPViBe: Privacy preserving background
extractor via secret sharing in multiple cloud servers. In
International Conference on Com-
munications and Signal Processing (ICCSP)
, pages 1–5. Institute of Electrical and Electronics
Engineers (IEEE), Yangzhou, China, October 2016. URL
330. Vehicle detection
Liu, J., Chen, Q., and Zhang, C. Vehicle recognition using VIBE and SVM.
Computer Science
& Engineering: An International Journal (CSEIJ)
,
6
(4):21–29, August 2016. URL
dx.doi.org/10.5121/cseij.2016.6402
36
331. Anomalous behavior detection in crowded scenes
Yang, M., Rajasegarar, S., Rao, A., Leckie, C., and Palaniswami, M. Anomalous behavior
detection in crowded scenes using clustering and spatio-temporal features. In
International
Conference on Intelligent Information Processing
, volume 486 of
IFIP Advances in Information
and Communication Technology (IFIPAICT)
, pages 132–141. Springer, 2016. URL
dx.doi.org/10.1007/978-3-319-48390-0_14
332. Fall detection
Wang, X., Liu, H., and Liu, M. A novel multi-cue integration system for efficient human fall
detection. In
IEEE International Conference on Robotics and Biomimetics (ROBIO)
, pages
1319–1324. IEEE, Qingdao, China, December 2016. URL
333. Fall detection
Wang, K., Cao, G., Meng, D., Chen, W., and Cao, W. Automatic fall detection of human
in video using combination of features. In
IEEE International Conference on Bioinformatics
and Biomedicine (BIBM)
, pages 1228–1233. IEEE, Shenzhen, China, December 2016. URL
http://dx.doi.org/10.1109/BIBM.2016.7822694
334. Detection of forest fires
Cai, M., Lu, X., Mu, X., and Feng, Y. Intelligent video analysis-based forest fires smoke de-
tection algorithms. In
International Conference on Natural Computation, Fuzzy Systems and
Knowledge Discovery (ICNC-FSKD)
, pages 1504–1508. Changsha, China, August 2016. URL
http://dx.doi.org/10.1109/FSKD.2016.7603399
335. Ergonomics
Seo, J.
Evaluation of construction workers’ physical demands through computer vision-based
kinematic data collection and analysis
. Ph.D. thesis, University of Michigan, 2016
336. Fall detection
Wang, S., Chen, L., Zhou, Z., Sun, X., and Dong, J. Human fall detection in surveillance video
based on PCANet.
Multimedia Tools and Applications
,
75
(19):11603–11613, October 2016.
URL
http://dx.doi.org/10.1007/s11042-015-2698-y
337. Human pose estimation
Chang, H.C.
A Human Pose Estimated Method Based on a Deep Convolutional Neural Network
.
Master’s thesis, National Taiwan University of Science and Technology, 2016. URL
pc01.lib.ntust.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0810116-103256
338. Detection of bats and birds
Scholz, N., Moll, J., Mälzer, M., Nagovitsyn, K., and Krozer, V. Random bounce algorithm:
real-time image processing for the detection of bats and birds.
Signal, Image and Video Process-
ing
,
10
(8):1449–1456, August 2016. URL
http://dx.doi.org/10.1007/s11760-016-0951-0
339. Hardware for the detection of targets
Qi, Y. Video target detection based on the S3C6410 processor.
Computer and Digital Engineer-
ing
,
7
:1338–1342, July 2016. URL
http://caod.oriprobe.com/articles/49067197/
Video_Target_Detection_Based_on_S3C6410_Processor.htm
37
340. Detection of vehicles
Zhang, Y., Zhao, C., Chen, A., and Qi, X. Vehicle detection in urban traffic scenes using the
pixel-based adaptive segmenter with confidence measurement.
Journal of Intelligent & Fuzzy
Systems
,
31
(3):1609–1620, July 2016. URL
http://dx.doi.org/10.3233/JIFS-151674
341. Tracking of objects in celestial images
Lei, Z., Wang, M., Lei, T., and Deren, L. Tracking moving weak objects in celestial image
sequences.
IEEE Transactions on Aerospace and Electronic Systems
,
52
(3):1257–1266, June
2016. URL
http://dx.doi.org/10.1109/TAES.2015.150110
342. Gait detection
Shi, D., Li, X., and Shi, X. Gait detection based on ViBe background subtraction.
Journal of
Changchun University of Technology (Natural Science Edition)
,
37
(37):241–245, 2016. URL
http://dx.doi.org/10.15923/j.cnki.cn22-1382/t.2016.3.07
343. Detection of pedestrians
c. Qiu, C., Wang, T., s. Cheng, H., and Cao, M. Pedestrian detection based on an improved ViBe
algorithm.
Information Technology
,
3
:6–9,14, 2016. URL
344. Detection of multiple pedestrians
h. Pak, C., l. Pan, Y., Zhao, H., and b. Zhu, H. Multi-pedestrian detection approach based on
improved ViBe algorithm.
Journal of Northeastern University (Natural Science)
,
37
(4):481–
485, April 2016. URL
http://dx.doi.org/10.3969/j.issn.1005-3026.2016.04.006
345. Prediction of human orientation in visual surveillance
Ramand, R., Sa, P., and Majhi, B. Direction prediction for avoiding occlusion in visual surveil-
lance.
Innovations in Systems and Software Engineering
,
12
(3):201–214, September 2016.
URL
http://dx.doi.org/10.1007/s11334-016-0278-6
346. Intelligent video monitoring system
Fang, H., Li, A., and Wang, T. Design and realization of a DM6437-based intelligent video
monitoring system.
Computer Applications and Software
,
33
(2):192–196, February 2016. URL
http://dx.doi.org/10.3969/j.issn.1000-386x.2016.02.046
347. Tracking users at road intersections
Jodoin, J.P., Bilodeau, G.A., and Saunier, N. Tracking all road users at multimodal urban traffic
intersections.
IEEE Transactions on Intelligent Transportation Systems
,
17
(11):3241–3251,
November 2016. URL
http://dx.doi.org/10.1109/TITS.2016.2545245
348. Shot scale distribution in art films
Benini, S., Svanera, M., Adami, N., Leonardi, R., and Kovács, A.B. Shot scale distribution
in art films.
Multimedia Tools and Applications
,
75
(23):16499–16527, February 2016. URL
http://dx.doi.org/10.1007/s11042-016-3339-9
349. Real-time vehicle detection
Zhuang, X., Kang, W., and Wu, Q. Real-time vehicle detection with foreground-based cascade
classifier.
IET Image Processing
,
10
(4):289–296, April 2016. URL
38
350. Analysis of crowd behaviors
Wang, X., He, X., Wu, X., Xie, C., and Li, Y. A classification method based on streak flow
for abnormal crowd behaviors.
Optik – International Journal for Light and Electron Optics
,
127
(4):2386–2392, February 2016. URL
http://dx.doi.org/10.1016/j.ijleo.2015.
351. Optical inspection of IC solder joints
Cai, N., Lin, J., qnd H. Wang, Q.Y., Weng, S., and Ling, B. A new IC solder joint inspec-
tion method for an automatic optical inspection system based on an improved visual back-
ground extraction algorithm.
IEEE Transactions on Components, Packaging and Manufactur-
ing Technology
,
6
(1):161–172, January 2016. URL
http://dx.doi.org/10.1109/TCPMT.
352. People counting
Luo, J., Wang, J., Xu, H., and Lu, H. Real-time people counting for indoor scenes.
Signal
Processing
,
124
:27–35, July 2016. URL
http://dx.doi.org/10.1016/j.sigpro.2015.
353. Tracking of multiple objects
Tian, S., Yuan, F., and Xia, G.S. Multi-object tracking with inter-feedback between detection
and tracking.
Neurocomputing
,
171
:768–780, January 2016. URL
354. Vehicle detection
Zhang, Y., Zhao, C., He, J., and Chen, A. Vehicles detection in complex urban traffic scenes
using a nonparametric approach with confidence measurement. In
International Conference
and Workshop on Computing and Communication (IEMCON)
, pages 1–7. Vancouver, Canada,
December 2015. URL
http://dx.doi.org/10.1109/IEMCON.2015.7344486
355. Crowd counting
Xu, M., Zhang, E., and Chen, Y. Fusion methods of pixels and texture feature for crowd count-
ing.
Journal of Xian University of Technology
,
31
(3):340–346, 2015. URL
356. Human joint location and gait analysis
Meng, M., Yan, F., and Luo, Z. Human joint location and gait analysis based on depth image.
Journal of Huazhong University of Science and Technology (Nature Science Edition)
,
z1
, 2015.
URL
http://dx.doi.org/10.13245/j.hust.15S1085
357. Pedestrian display in virtual reality
Hu, Y., Wu, W., and Zhou, Z. Video driven pedestrian visualization with characteristic appear-
ances. In
ACM Symposium on Virtual Reality Software and Technology (VRST)
, pages 183–186.
Beijing, China, November 2015. URL
http://dx.doi.org/10.1145/2821592.2821614
358. Target localization of wireless visual sensor networks
Li, W., Portilla, J., Moreno, F., Liang, G., and Riesgo, T. Multiple feature points representation
in target localization of wireless visual sensor networks.
Journal of Network and Computer
Applications
,
57
:119–128, November 2015. URL
http://dx.doi.org/10.1016/j.jnca.
39
359. Multiple-target tracking
Zhou, C., Dong, Q., Ma, W., Long, G., and Li, T.
PE-TLD: Parallel Extended Tracking-
Learning-Detection for multi-target tracking. In
Algorithms and Architectures for Parallel Pro-
cessing
, volume 9529 of
Lecture Notes in Computer Science
, pages 665–677. Springer, 2015.
URL
http://dx.doi.org/10.1007/978-3-319-27122-4_46
360. Detection of avian nesting events
Goehner, K., Desell, T., Eckroad, R., Mohsenian, L., Burr, P., Caswell, N., Andes, A., and
Ellis-Felege, S. A comparison of background subtraction algorithms for detecting avian nesting
events in uncontrolled outdoor video. In
IEEE International Conference on eScience (eScience)
,
pages 187–195. IEEE, Munich, Germany, August 2015. URL
361. Fast detection of vehicles
Gao, J. and Pan, J. Fast video vehicle detection algorithm based on ViBe.
Industrial Control
Computer
,
4
:118–119,122, 2015
362. Human action recognition
Maheswari, S. and Arockia Jansi Rani, P. Human action recognition system based on silhouette.
International Journal of Computer, Electrical, Automation, Control and Information Engineer-
ing
,
9
(11):2275–2279, 2015. URL
http://waset.org/publications/10004913
363. Laser tracking in bio-medical imaging
Ahmed, D., Atia, A., Rashed, E., and Mostafa, M.S. Laser pointer interaction for 3D angiog-
raphy operation.
IOSR Journal of Computer Engineering
,
17
(5):18–25, 2015. URL
www.iosrjournals.org/iosr-jce/papers/Vol17-issue5/Version-1/D017511825.pdf
364. Large scale monitoring of crowds and building utilization
Denman, S., Fookes, C., Ryan, D., and Sridharan, S. Large scale monitoring of crowds and
building utilisation: A new database and distributed approach. In
IEEE International Confer-
ence on Advanced Video and Signal Based Surveillance (AVSS)
, pages 1–6. Karlsruhe, Ger-
many, August 2015. URL
http://dx.doi.org/10.1109/AVSS.2015.7301796
365. Video analytic applications
Zhao, X., Ma, H., Zhang, H., Tang, Y., and Kou, Y. HVPI: Extending hadoop to support video
analytic applications. In
IEEE International Conference on Cloud Computing (CLOUD)
, pages
789–796. IEEE, New York City, New York, USA, June 2015. URL
366. Detection of vehicle orientation
Walker, C. and Walker, G. Systems and methods for controlling vehicle position and orientation,
2015. US patent US20150378361A1
367. Video surveillance for embedded systems
Wang, M., Chen, H., and Liu, X. Design of smart video sensor based on Cortex-A8.
Com-
puter Applications and Software
,
4
:137–140, 2015.
URL
articles/44258217/DESIGN_OF_SMART_VIDEO_SENSOR_BASED_ON_CORTEX_A8.htm
368. Building a clutter map for X-band marine radar
Zhou, Y., Liu, X., Suo, J., Liu, C., Su, X., and Liu, L. Nonparametric background model based
40
clutter map for X-band marine radar. In
IEEE International Conference on Image Processing
(ICIP)
, pages 123–127. Institute of Electrical and Electronics Engineers (IEEE), Quebec City,
QC, Canada, September 2015. URL
http://dx.doi.org/10.1109/icip.2015.7350772
369. Detection of moving ships
Wang, J., Liao, J., Chen, X., Li, B., and Chen, Q. A parameter detection algorithm of moving
ship based on video sequence.
Journal of Nanjing University (Natural Sciences)
,
2
:227–233,
2015. URL
http://caod.oriprobe.com/articles/44168807/A_parameter_detection_
algorithm_of_moving_ship_based_on_video_sequence.htm
370. Noise suppression
Zhou, X., Zhao, F., and Zhu, Y. Noise-suppression method for flicker pixels in dynamic out-
door scenes based on ViBe.
Journal of Computer Applications
,
6
:1739–1743,1748, 2015.
URL
http://caod.oriprobe.com/articles/46228502/Noise_suppression_method_
371. Trajectory Descriptor for action recognition in videos
Shi, Y., Zeng, W., Huang, T., and Wang, Y. Learning deep trajectory descriptor for action recog-
nition in videos using deep neural networks. In
IEEE International Conference on Multimedia
and Expo (ICME)
, pages 1–6. IEEE, Turin, Italy, June 2015. URL
372. Person re-identification
Wei, L. and Shah, S. Subject centric group feature for person re-identification. In
IEEE In-
ternational Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
,
pages 28–35. Boston, Massachusetts, USA, June 2015. URL
373. Laser pointer tracking
Kang, S.H. and Yang, C.K. Laser-pointer human computer interaction system. In
IEEE Inter-
national Conference on Multimedia and Expo Workshops (ICMEW)
, pages 1–6. IEEE, Turin,
Italy, June 2015. URL
http://dx.doi.org/10.1109/ICMEW.2015.7169844
374. Detection of copy-move forgery in video sequences
Zhang, L.B., Sun, T.F., and Jiang, X.H. Moving targets copy-move forgery detection in video se-
quences.
Journal of Shanghai Jiaotong University
,
2
:196–201,208, 2015. URL
oriprobe.com/articles/44366301/Moving_Targets_Copy_Move_Forgery_Detection_
375. Crowd counting
Zhou, P., Ding, Q., Luo, H., and Hou, X. Video-based crowd counting with information entropy.
In
Chinese Control and Decision Conference (CCDC)
, pages 338–342. IEEE, Qingdao, China,
May 2015. URL
http://dx.doi.org/10.1109/CCDC.2015.7161714
376. Motion saliency detection
Wang, Z., Xiong, J., and Zhang, Q. Motion saliency detection based on temporal difference.
Journal of Electronic Imaging
,
24
(3), May 2015. URL
41
377. Detection of vehicles
Varghese, A. and Sreelekha, G. Background subtraction for vehicle detection. In
Global Confer-
ence on Communication Technologies (GCCT)
, pages 380–382. Thuckalay, Tamil Nadu, India,
April 2015. URL
http://dx.doi.org/10.1109/GCCT.2015.7342688
378. Fall detection of elderly people
Wang, Y.P., Zhang, Y.C., Yang, H.J., Zhao, C., and Han, Y. Elderly sudden disability detection
based on vision sensor.
Computer Systems & Applications
,
6
(24):158–162, June 2015. URL
http://www.c-s-a.org.cn/ch/reader/view_abstract.aspx?flag=1&file_no=20150629&
379. Foreground detection for a moving camera
Minematsu, T., Uchiyama, H., Shimada, A., Nagahara, H., and Taniguchi, R.i. Evaluation of
foreground detection methodology for a moving camera. In
Korea-Japan Joint Workshop on
Frontiers of Computer Vision (FCV)
, pages 1–4. Institute of Electrical and Electronics Engi-
neers (IEEE), Mokpo, South Korea, January 2015. URL
380. Detection of cracks
Talab, A., Huang, Z., Xi, F., and Haiming, L. Moving crack detection based on improved
VIBE and multiple filering in image processing techniques.
International Journal of Signal
Processing, Image Processing and Pattern Recognition
,
8
(2):275–286, 2015. URL
dx.doi.org/10.14257/ijsip.2015.8.2.27
381. Live video synopsis
Hoshen, Y. and Peleg, S. Live video synopsis for multiple cameras.
CoRR
,
abs/1505.05254
,
2015. URL
http://arxiv.org/abs/1505.05254
382. Activity Recognition in thermal videos
Hossen, J., Jacobs, E., and Chowdhury, F. Activity recognition in thermal infrared video. In
Proceedings of the IEEE SoutheastCon
, pages 1–2. Fort Lauderdale, Florida, USA, April 2015.
URL
http://dx.doi.org/10.1109/SECON.2015.7132922
383. Human motion analysis on depth images
Meng, M., Bo, Y., Aoyama, S., Yao, S., and Zhizeng, L. Human motion detection based on the
depth image of Kinect.
Chinese Journal of Scientific Instrument
,
36
(2):386–393, March 2015.
URL
http://caod.oriprobe.com/articles/44012986/Human_motion_detection_based_
384. Control of visitors on sites
Sun, L. Visitors monitoring on sites using image extraction and ViBe.
Computer CD Software
and Applications
,
1
, April 2015
385. Tracking
Hu, S., ahd X. Ma, S.S., Qin, Y., and Lei, B. A fast on-line boosting tracking algorithm based
on multi-feature cascade screening detection.
Computer Applications and Software
,
32
(2):236–
239, February 2015. URL
http://dx.doi.org/10.3969/j.issn.1000-386x.2015.02.
42
386. Anomaly localization for surveillance videos
Pathak, D., Sharang, A., and Mukerjee, A. Anomaly localization in topic-based analysis of
surveillance videos. In
IEEE Winter Conference on Applications of Computer Vision (WACV)
,
pages 389–395. Waikoloa, Hawaii, USA, January 2015. URL
387. Detection of aquatic debris/embedded system
Wang, Y., Wang, D., Lu, Q., Luo, D., and Fang, W. Aquatic debris detection using embedded
camera sensors.
Sensors
,
15
(2):3116–3137, January 2015. URL
388. Human action recognition
Tang, N.C., Lin, Y.Y., Hua, J.H., Wei, S.E., Weng, M.F., and Liao, H.Y.M. Robust action recog-
nition via borrowing information across video modalities.
IEEE Transactions on Image Pro-
cessing
,
24
(2):709–723, February 2015. URL
http://dx.doi.org/10.1109/tip.2014.
389. People counting
Tang, N., Lin, Y.Y., Weng, M.F., and Liao, H.Y. Cross-camera knowledge transfer for multiview
people counting.
IEEE Transactions on Image Processing
,
24
(1):80–93, January 2015. URL
http://dx.doi.org/10.1109/TIP.2014.2363445
390. Detection of blocking vehicles at crossways
Wang, Y.
Key Technology and implementation for image forensics of illegal vehicle blocking
at crossways
. Master’s thesis, School of Electronic, Information and Electrical Engineering,
January 2015
391. Fall detection
Lu, H., Yang, B., Zhao, R., Qu, P., and Zhang, W. Intelligent human fall detection for home
surveillance. In
IEEE International Conference on Scalable Computing and Communications
Workshop
, pages 672–676. Bali, Indonesia, December 2014. URL
392. Pedestrian detection
Ettehadieh, D.
Systematic Parameter Optimization and Application of Automated Tracking
Pedestrian-Dominant Situations
. Master’s thesis, Polytechnique Montréal, December 2014
393. Humanoid/robot vision
Sabbaghi, E., Bahrami, M., and Ghidary, S.S. Learning of gestures by imitation using a monoc-
ular vision system on a humanoid robot. In
RSI/ISM International Conference on Robotics
and Mechatronics (ICRoM)
, pages 588–594. Institute of Electrical and Electronics Engineers
(IEEE), Tehran, Iran, October 2014.
URL
http://dx.doi.org/10.1109/icrom.2014.
394. Continuous action recognition
Tiang, T. Machine learning for continuous human action recognition. CS2 29 Project Final
Report, Stanford University, December 2014
395. Object tracking using parallel computing
Rohit, R., Sachin, S., Prasanna, S., Vignesh, R., Shobha, G., and Hemavathy, R. Performance
43
comparison of object tracking methods on video frames using parallel computing. In
Inter-
national Conference on Circuits, Communication, Control and Computing (I4C)
, pages 357–
362. Bangalore, India, November 2014. URL
http://dx.doi.org/10.1109/CIMCA.2014.
396. License plate localization
Shami, F.C., Rafiee, S., Dehghan Bidokhti, F., and Eghbal, N. Automatic license plate localiza-
tion in traffic videos. In
International Congress on Technology, Communication and Knowledge
(ICTCK)
, pages 1–8. Institute of Electrical and Electronics Engineers (IEEE), Mashhad, Iran,
November 2014. URL
http://dx.doi.org/10.1109/ictck.2014.7033522
397. People counting
Li, B., Zhang, J., Zhang, Z., and Xu, Y. A people counting method based on head detection
and tracking. In
International Conference on Smart Computing (SMARTCOMP)
, pages 136–
141. Hong Kong, November 2014. URL
http://dx.doi.org/10.1109/SMARTCOMP.2014.
398. Pedestrian detection
Führ, G. and Jung, C.R. Combining patch matching and detection for robust pedestrian tracking
in monocular calibrated cameras.
Pattern Recognition Letters
,
39
:11–20, April 2014. URL
http://dx.doi.org/10.1016/j.patrec.2013.08.031
399. Flame detection
Xie, W. The research of flame detection in video based on multi-feature fusion.
Computer
Knowledge and Technology
,
10
(22):5303–5306, August 2014
400. Recognition of human body movements
q. Xu, J., p. Jiang, P., b. Zhu, H., and Zuo, W. An improved ViBe algorithm for moving object
detection.
Journal of North Eastern University, Natural Science
,
36
(9):1227–1231, September
2015. URL
http://dx.doi.org/10.3969/j.issn.1005-3026.2015.09.00
401. Fish monitoring
Boom, B., He, J., Palazzo, S., Huang, P., Beyan, C., Chou, H.M., Lin, F.P., Spampinato, C., and
Fisher, R. A research tool for long-term and continuous analysis of fish assemblage in coral-
reefs using underwater camera footage.
Ecological Informatics
,
23
:83–97, September 2014.
URL
http://dx.doi.org/10.1016/j.ecoinf.2013.10.006
402. Classification of vehicles
Ng, L.T., Suandi, S.A., and Teoh, S.S. Vehicle classification using visual background extrac-
tor and multi-class support vector machines. In
International Conference on Robotic, Vision,
Signal Processing, and Power Applications
, volume 291 of
Lecture Notes in Electrical Engi-
neering
, pages 221–227. Springer Singapore, 2014. URL
403. Detection of pedestrians
Pu, X. and Guo, Z. Pedestrian detection in video of outdoor condition. In
International Con-
ference on Security, Pattern Analysis, and Cybernetics (SPAC)
, pages 36–41. Wuhan, Hubei,
China, October 2014. URL
http://dx.doi.org/10.1109/SPAC.2014.6982653
44
404. Tracking
Rogez, M., Robinault, L., and Tougne, L. A 3D tracker for ground-moving objects. In
Advances
in Visual Computing
, volume 8888 of
Lecture Notes in Computer Science
, pages 695–705.
Springer, 2014. URL
http://dx.doi.org/10.1007/978-3-319-14364-4_67
405. Timestamp of video sequences
Ben-Artzi, G., Werman, M., and Peleg, S. Event matching from significantly different views
using motion barcodes.
CoRR
,
abs/1412.1455
, 2014. URL
406. Recognition of fish species
Blanc, K., Lingrand, D., and Precioso, F.
Fish species recognition from video using svm
classifier. In
LifeCLEF Conference
, pages 778–784. Sheffield, UK, September 2014. URL
407. Semi-autonomous vehicle guidance
Walker, C.
A Real-Time Vision System for a Semi-Autonomous Surface Vehicle
. Master’s thesis,
Arizona State University, August 2014
408. Sub-marine video analysis
Palazzo, S., Spampinato, C., and Giordano, D. Large scale data processing in ecology: A
case study on long-term underwater video monitoring. In
Euromicro International Conference
on Parallel, Distributed, and Network-Based Processing
, pages 312–316. IEEE, Turin, Italy,
February 2014. URL
http://dx.doi.org/10.1109/pdp.2014.80
409. Detection of vehicles
Zhang, M., Feng, Y.j., Li, K., and Lin, F. A fast detection algorithm for moving vehicle in traffic
scenes. In
Chinese Control Conference (CCC)
, pages 4727–4731. IEEE, Nanjing, China, July
2014. URL
http://dx.doi.org/10.1109/ChiCC.2014.6895737
410. People detection based on thermal cameras taken by a UAV
Portmann, J., Lynen, S., Chli, M., and Siegwart, R. People detection and tracking from aerial
thermal views. In
IEEE International Conference on Robotics and Automation (ICRA)
, pages
1794–1800. IEEE, Hong Kong, China, May 2014. URL
411. Multimodal biometric identification
Ouellet, S., Grondin, F., Leconte, F., and Michaud, F. Multimodal biometric identification sys-
tem for mobile robots combining human metrology to face recognition and speaker identifi-
cation. In
IEEE International Symposium on Robot and Human Interactive Communication
,
pages 323–328. Edinburgh, Scotland, August 2014. URL
412. Human action recognition
Tang, N., Lin, Y.Y., Hua, J.H., and Weng, M.F. Human action recognition using associated
depth and skeleton information. In
IEEE International Conference on Acoustics, Speech and
Signal Processing (ICASSP)
, pages 4608–4612. Florence, Italy, May 2014. URL
doi.org/10.1109/ICASSP.2014.6854475
45
413. Content-based image retrieval
Chattopadhyay, C. and Maurya, A.K. Multivariate time series modeling of geometric fea-
tures of spatio-temporal volumes for content based video retrieval.
International Journal of
Multimedia Information Retrieval
,
3
(1):15–28, 2014. URL
414. Detection of flying birds
Zhang, J., Xu, Q., Cao, X., Yan, P., and Li, X. Hierarchical incorporation of shape and shape
dynamics for flying bird detection.
Neurocomputing
,
131
:179–190, May 2014. URL
//dx.doi.org/10.1016/j.neucom.2013.10.026
415. Analysis of human movements
Liu, Y., Shu, C., and Fu, Z. Dynamic gesture localization and recognition algorithm based on
skeletonization.
Electronic Science and Technology
,
27
(3):7–11, March 2014
416. Contour extraction in video surveillance
y. Xia, H., h. Yan, Y., g. Huang, S., and j. Xiao, W. A reliable contour extraction method for
motion object in surveillance systems.
Journal of Guangxi Normal University (Natural Science
Edition)
,
32
(4):39–44, 2014. URL
http://dx.doi.org/10.16088/j.issn.1001-6600.
417. Road map robot planning
Manocha, S. Roadmap based robot motion planning. Technical Report SURGE Program 2014,
Project Report, Indian Institute of Technology, Kanpur, India, 2014. URL
iitk.ac.in/~smanocha/SiddhantManocha/Surge_Report.pdf
418. Conversion of a video stream to produce a 3D video stream
Wang, L. and Jung, C. Example-based video stereolization with foreground segmentation and
depth propagation.
IEEE Transactions on Multimedia
,
16
(7):1905–1914, November 2014. URL
http://dx.doi.org/10.1109/TMM.2014.2341599
419. Tracking of multiple objects in urban traffic
Jodoin, J.P., Bilodeau, G.A., and Saunier, N. Urban tracker: Multiple object tracking in urban
mixed traffic. In
IEEE Winter Conference on Applications of Computer Vision (WACV)
, pages
885–892. IEEE, Steamboat Springs, Colorado, USA, March 2014. URL
420. Detection of pedestrians
Liang, F., Tang, S., Zhang, Y., Xu, Z., and Li, J. Pedestrian detection based on sparse coding
and transfer learning.
Machine Vision and Applications
,
25
(7):1697–1709, October 2014. URL
http://dx.doi.org/10.1007/s00138-013-0549-2
421. Fast detection of fishes
Tan, J.S., Chang, T.K., Ooi, M.P.L., Kuang, Y.C., Tan, C.P., and Kitahashi, T. Fast and robust
zebrafish segmentation and detection algorithm under different spectrum conditions. In
IEEE
Sensors Applications Symposium (SAS)
, pages 189–194. Institute of Electrical and Electronics
Engineers (IEEE), Queenstown, New Zealand, February 2014. URL
46
422. Conception of visual prostheses
Wang, J., Lu, Y., Gu, L., Zhou, C., and Chai, X. Moving object recognition under simulated
prosthetic vision using background-subtraction-based image processing strategies.
Informa-
tion Sciences
,
277
:512–524, September 2014. URL
http://dx.doi.org/10.1016/j.ins.
423. Vehicle detection
Yang, Y., Sun, M., and Kim, Y. A vehicle detection method based on improved ViBe algorithm.
Journal of Chongqing University of Posts and Telecommunications
,
26
(3):397–403, June 2014.
URL
http://dx.doi.org/10.3979/j.issn.1673-825X.2014.03.021
424. Fire detection
Ligang, M., Yanjun, C., and Aizhong, W. Flame region detection using color and motion fea-
tures in video sequences. In
Chinese Control and Decision Conference (CCDC)
, pages 3005–
3009. IEEE, Changsha, China, May 2014. URL
http://dx.doi.org/10.1109/ccdc.2014.
425. Analysis of human motion
Tang, N., Hsu, C.T., Weng, M.F., Lin, T.Y., and Liao, H.Y. Example-based human motion
extrapolation and motion repairing using contour manifold.
IEEE Transactions on Multimedia
,
16
(1):47–59, January 2014. URL
http://dx.doi.org/10.1109/TMM.2013.2283844
426. Monitoring of fish populations
Spampinato, C., Beauxis-Aussalet, E., Palazzo, S., Beyan, C., van Ossenbruggen, J., He, J.,
Boom, B., and Huang, X. A rule-based event detection system for real-life underwater domain.
Machine Vision and Applications
,
25
(1):99–117, January 2014. URL
427. Video compression at low bit rate
Anand, P. and Kar, S. Modifying open source tools for video pre-processing to achieve ultra
low bandwidth for video surveillance over delay tolerant networks. In
Annual IEEE India
Conference (INDICON)
, pages 1–4. IEEE, Mumbai, India, December 2013. URL
doi.org/10.1109/INDCON.2013.6725935
428. Analysis of fast human movements
Singh, B., Singh, D., and Singh, G. Recognizing fast moving objects at normal human per-
ception rate. In
IEEE International Conference on Image Information Processing (ICIIP)
,
pages 119–124. IEEE, Shimla, India, December 2013. URL
429. Quick detection of visual events
Yuan, F., Tang, C., Tian, S., and Hao, H. A framework for quick and accurate access of in-
teresting visual events. In
Advances in Visual Computing
, volume 8034 of
Lecture Notes in
Computer Science
, pages 168–177. Springer, 2013. URL
430. Detection of aerial targets
Zheng, M., Wu, Z.R., Bakhdavlatov, S., Qu, J.S., Li, H.Y., and Yuan, J.J. Real-time aerial tar-
gets detection algorithm based background subtraction. In
Asia-Pacific Signal and Information
47
Processing Association Annual Summit and Conference
, pages 1–6. IEEE, Kaohsiung, Taiwan,
October 2013. URL
http://dx.doi.org/10.1109/apsipa.2013.6694203
431. Detection of humans in a cluttered environment
Tan, Y., Luo, X., and Xia, H. Real-time and reliable human detection in clutter scene. In
Pattern Recognition and Computer Vision
, volume 8919. Wuhan, China, October 2013. URL
http://dx.doi.org/10.1117/12.2031338
432. Dog detection
Prashanth, C. and Bhuvaneswari, P.T.V. Stray dog detection in wired camera network.
ICTACT
Journal on Image and Video Processing
,
4
(1):642–646, August 2013. URL
433. Tracking with a moving camera
Hwang, C.L. and Chang, K.C. Adaptive visual tracking via learning detector of specific land-
marks. In
IEEE International Conference on Computational Intelligence and Virtual Environ-
ments for Measurement Systems and Applications (CIVEMSA)
, pages 66–71. Milan, Italy, July
2013. URL
http://dx.doi.org/10.1109/CIVEMSA.2013.6617397
434. Security system
Varghese, L. and and, S.A. GUARDICON: A low cost novel energy efficient integrated security
system for temples and other places. In
International Conference on Microelectronics, Com-
munication and Renewable Energy (ICMiCR)
, pages 1–4. Kanjirapally, India, June 2013. URL
http://dx.doi.org/10.1109/AICERA-ICMiCR.2013.6576019
435. Person identification
Saghafi, M.A., Hussain, A., Badioze Zaman, H., and Md. Saad, M.H. Color-spatial person re-
identification by a voting matching scheme. In
Advances in Visual Informatics
, volume 8237 of
Lecture Notes in Computer Science
, pages 470–482. Springer International Publishing, 2013.
URL
http://dx.doi.org/10.1007/978-3-319-02958-0_43
436. Cross-camera vehicle matching
Hsu, C.H., Lin, C.Y., Kang, L.W., and Liao, H.Y. Cross-camera complementary vehicle match-
ing via feature expandsion for video forensics. In
International Symposium on Consumer Elec-
tronics (ISCE)
, pages 211–212. Hsinchu, China, June 2013. URL
437. Detection of pedestrians
Liang, F., Tang, S., Wang, Y., Han, Q., and Li, J. A sparse coding based transfer learning
framework for pedestrian detection. In
Advances in Multimedia Modeling
, volume 7733 of
Lecture Notes in Computer Science
, pages 272–282. Springer, 2013. URL
org/10.1007/978-3-642-35728-2_26
438. On-line tracking
Hu, S., Sun, S.F., Ma, X.B., Qin, Y.S., and Lei, B.J. A fast on-line boosting tracking algorithm
based on cascade filter of multi-features. In
International Conference on Multimedia Tech-
nology (ICMT)
, pages 1862–1869. Atlantis Press, Guangzhou, China, November 2013. URL
http://dx.doi.org/10.2991/icmt-13.2013.226
48
439. Video content analysis for classification
Chattopadhyay, C. and Maurya, A. Genre-specific modeling of visual features for efficient
content based video shot classification and retrieval.
International Journal of Multimedia In-
formation Retrieval
,
2
(4):289–297, November 2013. URL
440. Detection of key frames in video sequences
Huang, J., Cong, Y., Gao, H., Tang, Y., and Yu, H. Online semantic condense video in robotic
scene via dictional selection.
Chinese Science Bulletin
,
58
(S2):112–120, 2013. URL
//dx.doi.org/10.1360/972013-951
441. Pedestrian counting
Sun, C., Zou, Q., Fu, W., and Wang, J. Multiple hypotheses based spatial-temporal association
for stable pedestrian counting. In
Advances in Multimedia Information Processing
, volume
8294 of
Lecture Notes in Computer Science
, pages 803–810. Springer, 2013. URL
//dx.doi.org/10.1007/978-3-319-03731-8_75
442. Detection of pedestrians
Leng, B., He, Q., Xiao, H., Li, B., Wang, H., Hu, Y., Wu, W., Guan, G., Zou, H., and Liang,
L. An improved pedestrians detection algorithm using HOG and ViBe. In
IEEE International
Conference on Robotics and Biomimetics (ROBIO)
, pages 240–244. IEEE, Shenzhen, China,
December 2013. URL
http://dx.doi.org/10.1109/robio.2013.6739465
443. Obstacle detection for robot motion
˙Iyidir, ˙I.K., Tek, F.B., and Kırcalı, D. Adaptive visual obstacle detection for mobile robots
using monocular camera and ultrasonic sensor. In
European Conference on Computer Vision
(ECCV)
, volume 7584 of
Lecture Notes in Computer Science
, pages 526–535. Springer Berlin
Heidelberg, 2012. URL
http://dx.doi.org/10.1007/978-3-642-33868-7_52
444. Detection of pedestrians
Liang, F., Wang, D., Liu, Y., Jiang, Y., and Tang, S. Fast pedestrian detection based on sliding
window filtering. In
Advances in Multimedia Information Processing
, volume 7674 of
Lecture
Notes in Computer Science
, pages 811–822. Springer, 2012. URL
445. People counting
Weng, M.F., Lin, Y.Y., Tang, N.C., and Liao, H.Y.M. Visual knowledge transfer among multiple
cameras for people counting with occlusion handling. In
ACM International Conference on
Multimedia (MM)
, pages 439–448. ACM, Nara, Japan, October 2012. URL
446. People counting
Subburaman, V., Descamps, A., and Carincotte, C. Counting people in the crowd using a generic
head detector. In
IEEE International Workshop on Performance Evaluation of Tracking and
Surveillance (PETS)
, pages 470–475. Beijing, China, September 2012. URL
447. Event detection in underwater domain
Palazzo, S., Spampinato, C., and Beyan, C. Event detection in underwater domain by exploiting
fish trajectory clustering. In
ACM International workshop on Multimedia analysis for ecological
49
data (MAED)
, pages 31–36. ACM, Nara, Japan, 2012. URL
448. People counting in a dense crowd
Yogameena, B., Saravana Perumal, S., Packiyaraj, N., and Saravanan, P. Ma-Th algorithm for
people count in a dense crowd and their behaviour classification. In
International Conference
on Machine Vision and Image Processing (MVIP)
, pages 17–20. Coimbatore, India, December
2012. URL
http://dx.doi.org/10.1109/MVIP.2012.6428750
449. Traffic analysis
Jiang, J., Wang, T., Qi, M., and An, H. Statistical algorithm for traffic flow based on ViBe.
Jour-
nal of Electronic Measurement and Instrument
,
26
(6):558–563, 2012. URL
oriprobe.com/articles/30674664/Statistical_algorithm_for_traffic_flow_based_
450. Support for visual awareness in video surveillance
Höferlin, B., Höferlin, M., Raschke, M., Heidermann, G., and Weiskopf, D. Interactive auditory
display to support situational awareness in video surveillance. In
International Conference on
Auditory Display (ICAD)
. Budapest, Hungary, June 2011
451. Traffic management
Hetu, S.N. and Tan, G. Perennial simulation of a legacy traffic model: Implementation, con-
siderations, and ramifications. In
Proceedings of the Winter Simulation Conference (WSC)
,
pages 1519–1530. IEEE, Phoenix, AZ, USA, December 2011. URL
50