int width;                           // width of the image
int height;                          // height of the image
byte image[width*height];            // current image
byte segmentationMap[width*height];  // classification result

int distanceThreshold = 20;          

byte sample[width*height];          // static background model

...
for (int p = 0; p < width*height; p++) { 
	if (getDistanceBetween(image[p], sample[p]) < distanceThreshold) 
		segmentationMap[p] = BACKGROUND_LABEL;
	else 
		segmentationMap[p] = FOREGROUND_LABEL;
	}