Pedestrian tracking across panning camera network

This paper describes developing of an occlusion robust tracking algorithm of pedestrians in the panning images by the combination between the S-T MRF model and pattern recognition methods of Snakes and HOG classifier. Tracking in panning images would extend the field of view of single camera. In addition, an algorithm to match pedestrians between cameras that have overlapping area with each other in their field of view is represented. Finally, the tracking algorithm in panning images and the pedestrian matching algorithm between the overlapping images are combined to extend the area of pedestrian surveillance.