Entry edge of field of view for multi-camera tracking in distributed video surveillance

Efficient solution to people tracking in distributed video surveillance is requested to monitor crowded and large environments. This paper proposes a novel use of the entry edges of field of view (E/sup 2/oFoV) to solve the consistent labeling problem between partially overlapped views. An automatic and reliable procedure allows obtaining the homographic transformation between two overlapped views, without any manual calibration of the cameras. Through the homography, the consistent labeling is established each time a new track is detected in one of the cameras. A camera transition graph (CTG) is defined to speed up the establishment process by reducing the search space. Experimental results prove the effectiveness of the proposed solution also in challenging conditions.