Occluded object tracking based on trajectory links in surveillance videos

Trajectories of foreground objects provide rich and continuous motion information for event analysis in surveillance videos. These trajectories can be obtained by tracking foreground objects frame by frame. When appearances of foreground objects significantly change during occlusions, tracking results may become incorrect. To solve the occlusion problem, we propose a real-time post processing method based on trajectory links. By analyzing trajectory links, our method can retrieve individual trajectories of occluded foreground objects. As shown in the experiments, our method can achieve better performance compared to previous tracking methods.