People tracking based on multi-regions joint particle filters

A people tracking algorithm based on multi-regions joint particle filters (MR-JPF) has been proposed in this paper to solve the occlusion problem of people tracking in video. Through locating multiple key regions on human body, the algorithm deals with the occlusion problem by constructing the joint particle filter, which is based on a joint motion model specified by an undirected graph, and on the regions0 relation based observe-and-estimate scheme. The experimental results have demonstrated that the proposed algorithm is more effective in solving long-time partial or total occlusion problem than the tracking method based on single region particle filter.