Multiple objects tracking based on two-stage nonlinear voting

This paper proposed a two-stage nonlinear voting-based tracking method.The method used object matching to get objects' position in different frames,and used feature monitoring to deal with object occlusion,object split and real-time update for objects features.Implementecl objects matching based on the similarity voting of their features in successive frames.Carried out experimental study using image sequences captured in real scene.The experimental results show that the method is robust against noise,shadows,occlusion and split,and it performs multiple objects tracking finely.