When tracking multiple objects

prior models such as path consistency assumption model are generally established in order to handle occlusion problems.However

if the assumption is greatly distinguished from the real trajectories of the objects

the tracker is doomed to fail.To solve this problem

we put forward a definition of interactive particle filter which adaptively selects appearance template for a particle to measure its likelihood by judging the occluding relationship between each two samples of different objects.The experiments illustrate that our method accurately locates the object even if it is completely occluded as well as the trajectory is impossible to be predicted.