Study on Vision Target Tracking Method under Occlusion

A method is proposed to solve target tracking problem of the moving object under occlusion efficiently in rigid target tracking by combining integral-correlation-matching algorithm with multi-block-voting algorithm.If the target is occluded,it means that some blocks are occluded and matching falsely.The occluded blocks are not to participate in voting and integral-correlation-matching calculation,and only the remainder unoccluded blocks that can represent the target attribute are used to track the target unceasingly.Experimental results show that the adopted two algorithms are complementary,and effective combination of the two algorithms can achieve reliable vision tracking performance under the case of heavy occlusion of the moving objects.