Target Tracking Under Occlusion by Combining Integral-Intensity-Matching with Multi-block-voting.

We propose a new method to solve the occlusion problem efficiently in rigid target tracking by combining integral-intensity-matching algorithm with multi-block-voting algorithm. If the target is occluded, means some blocks are occluded and tracked falsely. Then we don't let the occluded blocks participate in voting and integral-intensity-matching calculation, and use the remainder unoccluded blocks which can represent target' attribute to track the target unceasingly. Experimental results show that the adopted two algorithms are complementary, and effective combination can achieve reliable tracking performance under heavy occlusion. [ABSTRACT FROM AUTHOR]