Feature correlation matching is a very important method for target tracking. Intensity and edge are two main kinds of target features. Under occlusion

the tracking feature should be chosen depending on the characteristics of the target. This paper estimates the intensity characteristic of target firstly

then choose the edge matching or intensity matching algorithm based on the narrow or wide intensity ranges of the target. The edge matching method determines the optimal displacement vector between two successive frames by matching of the target edge template and the current unoccluded edge

and the template is updated in real time. The intensity correlation matching based on multi-block method can estimate the occlusion region accurately through the blocks with distinct feature

and track the target by the remaining unoccluded blocks. Experimental results show the good performances of the proposed algorithm.