When a dynamic occlusion occurred between two or more objects, the accurate matching of several moving objects could be obtained by using cross search method in the forecast area of Kalman filter.

Experimental results show that the new algorithm has certain enhancement in the precision of occlusion detection and matching, and is more reliable and faster than conventional dynamic algorithms.

In processing the dynamic images, occlusion detection and tracking of moving targets in an image sequence are very significant and difficult problems.