Tracking multiple objects in occlusions
遮挡情况下的多目标跟踪算法*

In the video surveillance system, moving target often appears partial occlusion or complete occlusion due to the complexity of the background. To track multiple objects under the condition of occlusion, specific to the tracking of moving targets using Mean Shift algorithm in occlusion, this paper presented a new method with occlusion for object tracking. At first, found the starting position of Mean Shift with Kalman filter in every frame, and then utilized Mean Shift to track the target position. Used the mechanism of occlusion judgment and object searching to solve occlusion. Experimental results show that the algorithm is robust to solve occlusion problem.