Moving Target Tracking Based on CamShift Approach and Kalman Filter

The surveillance system has been developed for decades. It has reduced the crime andprotected the lives and properties of people successfully. Some surveillance systems are composed ofPTZ cameras. Therefore the moving people or target objects could be tracked by the surveillancesystem. The surveillance system becomes more and more interment. However, there are twoproblems occurred, target recognition and target shelter. In this paper, we proposed the method oftracking a moving object for improving the performance of intelligent surveillance system. Themethod combined CamShift and Kalman filter for tracking the moving object in a complexbackground or in an occlusion case. The proposed method is very efficient and that is easilyimplemented in a real-time system. Three major problems of surveillance system design, movingobject detecting, moving object tracking and tracking the object in occlusion, have been conquered inthe experimental results.