Research On Moving Target Detection And Tracking In The Video

The task of moving object detecting and tracking in the computer vision system is to detect the moving target in the in video sequence or image sequence and keep tracking. It provides basic elements and analysis foundation for the high-level understanding of videos.In this paper, the detecting of moving target was reseached and achieved using the methods of inter-frame difference and background difference. It also analyzed the advantages and disadvantages of various detection methods. The tracking of moving target was accomplished by the method using Kalman filter which combined the gate-tracking principle, and got a good result in the experiment from the collected video with a single target . An algorithm based on SIFT algorithm for moving target tracking is proposed in this paper. The algorithm sovled the problem in the tracking target when multiple moving objects appreared in one video. The result showed that tracking one target in the video scene where multiple moving targets appeared was achieved.