Improved moving object detection and tracking method
Zhanli Li, Fang Ou Yang, Hong-an Li · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2016
At present, the detection and tracking for video moving object have been used in many fields. Aimed at the limitation of the traditional adjacent frame difference method, this paper presented the three-frame difference method to detect objects. For moving object tracking, this paper proposed a method combining Kalman filter and Mean-Shift, and used the prediction function of Kalman filter to overcome the defect of Mean-Shift in selecting the initial position of the candidate object. Experimental results showed that the detection and tracking method proposed in this paper are simple, precise, and perform a good result.