Improved moving object detection and tracking method

Zhanli Li; Fang Yang; Hong-an Li

doi:10.1117/12.2242918

11 July 2016 Improved moving object detection and tracking method

Zhanli Li, Fang Yang, Hong-an Li

Proceedings Volume 10011, First International Workshop on Pattern Recognition; 1001106 (2016) https://doi.org/10.1117/12.2242918
Event: First International Workshop on Pattern Recognition, 2016, Tokyo, Japan

Abstract

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.

Citation Download Citation

Zhanli Li, Fang Yang, and Hong-an Li " Improved moving object detection and tracking method", Proc. SPIE 10011, First International Workshop on Pattern Recognition, 1001106 (11 July 2016); https://doi.org/10.1117/12.2242918

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