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Proceedings Paper

Improved moving object detection and tracking method
Author(s): Zhanli Li; Fang Yang; Hong-an Li
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Paper 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.

Paper Details

Date Published: 11 July 2016
PDF: 8 pages
Proc. SPIE 10011, First International Workshop on Pattern Recognition, 1001106 (11 July 2016); doi: 10.1117/12.2242918
Show Author Affiliations
Zhanli Li, Xi'an Univ. of Science and Technology (China)
Fang Yang, Xi'an Univ. of Science and Technology (China)
Hong-an Li, Xi'an Univ. of Science and Technology (China)

Published in SPIE Proceedings Vol. 10011:
First International Workshop on Pattern Recognition
Xudong Jiang; Guojian Chen; Genci Capi; Chiharu Ishll, Editor(s)

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