Journal of Systems Engineering and Electronics ›› 2012, Vol. 34 ›› Issue (1): 199-203.doi: 10.3969/j.issn.1001-506X.2012.01.36
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SONG Dan, ZHAO Baojun, TANG Linbo
Online:
Published:
Abstract:
A novel target tracking algorithm fused with the corner feature and the color feature is proposed to solve the poor stability and the antiblocking capability of the Mean-Shift algorithm. The invariance of Harris corner is used to solve the weak robustness of the Mean-Shift algorithm, and the kernel probability density estimation of the Mean-Shift algorithm is used to improve the ability of distinguishing target corners from background corners. Using a group of videos to test the proposed algorithm, the results show that the tracking stability and the anti-blocking capability of this algorithm are better than that of the Mean-Shift algorithm with single corner feature or color feature.
SONG Dan, ZHAO Baojun, TANG Linbo. Mean-Shift algorithm fused with corner feature and color feature for target tracking[J]. Journal of Systems Engineering and Electronics, 2012, 34(1): 199-203.
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URL: https://www.sys-ele.com/EN/10.3969/j.issn.1001-506X.2012.01.36
https://www.sys-ele.com/EN/Y2012/V34/I1/199