Mean-Shift algorithm fused with corner feature and color feature for target tracking

Dan Song*, Bao Jun Zhao, Lin Bo Tang

*此作品的通讯作者

科研成果: 期刊稿件文章同行评审

7 引用 (Scopus)

摘要

A novel target tracking algorithm fused with the corner feature and the color feature is proposed to solve the poor stability and the anti-blocking 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.

源语言英语
页(从-至)199-203
页数5
期刊Xi Tong Gong Cheng Yu Dian Zi Ji Shu/Systems Engineering and Electronics
34
1
DOI
出版状态已出版 - 1月 2012

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