Researches of Scale Adaptive Mean Shift Target Tracking Algorithm

被引：0

作者：

Tian, Cunwei ^{[1
]}

Ge, Guangying ^{[1
]}

Ye, Shuxiang ^{[2
]}

Bao, Xinzong ^{[3
]}

机构：

[1] Liaocheng Univ, Sch Phys Sci & Informat Engn, Liaocheng, Shandon Provinc, Peoples R China

[2] Second Commun Stn Chengdu Mil Reg, Chongqing, Peoples R China

[3] Chongqing Commun Inst, Chongqing, Peoples R China

来源：

2010 8TH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION (WCICA) | 2010年

关键词：

Target tracking; Mean Shift; Fuzzy Threshold Segmentation; Scale adaptation;

D O I：

10.1109/WCICA.2010.5554032

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Fuzzy Threshold Segmentation has been used for target tracking to improve deficiency that the bandwidth of kernel function of Mean Shift is not changeable. The weight of gradation transformation is ascertained by the contrast of similarity of RGB component between the target and background. According to certain rules, the bandwidth of kernel function is corrected with the statistic of target pixels. The scale adaptive of track window has been realized. Experiment results show the new algorithm can track objects accurately, effectively and real time. The new algorithm also overcomes the limitations of the traditional one.

引用

页码：700 / 703

页数：4