A Robust Cam Shift tracking Algorithm Based on Multi-cues Fusion

摘要：

A novel robust tracking algorithm based on multi-cues fusion under Cam Shift framework is proposed in this paper.The color and edge cues are applied to describe the object and an adjustable feature update model is incorporated into Cam Shift tracking process.The weights of the color and edges are tuned adaptively according to the probabilistic model in the tracking process,which enhances the tracking robustness.The experiment results show that the proposed algorithm could track the object robustly and accurately.

关键词： Multi-cues fusion Cam Shift probabilistic model

作者: Xiao ming Dong Kui Yuan

作者单位: Department of Hi-tech Innovation Center Institute of Automation,Chinese Academy of Sciences ZhongGuanCun east road 95,Beijing,China

会议类型: 国际会议

会议名称: The 2nd IEEE International Conference on Advanced Computer Control(第二届先进计算机控制国际会议 ICACC 2010)

会议地点: 沈阳

会议语种:英文

页码: 521-524

在线出版日期: 2010-03-27（万方平台首次上网日期，不代表论文的发表时间）