A Robust Tracking Method Based on Particle Filter via Multi-Cues
In view of the issues of multi-cues selection and fusion in the object tracking, a multi-cues fusion tracking method based on the particle filter is proposed in this paper. This method utilizes the combination between the grey histogram and the SVD (Singular Value Decomposition) invariance as the criteria of the similarity of each particle to enhance the stability. A feedback mechanism is also established according to the -contribution each cue to the final result so that the parameters can be adaptively modified in the process of multi-cues fusion, which helps to guarantee the reliability. Experimental results show the proposed method is superior to the method using particle filter based on the common multi-cues fusion.
Object tracking Particle filter Multi-cues fusion grey histogram SVD (Singular Value Decomposition) invariance
Jia Li Yu Lu
Chongqing Technology and Business Institute Chongqing 400052, China The Second Research Institute of Civil Aviation Administration of China Chengdu 610041, China
国际会议
重庆
英文
1625-1629
2011-08-20（万方平台首次上网日期，不代表论文的发表时间）