Object Tracking Using SIFT Features in a Particle Filter
This paper adds sift matching features into the particle filter tracking framework based on color histogram feature, and proposes a dual character tracking algorithm, in which the particle weights are calculated considering both the sift matching features and the color histogram feature. Experimental results show that the algorithm can effectively solve the problem of accumulating errors when inappropriately update the reference template in particle filter simply based on color histogram, especially in cases that the illumination changes or the color feature differences between the background and the target or the targets are relatively small, which enhances the robustness of the system.
Sift matching particle filter color histogram
Yue Yan Jingling Wang Chuanzhen Li Zhenxing Wu
Information Engineering School Communication University of China Beijing, China
国际会议
西安
英文
909-913
2011-05-27（万方平台首次上网日期，不代表论文的发表时间）