Mean-Shift Tracking Algorithm with Adaptive Kernel-Bandwidth of Target
The bandwidth of traditional Mean-Shift tracking algorithm can not be adapted to size change of target To overcome this problem, a new adaptive kernelbandwidth selection method based on the comparison of Bhattacharyya coefficients is proposed in this paper. In this method, the Bhattacharyya coefficient is calculated by using histograms of target image and target background image, and then, a new Bhattacharyya coefficient is calculated according to the candidate image histogram of the current frame and the target background image during the process of tracking. Judging the changing trend of the target by comparing the two former coefficients and the kernelbandwidth is expanded or shrunk by 10％ according to the judgment. Finally, the target area is specified after the calculation above. The simulation results show that the algorithm proposed in this paper verifies the effectiveness of tracking of the targets with changing scales.
Mean-Shift algorithm object tracking kernel-bandwidth Bhattacharyya coefficient
Lian Liu Weining Liu Chao Du
Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences Changchun 130 Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences Changchun 130 Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences Changchun 130
国际会议
重庆
英文
837-840
2011-08-20（万方平台首次上网日期，不代表论文的发表时间）