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a mean shift algorithm based on modified parzen window for small target tracking
Chen Jianjun; An Guocheng; Zhang Suofei; Wu Zhenyang
2010
会议名称2010 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2010
会议录名称ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
页码1166-1169
会议日期March 14,
会议地点Dallas, TX, United states
收录类别ei
出版地United States
ISSN15206149
ISBN9781420000000
部门归属(1) School of Information Science and Engineering, Southeast University, Nanjing, China; (2) Intelligence Engineering Lab, Institute of Software Chinese Academy of Sciences, Beijing, China
摘要This paper addresses the problem of small scale target tracking. The divided-by-zero problem in the weight computation of mean shift algorithm and its associated tracking interrupt problem are presented. To tackle these problems, the Parzen window density estimation method is modified to interpolate the histogram of the target candidate. Then the Kullback-Leibler distance is employed as a new similarity measure between the target model and the target candidate. Its corresponding weight computation and new location expressions are derived. On the basis of these works, we propose a new small target tracking algorithm using mean shift framework. The tracking experiments for real world video sequences show that the proposed algorithm can track the target successively and accurately. It can successfully track very small targets with only 6x12 pixels. ©2010 IEEE.
关键词Algorithms Graphic Methods Interpolation Signal Processing Vector Quantization Video Recording
主办者The Institute of Electrical and Electronics Engineers; Signal Processing Society
语种英语
内容类型会议论文
URI标识http://ir.iscas.ac.cn/handle/311060/8606
专题2010软件所会议论文
推荐引用方式
GB/T 7714
Chen Jianjun,An Guocheng,Zhang Suofei,et al. a mean shift algorithm based on modified parzen window for small target tracking[C]. United States,2010:1166-1169.
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