中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
a mean shift algorithm based on modified parzen window for small target tracking

文献类型:会议论文

作者Chen Jianjun ; An Guocheng ; Zhang Suofei ; Wu Zhenyang
出版日期2010
会议名称2010 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2010
会议日期March 14,
会议地点Dallas, TX, United states
关键词Algorithms Graphic methods Interpolation Signal processing Vector quantization Video recording
页码1166-1169
英文摘要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.
收录类别EI
会议主办者The Institute of Electrical and Electronics Engineers; Signal Processing Society
会议录ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
会议录出版地United States
语种英语
ISSN号15206149
ISBN号9781420000000
源URL[http://124.16.136.157/handle/311060/8606]  
专题软件研究所_软件所图书馆_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]. 见:2010 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2010. Dallas, TX, United states. March 14,.

入库方式: OAI收割

来源:软件研究所

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