ISCAS OpenIR  > 2010软件所会议论文
a mean shift algorithm based on modified parzen window for small target tracking
Chen Jianjun; An Guocheng; Zhang Suofei; Wu Zhenyang
2010
Conference Name2010 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2010
SourceICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
Pages1166-1169
Conference DateMarch 14,
Conference PlaceDallas, TX, United states
Indexed Typeei
Publish PlaceUnited States
ISSN15206149
ISBN9781420000000
Department(1) School of Information Science and Engineering, Southeast University, Nanjing, China; (2) Intelligence Engineering Lab, Institute of Software Chinese Academy of Sciences, Beijing, China
English AbstractThis 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.
KeywordAlgorithms Graphic Methods Interpolation Signal Processing Vector Quantization Video Recording
SponsorshipThe Institute of Electrical and Electronics Engineers; Signal Processing Society
Language英语
Content Type会议论文
URIhttp://ir.iscas.ac.cn/handle/311060/8606
Collection2010软件所会议论文
Recommended Citation
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.
Files in This Item:
File Name/Size DocType Version Access License
a mean shift algorit(330KB) 限制开放--Application Full Text
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Chen Jianjun]'s Articles
[An Guocheng]'s Articles
[Zhang Suofei]'s Articles
Baidu academic
Similar articles in Baidu academic
[Chen Jianjun]'s Articles
[An Guocheng]'s Articles
[Zhang Suofei]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Chen Jianjun]'s Articles
[An Guocheng]'s Articles
[Zhang Suofei]'s Articles
Terms of Use
No data!
Social Bookmark/Share
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.