| Title: | a mean shift algorithm based on modified parzen window for small target tracking |
| Author: | Chen Jianjun
; An Guocheng
; Zhang Suofei
; Wu Zhenyang
|
| Source: | ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
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| Conference Name: | 2010 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2010
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| Conference Date: | March 14,
|
| Issued Date: | 2010
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| Conference Place: | Dallas, TX, United states
|
| Keyword: | Algorithms
; Graphic methods
; Interpolation
; Signal processing
; Vector quantization
; Video recording
|
| Publish Place: | United States
|
| Indexed Type: | ei
|
| ISSN: | 15206149
|
| ISBN: | 9781420000000
|
| 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
|
| Sponsorship: | The Institute of Electrical and Electronics Engineers; Signal Processing Society
|
| English Abstract: | 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. |
| Language: | 英语
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| Content Type: | 会议论文
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| URI: | http://ir.iscas.ac.cn/handle/311060/8606
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| Appears in Collections: | 中科院软件所图书馆_2010软件所会议论文
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| a mean shift algorithm based on modified parzen window for small target tracking.pdf（330KB） | -- | -- | 限制开放 | -- | 联系获取全文 |
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| Recommended Citation: | |
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,.
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