NSSC OpenIR  > 空间技术部
Morphology based particle filtering algorithm for point target tracking
Zhou, Rong; Liu, Bo; Teng, Jing
Department空间技术部
Source Publication2013 25th Chinese Control and Decision Conference, CCDC 2013
2013
Pages3760-3764
Language英语
ISBN9781467355322
AbstractThe problem of tracking maneuvering point target in optical image sequence using a single sensor is considered in this paper. A morphology based method is proposed to pre-detect target area. This pre-detection begins with expansion of the target area by dilation using a selected rectangle structuring element. Then the target energy is enhanced by frame-addition. Finally, the target area is detected by getting the maximum intensity based on the character of target correlation between frames. Therefore, the conventional uniform distribution of particles over the whole sensor field-of-view is shrunk to the pre-detection target area. The proposed morphology based particle filtering algorithm thus enhances the particles representation. To demonstrate the efficiency of the proposed method, it is compared with the particle filter proposed by Salmond. The simulations indicate that desired tracking quality is ensured by narrowing initial particle distribution derived from morphology based pre-detection. © 2013 IEEE.
Conference Name2013 25th Chinese Control and Decision Conference, CCDC 2013
Conference DateMay 25, 2013 - May 27, 2013
Conference PlaceGuiyang, China
Indexed ByEI
Document Type会议论文
Identifierhttp://ir.nssc.ac.cn/handle/122/4741
Collection空间技术部
Recommended Citation
GB/T 7714
Zhou, Rong,Liu, Bo,Teng, Jing. Morphology based particle filtering algorithm for point target tracking[C]:IEEE Computer Society, 2001 L Street N.W., Suite 700, Washington, DC 20036-4928, United States,2013:3760-3764.
Files in This Item:
File Name/Size DocType Version Access License
201306561603.pdf(468KB) 开放获取CC BY-NC-SAApplication Full Text
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Zhou, Rong]'s Articles
[Liu, Bo]'s Articles
[Teng, Jing]'s Articles
Baidu academic
Similar articles in Baidu academic
[Zhou, Rong]'s Articles
[Liu, Bo]'s Articles
[Teng, Jing]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Zhou, Rong]'s Articles
[Liu, Bo]'s Articles
[Teng, Jing]'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.