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题名:
Dim moving target tracking algorithm based on particle discriminative sparse representation
作者: Li, Zhengzhou1,2; Li, Jianing1; Ge, Fengzeng1; Shao, Wanxing1; Liu, Bing1; Jin, Gang2,3
刊名: INFRARED PHYSICS & TECHNOLOGY
出版日期: 2016-03-01
卷号: 75, 页码:100-106
关键词: Dim target tracking ; Particle weight estimation ; Discriminative sparse representation ; Posteriori probability distribution estimation
DOI: 10.1016/j.infrared.2016.01.008
文章类型: Article
英文摘要: The small dim moving target usually submerged in strong noise, and its motion observability is debased by numerous false alarms for low signal-to-noise ratio (SNR). A target tracking algorithm based on particle filter and discriminative sparse representation is proposed in this paper to cope with the uncertainty of dim moving target tracking. The weight of every particle is the crucial factor to ensuring the accuracy of dim target tracking for particle filter (PF) that can achieve excellent performance even under the situation of non-linear and non-Gaussian motion. In discriminative over-complete dictionary constructed according to image sequence, the target dictionary describes target signal and the background dictionary embeds background clutter. The difference between target particle and background particle is enhanced to a great extent, and the weight of every particle is then measured by means of the residual after reconstruction using the prescribed number of target atoms and their corresponding coefficients. The movement state of dim moving target is then estimated and finally tracked by these weighted particles. Meanwhile, the subspace of over-complete dictionary is updated online by the stochastic estimation algorithm. Some experiments are induced and the experimental results show the proposed algorithm could improve the performance of moving target tracking by enhancing the consistency between the posteriori probability distribution and the moving target state. (C) 2016 Elsevier B.V. All rights reserved.
WOS标题词: Science & Technology ; Technology ; Physical Sciences
类目[WOS]: Instruments & Instrumentation ; Optics ; Physics, Applied
研究领域[WOS]: Instruments & Instrumentation ; Optics ; Physics
关键词[WOS]: RECOVERY ; PERFORMANCE ; PURSUIT ; CLUTTER ; ONLINE ; FILTER
收录类别: SCI
项目资助者: National Natural Science Foundation of China(61071191) ; Innovative Team Construction Project of Chongqing Universities(KJTD201331) ; Chinese Academy of Sciences Key Laboratory of Beam Control Fund(2014LBC005) ; China Postdoctoral Science Foundation(2014M550455) ; Chongqing Postdoctoral Science Foundation(Xm2014089)
语种: 英语
WOS记录号: WOS:000371555800015
ISSN号: 1350-4495
Citation statistics:
内容类型: 期刊论文
URI标识: http://ir.ioe.ac.cn/handle/181551/3854
Appears in Collections:光电技术研究所被WoS收录文章_期刊论文

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作者单位: 1.Chongqing Univ, Commun Engn Coll, Chongqing 400044, Peoples R China
2.Chinese Acad Sci, Key Lab Beam Control, Chengdu 610209, Peoples R China
3.China Aerodynam Res & Dev Ctr, Mianyang 621000, Peoples R China

Recommended Citation:
Li, Zhengzhou,Li, Jianing,Ge, Fengzeng,et al. Dim moving target tracking algorithm based on particle discriminative sparse representation[J]. INFRARED PHYSICS & TECHNOLOGY,2016,75:100-106.
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