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题名:
Novel approach for tracking and recognizing dim small moving targets based on probabilistic data association filter
作者: Li, Zhengzhou; Jin, Gang; Dong, Nengli
刊名: OPTICAL ENGINEERING
出版日期: 2007
卷号: 46, 期号:1
关键词: dim and small moving target ; target recognition and tracking ; probabilistic data association filter ; multifeature fusion
文章类型: Article
英文摘要: While tracking dim and small moving targets in the electro-optical (EO) tracking system, the numerous false alarms resulted from the low signal-to-noise ratio would seriously debase the performance of target recognition and tracking. The probabilistic data association filter in conjunction with a maximum likelihood approach (PDAF-ML) has been applied effectively to low observable or dim target motion analysis. Whereas, the PDAF-ML supposes that the amplitude of target is not correlative among different sampling instants, and that the greater the amplitude value is, the greater the probability of being the target of interest would be. In the EO imaging tracking system, the amplitude information and the motion of target are consistent and highly correlative in a short period. To resolve the problem that the PDAF-ML is inconsistent with the EO imaging tracking system, the two features, namely, the amplitude information and the motion as well as their consistency, are modeled as Markov stationary random signals and are fused by means of PDAF. Experiments are carried out, and the results show that, with the proposed approach, the uncertainty of trajectory association would be largely decreased, and the performance of target recognition and tracking could be significantly improved. (c) 2007 Society of Photo-Optical Instrumentation Engineers.
WOS标题词: Science & Technology ; Physical Sciences
类目[WOS]: Optics
研究领域[WOS]: Optics
收录类别: SCI
语种: 英语
WOS记录号: WOS:000244064400030
Citation statistics:
内容类型: 期刊论文
URI标识: http://ir.ioe.ac.cn/handle/181551/3551
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.Chinese Acad Sci, Inst Opt & Elect, Chengdu 610209, Sichuan, Peoples R China
2.Chongqing Univ, Commun Engn Coll, Chongqing 400030, Peoples R China
3.China Aerodynam Res & Dev Ctr, Mianyang 621000, Sichuan, Peoples R China

Recommended Citation:
Li, Zhengzhou,Jin, Gang,Dong, Nengli. Novel approach for tracking and recognizing dim small moving targets based on probabilistic data association filter[J]. OPTICAL ENGINEERING,2007,46(1).
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