Research on the robust illumination of the likelihood similarity function in tracking target

	Research on the robust illumination of the likelihood similarity function in tracking target
	Di, N.; M. Zhu and G.-L. Han
	2015
发表期刊	Ruan Jian Xue Bao/Journal of Software
卷号	26 期号:1 页码:52-61
摘要	Real-Time tracking low-contrast target in the complex environment is a key problem in the visual area. The algorithm needs to not only copy with the high similar between target and background, revolution, scale variations and target occlusions but also satisfy the real-time tracking. This paper provides a method based on the likelihood similarity function to resolve the low-contrast tracking. In the model construction phase, the new method uses the single peak of the pyramid surface equation to enhance the target information. In the model matching phase, it innovates a new likelihood similarity function which provides more distinguishable measurements than the traditional one. Finally, the tracking process transforms to the maximum likelihood estimate. The algorithm is applied in the TMS320C6416 hardware system and successfully copes with the low contrast (LSCR=4.9) airplane in the cluster background. A series of experiments results show that the lowest limitation of tracking the target by the proposed method is about 3 (LSCR value). 2015 ISCAS.
文章类型	期刊论文
收录类别	EI
文献类型	期刊论文
条目标识符	http://ir.ciomp.ac.cn/handle/181722/56345
专题	中科院长春光机所知识产出
推荐引用方式 GB/T 7714	Di, N.,M. Zhu and G.-L. Han. Research on the robust illumination of the likelihood similarity function in tracking target[J]. Ruan Jian Xue Bao/Journal of Software,2015,26(1):52-61.
APA	Di, N.,&M. Zhu and G.-L. Han.(2015).Research on the robust illumination of the likelihood similarity function in tracking target.Ruan Jian Xue Bao/Journal of Software,26(1),52-61.
MLA	Di, N.,et al."Research on the robust illumination of the likelihood similarity function in tracking target".Ruan Jian Xue Bao/Journal of Software 26.1(2015):52-61.

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