Moving target detection under moving base

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	Moving target detection under moving base
	Lu, M.; Y. Gao and M. Zhu
刊名	Guangxue Jingmi Gongcheng/Optics and Precision Engineering
	2016
卷号	24 期号:7
英文摘要	A detection algorithm, based on the combined local-global (CLG) optical-flow model and Gaussian pyramid for a moving target appearing against a dynamic background, can compensate for the inadaptability of the classic Horn-Schunck algorithm to illumination changes and reduce the number of needed calculations. Incorporating the hypothesis of gradient conservation into the traditional CLG optical-flow model and combining structure and texture decomposition enable this algorithm to minimize the impact of illumination changes on optical-flow estimates. Further, calculating optical-flow with the Gaussian pyramid by layers and computing optical-flow at other points using an optical-flow iterative with higher gray-level points together reduce the number of calculations required to improve detection efficiency. Finally, this proposed method achieves the detection of a moving target against a dynamic background, according to the background motion vector determined by the displacement and magnitude of the optical-flow. Simulation results indicate that this algorithm, in comparison to the traditional Horn-Schunck optical-flow algorithm, accurately detects a moving target undergoing illumination changes against a dynamic background and simultaneously demonstrates a significant reduction in the number of computations needed to improve detection efficiency.
收录类别	EI
语种	中文
内容类型	期刊论文
源URL	[http://ir.ciomp.ac.cn/handle/181722/57112]
专题	长春光学精密机械与物理研究所_中科院长春光机所知识产出
推荐引用方式 GB/T 7714	Lu, M.,Y. Gao and M. Zhu. Moving target detection under moving base[J]. Guangxue Jingmi Gongcheng/Optics and Precision Engineering,2016,24(7).
APA	Lu, M.,&Y. Gao and M. Zhu.(2016).Moving target detection under moving base.Guangxue Jingmi Gongcheng/Optics and Precision Engineering,24(7).
MLA	Lu, M.,et al."Moving target detection under moving base".Guangxue Jingmi Gongcheng/Optics and Precision Engineering 24.7(2016).