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	Object occupancy probabilistic field based multi-view moving object detection and correspondence
	Xu Jian ; Ding Xiao-Qing ; Wang Shen-Jin
	2010-10-12 ; 2010-10-12
关键词	Practical Theoretical or Mathematical/ image motion analysis object detection probability/ object occupancy probabilistic field multiview moving object detection object probabilistic random field object window structure object correspondence/ B6135 Optical, image and video signal processing B0240Z Other topics in statistics C5260B Computer vision and image processing techniques C1140Z Other topics in statistics
中文摘要	A novel algorithm to detect objects across multiple views at the same instance is proposed based on object probabilistic random field (OOPF). OOPF is the core of our algorithm and it integrates all the information of individual views into the fusion space. Then object detection is implemented in the fusion space. An object window structure is designed in order to compute OOPF fast, which also provides a scheme to detect objects and the correspondence simultaneously. The experiment results demonstrate that the algorithm has a better performance against occlusion while the computational complexity is low.
语种	中文
出版者	China International Book Trading Corp. ; China
内容类型	期刊论文
源URL	[http://hdl.handle.net/123456789/82404]
专题	清华大学
推荐引用方式 GB/T 7714	Xu Jian,Ding Xiao-Qing,Wang Shen-Jin. Object occupancy probabilistic field based multi-view moving object detection and correspondence[J],2010, 2010.
APA	Xu Jian,Ding Xiao-Qing,&Wang Shen-Jin.(2010).Object occupancy probabilistic field based multi-view moving object detection and correspondence..
MLA	Xu Jian,et al."Object occupancy probabilistic field based multi-view moving object detection and correspondence".(2010).

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