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	Coherent Filtering: Detecting Coherent Motions from Crowd Clutters
	Bolei Zhou; Xiaoou Tang; Xiaogang Wang
	2012
会议名称	12th European Conference on Computer Vision (ECCV)
会议地点	意大利
英文摘要	Coherent motions, which describe the collective movements of individuals in crowd, widely exist in physical and biological systems. Understanding their underlying priors and detecting various coherent motion patterns from back- ground clutters have both scienti？c values and a wide range of practical applications, especially for crowd motion analysis. In this paper, we propose and study a prior of coherent motion called Coherent Neighbor Invariance, which characterizes the local spatiotemporal relationships of individuals in coherent motion. Based on the coherent neighbor invariance, a general technique of detecting coherent motion patterns from noisy time-series data called Coherent Filtering is proposed. It can be effectively applied to data with different distributions at different scales in various real-world problems, where the environments could be sparse or extremely crowded with heavy noise. Experimental evaluation and comparison on synthetic and real data show the existence of Coherence Neighbor Invariance and the effectiveness of our Coherent Filtering.
收录类别	EI
语种	英语
内容类型	会议论文
源URL	[http://ir.siat.ac.cn:8080/handle/172644/3789]
专题	深圳先进技术研究院_集成所
作者单位	2012
推荐引用方式 GB/T 7714	Bolei Zhou,Xiaoou Tang,Xiaogang Wang. Coherent Filtering: Detecting Coherent Motions from Crowd Clutters[C]. 见:12th European Conference on Computer Vision (ECCV) . 意大利.

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