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	Pedestrian Travel Time Estimation in Crowded Scenes
	Shuai Yi; Hongsheng Li; Xiaogang Wang
	2015
会议名称	ICCV2015
会议地点	智利圣地亚哥
英文摘要	In this paper, we target on the problem of estimating the statistic of pedestrian travel time within a period from an entrance to a destination in a crowded scene. Such estimation is based on the global distributions of crowd densities and velocities instead of complete trajectories of pedestrians, which cannot be obtained in crowded scenes. The proposed method is motivated by our statistical investigation into the correlations between travel time and global properties of crowded scenes. Active regions are created for each source-destination pair to model the probable walking regions over the corresponding source-destination traffic flow. Two sets of scene features are specially designed for modeling moving and stationary persons inside the active regions and their influences on pedestrian travel time. The estimation of pedestrian travel time provides valuable information for both crowd scene understanding and pedestrian behavior analysis, but was not sufficiently studied in literature. The effectiveness of the proposed pedestrian travel time estimation model is demonstrated through several surveillance applications, including dynamic scene monitoring, localization of regions blocking traffics, and detection of abnormal pedestrian behaviors. Many more valuable applications based on our method are to be explored in the future.
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/172644/6709]
专题	深圳先进技术研究院_集成所
作者单位	2015
推荐引用方式 GB/T 7714	Shuai Yi,Hongsheng Li,Xiaogang Wang. Pedestrian Travel Time Estimation in Crowded Scenes[C]. 见:ICCV2015. 智利圣地亚哥.

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