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	A survey of computer vision based pedestrian detection for driver assistance systems
	Jia Hui-Xing ; Zhang Yu-Jin
	2010-05-06 ; 2010-05-06
关键词	Practical/ computer vision driver information systems object recognition/ driver assistance systems computer vision based pedestrian detection intelligent vehicle vehicle-mounted camera regions of interest segmentation object recognition/ C7445 Traffic engineering computing C5260B Computer vision and image processing techniques
中文摘要	Computer vision based pedestrian detection has become one of the hottest topics in the domain of computer vision and intelligent vehicle because of its potential applications in driver assistance systems. It aims at detecting pedestrians appearing ahead of the vehicle using a vehicle-mounted camera, so as to assess the danger and take actions to protect pedestrians in case of danger. In this paper, we give detailed analysis of the difficulties lying in the problem and review most of the literature. A typical pedestrian detection system includes two modules: regions of interest (ROIs) segmentation and object recognition. This paper introduces the principle of typical methods of the two modules and analyzes their respective pros and cons. Finally, we give detailed analysis of performance evaluation and propose some research directions.
语种	中文 ; 中文
出版者	Science Press ; China
内容类型	期刊论文
源URL	[http://hdl.handle.net/123456789/11672]
专题	清华大学
推荐引用方式 GB/T 7714	Jia Hui-Xing,Zhang Yu-Jin. A survey of computer vision based pedestrian detection for driver assistance systems[J],2010, 2010.
APA	Jia Hui-Xing,&Zhang Yu-Jin.(2010).A survey of computer vision based pedestrian detection for driver assistance systems..
MLA	Jia Hui-Xing,et al."A survey of computer vision based pedestrian detection for driver assistance systems".(2010).

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