real-time vehicle detection based on haar features and pairwise geometrical histograms

ISCAS OpenIR

	real-time vehicle detection based on haar features and pairwise geometrical histograms
	Yong Xi; Zhang Liwei; Song Zhangjun; Hu Ying; Zheng Lan; Zhang Jianwei
	2011
会议名称	2011 International Conference on Information and Automation, ICIA 2011
会议录名称	2011 IEEE International Conference on Information and Automation, ICIA 2011
页码	390-395
会议日期	June 6, 2011 - June 8, 2011
会议地点	Shenzhen, China
收录类别	EI
ISBN	9781457702686
部门归属	(1) Shenzhen Institutes of Advanced Technology Chinese Academy of Sciences China; (2) Chinese University of Hong Kong Hong Kong Hong Kong; (3) School of Software Engineering University of Science and Technology of China Hefei China; (4) TAMS Department of Informatics University of Hamburg Hamburg Germany
摘要	The Pairwise Geometrical Histograms (PGH) is a generalization of Chain Code Histogram(CCH). It is a powerful shape descriptor that is applied to contours matching which is not affected by rotation. As we know, this method is seldom used for vehicle detection. Feature extraction is a very common and useful method of pattern recognition. In recent years, the Viola and Jones rapid object detection approach became very popular. In this paper, we combine the Haar features and PGH together for vehicle detection. We discuss three methods: the vehicle detection using only Haar features, Haar features combined with hu moments and Haar features combined with PGH. The experimental results show that the last one has the best performance. © 2011 IEEE.; The Pairwise Geometrical Histograms (PGH) is a generalization of Chain Code Histogram(CCH). It is a powerful shape descriptor that is applied to contours matching which is not affected by rotation. As we know, this method is seldom used for vehicle detection. Feature extraction is a very common and useful method of pattern recognition. In recent years, the Viola and Jones rapid object detection approach became very popular. In this paper, we combine the Haar features and PGH together for vehicle detection. We discuss three methods: the vehicle detection using only Haar features, Haar features combined with hu moments and Haar features combined with PGH. The experimental results show that the last one has the best performance. © 2011 IEEE.
关键词	Codes (Symbols) Graphic Methods Statistical Methods Vehicles
语种	英语
内容类型	会议论文
URI标识	http://ir.iscas.ac.cn/handle/311060/16317
专题	中国科学院软件研究所
推荐引用方式 GB/T 7714	Yong Xi,Zhang Liwei,Song Zhangjun,et al. real-time vehicle detection based on haar features and pairwise geometrical histograms[C],2011:390-395.