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	Real-time Vehicle Detection Based on Haar Features and Pairwise Geometrical Histograms
	Xi Yong; Liwei Zhang; Zhangjun Song; Ying Hu; Lan Zheng; Jianwei Zhang
	2011
会议名称	2011 International Conference on Information and Automation
会议地点	Shenzhen, China
英文摘要	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.
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/172644/3355]
专题	深圳先进技术研究院_集成所
作者单位	2011
推荐引用方式 GB/T 7714	Xi Yong,Liwei Zhang,Zhangjun Song,et al. Real-time Vehicle Detection Based on Haar Features and Pairwise Geometrical Histograms[C]. 见:2011 International Conference on Information and Automation. Shenzhen, China.

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