Real-time Vehicle Detection Based on Haar Features and Pairwise Geometrical Histograms

摘要：

The Pairwise Geometrical Histograms (PGH)is generalization of Chain Code Histogram(CCH).It is a powerful shape descriptor that is applied to contours matching which 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.

作者: Xi Yong Liwei Zhang Zhangjun Song Ying Hu Lan Zheng Jianwei Zhang

作者单位: Shenzhen Institutes of Advanced Technology,Chinese Academy of Sciences The Chinese University of Hon Shenzhen Institutes of Advanced Technology,Chinese Academy of Sciences The Chinese University of Hon TAMS,Department of Informatics University of Hamburg,Hamburg,Germany

会议类型: 国际会议

会议名称: 第八届IEEE信息与自动化国际会议(ICIC 2011)

会议地点: 深圳

会议语种:英文

页码: 390-395

在线出版日期: 2011-06-06（万方平台首次上网日期，不代表论文的发表时间）