Vehicle Abnormal Behavior Detection System based on Video

摘要：

With reference to the common vehicle abnormal behaviors, the article presents a video-based vehicle abnormal behavior detection system. On the basis of background subtraction methods to detect vehicles, the vehicle tracking and abnormal behavior identification was realized by building up information chain of tracked vehicles. The system solves effectively the problems of traditional method, such as losing detection and wrong matching. The experiments showed that the system could not only detect vehicle abnormal behavior correctly, but also calculate the traffic flow and count the number of vehicles which broke traffic rules accurately.

关键词： vehicle detection vehicle tracking abnormal behavior identification traffic flow

作者: Sang Hai-feng WangHui Wu Dan-yang

作者单位: Information Science and Engineering School Shenyang University of Technology Shenyang 110870, China

会议类型: 国际会议

会议名称: 2012 Fifth International Symposium on Computational Intelligence and Design 第五届计算智能与设计国际会议 ISCID 2012

会议地点: 杭州

会议语种:英文

页码: 132-135

在线出版日期: 2012-10-28（万方平台首次上网日期，不代表论文的发表时间）