Vehicle Detection Based on Binocular Stereovision and Edge Extraction

摘要：

　　Traffic accident has already become a significant social problem.Intelligent Transportation Systems (ITS) is vital to improve the vehicle safety.As an important part of ITS, vehicle detection has been widespread concern.This paper presents a vehicle detection algorithm based on binocular stereovision and edge extraction: analyze spatial coordinate feature belong to object point and detect obstacle points; segment Region of Interest; apply symmetry to detect vehicle.The experimental results indicate that the algorithm possess high efficiency and accuracy.

关键词： ITS vehicle detection binocular stereovision edge extraction

作者: Tong Fei Xu Lei

作者单位: School of Optical-Electrical and Computer Engineering,University of Shanghai for Science and Technology,Shanghai 200093,China

会议类型: 国际会议

会议名称: the 3nd International Conference on Digital Manufacturing & Automation (第三届数字制造与自动化国际会议(ICDMA 2012))

会议地点: 桂林

会议语种:英文

页码: 1090-1093

在线出版日期: 2012-08-01（万方平台首次上网日期，不代表论文的发表时间）