Preceding Vehicle Detection Using Histograms of Oriented Gradients

摘要：

This paper presents a monocular vision-based preceding vehicle detection system using Histogram of Oriented Gradient (HOG) based method and linear SVM classification. Our detection algorithm consists of three main components: HOG feature extraction, linear SVM classifier training and vehicles detection. Integral Image method is adopted to improve the HOG computational efficiency, and hard examples are generated to reduce false positives in the training phase. In detection step, the multiple overlapping detections due to multi-scale window searching are very well fused by non-maximum suppression based on mean-shift. The monocular system is tested under different traffic scenarios (e.g., simply structured highway, complex urban environments, local occlusion conditions), illustrating good performance.

作者: MAO Ling XIE Mei HUANG Yi ZHANG Yuefei

作者单位: School of Electronic Engineering/University of Electronic Science and Technology of China/ Chengdu, Department of Communication Engineering/Chongqing College of Electronic Engineering/ Shapingba, Chon

会议类型: 国际会议

会议名称: 2010 International Conference on Communications,Circuits and Systems(2010年通信、电路与系统国际会议)

会议地点: 成都

会议语种:英文

页码: 354-358

在线出版日期: 2010-06-28（万方平台首次上网日期，不代表论文的发表时间）