A Review of Vision-Based Vehicle Detection and Tracking Techniques for Intelligent Vehicle
Mengxin Li, Xiangqian Tian, Ying Zhang, Ke Xu, Dai Zheng · Advances in intelligent systems research/Advances in Intelligent Systems Research · 2015
Vision-based vehicle detection and tracking techniques is of great importance to reduce vehicle collision accidents and increase the driving safety on road.This paper presents a comprehensive review of latest techniques for vehicle detection and tracking.In hypothesis generation of vehicles, motion-based, knowledge-based and stereo-vision based methods are introduced.Hypothesis verification includes template-based, appearance-based and multi-features fusion methods.In addition, three main algorithms are introduced in vehicle tracking.Finally, existing problems and future research directions of this field are summarized.