A Review of Vision-Based Vehicle Detection and Tracking Techniques for Intelligent Vehicle

被引：0
|
作者：
Li, Mengxin [1 ]
Tian, Xiangqian [1 ]
Zhang, Ying [1 ]
Xu, Ke [1 ]
Zheng, Dai [1 ]
机构：
[1] Shenyang Jianzhu Univ, Sch Informat & Control Engn, Shenyang 110168, Peoples R China
来源：
PROCEEDINGS OF THE 2015 INTERNATIONAL CONFERENCE ON INTELLIGENT SYSTEMS RESEARCH AND MECHATRONICS ENGINEERING | 2015年 / 121卷
关键词：
Intelligent Vehicle; Machine Vision; Vehicle Detection; Vehicle Tracking;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
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.
引用
收藏
页码：402 / 405
页数：4
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