Proceedings of the 2015 International Conference on Intelligent Systems Research and Mechatronics Engineering

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

Authors
Mengxin Li, Xiangqian Tian, Ying Zhang, Ke Xu, Dai Zheng
Corresponding Author
Mengxin Li
Available Online April 2015.
DOI
10.2991/isrme-15.2015.86How to use a DOI?
Keywords
Intelligent Vehicle; Machine Vision; Vehicle Detection; Vehicle Tracking
Abstract

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.

Copyright
© 2015, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2015 International Conference on Intelligent Systems Research and Mechatronics Engineering
Series
Advances in Intelligent Systems Research
Publication Date
April 2015
ISBN
10.2991/isrme-15.2015.86
ISSN
1951-6851
DOI
10.2991/isrme-15.2015.86How to use a DOI?
Copyright
© 2015, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Mengxin Li
AU  - Xiangqian Tian
AU  - Ying Zhang
AU  - Ke Xu
AU  - Dai Zheng
PY  - 2015/04
DA  - 2015/04
TI  - A Review of Vision-Based Vehicle Detection and Tracking Techniques for Intelligent Vehicle
BT  - Proceedings of the 2015 International Conference on Intelligent Systems Research and Mechatronics Engineering
PB  - Atlantis Press
SP  - 402
EP  - 405
SN  - 1951-6851
UR  - https://doi.org/10.2991/isrme-15.2015.86
DO  - 10.2991/isrme-15.2015.86
ID  - Li2015/04
ER  -