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

Vehicle Monitoring Based On Taillight Detection

Authors
Xiaohua Shu, Liming Liu, Xiaowei Long, Pei Shu
Corresponding Author
Xiaohua Shu
Available Online April 2015.
DOI
10.2991/isrme-15.2015.44How to use a DOI?
Keywords
vehicle detection; taillight detecting; color characteristic.
Abstract

In order to solve the detection of the vehicle at night, a novel vehicle detection method is proposed. According to the lane to be detected, the appropriate detection region and virtual coil should be set. In the detection region, vehicle taillights would be detected and matched, and taillights together with license plate can confirm a taillight-pair represents a vehicle; the accuracy of vehicle detection would be improved. Through matching of taillights in the same lane with that on the former image, the vehicle tracking can be achieved. Experiments show that this method can effectively detect the vehicle position of the vehicle at night, and provides an effective method for monitoring red light runner in the intelligent transportation system.

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
978-94-62520-59-2
ISSN
1951-6851
DOI
10.2991/isrme-15.2015.44How 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  - Xiaohua Shu
AU  - Liming Liu
AU  - Xiaowei Long
AU  - Pei Shu
PY  - 2015/04
DA  - 2015/04
TI  - Vehicle Monitoring Based On Taillight Detection
BT  - Proceedings of the 2015 International Conference on Intelligent Systems Research and Mechatronics Engineering
PB  - Atlantis Press
SP  - 191
EP  - 194
SN  - 1951-6851
UR  - https://doi.org/10.2991/isrme-15.2015.44
DO  - 10.2991/isrme-15.2015.44
ID  - Shu2015/04
ER  -