Robust and Real-Time Traffic Lights Recognition in Complex Urban Environments

DOI

10.2991/ijcis.2011.4.6.32How to use a DOI?

Keywords

Traffic lights recognition, Image processing, Pattern recognition, Color threshold segmentation, Candidate regions filtering, Template matching.

Abstract

The traffic lights play an indispensable role in urban road safety and researches on intelligent vehicles become more popular recently. In this paper an automatic system for robust and real-time detection and recognition of traffic lights for intelligent vehicles based on vehicle-mounted camera is proposed. The method applying image processing and pattern recognition theory mainly works in three stages. First, the candidate regions of traffic lights are extracted using the color threshold segmentation method. Secondly, noise removal and two types of filtering which take account of shape information are applied to the candidate regions. Thirdly, template matching using normalized cross correlation techniques is adopted to validate the traffic lights candidate. Experimental results show that the proposed algorithm works effectively and robustly for traffic lights recognition in complex urban environments.

Copyright

© 2011, 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/).

Download article (PDF)

TY  - JOUR
AU  - Chunxiang Wang
AU  - Tao Jin
AU  - Ming Yang
AU  - Bing Wang
PY  - 2011
DA  - 2011/12/01
TI  - Robust and Real-Time Traffic Lights Recognition in Complex Urban Environments
JO  - International Journal of Computational Intelligence Systems
SP  - 1383
EP  - 1390
VL  - 4
IS  - 6
SN  - 1875-6883
UR  - https://doi.org/10.2991/ijcis.2011.4.6.32
DO  - 10.2991/ijcis.2011.4.6.32
ID  - Wang2011
ER  -