Proceedings of the International Conference on Computer Information Systems and Industrial Applications

A New Approach for Recognition and Position of Traffic Lights

Authors
C.Y Shen, L. Zhou, Z.W Teng, J.X Wang
Corresponding Author
C.Y Shen
Available Online June 2015.
DOI
10.2991/cisia-15.2015.186How to use a DOI?
Keywords
HSV color space, flood-fill algorithm, recognition and position
Abstract

A kind of traffic lights automatic recognition and position approach which combines color filtering and flood-fill algorithm is discussed in this paper. This approach firstly conducts color analysis in the subspace of hue and brightness of HSV color space model. Then, it processes to filter traffic lights through setting threshold parameters. Finally, it uses flood-fill algorithm to evaluate the connected regions of filtered images and choose necessary target areas. Experiments with different kinds of images, like images of indoor single background, and complex background images in the day and at night have proved the effectiveness of this approach.

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 International Conference on Computer Information Systems and Industrial Applications
Series
Advances in Computer Science Research
Publication Date
June 2015
ISBN
978-94-62520-72-1
ISSN
2352-538X
DOI
10.2991/cisia-15.2015.186How 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  - C.Y Shen
AU  - L. Zhou
AU  - Z.W Teng
AU  - J.X Wang
PY  - 2015/06
DA  - 2015/06
TI  - A New Approach for Recognition and Position of Traffic Lights
BT  - Proceedings of the International Conference on Computer Information Systems and Industrial Applications
PB  - Atlantis Press
SP  - 682
EP  - 685
SN  - 2352-538X
UR  - https://doi.org/10.2991/cisia-15.2015.186
DO  - 10.2991/cisia-15.2015.186
ID  - Shen2015/06
ER  -