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/).
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 -