A Method of Traffic Lights Detection Based on Visual Selective Attention
Authors
Xueling Wang, Youfu Wu, Peng Yang, Zusheng Chen
Corresponding Author
Xueling Wang
Available Online July 2015.
- DOI
- 10.2991/icismme-15.2015.173How to use a DOI?
- Keywords
- Visual attention; Image enhancement; Region of interest; Region labeling.
- Abstract
In this paper, the candidate target traffic lights under different backgrounds were automatically detected with the visual selective attention mechanism. The region of interest in color image was projected into the gray, and the gray image enhancement was done through top-hat algorithm. The binary image was obtained by using Otsu’s method. And finally the logical ‘and’ operation was carried out for the binary image and the binary image which was obtained according to threshold segmentation in HSI space. The detection on depth information feature of the lights surrounded by the dark boundary was applied to the interested target candidate region. Experimental results show that this method was robust.
- 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 - Xueling Wang AU - Youfu Wu AU - Peng Yang AU - Zusheng Chen PY - 2015/07 DA - 2015/07 TI - A Method of Traffic Lights Detection Based on Visual Selective Attention BT - Proceedings of the First International Conference on Information Sciences, Machinery, Materials and Energy PB - Atlantis Press SP - 827 EP - 830 SN - 1951-6851 UR - https://doi.org/10.2991/icismme-15.2015.173 DO - 10.2991/icismme-15.2015.173 ID - Wang2015/07 ER -