Title :
An efficient framework for recognizing traffic lights in night traffic images
Author :
Fan, Bo ; Lin, Weiyao ; Yang, Xiaokang
Author_Institution :
Institute of Image Communication and Information Processing, Department of Electronic Engineering, Shanghai Jiao Tong University, 200240, China
Abstract :
In this paper, we propose a new and efficient framework for detecting and recognizing traffic signal lights with the corresponding countdown counters in the night scenes. The proposed framework first compares the difference between the daytime and night situation of traffic lights in the image and locate the recognition candidates in the HLC color space. With the locating of the main location marks, the shooting angle direction could be corrected. Based on the frontal direction, the content of the traffic lights can be recognized with the template matching measure. Furthermore, in order to reduce computation, a complexity reducing method is proposed. Experimental results on various scenes demonstrate the effectiveness of our proposed framework.
Keywords :
Recognition; Signal lights; intelligent transportation; intelligent vehicles;
Conference_Titel :
Image and Signal Processing (CISP), 2012 5th International Congress on
Conference_Location :
Chongqing, Sichuan, China
Print_ISBN :
978-1-4673-0965-3
DOI :
10.1109/CISP.2012.6469638