DocumentCode :
3406025
Title :
Traffic light detection during day and night conditions by a camera
Author :
Yu, Chunhe ; Huang, Chuan ; Lang, Yao
Author_Institution :
Dept. of Electron. & Inf. Eng., Shenyang Aerosp. Univ., Shenyang, China
fYear :
2010
fDate :
24-28 Oct. 2010
Firstpage :
821
Lastpage :
824
Abstract :
In order to reduce accident at traffic intersections during day and night, the algorithm of traffic lights detection which is applied in a vehicle driver assistance system is designed by using the image processing technology. The system of traffic light detection includes three parts: a CCD camera, an image acquisition card, and a PC. Based on RGB color space, the algorithm extracts red, green, and yellow objects in the image firstly; For the purpose of eliminating disturbance in the environment, the features of traffic lights are used to verify the object identity, and then the types of traffic signals are judged. The results of experiments show that the algorithm is stable and reliable.
Keywords :
CCD image sensors; driver information systems; feature extraction; image colour analysis; object detection; road accidents; road safety; road vehicles; video signal processing; CCD camera; PC; RGB color space; feature extraction; image acquisition card; image processing; object identity verification; road accident; traffic intersection; traffic light detection; traffic signal; vehicle driver assistance system; Cameras; Driver circuits; Feature extraction; Image color analysis; Pixel; Roads; Vehicles; image recognition; traffic intersection; traffic lights detection; vehicle driver assistance;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing (ICSP), 2010 IEEE 10th International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-5897-4
Type :
conf
DOI :
10.1109/ICOSP.2010.5655934
Filename :
5655934
Link To Document :
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