DocumentCode :
2049022
Title :
A Sequential Frame Method for Traffic Sign Detection
Author :
Zhi-Bang, Yang ; Cheng, Xu ; Shi-Ying, Li ; Xu, Zhou
Author_Institution :
Sch. of Comput. & Commun., Hunan Univ., Changsha, China
Volume :
1
fYear :
2010
fDate :
14-15 Aug. 2010
Firstpage :
137
Lastpage :
140
Abstract :
Based on the sequential video frame, a method to detect the traffic sign was proposed. The color image was mapped from RGB to improved HSI color space first, and then converted it to binary image according the color of signs. The shape features were used to remove some noise, and the improved Hough transform was used to locate the areas of traffic signs. Compared to the existed detection algorithm, a previous frame was used as a priori information to reduce the treatment region, then to decrease the computation. In order to prevent the undetected region, a full inspection was processed when the number of consecutive frames which detected the traffic signs was more than the threshold. The results show that the method in this paper performs better than the traditional method.
Keywords :
Hough transforms; image colour analysis; image recognition; image sequences; traffic engineering computing; video signal processing; HSI color space; Hough transform; RGB; binary image; color image; sequential frame method; sequential video frame; sign color; traffic sign detection; Feature extraction; Image color analysis; Pixel; Real time systems; Roads; Shape; Transforms; color information; sequential video frame; shape characteristics; traffic sign detection;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Engineering (ICIE), 2010 WASE International Conference on
Conference_Location :
Beidaihe, Hebei
Print_ISBN :
978-1-4244-7506-3
Electronic_ISBN :
978-1-4244-7507-0
Type :
conf
DOI :
10.1109/ICIE.2010.40
Filename :
5570863
Link To Document :
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