DocumentCode :
1904586
Title :
Hybrid color space based road sign detection technique
Author :
Eom, Tae-Jung ; Goswami, Kalyan ; Kim, Byung-Gyu ; Lee, Jeong
Author_Institution :
Dept. of Comput. Sci. & Eng., Sun Moon Univ., Asan, South Korea
fYear :
2012
fDate :
3-5 Sept. 2012
Firstpage :
81
Lastpage :
83
Abstract :
An automatic road-sign detection technique for the South Korean driving environment is presented. In automatic traffic-sign maintenance and visual driver assistance systems, the road-sign detection technique is one of the most important functions. In South Korea, there are three colors for road signs (blue, green, and brown) that are generally used for traffic signs in both urban and rural areas. A hybrid color space based segmentation technique is presented for classifying these three types of road signs. Hue and normalized RGB based color spaces are used to generate a proper hybrid color space for this application.
Keywords :
driver information systems; image classification; image colour analysis; image segmentation; South Korean driving environment; automatic road-sign detection technique; automatic traffic-sign maintenance; blue color; brown color; green color; hue-based color spaces; hybrid color space-based segmentation technique; normalized RGB-based color spaces; road sign classification; rural areas; urban areas; visual driver assistance systems; Color; Colored noise; Green products; Image color analysis; Real-time systems; Roads; Vehicles;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Consumer Electronics - Berlin (ICCE-Berlin), 2012 IEEE International Conference on
Conference_Location :
Berlin
ISSN :
2166-6814
Print_ISBN :
978-1-4673-1546-3
Type :
conf
DOI :
10.1109/ICCE-Berlin.2012.6336533
Filename :
6336533
Link To Document :
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