Title :
Color and shape feature-based detection of speed sign in real-time
Author :
Kim, Seunggyu ; Kim, Seongdo ; Uh, Youngjung ; Byun, Hyeran
Author_Institution :
Dept. of Comput. Sci., Yonsei Univ., Seoul, South Korea
Abstract :
This paper presents a method for detecting speed sign based on color and shape features in real-time under real-life environment. In our method, Region Of Interest(ROI) is extracted and verified based on shape feature. In the first step, ROI is roughly extracted by segmentation of a red rim and the segments are optimized by the boundary using guided image filtering. Next step, the shape-based detection verifies the extracted red rim. We compare three different shape-based detection methods, RSD, BCT, and STVUE, and the RSD shows the best speed sign detection rate of 93% on the experimental data of 62 images containing 85 speed sign.
Keywords :
driver information systems; feature extraction; filtering theory; image colour analysis; image segmentation; BCT; RSD; STVUE; advanced driver assistance system; color; guided image filtering; real-life environment; red rim extraction; red rim segmentation; region of interest extraction; shape feature-based detection; speed sign detection; Feature extraction; Filtering; Image color analysis; Image segmentation; Intelligent vehicles; Real-time systems; Shape; BCT; RSD; STVUE; TSR; guided image filtering; speed traffic sign;
Conference_Titel :
Systems, Man, and Cybernetics (SMC), 2012 IEEE International Conference on
Conference_Location :
Seoul
Print_ISBN :
978-1-4673-1713-9
Electronic_ISBN :
978-1-4673-1712-2
DOI :
10.1109/ICSMC.2012.6377802
