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Traffic signs provide drivers important information for security and efficient navigation. Automatic detection of traffic signs inevitably become more popular. In this paper, an efficient method/platform is presented to achieve automatic traffic signs detection. Gabor filter bank and BRISK descriptor are used as keypoint fusion approach for traffic sign detection. Our experiment shows that the system can achieve a high detection rate of 100% for pedestrian and bike crossing traffic signs. Keywords— Intelligent Transport System (ITS), Image Processing, Traffic Sign Detection, Image Classification, Traffic Signs, Gabor Filter, BRISK Descriptor.

Traffic Sign Detection Based On Gabor Filter And BRISK Descriptor