Title :
Automatic Detection and Recognition of Circular Road Sign
Author :
Huang, Hua ; Chen, Chao ; Jia, Yulan ; Tang, Shuming
Author_Institution :
Sch. of Electron. & Inf. Eng., Xi´´an Jiaotong Univ., Beijing
Abstract :
Road sign detection and recognition is an important research issue of driver assistance systems. This paper proposes a two-stage automatic detection and recognition algorithm for the most common road signs in China. In the first phase, color segmentation and Hough transform are used for ROI detection. Considering the difference between the actual road signs and standard road signs, the pictograph on road signs is extracted for recognition. Adaptive Hausdorff distance based on similarity weighting is employed in the recognition phase. The experiment results show the effectiveness for recognition and the insensitivity to slight occlusion.
Keywords :
Hough transforms; driver information systems; image colour analysis; image recognition; image segmentation; object detection; Hough transform; ROI detection; adaptive Hausdorff distance; automatic circular road sign detection; circular road sign recognition; driver assistance system; image color segmentation; road sign pictograph; similarity weighting; Automation; Brightness; Chaos; Intelligent systems; Laboratories; Noise robustness; Phase detection; Roads; Shape; Space technology;
Conference_Titel :
Mechtronic and Embedded Systems and Applications, 2008. MESA 2008. IEEE/ASME International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-2367-5
Electronic_ISBN :
978-1-4244-2368-2
DOI :
10.1109/MESA.2008.4735704
