A Novel Robust Method for Automatic Detection of Traffic Sign

Abstract : Considering the requirement of high accuracy and robustness for traffic sign detection in real-world environments, this paper proposed a novel method for automatic detection of traffic sign. There are three main stages in the proposed algorithm:1)segmentation by adaptive threshold in HSI color space to find the region of interest; 2)eliminate the noise present in the binary image and the small objects with morphological operations and mean filter;3)contour extraction and curve fitting for a better contour by the least square method. Experimental results show a high success rate and demonstrate that the proposed framework is invariant to illumination, deformation, and partial occlusions.
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Communication dans un congrès
Daoliang Li; Yingyi Chen. 7th International Conference on Computer and Computing Technologies in Agriculture (CCTA), Sep 2013, Beijing, China. Springer, IFIP Advances in Information and Communication Technology, AICT-419 (Part I), pp.263-268, 2014, Computer and Computing Technologies in Agriculture VII. 〈10.1007/978-3-642-54344-9_32〉
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Bo Peng, Juan Wu. A Novel Robust Method for Automatic Detection of Traffic Sign. Daoliang Li; Yingyi Chen. 7th International Conference on Computer and Computing Technologies in Agriculture (CCTA), Sep 2013, Beijing, China. Springer, IFIP Advances in Information and Communication Technology, AICT-419 (Part I), pp.263-268, 2014, Computer and Computing Technologies in Agriculture VII. 〈10.1007/978-3-642-54344-9_32〉. 〈hal-01220927〉

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