Advanced driver assistance systems have strong restrictions for real-time performance. Vision algorithms embedded in these systems need to balance accuracy and computational simplicity and there exists a continuous challenge to increase both goals. In this paper we define a new operator coined as Local Contour Patterns and use it in fast Hough-Transform-based approaches for circle and line detectors. We show an efficient implementation for traffic sign detection, relying only on shape information, that analyzes a 752 × 480 grayscale image in 40 ms in a Intel 8400 CPU, with a very good performance in real driving conditions.


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    Title :

    Local Contour Patterns for fast traffic sign detection


    Contributors:


    Publication date :

    2010-06-01


    Size :

    1062488 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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