This paper proposes a real-time traffic sign detection system. In order to extract accurately the shape feature of the traffic sign, reduce the computational load and further improve the traffic sign detection rate, a novel approach based on surround suppression of texture edges and cascade detector is presented. The principle of surround suppression mainly adds a computational step to the canny edge detector. This operator responds strongly to isolated lines and edges, region boundaries, and object contours. To discriminate a set of traffic signs from the background, a boosted cascade detector is used. In this boosted cascade detector, the adaboost algorithm is applied to select a small number of critical visual features and yield extremely efficient classifiers. Experiments show that our method is efficient to detect traffic signs and can be used in real-time traffic sign detection system.


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    Titel :

    Traffic sign detection using surround suppression of texture edges and cascade detector


    Beteiligte:
    Lei Cai, (Autor:in) / Chunyu Zhang, (Autor:in) / Bin Li, (Autor:in) / Chongbo Zhong, (Autor:in) / Qi Wang, (Autor:in)


    Erscheinungsdatum :

    01.09.2010


    Format / Umfang :

    953494 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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