Detection and recognition steps are the key elements of a full traffic sign system. In this chapter, a complete description of a complete traffic sign system and how the component pieces are glued together are provided. Starting with the stereo acquisition module, data are fed into an attentional cascade detection algorithm. This step is performed separately for each video source and the coherence of the detections for the stereo pair is checked. As a result the location of the traffic sign and its size if obtained. The detected signs are normalized taking into account their shape. Then, they are given to the Forest-ECOC classification stage. All stages are validated individually and as a whole providing competitive results with respect to the state-of-the-art techniques.


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    Titel :

    Traffic Sign Detection and Recognition System


    Weitere Titelangaben:

    SpringerBriefs Computer Sci.


    Beteiligte:
    Escalera, Sergio (Autor:in) / Baró, Xavier (Autor:in) / Pujol, Oriol (Autor:in) / Vitrià, Jordi (Autor:in) / Radeva, Petia (Autor:in)


    Erscheinungsdatum :

    2011-09-22


    Format / Umfang :

    14 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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