We propose a new algorithm for automatic detect violations of traffic rules for improving the people safety on the unregulated pedestrian crossing. The algorithm uses multi-step proceedings. They are zebra detection, cars detection, and pedestrian detection. For car detection, we use faster R-CNN deep learning tool. The algorithm shows promising results in the detection violations of traffic rules.


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    Titel :

    Algorithm for detecting violations of traffic rules based on computer vision approaches


    Beteiligte:
    Ibadov Samir (Autor:in) / Ibadov Ragim (Autor:in) / Kalmukov Boris (Autor:in) / Krutov Vladimir (Autor:in)


    Erscheinungsdatum :

    2017




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Unbekannt




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