For many smart road applications, objects detection and recognition are one of the most important components. Indeed, precise detection of road objects is a critical task for autonomous urban driving and robotics technologies. In this paper, we describe our real-time smart system that consists in detecting and blurring undesirable road objects to anonymize and secure road users. Indeed, our proposed method is divided into three steps. The first step concerns the acquisition of images using the VIAPIX® system [1] developed by the ACTRIS company [2]. The second step is based on a neuronal approach for objects detection, namely vehicles, persons, road signs, etc. The third step allows to blur among the various objects detected only those which are undesirable on the road, i.e., person's faces, license plate. The obtained results demonstrate the efficiency of our robust approach in terms of good detection.


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    Titel :

    Smart system for blurring undesirable objects in road applications


    Beteiligte:
    Kaddah, Wissam (Autor:in) / Sedgh Gooya, Ehsan (Autor:in) / Alfalou, Ayman (Autor:in)

    Kongress:

    Pattern Recognition and Tracking XXXIII ; 2022 ; Orlando,Florida,United States


    Erschienen in:

    Proc. SPIE ; 12101


    Erscheinungsdatum :

    27.05.2022





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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