This work presents a vision-based system for detecting and localizing pedestrians in road environments by means of a statistical technique. Initially, attentive vision techniques relying on the search for specific characteristics of pedestrians such as vertical symmetry and strong presence of edges, allow to select interesting regions likely to contain pedestrians. These regions are then used to estimate the localization of pedestrians using a Kalman filter estimator.


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    Titel :

    Shape-based pedestrian detection and localization


    Beteiligte:
    Bertozzi, M. (Autor:in) / Broggi, A. (Autor:in) / Chapuis, R. (Autor:in) / Chausse, F. (Autor:in) / Fascioli, A. (Autor:in) / Tibaldi, A. (Autor:in)


    Erscheinungsdatum :

    01.01.2003


    Format / Umfang :

    571664 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Shape-Based Pedestrian Detection and Localization

    Bertozzi, M. / Broggi, A. / Chapuis, R. et al. | British Library Conference Proceedings | 2003


    Shape-based pedestrian detection

    Broggi, A. / Bertozzi, M. / Fascioli, A. et al. | IEEE | 2000


    Shape-based Pedestrian Detection

    Broggi, A. / Sechi, M. / Bertozzi, M. et al. | British Library Conference Proceedings | 2000


    Shape-based Pedestrian Detection and Tracking

    Gavrila, D. M. / Giebel, J. / INRIA et al. | British Library Conference Proceedings | 2003


    Shape-based pedestrian detection and tracking

    Gavrila, D.M. / Giebel, J. | IEEE | 2002