This paper presents an approach on detection of largely occluded pedestrians. From a pair of synchronized cameras in the Visible Light (VL) and Far Infrared (FIR) spectrum individual detections are combined and final confidence is inferred using a small set of logic rules via a Markov Logic Network. Pedestrians not entirely contained in the image or occluded are detected based on the binary classification on subparts of the detection window. The presented method is applied to a pedestrian classification problem in urban environments. The classifier has been tested in an Intelligent Transportation System (ITS) platform as part of an Advanced Driver Assistance Systems (ADAS).


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Part based pedestrian detection based on Logic inference


    Beteiligte:


    Erscheinungsdatum :

    2013-10-01


    Format / Umfang :

    1112613 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Two-stage part-based pedestrian detection

    Mogelmose, Andreas / Prioletti, Antonio / Trivedi, Mohan M. et al. | IEEE | 2012


    Pedestrian detection based on deep convolutional neural network with ensemble inference network

    Fukui, Hiroshi / Yamashita, Takayoshi / Yamauchi, Yuji et al. | IEEE | 2015


    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


    Camera Based Pedestrian Detection

    Schiele, Bernt / Wojek, Christian | Springer Verlag | 2015