In this article, we propose a visual pedestrian detection system which couples pedestrian appearance and pedestrian motion in a Bayesian fashion, with the goal of making detection more invariant to appearance changes. More precisely, the system couples dense appearance-based pedestrian likelihoods derived from a sliding-window SVM detector to spatial prior distributions obtained from the prediction step of a particle filter based pedestrian tracker. This mechanism, which we term dynamic attention priors (DAP), is inspired by recent results on predictive visual attention in humans and can be implemented at negligible computational cost. We prove experimentally, using a set of public, annotated pedestrian sequences, that detection performance is improved significantly, especially in cases where pedestrians differ from the learned models, e.g., when they are too small, have an unusual pose or occur before strongly structured backgrounds. In particular, dynamic attention priors allow to use more restrictive detection thresholds without losing detections while minimizing false detections.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Robust visual pedestrian detection by tight coupling to tracking


    Beteiligte:


    Erscheinungsdatum :

    01.10.2014


    Format / Umfang :

    1701246 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Robust pedestrian detection and tracking in crowded scenes

    Kelly, P. / O'Connor, N. E. / Smeaton, A. F. | British Library Online Contents | 2009


    Robust detection of pedestrian/cyclist by neuromorphic visual processing

    Han,W.S. / Han,I.S. / Imperial College,GB et al. | Kraftfahrwesen | 2014


    Pedestrian detection and tracking based on far infrared visual information

    Olmeda, Daniel / Hilario, Cristina / Escalera, Arturo de la et al. | Tema Archiv | 2008


    Visual Pedestrian Tracking from a UAV Platform

    Zhang, Li / Zhang, Zenghui / Xiong, Huilin | IEEE | 2017


    Occlusion-Robust Pedestrian Tracking in Crowded Scenes

    Gastel, Jeroen S. van / Zwemer, Matthijs H. / Wijnhoven, Rob G. J. et al. | IEEE | 2015