Intelligent vehicles and unattended driving systems of the future will need the ability to recognize relevant traffic participants (such as other vehicles, pedestrians, bicyclists, etc.) and detect dangerous situations ahead of time. An important component of these systems is one that is able to distinguish pedestrians and track their motion to make intelligent driving decisions. The associated computer vision problem that needs to be solved is detection and tracking of pedestrians from a moving camera, which is extremely challenging. Robust pedestrian tracking performance can be achieved by temporal integration of the data in a probabilistic setting. We employ a shape model for pedestrians and an efficient variant of the condensation tracker to achieve these objectives. The tracking is performed in the high-dimensional space of shape model parameters which consists of Euclidean transformation parameters and deformation parameters. Our condensation tracker employs sampling on quasi-random points, improving its asymptotic complexity and robustness, and making it amenable to real-time implementation.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Pedestrian tracking from a moving vehicle


    Contributors:
    Philomin, V. (author) / Duraiswami, R. (author) / Davis, L. (author)


    Publication date :

    2000-01-01


    Size :

    796167 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Pedestrian tracking from a moving vehicle

    Philomin, V. / Duraiswami, R. / Davis, L. et al. | British Library Conference Proceedings | 2000


    Multi-cue Pedestrian Detection and Tracking from a Moving Vehicle

    Gavrila, D. M. / Munder, S. | British Library Online Contents | 2007


    Pedestrian tracking in infrared from moving vehicles

    Jüngling, K. / Arens, M. | Fraunhofer Publica | 2010

    Free access

    Fast pedestrian detection from a moving vehicle

    You, Shuang | DSpace@MIT | 2006

    Free access

    Motion-based Pedestrian Recognition from a Moving Vehicle

    Fardi, B. / Seifert, I. / Wanielik, G. et al. | British Library Conference Proceedings | 2006