Many motion detection and tracking algorithms rely on the process of background subtraction, a technique which detects changes from a model of the background scene. We present a new algorithm for the purpose of background model initialization. The algorithm takes as input a video sequence in which moving objects are present, and outputs a statistical background model describing the static parts of the scene. Multiple hypotheses of the background value at each pixel are generated by locating periods of stable intensity in the sequence. The likelihood of each hypothesis is then evaluated using optical flow information from the neighborhood around the pixel, and the most likely hypothesis is chosen to represent the background. Our results are compared with those of several standard background modeling techniques using surveillance video of humans in indoor environments.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    A background model initialization algorithm for video surveillance


    Beteiligte:
    Gutchess, D. (Autor:in) / Trajkovics, M. (Autor:in) / Cohen-Solal, E. (Autor:in) / Lyons, D. (Autor:in) / Jain, A.K. (Autor:in)


    Erscheinungsdatum :

    01.01.2001


    Format / Umfang :

    1122303 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    A Background Model Initialization Algorithm for Video Surveillance

    Gutchess, D. / Trajkovic, M. / Cohen-Solal, E. et al. | British Library Conference Proceedings | 2001


    A Novel Robust Statistical Method for Background Initialization and Visual Surveillance

    Wang, H. / Suter, D. | British Library Conference Proceedings | 2006


    Improved Background Mixture Models for Video Surveillance Applications

    Poppe, Chris / Martens, Gaëtan / Lambert, Peter et al. | Springer Verlag | 2007



    Ballistic Track Initialization from a Bisatellite Surveillance Imaging System

    Dezert, J. / International Society of Information Fusion / Institute of Electrical and Electronics Engineers | British Library Conference Proceedings | 2002