We discuss some of the practical issues concerning the use of mixtures of Gaussians for background segmentation in outdoor scenes, including the choice of parameters. Different covariance representations and their performance impact are examined. In addition, we propose a simple, yet efficient method for coping with sudden global illumination changes based on smoothing brightness and contrast changes over time. All of the discussed methods are capable of running in real time at reasonable resolution on current generation PCs.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Practical mixtures of Gaussians with brightness monitoring


    Beteiligte:
    Atev, S. (Autor:in) / Masoud, O. (Autor:in) / Papanikolopoulos, N. (Autor:in)


    Erscheinungsdatum :

    01.01.2004


    Format / Umfang :

    449843 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Density Estimation Using Mixtures of Mixtures of Gaussians

    Abd-Almageed, W. / Davis, L. S. | British Library Conference Proceedings | 2006


    A novel robust scene change detection algorithm for autonomous robots using mixtures of gaussians

    Manso, Luis / Núñez, Pedro / Silva, Sidnei da et al. | BASE | 2014

    Freier Zugriff

    Bounding Multiple Gaussians Uncertainty with Application to Object Tracking

    Zhang, B. / Perina, A. / Li, Z. et al. | British Library Online Contents | 2016


    GOLD: Gaussians of Local Descriptors for image representation

    Serra, G. / Grana, C. / Manfredi, M. et al. | British Library Online Contents | 2015


    A Robust Algorithm for Point Set Registration Using Mixture of Gaussians

    Jian, B. / Vemuri, B. / IEEE | British Library Conference Proceedings | 2005