This paper proposes a new method for moving object (foreground) detection with non-stationary background using background subtraction. While background subtraction has traditionally worked well for stationary backgrounds, the same cannot be implied for a nonstationary viewing sensor. To a limited extent, motion compensation for non-stationary backgrounds can be applied, but in practice, it is difficult to realize the motion compensation to sufficient accuracy and the background subtraction algorithm will fail for a moving scene. The problem is further compounded when the moving target to be detected/tracked is small, since the pixel error in motion compensating the background will subsume the small target. A spatial distribution of Gaussians (SDG) model is proposed to deal with moving object detection having motion compensation which is only approximately extracted. The distribution of each background pixel is temporally and spatially modeled; a pixel in the current frame is then classified based on this statistical model. The emphasis of this approach is on the robust detection of moving objects even with approximately accurate motion compensation, noise, or environmental changes. Test cases involving the detection of small moving objects with a highly textured background and a pan-tilt tracking system are demonstrated successfully.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Motion detection with non-stationary background


    Beteiligte:
    Ying Ren, (Autor:in) / Chin-Seng Chua, (Autor:in) / Yeong-Khing Ho, (Autor:in)


    Erscheinungsdatum :

    01.01.2001


    Format / Umfang :

    558034 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Motion Detection with Non-stationary Background

    Ren, Y. / Chua, C. / Ho, Y. et al. | British Library Conference Proceedings | 2001


    People detection in low-resolution video with non-stationary background

    Zhang, J. / Gong, S. | British Library Online Contents | 2009



    AN ENERGY-BASED BACKGROUND MODELLING ALGORITHM FOR MOTION DETECTION

    Spagnolo, P. / Leo, M. / D Orazio, T. et al. | British Library Conference Proceedings | 2006