1–6 von 6 Ergebnissen
|

    Topology free hidden Markov models: application to background modeling

    Stenger, B. / Ramesh, V. / Paragios, N. et al. | IEEE | 2001
    from video, and illumination modeling. Their use involves an off-line learning step that is used as a basis for on-line decision making (i.e. a ...

    Efficient non-parametric adaptive color modeling using fast Gauss transform

    Elgammal, A. / Duraiswami, R. / Davis, L.S. | IEEE | 2001
    Modeling the color distribution of a homogeneous region is used extensively for object tracking and recognition applications. The color ...

    Probabilistic framework for segmenting people under occlusion

    Elgammal, A.E. / Davis, L.S. | IEEE | 2001
    . Modeling these regions involves modeling their appearance (color distributions) as well us their spatial distribution with respect to the body. We ...

    Motion-based background subtraction using adaptive kernel density estimation

    Mittal, A. / Paragios, N. | IEEE | 2004
    Background modeling is an important component of many vision systems. Existing work in the area has mostly addressed scenes that consist of ...

    Fast illumination-invariant background subtraction using two views: error analysis, sensor placement and applications

    Ser-Nam Lim, / Mittal, A. / Davis, L.S. et al. | IEEE | 2005
    Background modeling and subtraction to detect new or moving objects in a scene is an important component of many intelligent video ...

    A MRF-based approach for real-time subway monitoring

    Paragios, N. / Ramesh, V. | IEEE | 2001
    using a discontinuity preserving MRF-based approach where the information from different sources (background subtraction, intensity modeling) is ...