1–6 von 6 Ergebnissen
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    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 ...

    Background Modeling and Subtraction of Dynamic Scenes

    Monnet, A. / Mittal, A. / Paragios, N. et al. | British Library Conference Proceedings | 2003

    Parametric Representations for Nonlinear Modeling of Visual Data

    Zhu, Y. / Comaniciu, D. / Ramesh, V. et al. | British Library Conference Proceedings | 2001

    Parametric representations for nonlinear modeling of visual data

    Ying Zhu, / Comaniciu, D. / Ramesh, V. et al. | IEEE | 2001
    data often spread into a nonlinear manifold in the high-dimensional space, which makes traditional linear modeling techniques ineffective. This ...

    Statistical calibration of CCD imaging process

    Tsin, Y. / Ramesh, V. / Kanade, T. | IEEE | 2001
    including: white balancing, gamma correction and automatic gain control. This paper illustrates how careful modeling of the error sources and the ...

    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 ...

      Topology Free Hidden Markov Models: Application to Background Modeling

      Stenger, B. / Ramesh, V. / Paragios, N. et al. | British Library Conference Proceedings | 2001