IS = { zkontrolovano 12 Dec 2003 },
  UPDATE  = { 2003-12-12 },
  author =   {Nummiaro, Katja and Koller-Meier, Esther and
                  Svoboda, Tom{\'a}{\v s} and Roth, Daniel and 
                  Van Gool, Luc},
  title =   {Color-Based Object Tracking in Multi-Camera
  keywords =   {Particle filtering, multi-camera room, best-view
  booktitle =   {25th Pattern Recognition Symposium, DAGM'03},
  pages =   {591-599},
  year =   {2003},
  editor =   {Michaelis, B. and Krell, G.},
  number =   {2781},
  series =   {LNCS},
  address =   {Berlin, Germany},
  venue =   {Magdeburg, Germany},
  month =   {September},
  day =     {10-12},
  publisher =   {Springer},
  isbn =   {3-540-40861-4},
  annote = {Smart rooms provide challenging research fields for
    surveillance, human-computer interfacing, video conferencing,
    industrial monitoring or service and training applications. This
    paper presents our efforts toward building such an intelligent
    environment with a calibrated multi camera setup. For a virtual
    classroom application, the best view is selected automatically
    from different cameras that follow the target. Real-time object
    tracking, which is needed to achieve this goal, is implemented by
    means of color-based particle filtering. The use of multiple
    models for a target results in a robust tracking even when the
    view on the target changes considerably like from the front to the
    back. Information is shared between the cameras and used for
    (re)initializing an object with epipolar geometry and the prior
    knowledge of the target model characteristics. Experiments in our
    research environment show the possible uses of the proposed
  psurl =     {[PDF]},
  book_pages =   {621},