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Color-Based Object Tracking in Multi-Camera Environments

K. Nummiaro, E. Koller-Meier, T. Svoboda, D. Roth and L. Van Gool
25th Pattern Recognition Symposium, DAGM 2003
Magdeburg, Germany, September 2003


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 system.

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  author = {K. Nummiaro and E. Koller-Meier and T. Svoboda and D. Roth and L. Van Gool},
  title = {Color-Based Object Tracking in Multi-Camera Environments},
  booktitle = {25th Pattern Recognition Symposium, DAGM 2003},
  year = {2003},
  month = {September},
  pages = {591-599},
  editor = {B. Michaelis and G. Krell},
  series = {LNCS},
  publisher = {Springer},
  keywords = {Particle filtering, multi-camera room, best-view selection}