Title: Color-based object tracking in multi-camera environments
Authors: Nummiaro, Katja
Koller-Meier, Esther
Svoboda, Tomas
Roth, Daniel
Van Gool, Luc
Issue Date: 2003
Publisher: Springer
Host Document: Lecture Notes in Computer Science vol:2781 pages:591-599
Conference: Pattern recognition symposium - DAGM’03 edition:25 location:Magdeburg, Germany date:10-12 September 2003
Abstract: This paper presents a multi-view tracker, meant to operate in smart rooms that are equipped with multiple cameras. The cameras are assumed to be calibrated(1). In particular, we demonstrate a virtual classroom application, where the system automatically selects the camera with the 'best' view on the face of a person moving in the room. Real-time object tracking, which is needed to achieve this, is implemented by means of color-based particle filtering. The use of multiple model histograms for the target (human head) results robust tracking, even when the view on the target changes considerably like from the front to the back. Information is shared between the cameras, which adds robustness to the system. Once one camera has lost the target, it can be reinitialized with the help of the epipolar constraints suggested by the others. Experiments in our research environment corroborate the effectiveness of the approach.
Description: Nummiaro K., Koller-Meier E., Svoboda T., Roth D., Van Gool L., ''Color-based object tracking in multi-camera environments'', Lecture notes in computer science, vol. 2781, pp. 591-599, 2003 (Proceedings 25th pattern recognition symposium - DAGM’03, September 10-12, 2003, Magdeburg, Germany).
ISSN: 0302-9743
Publication status: published
KU Leuven publication type: IC
Appears in Collections:ESAT - PSI, Processing Speech and Images

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