WATSON: Adaptive Tracking System
 
Principal Investigators:
Louis-Philippe Morency
Ali Rahimi
Goal:
The goal of this project is to design and build a multi-person tracking system using a network of stereo cameras. Our system, which stands in an ordinary conference room is able to track people, estimate their trajectories as well as different characteristics (e.g. size, posture).
Our Approach:
Related Publications:
1. Louis-Philippe Morency, Ali Rahimi, Trevor Darrell, Adaptive View-based Appearance Model, Proceedings IEEE Conf. on Computer Vision and Pattern Recognition, 2003.
2. Louis-Philippe Morency, Trevor Darrell, Stereo Tracking using ICP and Normal Flow, Proceedings Int. Conf. on Pattern Recognition, 2002.
3. Louis-Philippe Morency, Ali Rahimi, Neal Checka, Trevor Darrell, Fast Stereo-Based Head Tracking for Interactive Environment, Proceedings of the Int. Conference on Automatic Face and Gesture Recognition, 2002.
4. Ali Rahimi, Louis-Philippe Morency, Trevor Darrell, Reducing Drift in Parametric Motion Tracking, Proceedings of the International Conference on Computer Vision, 2001.
Video 1 (7.19 MB): Shows head pose estimation using the Adaptive View-based Appearance Model. 
Video 2 (3.78 MB): Shows pose tracking of a rigid object using the AVAM.
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