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2006
IEEE

Person Tracking in Smart Rooms using Dynamic Programming and Adaptive Subspace Learning

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Person Tracking in Smart Rooms using Dynamic Programming and Adaptive Subspace Learning
We present a robust vision system for single person tracking inside a smart room using multiple synchronized, calibrated, stationary cameras. The system consists of two main components, namely initialization and tracking, assisted by an additional component that detects tracking drift. The main novelty lies in the adaptive tracking mechanism that is based on subspace learning of the tracked person appearance in selected two-dimensional camera views. The subspace is learned on the fly, during tracking, but in contrast to the traditional literature approach, an additional “forgetting” mechanism is introduced, as a means to reduce drifting. The proposed algorithm replaces mean-shift tracking, previously employed in our work. By combining the proposed technique with a robust initialization component that is based on face detection and spatio-temporal dynamic programming, the resulting vision system significantly outperforms previously reported systems for the task of tracking the se...
ZhenQiu Zhang, Gerasimos Potamianos, Stephen M. Ch
Added 11 Jun 2010
Updated 11 Jun 2010
Type Conference
Year 2006
Where ICMCS
Authors ZhenQiu Zhang, Gerasimos Potamianos, Stephen M. Chu, Jilin Tu, Thomas S. Huang
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