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EUROSSC
2006
Springer

Dynamic Bayesian Networks for Visual Surveillance with Distributed Cameras

8 years 11 months ago
Dynamic Bayesian Networks for Visual Surveillance with Distributed Cameras
Abstract. This paper presents a surveillance system for tracking multiple people through a wide area with sparsely distributed cameras. The computational core of the system is an adaptive probabilistic model for reasoning about peoples' appearances, locations and identities. The system consists of two processing levels. At the low-level, individual persons are detected in the video frames and tracked at a single camera. At the high-level, a probabilistic framework is applied for estimation of identities and camera-to-camera trajectories of people. The system is validated in a real-world office environment with seven color cameras.
Wojciech Zajdel, Ali Taylan Cemgil, Ben J. A. Kr&o
Added 22 Aug 2010
Updated 22 Aug 2010
Type Conference
Year 2006
Where EUROSSC
Authors Wojciech Zajdel, Ali Taylan Cemgil, Ben J. A. Kröse
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