Online multicamera tracking with a switching state-space model
Zajdel, W.
Cemgil, A.T.
Krose, B.J.A.
Intelligent Autonomous Syst., Amsterdam Univ., Netherlands;
Abstract
The paper presents a novel method for online tracking of multiple objects with non-overlapping cameras. The method is based on a generative model defining probabilistic dependencies between observations, the underlying color properties of objects and their dynamics. It allows for a full Bayesian inference of trajectories. We developed an online algorithm for efficient, approximate inference and we demonstrate it to be accurate in an office environment.
Index
Terms
Available to subscribers and IEEE members.
References
Available to subscribers and IEEE members.
Citing Documents
Available to subscribers and IEEE members.
Cart
