Title :
Online multicamera tracking with a switching state-space model
Author :
Zajdel, Wojciech ; Cemgil, A. Taylan ; Krose, Ben J A
Author_Institution :
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.
Keywords :
Bayes methods; object detection; target tracking; Bayesian inference; nonoverlapping cameras; office environment; online multicamera tracking; switching state-space model; Bayesian methods; Inference algorithms; Intelligent systems; Lighting; Monte Carlo methods; Sampling methods; Smart cameras; Space exploration; Statistics; Working environment noise;
Conference_Titel :
Pattern Recognition, 2004. ICPR 2004. Proceedings of the 17th International Conference on
Print_ISBN :
0-7695-2128-2
DOI :
10.1109/ICPR.2004.1333772
