DocumentCode
419401
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
Volume
4
fYear
2004
fDate
23-26 Aug. 2004
Firstpage
339
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Pattern Recognition, 2004. ICPR 2004. Proceedings of the 17th International Conference on
ISSN
1051-4651
Print_ISBN
0-7695-2128-2
Type
conf
DOI
10.1109/ICPR.2004.1333772
Filename
1333772
Link To Document