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Bayesian Networks and Probabilistic Data Association Methods for Multi-Object Tracking: Application to Road Safety

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4 Author(s)
Jida, B. ; LASL, Univ. du Littoral Cote d''Opale, Calais ; Lherbier, R. ; Wahl, M. ; Noyer, J.-C.

This paper presents a Bayesian network-based approach to multisensor multitarget detection and tracking problem. The aim here is to propose an improvement of the probabilistic data association approach that takes into account contextual information about the scene. This information is modeled by a Bayesian network that allows a dynamic estimation of the detection probability of the PDA. Our approach is then applied to synthetic data from scanning radar that is mounted on a moving vehicle. The aim is to detect the surrounding objects and track them through the sequence.

Published in:

Information and Communication Technologies: From Theory to Applications, 2008. ICTTA 2008. 3rd International Conference on

Date of Conference:

7-11 April 2008

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