- Bayesian Network for multiple hypthesis tracking
- Book/source title
- Proceedings of the 14th Dutch-Belgian Artificial Intelligence Conference, BNAIC' 02
- Pages (from-to)
- Leuven, Belgium: BNAIC' 02
- Document type
- Conference contribution
- Faculty of Science (FNWI)
- Informatics Institute (IVI)
For a flexible camera-to-camera tracking of multiple objects we model the objects behavior with a Bayesian network and combine it with the multiple hypohesis framework that associates observations with objects. Bayesian networks offer a possibility to factor complex, joint distributions into a product of intuitive conditional densities describing and predicting the objecs's path. Yet, these models do not distinquish unambiquously between the object's observations. The resulting uncertainty is explored by a multiple hypothesis evaluation. The paper provides emperimental evidence of the performance of the proposed method.
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