Generalizations of the auxiliary particle filter for multiple target tracking
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Authors
Úbeda-Medina, L.
Garcia Fernandez, Angel
Grajal, J.
Date
2014Collection
Type
Conference Paper
Metadata
Show full item recordAbstract
© 2014 International Society of Information Fusion.This paper introduces two generalizations of the celebrated auxiliary particle filter for multiple target tracking. The inherent difficulty of this problem is caused by the sampling of a high dimension state space, giving rise to the curse of dimensionality, which pulls down the performance of direct generalizations of single target particle filter algorithms. The two proposed particle filters are tested in a demanding multiple target scenario, exhibiting a considerable performance improvement with respect to previously reported algorithms of this type for multiple target tracking.
Citation
Úbeda-Medina, L. and Garcia Fernandez, A. and Grajal, J. 2014. Generalizations of the auxiliary particle filter for multiple target tracking, 17th International Conference on Information Fusion (FUSION).
Source Title
FUSION 2014 - 17th International Conference on Information Fusion
School
Department of Electrical and Computer Engineering
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