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Generalizations of the auxiliary particle filter for multiple target tracking

dc.contributor.authorÚbeda-Medina, L.
dc.contributor.authorGarcia Fernandez, Angel
dc.contributor.authorGrajal, J.
dc.date.accessioned2017-04-28T13:57:05Z
dc.date.available2017-04-28T13:57:05Z
dc.date.created2017-04-28T09:06:06Z
dc.date.issued2014
dc.identifier.citationÚbeda-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).
dc.identifier.urihttp://hdl.handle.net/20.500.11937/51991
dc.description.abstract

© 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.
dc.titleGeneralizations of the auxiliary particle filter for multiple target tracking
dc.typeConference Paper
dcterms.source.titleFUSION 2014 - 17th International Conference on Information Fusion
dcterms.source.seriesFUSION 2014 - 17th International Conference on Information Fusion
dcterms.source.isbn9788490123553
dcterms.source.conference17th International Conference on Information Fusion (FUSION)
curtin.departmentDepartment of Electrical and Computer Engineering
curtin.accessStatusFulltext not available


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