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    Generalizations of the auxiliary particle filter for multiple target tracking

    Access Status
    Fulltext not available
    Authors
    Úbeda-Medina, L.
    Garcia Fernandez, Angel
    Grajal, J.
    Date
    2014
    Type
    Conference Paper
    
    Metadata
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    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
    Source Conference
    17th International Conference on Information Fusion (FUSION)
    ISBN
    9788490123553
    School
    Department of Electrical and Computer Engineering
    URI
    http://hdl.handle.net/20.500.11937/51991
    Collection
    • Curtin Research Publications
    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.

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