Multi-target tracking is intrinsically an NP-hard problem and the complexity of multi-target tracking solutions usually do not scale gracefully with problem size. Multi-target tracking for on-line applications involving a large number of targets is extremely challenging. This article demonstrates the capability of the random finite set approach to provide large scale multi-target tracking algorithms. In particular it is shown that an approximate filter known as the labeled multi-Bernoulli filter can simultaneously track one thousand five hundred targets in clutter on a standard laptop computer.


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    Titel :

    Towards large scale multi-target tracking


    Beteiligte:
    Vo, Ba-Ngu (Autor:in) / Vo, Ba-Tuong (Autor:in) / Reuter, Stephan (Autor:in) / Lam, Quang (Autor:in) / Dietmayer, Klaus (Autor:in)

    Kongress:

    Sensors and Systems for Space Applications VII ; 2014 ; Baltimore,Maryland,USA


    Erschienen in:

    Erscheinungsdatum :

    03.06.2014





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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