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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    Title :

    Towards large scale multi-target tracking


    Contributors:
    Vo, Ba-Ngu (author) / Vo, Ba-Tuong (author) / Reuter, Stephan (author) / Lam, Quang (author) / Dietmayer, Klaus (author)

    Conference:

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


    Published in:

    Publication date :

    2014-06-03





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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