In most multiple hypothesis tracking (MHT) implementations, the data association is solved using Murty's algorithm. However, since Murty's algorithm has no control over the diversity of measurement-to-track associations, often, the top associations vary only slightly. To overcome this problem and to provide more flexibility in the selection of hypotheses, a modified Murty's algorithm, which can achieve any user-defined (or adaptable) diversity of association of different types of tracks, is proposed.


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    Titel :

    Modified Murty's Algorithm for Diverse Multitarget Top Hypothesis Extraction


    Beteiligte:
    Xiaofan He (Autor:in) / Tharmarasa, R. (Autor:in) / Kirubarajan, T. (Autor:in) / Pelletier, M. (Autor:in)


    Erscheinungsdatum :

    01.01.2013


    Format / Umfang :

    1104764 byte




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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