An overall methodology is described for the application of a multiple hypothesis tracking (MHT) algorithm to the infrared (IR) surveillance system problem of establishing tracks on dim targets in a heavy clutter or false alarm background. The authors discuss the manner in which the detection and tracking systems are jointly designed to optimize performance. They present approximate methods that can conveniently be used for preliminary system design and performance prediction. They discuss the use of a detailed Monte Carlo simulation for final system evaluation and present results illustrating the proposed methods and comparing predicted and simulation performance.<>


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Multiple hypothesis track confirmation for infrared surveillance systems


    Beteiligte:
    Blackman, S.S. (Autor:in) / Dempster, R.J. (Autor:in) / Broida, T.J. (Autor:in)


    Erscheinungsdatum :

    01.07.1993


    Format / Umfang :

    1147222 byte




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




    Addressing Track Hypothesis Coalescence in Sequential $K$-Best Multiple Hypothesis Tracking

    Palkki, Ryan D. / Lanterman, Aaron D. / Blair, W. Dale | IEEE | 2011




    SPRT-Based Track Confirmation and Rejection

    Li, X. R. / Li, N. / Jilkov, V. et al. | British Library Conference Proceedings | 2002