The probabilistic multihypothesis tracker (PMHT) is a target tracking algorithm of considerable theoretical elegance. In practice, its performance turns out to be at best similar to that of the probabilistic data association filter (PDAF); and since the implementation of the PDAF is less intense numerically the PMHT has been having a hard time finding acceptance. The PMHT's problems of nonadaptivity, narcissism, and over-hospitality to clutter are elicited in this work. The PMHT's main selling-point is its flexible and easily modifiable model, which we use to develop the "homothetic" PMHT; maneuver-based PMHTs, including those with separate and joint homothetic measurement models; a modified PMHT whose measurement/target association model is more similar to that of the PDAF; and PMHTs with eccentric and/or estimated measurement models. Ideally, "bottom line" would be a version of the PMHT with clear advantages over existing trackers. If the goal is of an accurate (in terms of mean square error (MSE)) track, then there are a number of versions for which this is available.


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    Title :

    PMHT: problems and some solutions


    Contributors:
    Willett, P. (author) / Ruan, Y. (author) / Streit, R. (author)


    Publication date :

    2002


    Size :

    17 Seiten, 23 Quellen




    Type of media :

    Article (Journal)


    Type of material :

    Print


    Language :

    English




    PMHT: problems and some solutions

    Willett, P. / Ruan, Y. / Streit, R. | IEEE | 2002


    PMHT: Problems and Some Solutions

    Willett, P. | Online Contents | 2002


    The turbo PMHT

    Yanhua Ruan, / Willett, P. | IEEE | 2004


    The Pedestrian PMHT

    Efe, M. / Willett, P. / International Society of Information Fusion et al. | British Library Conference Proceedings | 2002


    The pedestrian PMHT

    Efe, M. / Ruan, Y. / Willett, P. | IEEE | 2002