This paper considers the problem of tracking a target using measurements where the temporal information is noisy or unreliable. The measurements are modelled as being received with a known stochastic time delay and also with time error parameters that are to be estimated. By treating the true measurement time as missing data and using expectation maximisation, a modified version of the probabilistic multihypothesis tracker (PMHT) is derived for the uncertain-timing problem. This modified PMHT thus associates each measurement to the targets and to time instants. The method is validated using simulations, and the improvement over the standard PMHT is quantified. Further simulations compare the algorithm with existing alternatives dealing with timing uncertainty.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    PMHT with timing uncertainty


    Contributors:


    Publication date :

    2014-10-01


    Size :

    950373 byte




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English



    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


    PMHT with the True Association Probability

    Dunham, Darin T. | IEEE | 2007


    The pedestrian PMHT

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


    PMHT: problems and some solutions

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