This study is concerned with multi-target tracking (MTT). The Cramer-Rao lower bound (CRB) is the basic tool for investigating estimation performance. Though basically defined for estimation of deterministic parameters, it has been extended to stochastic ones in a Bayesian setting. In the target tracking area, we have thus to deal with the estimation of the whole trajectory, itself described by a Markovian model. This leads up to the recursive formulation of the posterior CRB (PCRB). The aim of the work presented here is to extend this calculation of the PCRB to MTT under various assumptions.


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    Title :

    Posterior Cramer-Rao bounds for multi-target tracking


    Contributors:
    Hue, C. (author) / Le Cadre, J.-P. (author) / Perez, P. (author)


    Publication date :

    2006-01-01


    Size :

    658188 byte




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English