The anomaly in the displacement estimates obtained from a low-level Kalman-based average displacement estimator is used to detect multiple targets in a forward-looking infrared (FLIR) scene. The displacement estimates originating from the targets could be associated with the detected multiple targets and an updated estimated position of the target could be obtained. This procedure could be repeated for all targets in the scene to obtain multitarget tracking. The behavior of the expected value of the displacement estimates as a function of the number of iterations is investigated. The behavior of the displacement error covariance matrix and the Kalman gain matrix are discussed as functions of the number of iterations.<>


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Multitarget detection using Kalman-based average displacement estimator


    Beteiligte:
    Viswanath, H.C. (Autor:in) / Jones, R.A. (Autor:in)


    Erscheinungsdatum :

    01.10.1993


    Format / Umfang :

    1222113 byte




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




    Multitarget detection using Kalman-based average displacement estimator

    Viswanath, H.C. / Jones, R.A. | Tema Archiv | 1993




    Kalman-Gain Aided Particle PHD Filter for Multitarget Tracking

    Daniyan, Abdullahi / Yu Gong / Lambotharan, Sangarapillai et al. | IEEE | 2017

    Freier Zugriff