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    Background agnostic CPHD tracking of dim targets in heavy clutter

    Access Status
    Fulltext not available
    Authors
    El-Fallah, A.
    Zatezalo, A.
    Mahler, Ronald
    Mehra, R.
    Pereira, W.
    Date
    2013
    Type
    Conference Paper
    
    Metadata
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    Citation
    El-Fallah, A. and Zatezalo, A. and Mahler, R. and Mehra, R. and Pereira, W. 2013. Background agnostic CPHD tracking of dim targets in heavy clutter.
    Source Title
    Proceedings of SPIE - The International Society for Optical Engineering
    DOI
    10.1117/12.2017994
    ISBN
    9780819495365
    School
    Department of Electrical and Computer Engineering
    URI
    http://hdl.handle.net/20.500.11937/55887
    Collection
    • Curtin Research Publications
    Abstract

    Detection and tracking of dim targets in heavy clutter environments is a daunting theoretical and practical problem. Application of the recently developed Background Agnostic Cardinalized Probability Hypothesis Density (BA-CPHD) filter provides a very promising approach that adequately addresses all the complexities and the nonlinear nature of this problem. In this paper, we present analysis, derivation, development, and application of a BA-CPHD implementation for tracking dim ballistic targets in environments with a range of unknown clutter rates, unknown clutter distribution, and unknown target probability of detection. The effectiveness and accuracy of the implemented algorithms are assessed and evaluated. Results that evaluate and also demonstrate the specific merits of the proposed approach are presented. © 2013 SPIE.

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