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    Multi-Bernoulli based track-before-detect with road constraints

    Access Status
    Fulltext not available
    Authors
    Wong, J.
    Vo, Ba Tuong
    Vo, Ba-Ngu
    Hoseinnezhad, R.
    Date
    2012
    Type
    Conference Paper
    
    Metadata
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    Citation
    Wong, J. and Vo, B.T. and Vo, B. and Hoseinnezhad, R. 2012. Multi-Bernoulli based track-before-detect with road constraints, in 15th International Conference on Information Fusion, Jul 9-12 2012, pp. 840-846. Singapore: IEEE.
    Source Title
    Proceedings of the 15th International Conference on Information Fusion
    Source Conference
    2012 15th International Conference on Information Fusion
    URI
    http://hdl.handle.net/20.500.11937/35786
    Collection
    • Curtin Research Publications
    Abstract

    The random set based multi-Bernoulli filter is applied to a challenging low signal to noise track before detect scenario. Specifically we use the variant of the multi-Bernoulli filter that processes raw image observations. We add an additional layer of track management logic to output trajectories rather than point estimates. The tracker also exploits additional road map information by integrating the roads into the filtering likelihood. We show that this approach of using the image observation MeMBer filter with track management and road constrained model can yield an effective tracker for track before detect scenarios.

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