A structured mean field approach for existence-based multiple target tracking

Roslyn A. Lau, Jason L. Williams

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    16 Citations (Scopus)

    Abstract

    A challenge of multiple target tracking is that targets appear and disappear without notice. To overcome this difficulty, we propose a joint estimation algorithm, Structured Mean Field Existence-based Tracker (SMFET), that infers not only the states of targets but also the existence of targets. SMFET is related to Joint Integrated Probabilistic Data Association (JIPDA) through their existence model. Although JIPDA is effective in the presence of false alarms and missed detections, the algorithm suffers from track coalescence. Unlike JIPDA, our algorithm avoids track coalescence, which we demonstrate through simulations containing a varying number of closely spaced targets. Results show SMFET to be tractable with accuracy that rivals JIPDA.

    Original languageEnglish
    Title of host publicationFUSION 2016 - 19th International Conference on Information Fusion, Proceedings
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    Pages1111-1118
    Number of pages8
    ISBN (Electronic)9780996452748
    Publication statusPublished - 1 Aug 2016
    Event19th International Conference on Information Fusion, FUSION 2016 - Heidelberg, Germany
    Duration: 5 Jul 20168 Jul 2016

    Publication series

    NameFUSION 2016 - 19th International Conference on Information Fusion, Proceedings

    Conference

    Conference19th International Conference on Information Fusion, FUSION 2016
    Country/TerritoryGermany
    CityHeidelberg
    Period5/07/168/07/16

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