Application of the IMM-JPDA filter to multiple target tracking in total internal reflection fluorescence microscopy images

Seyed Hamid Rezatofighi, Stephen Gould, Richard Hartley, Katarina Mele, William E. Hughes

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

    14 Citations (Scopus)

    Abstract

    We propose a multi-target tracking method using an Interacting Multiple Model Joint Probabilistic Data Association (IMM-JPDA) filter for tracking vesicles in Total Internal Reflection Fluorescence Microscopy (TIRFM) sequences. We enhance the accuracy and reliability of the algorithm by tailoring an appropriate framework to this application. Evaluation of our algorithm is performed on both realistic synthetic data and real TIRFM data. Our results are compared against related methods and a commercial tracking software.

    Original languageEnglish
    Title of host publicationMedical Image Computing and Computer-Assisted Intervention, MICCAI2012 - 15th International Conference, Proceedings
    EditorsNicholas Ayache, Herve Delingette, Polina Golland, Kensaku Mori
    PublisherSpringer Verlag
    Pages357-364
    Number of pages8
    ISBN (Print)9783642334146
    DOIs
    Publication statusPublished - 2012
    Event15th International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2012 - Nice, France
    Duration: 1 Oct 20125 Oct 2012

    Publication series

    NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    Volume7510 LNCS
    ISSN (Print)0302-9743
    ISSN (Electronic)1611-3349

    Conference

    Conference15th International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2012
    Country/TerritoryFrance
    CityNice
    Period1/10/125/10/12

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