Object tracking using adaptive colour mixture models

Stephen J. McKenna (Lead / Corresponding author), Yogesh Raja (Lead / Corresponding author), Shaogang Gong (Lead / Corresponding author)

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    24 Citations (Scopus)

    Abstract

    The use of adaptive Gaussian mixtures to model the colour distributions of objects is described. These models are used to perform robust, real-time tracking under varying illumination, viewing geometry and camera parameters. Observed log-likelihood measurements were used to perform selective adaptation.
    Original languageEnglish
    Title of host publicationComputer Vision — ACCV'98
    Subtitle of host publicationThird Asian Conference on Computer Vision Hong Kong, China, January 8–10, 1998 Proceedings
    EditorsRoland Chin, Ting-Chuen Pong
    Place of PublicationBerlin
    PublisherSpringer
    Pages615-622
    Number of pages8
    Volume1
    ISBN (Electronic)9783540696698
    ISBN (Print)9783540639305
    DOIs
    Publication statusPublished - 1998
    Event3rd Asian Conference on Computer Vision - Hong Kong University of Science & Technology (HKUST), Hong Kong, Hong Kong
    Duration: 8 Jan 199810 Jan 1998
    http://www.cse.ust.hk/accv98/

    Publication series

    NameLecture notes in computer science
    PublisherSpringer
    Volume1351
    ISSN (Print)0302-9743

    Conference

    Conference3rd Asian Conference on Computer Vision
    Abbreviated titleACCV'98
    CountryHong Kong
    CityHong Kong
    Period8/01/9810/01/98
    Internet address

    Fingerprint

    geometry
    parameter
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    Cite this

    McKenna, S. J., Raja, Y., & Gong, S. (1998). Object tracking using adaptive colour mixture models. In R. Chin, & T-C. Pong (Eds.), Computer Vision — ACCV'98: Third Asian Conference on Computer Vision Hong Kong, China, January 8–10, 1998 Proceedings (Vol. 1, pp. 615-622). (Lecture notes in computer science; Vol. 1351). Berlin: Springer . https://doi.org/10.1007/3-540-63930-6_174
    McKenna, Stephen J. ; Raja, Yogesh ; Gong, Shaogang. / Object tracking using adaptive colour mixture models. Computer Vision — ACCV'98: Third Asian Conference on Computer Vision Hong Kong, China, January 8–10, 1998 Proceedings. editor / Roland Chin ; Ting-Chuen Pong. Vol. 1 Berlin : Springer , 1998. pp. 615-622 (Lecture notes in computer science).
    @inproceedings{a13f1ce4061e4d3b852ed8e46255fec5,
    title = "Object tracking using adaptive colour mixture models",
    abstract = "The use of adaptive Gaussian mixtures to model the colour distributions of objects is described. These models are used to perform robust, real-time tracking under varying illumination, viewing geometry and camera parameters. Observed log-likelihood measurements were used to perform selective adaptation.",
    author = "McKenna, {Stephen J.} and Yogesh Raja and Shaogang Gong",
    year = "1998",
    doi = "10.1007/3-540-63930-6_174",
    language = "English",
    isbn = "9783540639305",
    volume = "1",
    series = "Lecture notes in computer science",
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    pages = "615--622",
    editor = "Chin, {Roland } and Pong, {Ting-Chuen }",
    booktitle = "Computer Vision — ACCV'98",

    }

    McKenna, SJ, Raja, Y & Gong, S 1998, Object tracking using adaptive colour mixture models. in R Chin & T-C Pong (eds), Computer Vision — ACCV'98: Third Asian Conference on Computer Vision Hong Kong, China, January 8–10, 1998 Proceedings. vol. 1, Lecture notes in computer science, vol. 1351, Springer , Berlin, pp. 615-622, 3rd Asian Conference on Computer Vision , Hong Kong, Hong Kong, 8/01/98. https://doi.org/10.1007/3-540-63930-6_174

    Object tracking using adaptive colour mixture models. / McKenna, Stephen J. (Lead / Corresponding author); Raja, Yogesh (Lead / Corresponding author); Gong, Shaogang (Lead / Corresponding author).

    Computer Vision — ACCV'98: Third Asian Conference on Computer Vision Hong Kong, China, January 8–10, 1998 Proceedings. ed. / Roland Chin; Ting-Chuen Pong. Vol. 1 Berlin : Springer , 1998. p. 615-622 (Lecture notes in computer science; Vol. 1351).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    TY - GEN

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    AU - Raja, Yogesh

    AU - Gong, Shaogang

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    AB - The use of adaptive Gaussian mixtures to model the colour distributions of objects is described. These models are used to perform robust, real-time tracking under varying illumination, viewing geometry and camera parameters. Observed log-likelihood measurements were used to perform selective adaptation.

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    DO - 10.1007/3-540-63930-6_174

    M3 - Conference contribution

    SN - 9783540639305

    VL - 1

    T3 - Lecture notes in computer science

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    A2 - Chin, Roland

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    CY - Berlin

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    McKenna SJ, Raja Y, Gong S. Object tracking using adaptive colour mixture models. In Chin R, Pong T-C, editors, Computer Vision — ACCV'98: Third Asian Conference on Computer Vision Hong Kong, China, January 8–10, 1998 Proceedings. Vol. 1. Berlin: Springer . 1998. p. 615-622. (Lecture notes in computer science). https://doi.org/10.1007/3-540-63930-6_174