Colour model selection and adaptation in dynamic scenes

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

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

    59 Citations (Scopus)

    Abstract

    We use colour mixture models for real-time colour-based object localisation, tracking and segmentation in dynamic scenes. Within such a framework, we address the issues of model order selection, modelling scene background and model adaptation in time. Experimental results are given to demonstrate our approach in different scale and lighting conditions
    Original languageEnglish
    Title of host publicationComputer Vision — ECCV'98
    Subtitle of host publication5th European Conference on Computer Vision Freiburg, Germany, June, 2–6, 1998 Proceedings
    EditorsHans Burkhardt, Bernd Neumann
    Place of PublicationBerlin
    PublisherSpringer
    Pages460-474
    Number of pages15
    Volume1
    ISBN (Electronic)9783540693543
    ISBN (Print)9783540645696
    DOIs
    Publication statusPublished - 1998
    Event5th European Conference on Computer Vision - Freiburg, Germany
    Duration: 2 Jun 19986 Jun 1998

    Publication series

    NameLecture notes in computer science
    PublisherSpringer
    Volume1406
    ISSN (Print)0302-9743

    Conference

    Conference5th European Conference on Computer Vision
    Abbreviated titleECCV'98
    CountryGermany
    CityFreiburg
    Period2/06/986/06/98

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  • Cite this

    Raja, Y., McKenna, S. J., & Gong, S. (1998). Colour model selection and adaptation in dynamic scenes. In H. Burkhardt, & B. Neumann (Eds.), Computer Vision — ECCV'98: 5th European Conference on Computer Vision Freiburg, Germany, June, 2–6, 1998 Proceedings (Vol. 1, pp. 460-474 ). (Lecture notes in computer science; Vol. 1406). Springer . https://doi.org/10.1007/BFb0055684