Segmentation and tracking using colour mixture models

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

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

    23 Citations (Scopus)


    A system is described that provides robust and real-time focus-of-attention for tracking and segmentation of multi-coloured objects. Gaussian mixture models were used to estimate the probability densities of object foreground and scene background colours. Tracking was performed by fitting dynamic bounding boxes to image regions of maximum probability. Two scenarios are presented: (1) real-time face tracking based upon a skin colour model and (2) dynamic body segmentation for virtual studios based upon combined foreground and background models
    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
    Number of pages8
    ISBN (Electronic)9783540696698
    ISBN (Print)9783540639305
    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

    Publication series

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


    Conference3rd Asian Conference on Computer Vision
    Abbreviated titleACCV'98
    Country/TerritoryHong Kong
    CityHong Kong
    Internet address


    Dive into the research topics of 'Segmentation and tracking using colour mixture models'. Together they form a unique fingerprint.

    Cite this