Tracking and segmenting people in varying lighting conditions using colour

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

    141 Citations (Scopus)

    Abstract

    Colour cues were used to obtain robust detection and tracking of people in relatively unconstrained dynamic scenes. Gaussian mixture models were used to estimate probability densities of colour for skin, clothing and background. These models were used to detect, track and segment people, faces and hands. A technique for dynamically updating the models to accommodate changes in apparent colour due to varying lighting conditions was used. Two applications are highlighted: (1) actor segmentation for virtual studios, and (2) focus of attention for face and gesture recognition systems. A system implemented on a 200 MHz PC tracks multiple objects in real time
    Original languageEnglish
    Title of host publicationThird IEEE International Conference on Automatic Face and Gesture Recognition
    Subtitle of host publicationProceedings
    Place of PublicationPiscataway, NJ
    PublisherIEEE
    Pages228-233
    Number of pages6
    ISBN (Print)0818683449
    DOIs
    Publication statusPublished - 1998
    Event3rd IEEE International Conference on Automatic Face and Gesture Recognition - New Public Hall, Nara, Japan
    Duration: 14 Apr 199816 Apr 1998

    Conference

    Conference3rd IEEE International Conference on Automatic Face and Gesture Recognition
    Abbreviated titleFG'98
    CountryJapan
    CityNara
    Period14/04/9816/04/98

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