Using Colour for Robust Tracking and Segmentation

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

    Research output: Chapter in Book/Report/Conference proceedingChapter

    Abstract

    We use colour mixture models for real-time colour-based object localisation, tracking and segmentation in dynamic scenes, motivated by applications such as virtual studios and recognition of human faces, gestures and actions. We address the issues of model order selection, modelling scene background and model adaptation in time. Experimental results are given to demonstrate our approach under varying viewing and lighting conditions.
    Original languageEnglish
    Title of host publicationNoblesse Workshop on Non-Linear Model Based Image Analysis
    Subtitle of host publicationProceedings of NMBIA
    EditorsStephen Marshall , Neal Richard Harvey , Druti Shah
    Place of PublicationLondon
    PublisherSpringer
    Pages199-204
    Number of pages6
    ISBN (Electronic)9781447115977
    ISBN (Print)9783540762584
    DOIs
    Publication statusPublished - 1998
    EventNoblesse Workshop on Non-Linear Model Based Image Analysis - Glasgow, United Kingdom
    Duration: 1 Jul 19983 Jul 1998

    Workshop

    WorkshopNoblesse Workshop on Non-Linear Model Based Image Analysis
    Abbreviated titleNMBIA
    CountryUnited Kingdom
    CityGlasgow
    Period1/07/983/07/98

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    Raja, Y., McKenna, S., & Gong, S. (1998). Using Colour for Robust Tracking and Segmentation. In S. Marshall , N. R. Harvey , & D. Shah (Eds.), Noblesse Workshop on Non-Linear Model Based Image Analysis: Proceedings of NMBIA (pp. 199-204). Springer . https://doi.org/10.1007/978-1-4471-1597-7_32