Modelling facial colour and identity with Gaussian mixtures

Stephen J. McKenna, Shaogang Gong, Yogesh Raja

    Research output: Contribution to journalArticlepeer-review

    170 Citations (Scopus)


    An integrated system for the acquisition, normalisation and recognition of moving faces in dynamic scenes is introduced. Four face recognition tasks are defined and it is argued that modelling person-specific probability densities in a generic face space using mixture models provides a technique applicable to all four tasks. The use of Gaussian colour mixtures for face detection and tracking is also described. Results are presented using data from the integrated system.
    Original languageEnglish
    Pages (from-to)1883-1892
    Number of pages10
    JournalPattern Recognition
    Issue number12
    Publication statusPublished - 1 Dec 1998


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