Tracking colour objects using adaptive mixture models

Stephen J. McKenna, Yogesh Raja, Shaogang Gong

    Research output: Contribution to journalArticlepeer-review

    289 Citations (Scopus)

    Abstract

    The use of adaptive Gaussi an mixtures to mode the colour distributions of objects is described. These models are used to perform robust, real-time tracking under varying illumination, viewing geometry and camera parameters. Observed log-likelihood measurements were used to perform selective adaptation.
    Original languageEnglish
    Pages (from-to)225-231
    Number of pages7
    JournalImage and Vision Computing
    Volume17
    Issue number3-4
    DOIs
    Publication statusPublished - 1 Mar 1999

    Fingerprint Dive into the research topics of 'Tracking colour objects using adaptive mixture models'. Together they form a unique fingerprint.

    Cite this