Multi-cue facial feature detection and tracking

Jingying Chen, Bernard Paul Tiddeman

    Research output: Chapter in Book/Report/Conference proceedingConference Proceeding (Non-Journal item)

    4 Citations (Scopus)


    An efficient and robust facial feature detection and tracking system is presented in this paper. The system is capable of locating a human face automatically. Six facial feature points (pupils, nostrils and mouth corners) are detected and tracked using multiple cues including facial feature intensity and its probability distribution, geometric characteristics and motion information. In addition, in order to improve the robustness of the tracking system, a simple facial feature model is employed to estimate the relative face poses. This system has the advantage of automatically detecting the facial features and recovering the features lost during the tracking process. Encouraging results have been obtained using the proposed system.
    Original languageEnglish
    Title of host publication3rd International Conference, ICISP 2008
    EditorsAbderrahim Elmoataz, Olivier Lezoray, Fathallah Nouboud, Driss Mammass
    PublisherSpringer Nature
    Number of pages12
    ISBN (Print)978-3-540-69904-0
    Publication statusPublished - 01 Jul 2008
    EventProceedings of the 3rd International Conference, ICISP 2008 - Cherbourg-Octeville, France
    Duration: 01 Jul 200803 Jul 2008

    Publication series

    NameLecture Notes in Computer Science
    ISSN (Print)0302-9743


    ConferenceProceedings of the 3rd International Conference, ICISP 2008
    Period01 Jul 200803 Jul 2008


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