Robust multi-clue face tracking system

Y. Cao, Xin Wei, Li Zhao, Riccardo Di Federico

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    Abstract

    In this paper we present a multi-clue face tracking system, based on the combination of a face detector and two independent trackers. The detector, a variant of the Viola-Jones algorithm, is set to generate very low false positive error rate. It initiates the tracking system and updates its state. The trackers, based on 3DRS and optical flow respectively, have been chosen to complement each other in different conditions. The main focus of this work is the integration of the two trackers and the design of a closed loop detector-tracker system, aiming at achieving superior robustness at real-time operation on a PC platform. Tests were carried out to assess the actual performance of the system. With an average of about 95% correct face location rate and no significant false positives, the proposed approach appears to be particularly robust to complex backgrounds, ambient light variation, face orientation and scale changes, partial occlusions, different facial expressions and presence of other unwanted faces.
    Original languageUndefined
    Title of host publicationWRI Global Congress on Intelligent Systems, GCIS2009
    EditorsShang-Ming Zhou, Wenwu Wang
    Place of PublicationLos Alamitos
    PublisherIEEE Computer Society
    Pages513-517
    Number of pages5
    ISBN (Print)978-0-7695-3571-5
    DOIs
    Publication statusPublished - 19 May 2009

    Publication series

    Name
    PublisherIEEE Computer Society Press

    Keywords

    • METIS-263937
    • EWI-15750
    • HMI-CI: Computational Intelligence
    • IR-67539

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