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Fully automatic facial action recognition in spontaneous behavior

  • Marian Stewart Bartlett
  • , Gwen Littlewort
  • , Mark Frank
  • , Claudia Lainscsek
  • , Ian Fasel
  • , Javier Movellan
    • University of California at San Diego

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    248 Scopus citations

    Abstract

    We present results on a user independent fully automatic system for real time recognition of facial actions from the Facial Action Coding System (FACS). The system automatically detects frontal faces in the video stream and codes each frame with respect to 20 Action units. We present preliminary results on a task of facial action detection in spontaneous expressions during discourse. Support vector machines and AdaBoost classifiers are compared. For both classifiers, the output margin predicts action unit intensity.

    Original languageEnglish
    Title of host publicationFGR 2006
    Subtitle of host publicationProceedings of the 7th International Conference on Automatic Face and Gesture Recognition
    Pages223-230
    Number of pages8
    DOIs
    StatePublished - 2006
    EventFGR 2006: 7th International Conference on Automatic Face and Gesture Recognition - Southampton, United Kingdom
    Duration: Apr 10 2006Apr 12 2006

    Publication series

    NameFGR 2006: Proceedings of the 7th International Conference on Automatic Face and Gesture Recognition
    Volume2006

    Conference

    ConferenceFGR 2006: 7th International Conference on Automatic Face and Gesture Recognition
    Country/TerritoryUnited Kingdom
    CitySouthampton
    Period04/10/0604/12/06

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