Fully Automatic Facial Action Recognition in Spontaneous Behavior

  • Authors:
  • Marian Stewart Bartlett;Gwen Littlewort;Mark Frank;Claudia Lainscsek1;Ian Fasel;Javier Movellan

  • Affiliations:
  • University of California, San Diego;University of California, San Diego;SUNY Buffalo;University of California, San Diego;University of California, San Diego;University of California, San Diego

  • Venue:
  • FGR '06 Proceedings of the 7th International Conference on Automatic Face and Gesture Recognition
  • Year:
  • 2006

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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.