Segment and Browse: A Strategy for Supporting Human Monitoring of Facial Expression Behaviour

  • Michael J. Lyons
  • Mathias Funk
  • Kazuhiro Kuwabara
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3585)


We describe a system to ease long-term human monitoring of mood via facial expressions. Video images are processed in real-time to isolate the area of the face and record facial expressions. Optic flow is used to annotate motion of the face. A simple-to-use browser is used to navigate the facial expression record. A preliminary evaluation of both components is reported.


Facial Expression Facial Image Face Detection Optic Flow Field Block Correlation 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© IFIP International Federation for Information Processing 2005

Authors and Affiliations

  • Michael J. Lyons
    • 1
  • Mathias Funk
    • 1
  • Kazuhiro Kuwabara
    • 1
  1. 1.ATR Intelligent Robotics & Communication LaboratoriesKyotoJapan

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