Journal of Information Processing Systems

Korea Information Processing Society (한국정보처리학회)
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Recognition of Human Facial Expression in a Video Image using the Active Appearance Model

  • Received : 2010.03.03
  • Accepted : 2010.03.24
  • Published : 2010.06.30
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Abstract

Tracking human facial expression within a video image has many useful applications, such as surveillance and teleconferencing, etc. Initially, the Active Appearance Model (AAM) was proposed for facial recognition; however, it turns out that the AAM has many advantages as regards continuous facial expression recognition. We have implemented a continuous facial expression recognition system using the AAM. In this study, we adopt an independent AAM using the Inverse Compositional Image Alignment method. The system was evaluated using the standard Cohn-Kanade facial expression database, the results of which show that it could have numerous potential applications.

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References

  1. Matthews, I., Baker, S., Active Appearance Models Revisited, International Journal of Computer Vision, pp.135-164, 2004. https://doi.org/10.1023/B:VISI.0000029666.37597.d3
  2. Edwards, G.J., Taylor, C.J., and Cootes, T.F., Interpreting Face Images using Active Appearance Models, In Proc. of the International Conference on Automatic Face and Gesture Recognition, pp.300-305, June, 1998.
  3. Lucas, B., and Kanade, T., An iterative image registration technique and its application to stereo vision, In Proc. of the International Joint Conference on Artificial Intelligence, pp.674-679, 1981.

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