Recognition of Human Facial Expression in a Video Image using the Active Appearance Model


Gyeong-Sic Jo, Yong-Guk Kim, Journal of Information Processing Systems Vol. 6, No. 2, pp. 261-268, Apr. 2010  

10.3745/JIPS.2010.6.2.261
Keywords: Active Appearance Model, Facial Expression Recognition, Image Alignment Method
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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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Cite this article
[APA Style]
Gyeong-Sic Jo and Yong-Guk Kim (2010). Recognition of Human Facial Expression in a Video Image using the Active Appearance Model. Journal of Information Processing Systems, 6(2), 261-268. DOI: 10.3745/JIPS.2010.6.2.261.

[IEEE Style]
G. Jo and Y. Kim, "Recognition of Human Facial Expression in a Video Image using the Active Appearance Model," Journal of Information Processing Systems, vol. 6, no. 2, pp. 261-268, 2010. DOI: 10.3745/JIPS.2010.6.2.261.

[ACM Style]
Gyeong-Sic Jo and Yong-Guk Kim. 2010. Recognition of Human Facial Expression in a Video Image using the Active Appearance Model. Journal of Information Processing Systems, 6, 2, (2010), 261-268. DOI: 10.3745/JIPS.2010.6.2.261.