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http://dx.doi.org/10.3745/JIPS.2010.6.2.261

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

Jo, Gyeong-Sic (Dept. of Computer Engineering, Sejong University)
Kim, Yong-Guk (Dept. of Computer Engineering, Sejong University)
Publication Information
Journal of Information Processing Systems / v.6, no.2, 2010 , pp. 261-268 More about this Journal
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.
Keywords
Active Appearance Model; Facial Expression Recognition; Image Alignment Method;
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