Abstract
In this paper, a new motion based person-independent fully Automatic Facial Expression Recognition system is introduced. The system uses gradient based optical flow for muscle movement estimation from video. Decision tree generated rule base is used for recognition purpose. The performance of the system is validated by human psycho-visual judgment.
Keywords
- Basic facial expression recognition system
- Gradient based optical flow
- Decision tree
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chandrani.saha@cdac.in
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© 2012 Springer-Verlag Berlin Heidelberg
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Saha, C., Ahmed, W., Mitra, S. (2012). A New Motion Based Fully Automatic Facial Expression Recognition System. In: Kundu, M.K., Mitra, S., Mazumdar, D., Pal, S.K. (eds) Perception and Machine Intelligence. PerMIn 2012. Lecture Notes in Computer Science, vol 7143. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-27387-2_19
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DOI: https://doi.org/10.1007/978-3-642-27387-2_19
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-27386-5
Online ISBN: 978-3-642-27387-2
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