Abstract
Automatic facial expression recognition from video clips is a challenging task due to computational complexity, limitations of image analysis and subjectivity. This paper advocates a fuzzy based approach for emotion classification. On the other hand, several proposals have been put forward to enhance the pre-processing stage prior to the classification. This includes a combination of a boundary elliptical model for skin detection, adaptive thresholding, principal component analysis and use of cam-shift for face tracking. The performances of the developed system have been evaluated using TFEID and video clips and compared with Bayes' classifier.
Original language | English |
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Title of host publication | Image Processing Theory, Tools and Applications (IPTA), 2012 3rd International Conference on |
Pages | 127-132 |
DOIs | |
Publication status | Published - Oct 2012 |
Event | 2012 3rd International Conference on Image Processing Theory, Tools and Applications (IPTA) - Istanbul, Turkey, United Kingdom Duration: 15 Oct 2012 → 18 Oct 2012 |
Conference
Conference | 2012 3rd International Conference on Image Processing Theory, Tools and Applications (IPTA) |
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Country/Territory | United Kingdom |
Period | 15/10/12 → 18/10/12 |