Fuzzy emotion recognition model for video sequences

Research output: Chapter in Book/Report/Conference proceedingChapter (peer-reviewed)peer-review

Colleges, School and Institutes

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.

Details

Original languageEnglish
Title of host publicationImage Processing Theory, Tools and Applications (IPTA), 2012 3rd International Conference on
Publication statusPublished - Oct 2012
Event2012 3rd International Conference on Image Processing Theory, Tools and Applications (IPTA) - Istanbul, Turkey, United Kingdom
Duration: 15 Oct 201218 Oct 2012

Conference

Conference2012 3rd International Conference on Image Processing Theory, Tools and Applications (IPTA)
CountryUnited Kingdom
Period15/10/1218/10/12