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dc.contributor.author Zwiggelaar, R.
dc.contributor.author Ugail, H.
dc.contributor.author Yap, M. H.
dc.date.accessioned 2012-10-16T10:40:38Z
dc.date.available 2012-10-16T10:40:38Z
dc.date.issued 2012-10-16
dc.identifier.citation Zwiggelaar , R , Ugail , H & Yap , M H 2012 , ' Intensity Score for Facial Actions Detection in Near-Frontal-View Face Sequences ' pp. 3-5 . en
dc.identifier.other PURE: 176330
dc.identifier.other dspace: 2160/7885
dc.identifier.uri http://hdl.handle.net/2160/7885
dc.description Yap, M. H., Ugail, H., Zwiggelaar, R. (2012). Intensity Score for Facial Actions Detection in Near-Frontal-View Face Sequences, Computer and Communication Engineering (ICCCE) 2012 International Conference, Kuala Lumpur, Malaysia, 3-5 July 2012, p. 819-824 Computer and Communication Engineering (ICCCE) 2012 International Conference, Kuala Lumpur, Malaysia, 3-5 July 2012 en
dc.description.abstract this paper proposes a method to detect the facial Action Units (AUs) and introduce an automatic measurement in predicting the intensity scores of each AU in near-to-frontal face image sequences. To our knowledge, this is the first attempt in computer vision to automate the intensity scores of facial expression research. First, the facial feature points are detected by using Gabor feature based boosted classifiers and the movement of each point is tracked by optical flow. Then, we introduce a set of distance measurement for the feature points and analyze the distances by using Sequence Analysis. Further, we exploit the sequence partition to predict the possible temporal segments in the sequence. We found there is a relationship between the intensity scores and the partition threshold, which we automated the process of threshold selection in our work. We tested the proposed prototype with our in-house dataset and MMI database. Finally, we discuss the result, the possibilities of further research, and the next challenges for computer vision scientist in facial actions detection. en
dc.format.extent 3 en
dc.language.iso eng
dc.relation.ispartof en
dc.title Intensity Score for Facial Actions Detection in Near-Frontal-View Face Sequences en
dc.type Text en
dc.type.publicationtype Conference paper en
dc.contributor.institution Department of Computer Science en
dc.contributor.institution Vision, Graphics and Visualisation Group en
dc.description.status Non peer reviewed en


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