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dc.contributor.authorel Kaliouby, Rana
dc.contributor.authorMikhail, Mina
dc.date.accessioned2010-11-17T18:39:12Z
dc.date.available2010-11-17T18:39:12Z
dc.date.issued2010-01
dc.date.submitted2009-11
dc.identifier.isbn978-1-4244-5655-0
dc.identifier.isbn978-1-4244-5653-6
dc.identifier.issn1522-4880
dc.identifier.otherINSPEC Accession Number: 11151115
dc.identifier.urihttp://hdl.handle.net/1721.1/60000
dc.description.abstractWith recent advances in machine vision, automatic detection of human expressions in video is becoming important especially because human labeling of videos is both tedious and error prone. In this paper, we present an approach for detecting facial expressions based on the Facial Action Coding System (FACS) in spontaneous videos. We present an automated system for detecting asymmetric eye open (AU41) and eye closed (AU43) actions. We use Gabor Jets to select distinctive features from the image and compare between three different classifiers-Bayesian networks, Dynamic Bayesian networks and Support Vector Machines-for classification. Experimental evaluation on a large corpus of spontaneous videos yielded an average accuracy of 98% for eye closed (AU43), and 92.75% for eye open (AU41).en_US
dc.language.isoen_US
dc.publisherInstitute of Electrical and Electronics Engineersen_US
dc.relation.isversionofhttp://dx.doi.org/10.1109/ICIP.2009.5414341en_US
dc.rightsArticle is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.en_US
dc.sourceIEEEen_US
dc.titleDetection of asymmetric eye action units in spontaneous videosen_US
dc.typeArticleen_US
dc.identifier.citationMikhail, M., and R. el Kaliouby. “Detection of asymmetric eye action units in spontaneous videos.” Image Processing (ICIP), 2009 16th IEEE International Conference on. 2009. 3557-3560. © 2010 IEEEen_US
dc.contributor.departmentMassachusetts Institute of Technology. Media Laboratoryen_US
dc.contributor.approverel Kaliouby, Rana
dc.contributor.mitauthorel Kaliouby, Rana
dc.relation.journal16th IEEE International Conference on Image Processing (ICIP), 2009en_US
dc.eprint.versionFinal published versionen_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dspace.orderedauthorsMikhail, Mina; Kaliouby, Rana elen
mit.licensePUBLISHER_POLICYen_US
mit.metadata.statusComplete


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