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Fully automated recognition of spontaneous facial expressions in videos using random forest classifiers

contributor authorAbd El Meguid, Mostafa K.
contributor authorLevine, Martin D.
date accessioned2020-03-12T23:58:24Z
date available2020-03-12T23:58:24Z
date issued2014
identifier issn1949-3045
identifier other6798723.pdf
identifier urihttps://libsearch.um.ac.ir:443/fum/handle/fum/1129940?locale-attribute=en&show=full
formatgeneral
languageEnglish
publisherIEEE
titleFully automated recognition of spontaneous facial expressions in videos using random forest classifiers
typeJournal Paper
contenttypeMetadata Only
identifier padid8310360
subject keywordsdecision trees
subject keywordsface recognition
subject keywordsimage classification
subject keywordssupport vector machines
subject keywordsvideo databases
subject keywordsvideo signal processing
subject keywordsacted still-image Binghamton University 3D facial expression database
subject keywordsface detector
subject keywordsfully automated comprehensive facial expression classification framework
subject keywordsfully automated spontaneous facial expression recognition
subject keywordsimaging conditions
subject keywordsrandom forest classifiers
subject keywordsspontaneous expression-labelled video databases
subject keywordssupport vector machine labellers
subject keywordsDatabases
subject keywordsFace
subject keywordsFace recogn
identifier doi10.1109/TAFFC.2014.2317711
journal titleAffective Computing, IEEE Transactions on
journal volume5
journal issue2
filesize1706785
citations1


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