Probabilistic multiple face detection and tracking using entropy measures

dc.contributor.authorLoutas, E.en
dc.contributor.authorPitas, I.en
dc.contributor.authorNikou, C.en
dc.date.accessioned2015-11-24T17:00:45Z
dc.date.available2015-11-24T17:00:45Z
dc.identifier.issn1051-8215-
dc.identifier.urihttps://olympias.lib.uoi.gr/jspui/handle/123456789/10809
dc.rightsDefault Licence-
dc.subjectGaussian processesen
dc.subjectface recognitionen
dc.subjectimage sequencesen
dc.subjectobject detectionen
dc.subjectoptical trackingen
dc.subjectparameter estimationen
dc.subjectprobabilityen
dc.subjectGaussian temporal modelen
dc.subjectentropy measuresen
dc.subjectfeature point setsen
dc.subjectillumination changesen
dc.subjectlikelihood estimationen
dc.subjectmultiple face detectionen
dc.subjectmultiple face trackingen
dc.subjectpartial occlusionen
dc.subjectprior probability estimationen
dc.subjectprobabilistic face detectionen
dc.subjectprobabilistic face trackingen
dc.subjectstatistical trainingen
dc.titleProbabilistic multiple face detection and tracking using entropy measuresen
heal.abstractA joint probabilistic face detection and tracking algorithm, combining likelihood estimation and a prior probability, is proposed. The likelihood estimation scheme is based on the statistical training of sets of automatically generated feature points and a mutual information tracking cue, while the prior probability estimation is based on a Gaussian temporal model. The likelihood estimation process is the core of a multiple face detection scheme used to initialize the tracking process. The resulting system has been tested on real image sequences and is robust to significant partial occlusion and illumination changes.en
heal.accesscampus-
heal.fullTextAvailabilityTRUE-
heal.identifier.primary10.1109/tcsvt.2003.819178-
heal.journalNameCircuits and Systems for Video Technology, IEEE Transactions onen
heal.journalTypepeer reviewed-
heal.languageen-
heal.publicationDate2004-
heal.recordProviderΠανεπιστήμιο Ιωαννίνων. Σχολή Θετικών Επιστημών. Τμήμα Μηχανικών Ηλεκτρονικών Υπολογιστών και Πληροφορικήςel
heal.typejournalArticle-
heal.type.elΆρθρο Περιοδικούel
heal.type.enJournal articleen

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