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Next Generation Face Tracking Technology Using AAM Techniques

dc.contributor.authorCorcoran, Peteren
dc.contributor.authorIonita, Mircea C.en
dc.contributor.authorBacivarov, Ioanaen
dc.date.accessioned2011-02-18T09:53:11Zen
dc.date.available2011-02-18T09:53:11Zen
dc.date.issued2007en
dc.identifier.citationCorcoran, P., Ionita, M. C., & Bacivarov, I. (2007). Next Generation Face Tracking Technology Using AAM Techniques. Paper presented at the Signals, Circuits and Systems, 2007. ISSCS 2007. International Symposium on.en
dc.identifier.urihttp://hdl.handle.net/10379/1618en
dc.description.abstractThis paper realizes an investigation of the active appearance model (AAM) techniques, with particular emphasis on problems related to the implementation of AAM in realtime face tracking applications for embedded systems. The paper includes (a) new training and model construction approaches for AAMs with increased robustness to head pose variations and changes in the illumination conditions, and (b) a corresponding AAM-based face tracking scheme.en
dc.formatapplication/pdfen
dc.publisherIEEEen
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 Ireland
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/3.0/ie/
dc.subjectEmbedded systemsen
dc.subjectFace recognitionen
dc.subjectImage sequencesen
dc.subjectInference mechanismsen
dc.subjectPose estimationen
dc.subjectStatistical analysisen
dc.subjectTrackingen
dc.subjectElectrical and Electronic Engineeringen
dc.titleNext Generation Face Tracking Technology Using AAM Techniquesen
dc.typeConference Paperen
dc.local.publishedsourcehttp://ieeexplore.ieee.org/search/srchabstract.jsp?tp=&arnumber=4292639en
dc.description.peer-reviewedpeer-revieweden
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Except where otherwise noted, this item's license is described as Attribution-NonCommercial-NoDerivs 3.0 Ireland