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Common mistakes on face recognition based on video

dc.contributor.authorDespiegel, Vincent
dc.contributor.authorGentric, Stéphane
dc.contributor.editorBrömme, Arslan
dc.contributor.editorBusch, Christoph
dc.date.accessioned2018-11-19T13:16:41Z
dc.date.available2018-11-19T13:16:41Z
dc.date.issued2012
dc.description.abstractAutomatic border control e gates relies on face recognition in video streams. Two family of methods could be imagined to define a common workflow: encode all that is possible or select the best image of the stream according to a quality assessment. In gates, giving an answer as soon as possible by encoding each and every possible image seems to lead to faster gates. Is it really the case?en
dc.identifier.isbn978-3-88579-290-1
dc.identifier.pissn1617-5468
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/18318
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartofBIOSIG 2012
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-196
dc.titleCommon mistakes on face recognition based on videoen
dc.typeText/Conference Paper
gi.citation.endPage432
gi.citation.publisherPlaceBonn
gi.citation.startPage429
gi.conference.date06.-07. September 2012
gi.conference.locationDarmstadt
gi.conference.sessiontitleRegular Research Papers

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