Zur Kurzanzeige

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.identifier.isbn978-3-88579-290-1
dc.identifier.issn1617-5468
dc.identifier.urihttp://dl.gi.de/handle/20.500.12116/18318
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.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
dc.pubPlaceBonn
mci.reference.pages429-432
mci.conference.sessiontitleRegular Research Papers
mci.conference.locationDarmstadt
mci.conference.date06.-07. September 2012


Dateien zu dieser Ressource

Thumbnail

Zur Kurzanzeige