Common mistakes on face recognition based on video

Zusammenfassung
Automatic 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?
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  • BibTeX
Despiegel, V. & Gentric, S., (2012). Common mistakes on face recognition based on video. In: Brömme, A. & Busch, C. (Hrsg.), BIOSIG 2012. Bonn: Gesellschaft für Informatik e.V.. (S. 429-432).
@inproceedings{mci/Despiegel2012,
author = {Despiegel, Vincent AND Gentric, Stéphane},
title = {Common mistakes on face recognition based on video},
booktitle = {BIOSIG 2012},
year = {2012},
editor = {Brömme, Arslan AND Busch, Christoph} ,
pages = { 429-432 },
publisher = {Gesellschaft für Informatik e.V.},
address = {Bonn}
}
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Mehr Information

ISBN: 978-3-88579-290-1
ISSN: 1617-5468
Datum: 2012
Sprache: en (en)
Typ: Text/Conference Paper
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