Title :
Common mistakes on face recognition based on video
Author :
Despiegel, V. ; Gentric, S.
Author_Institution :
Safran Group, Issy-les-Moulineaux, France
Abstract :
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?
Keywords :
face recognition; military computing; national security; video streaming; automatic border control; face recognition; image recognition; quality assessment; video streams; Authentication; Biometrics (access control); Face; Face recognition; Feature extraction; Logic gates;
Conference_Titel :
Biometrics Special Interest Group (BIOSIG), 2012 BIOSIG - Proceedings of the International Conference of the
Conference_Location :
Darmstadt
Print_ISBN :
978-1-4673-1010-9
