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Statements

Subject Item
n2:RIV%2F00216305%3A26220%2F12%3APU105773%21RIV14-MPO-26220___
rdf:type
skos:Concept n9:Vysledek
dcterms:description
This paper deals with video sequences database design and assembly for face recognition system working under specific limiting conditions. Features used for recognition have to be insensitive to surroundings influences as scenario1, scene content and illumination, face dimensions and pose, image resolution etc. Since current face recognition algorithms are partially independent on surroundings and it is not easy to increase substantially face recognition systems performance, alternative approach to performance increase is to limit general operating conditions – surroundings. This could be achieved by using training and testing databases close to expected operating condition of face recognition system. Assembled database is intended for development and testing of face recognition system integrated in access control system. Video data were taken in an indoor environment by video surveillance cameras of various video resolutions. Database contains 5115 images of 275 human subjects. Face detection is th This paper deals with video sequences database design and assembly for face recognition system working under specific limiting conditions. Features used for recognition have to be insensitive to surroundings influences as scenario1, scene content and illumination, face dimensions and pose, image resolution etc. Since current face recognition algorithms are partially independent on surroundings and it is not easy to increase substantially face recognition systems performance, alternative approach to performance increase is to limit general operating conditions – surroundings. This could be achieved by using training and testing databases close to expected operating condition of face recognition system. Assembled database is intended for development and testing of face recognition system integrated in access control system. Video data were taken in an indoor environment by video surveillance cameras of various video resolutions. Database contains 5115 images of 275 human subjects. Face detection is th
dcterms:title
Video database for face recognition Video database for face recognition
skos:prefLabel
Video database for face recognition Video database for face recognition
skos:notation
RIV/00216305:26220/12:PU105773!RIV14-MPO-26220___
n9:predkladatel
n10:orjk%3A26220
n3:aktivita
n14:P
n3:aktivity
P(FR-TI3/170)
n3:dodaniDat
n18:2014
n3:domaciTvurceVysledku
n4:7971028 n4:9600086
n3:druhVysledku
n12:D
n3:duvernostUdaju
n19:S
n3:entitaPredkladatele
n21:predkladatel
n3:idSjednocenehoVysledku
177443
n3:idVysledku
RIV/00216305:26220/12:PU105773
n3:jazykVysledku
n6:eng
n3:klicovaSlova
Videodatabase, face recognition, scenario, real conditions, real surroundings
n3:klicoveSlovo
n8:scenario n8:Videodatabase n8:face%20recognition n8:real%20surroundings n8:real%20conditions
n3:kontrolniKodProRIV
[7D043C6279F0]
n3:mistoKonaniAkce
Bratislava
n3:mistoVydani
Bratislava
n3:nazevZdroje
Annual Conference Proceedings Technical Computing Bratislava 2012
n3:obor
n11:JA
n3:pocetDomacichTvurcuVysledku
2
n3:pocetTvurcuVysledku
3
n3:projekt
n17:FR-TI3%2F170
n3:rokUplatneniVysledku
n18:2012
n3:tvurceVysledku
Bambuch, Petr Malach, Tobiáš Malach, Jindřich
n3:typAkce
n7:EUR
n3:zahajeniAkce
2012-11-07+01:00
s:numberOfPages
1
n20:hasPublisher
Neuveden
n16:isbn
978-80-970519-0-7
n22:organizacniJednotka
26220