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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 (en)
Title
  • Video database for face recognition
  • Video database for face recognition (en)
skos:prefLabel
  • Video database for face recognition
  • Video database for face recognition (en)
skos:notation
  • RIV/00216305:26220/12:PU105773!RIV14-MPO-26220___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(FR-TI3/170)
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 177443
http://linked.open...ai/riv/idVysledku
  • RIV/00216305:26220/12:PU105773
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • Videodatabase, face recognition, scenario, real conditions, real surroundings (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [7D043C6279F0]
http://linked.open...v/mistoKonaniAkce
  • Bratislava
http://linked.open...i/riv/mistoVydani
  • Bratislava
http://linked.open...i/riv/nazevZdroje
  • Annual Conference Proceedings Technical Computing Bratislava 2012
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...vavai/riv/projekt
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Bambuch, Petr
  • Malach, Jindřich
  • Malach, Tobiáš
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
number of pages
http://purl.org/ne...btex#hasPublisher
  • Neuveden
https://schema.org/isbn
  • 978-80-970519-0-7
http://localhost/t...ganizacniJednotka
  • 26220
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