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Description
  • The paper deals with the local descriptors based face recognition engine for video surveillance systems, where LBP and POEM face descriptors are involved. The FERET database is used for optimal parameters setting with regard to ratio of recognition rate and computational time. The multiplelocal- thresholds mechanism is proposed for face template generation and classification task. The engine is verified by using PubFig database and own database of images from a real surveillance system. The achieved results are suitable to be used in video surveillance system operating in real-time.
  • The paper deals with the local descriptors based face recognition engine for video surveillance systems, where LBP and POEM face descriptors are involved. The FERET database is used for optimal parameters setting with regard to ratio of recognition rate and computational time. The multiplelocal- thresholds mechanism is proposed for face template generation and classification task. The engine is verified by using PubFig database and own database of images from a real surveillance system. The achieved results are suitable to be used in video surveillance system operating in real-time. (en)
Title
  • Local Descriptors Based Face Recognition Engine for Video Surveillance Systems
  • Local Descriptors Based Face Recognition Engine for Video Surveillance Systems (en)
skos:prefLabel
  • Local Descriptors Based Face Recognition Engine for Video Surveillance Systems
  • Local Descriptors Based Face Recognition Engine for Video Surveillance Systems (en)
skos:notation
  • RIV/00216305:26220/13:PU104542!RIV15-MSM-26220___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(ED2.1.00/03.0072), P(FR-TI3/170), P(VG20102014033), S
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
  • 85246
http://linked.open...ai/riv/idVysledku
  • RIV/00216305:26220/13:PU104542
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • Face recognition, LBP extraction, POEM extraction, multiple-local-thresholds (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [7A1F71801D98]
http://linked.open...v/mistoKonaniAkce
  • Rome
http://linked.open...i/riv/mistoVydani
  • Neuveden
http://linked.open...i/riv/nazevZdroje
  • Proceedings of the 36th International Conference on Telecommunications and Signal Processing (TSP 2013)
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
  • Přinosil, Jiří
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
  • 978-1-4799-0403-7
http://localhost/t...ganizacniJednotka
  • 26220
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