About: Face Detection in video sequences     Goto   Sponge   NotDistinct   Permalink

An Entity of Type : http://linked.opendata.cz/ontology/domain/vavai/Vysledek, within Data Space : linked.opendata.cz associated with source document(s)

AttributesValues
rdf:type
Description
  • Advanced face detection algorithms tested on static laboratory captured images are distinguished by low error rate. Real surroundings, scenarios and scene illumination can considerably increase the error rate. These variable conditions could have a negative influence on captured video sequences. Another perspective includes fact, that human's behavior changes at different situations which could also influence performance of face detections algorithms. The goal of the work presented in this paper is to assess the influence of these conditions on error rate. This paper presents results of Viola-Jones based face detection system tested on database trustworthily representing real surroundings and conditions. Accent is put on influence of scenarios and illumination. For this purpose dedicated closed circuit TV (CCTV) system was designed, so mentioned influences were effectively tested.
  • Advanced face detection algorithms tested on static laboratory captured images are distinguished by low error rate. Real surroundings, scenarios and scene illumination can considerably increase the error rate. These variable conditions could have a negative influence on captured video sequences. Another perspective includes fact, that human's behavior changes at different situations which could also influence performance of face detections algorithms. The goal of the work presented in this paper is to assess the influence of these conditions on error rate. This paper presents results of Viola-Jones based face detection system tested on database trustworthily representing real surroundings and conditions. Accent is put on influence of scenarios and illumination. For this purpose dedicated closed circuit TV (CCTV) system was designed, so mentioned influences were effectively tested. (en)
Title
  • Face Detection in video sequences
  • Face Detection in video sequences (en)
skos:prefLabel
  • Face Detection in video sequences
  • Face Detection in video sequences (en)
skos:notation
  • RIV/00216305:26220/12:PU105771!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
  • 135998
http://linked.open...ai/riv/idVysledku
  • RIV/00216305:26220/12:PU105771
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • Face detection, video sequences, scenarios, illumination influence, real surroundings, real conditions (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [5EF483654001]
http://linked.open...v/mistoKonaniAkce
  • Brno
http://linked.open...i/riv/mistoVydani
  • Brno
http://linked.open...i/riv/nazevZdroje
  • Proceedings of 22nd International Conference Radioelektronika 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
  • UREL VUT
https://schema.org/isbn
  • 978-80-214-4468-3
http://localhost/t...ganizacniJednotka
  • 26220
Faceted Search & Find service v1.16.118 as of Jun 21 2024


Alternative Linked Data Documents: ODE     Content Formats:   [cxml] [csv]     RDF   [text] [turtle] [ld+json] [rdf+json] [rdf+xml]     ODATA   [atom+xml] [odata+json]     Microdata   [microdata+json] [html]    About   
This material is Open Knowledge   W3C Semantic Web Technology [RDF Data] Valid XHTML + RDFa
OpenLink Virtuoso version 07.20.3240 as of Jun 21 2024, on Linux (x86_64-pc-linux-gnu), Single-Server Edition (126 GB total memory, 58 GB memory in use)
Data on this page belongs to its respective rights holders.
Virtuoso Faceted Browser Copyright © 2009-2024 OpenLink Software