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Statements

Subject Item
n2:RIV%2F00216305%3A26220%2F12%3APU105771%21RIV14-MPO-26220___
rdf:type
skos:Concept n13:Vysledek
dcterms: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.
dcterms:title
Face Detection in video sequences Face Detection in video sequences
skos:prefLabel
Face Detection in video sequences Face Detection in video sequences
skos:notation
RIV/00216305:26220/12:PU105771!RIV14-MPO-26220___
n13:predkladatel
n21:orjk%3A26220
n3:aktivita
n10:P
n3:aktivity
P(FR-TI3/170)
n3:dodaniDat
n7:2014
n3:domaciTvurceVysledku
n11:9600086 n11:7971028
n3:druhVysledku
n18:D
n3:duvernostUdaju
n4:S
n3:entitaPredkladatele
n8:predkladatel
n3:idSjednocenehoVysledku
135998
n3:idVysledku
RIV/00216305:26220/12:PU105771
n3:jazykVysledku
n12:eng
n3:klicovaSlova
Face detection, video sequences, scenarios, illumination influence, real surroundings, real conditions
n3:klicoveSlovo
n5:video%20sequences n5:real%20surroundings n5:real%20conditions n5:scenarios n5:Face%20detection n5:illumination%20influence
n3:kontrolniKodProRIV
[5EF483654001]
n3:mistoKonaniAkce
Brno
n3:mistoVydani
Brno
n3:nazevZdroje
Proceedings of 22nd International Conference Radioelektronika 2012
n3:obor
n17:JA
n3:pocetDomacichTvurcuVysledku
2
n3:pocetTvurcuVysledku
3
n3:projekt
n14:FR-TI3%2F170
n3:rokUplatneniVysledku
n7:2012
n3:tvurceVysledku
Bambuch, Petr Malach, Tobiáš Malach, Jindřich
n3:typAkce
n16:EUR
n3:zahajeniAkce
2012-04-17+02:00
s:numberOfPages
4
n20:hasPublisher
UREL VUT
n19:isbn
978-80-214-4468-3
n15:organizacniJednotka
26220