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Statements

Subject Item
n2:RIV%2F00216224%3A14330%2F08%3A00027934%21RIV10-MSM-14330___
rdf:type
skos:Concept n12:Vysledek
dcterms:description
The safety of road transportation is still a topical issue. The principal problem we aim at is the detection of states when the driver's attention is not sufficient for safe driving using the analysis of video recording that captures driver's face. Our technique divides into several steps that use various methods to solve a part of the problem. The most fundamental is AAM for landmark point extraction, geometric methods for head posture computation, statistic methods for event detection and finally a rule-based expert system for final assessment. Our contribution presents the concept of %22visual diagnostics%22 of a vehicle driver, describe particular steps and discuss methodology and introduce the experiments that validate the function of our approach. The results indicate that the method is suitable for target environment and can reliably provide desired information with sufficient reliability. The safety of road transportation is still a topical issue. The principal problem we aim at is the detection of states when the driver's attention is not sufficient for safe driving using the analysis of video recording that captures driver's face. Our technique divides into several steps that use various methods to solve a part of the problem. The most fundamental is AAM for landmark point extraction, geometric methods for head posture computation, statistic methods for event detection and finally a rule-based expert system for final assessment. Our contribution presents the concept of %22visual diagnostics%22 of a vehicle driver, describe particular steps and discuss methodology and introduce the experiments that validate the function of our approach. The results indicate that the method is suitable for target environment and can reliably provide desired information with sufficient reliability. The safety of road transportation is still a topical issue. The principal problem we aim at is the detection of states when the driver's attention is not sufficient for safe driving using the analysis of video recording that captures driver's face. Our technique divides into several steps that use various methods to solve a part of the problem. The most fundamental is AAM for landmark point extraction, geometric methods for head posture computation, statistic methods for event detection and finally a rule-based expert system for final assessment. Our contribution presents the concept of %22visual diagnostics%22 of a vehicle driver, describe particular steps and discuss methodology and introduce the experiments that validate the function of our approach. The results indicate that the method is suitable for target environment and can reliably provide desired information with sufficient reliability.
dcterms:title
Driver Fatigue Detection Using Video Recording of Face Driver Fatigue Detection Using Video Recording of Face Driver Fatigue Detection Using Video Recording of Face
skos:prefLabel
Driver Fatigue Detection Using Video Recording of Face Driver Fatigue Detection Using Video Recording of Face Driver Fatigue Detection Using Video Recording of Face
skos:notation
RIV/00216224:14330/08:00027934!RIV10-MSM-14330___
n3:aktivita
n18:P
n3:aktivity
P(ME 949)
n3:dodaniDat
n15:2010
n3:domaciTvurceVysledku
n4:6569056 n4:2487667
n3:druhVysledku
n13:D
n3:duvernostUdaju
n20:S
n3:entitaPredkladatele
n16:predkladatel
n3:idSjednocenehoVysledku
364419
n3:idVysledku
RIV/00216224:14330/08:00027934
n3:jazykVysledku
n9:cze
n3:klicovaSlova
fatigue detection; Active Appearance Model; man-machine system; operator support; statistics
n3:klicoveSlovo
n5:man-machine%20system n5:operator%20support n5:Active%20Appearance%20Model n5:fatigue%20detection n5:statistics
n3:kontrolniKodProRIV
[973C29D1AAE5]
n3:mistoKonaniAkce
Prague
n3:mistoVydani
Praha
n3:nazevZdroje
Driver Car Interaction & Interface 2008
n3:obor
n7:IN
n3:pocetDomacichTvurcuVysledku
2
n3:pocetTvurcuVysledku
2
n3:projekt
n21:ME%20949
n3:rokUplatneniVysledku
n15:2008
n3:tvurceVysledku
Řeřucha, Šimon Kotek, Ondřej
n3:typAkce
n8:EUR
n3:zahajeniAkce
2008-12-17+01:00
s:numberOfPages
4
n17:hasPublisher
Prague: Academy of Sciences of CR, Institute of Computer Science
n19:isbn
978-80-87136-04-1
n10:organizacniJednotka
14330