Fatigue detection using computer vision

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dc.contributor.author Patel, M
dc.contributor.author Lal, S
dc.contributor.author Kavanagh, D
dc.contributor.author Rossiter, P
dc.date.accessioned 2012-02-02T10:56:24Z
dc.date.issued 2010-11-01
dc.identifier.citation International Journal of Electronics and Telecommunications, 2010, 56 (4), pp. 457 - 461
dc.identifier.issn 2081-8491
dc.identifier.other C1 en_US
dc.identifier.uri http://hdl.handle.net/10453/15314
dc.description.abstract Long duration driving is a significant cause of fatigue related accidents of cars, airplanes, trains and other means of transport. This paper presents a design of a detection system which can be used to detect fatigue in drivers. The system is based on computer vision with main focus on eye blink rate. We propose an algorithm for eye detection that is conducted through a process of extracting the face image from the video image followed by evaluating the eye region and then eventually detecting the iris of the eye using the binary image. The advantage of this system is that the algorithm works without any constraint of the background as the face is detected using a skin segmentation technique. The detection performance of this system was tested using video images which were recorded under laboratory conditions. The applicability of the system is discussed in light of fatigue detection for drivers.
dc.language eng
dc.relation.isbasedon 10.2478/v10177-010-0062-8
dc.title Fatigue detection using computer vision
dc.type Journal Article
dc.description.version Published
dc.parent International Journal of Electronics and Telecommunications
dc.journal.volume 4
dc.journal.volume 56
dc.journal.number 4 en_US
dc.publocation Warsaw en_US
dc.identifier.startpage 457 en_US
dc.identifier.endpage 461 en_US
dc.cauo.name FEIT.Faculty of Engineering & Information Technology en_US
dc.conference Verified OK en_US
dc.conference 6th IEEE International Symposium on Signal Processing and Information Technology
dc.for 0906 Electrical and Electronic Engineering
dc.personcode 010322
dc.personcode 104938
dc.personcode 10499604
dc.percentage 100 en_US
dc.classification.name Electrical and Electronic Engineering en_US
dc.classification.type FOR-08 en_US
dc.edition 1 en_US
dc.edition 1
dc.custom en_US
dc.date.activity en_US
dc.date.activity 2006-08-28
dc.location.activity en_US
dc.location.activity Vancouver, CANADA
dc.description.keywords computer vision
dc.description.keywords eye blink detection
dc.description.keywords Face detection
dc.description.keywords fatigue
pubs.embargo.period Not known
pubs.organisational-group /University of Technology Sydney
pubs.organisational-group /University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group /University of Technology Sydney/Faculty of Science
pubs.organisational-group /University of Technology Sydney/Faculty of Science/School of Medical and Molecular Sciences
pubs.organisational-group /University of Technology Sydney/Strength - Health Technologies
pubs.organisational-group /University of Technology Sydney/Students
utslib.copyright.status Open Access
utslib.copyright.date 2015-04-15 12:23:47.074767+10
pubs.consider-herdc true


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