Fatigue Detection Using Computer Vision

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dc.contributor.author Patel, Miteshkumar en_US
dc.contributor.author Kavanagh, Diarmuid en_US
dc.contributor.author Rossiter, Peter en_US
dc.contributor.author Lal, Sara en_US
dc.contributor.editor en_US
dc.date.accessioned 2012-02-02T10:56:24Z
dc.date.available 2012-02-02T10:56:24Z
dc.date.issued 2010 en_US
dc.identifier 2010003305 en_US
dc.identifier.citation Patel Miteshkumar et al. 2010, 'Fatigue Detection Using Computer Vision', Polish Academy of Sciences (PAN), Committe of Electronics and Telecommunications, vol. 56, no. 4, pp. 457-461. en_US
dc.identifier.issn 0867-6747 en_US
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. en_US
dc.language English en_US
dc.publisher Polish Academy of Sciences (PAN), Committe of Electronics and Telecommunications en_US
dc.rights The final publication is available at www.degruyter.com
dc.title Fatigue Detection Using Computer Vision en_US
dc.parent Kwartalnik Elektroniki i Telekomunikacji - Electronics and Telecommunications Quarterly en_US
dc.journal.volume 56 en_US
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.for 090600 en_US
dc.personcode 10499604 en_US
dc.personcode 010322 en_US
dc.personcode 104938 en_US
dc.personcode 0000059528 en_US
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.custom en_US
dc.date.activity en_US
dc.location.activity en_US
dc.description.keywords Face detection, eye blink detection, fatigue, computer vision en_US
dc.staffid en_US


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