Detection of Eye Motion Direction in Real Time Video Image

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dc.contributor.authorAtasoy, Nesrin Aydin
dc.contributor.authorCavusoglu, Abdullah
dc.date.accessioned2024-09-29T16:11:15Z
dc.date.available2024-09-29T16:11:15Z
dc.date.issued2014
dc.departmentKarabük Üniversitesien_US
dc.description22nd IEEE Signal Processing and Communications Applications Conference (SIU) -- APR 23-25, 2014 -- Karadeniz Teknik Univ, Trabzon, TURKEYen_US
dc.description.abstractIn this study, eye motion that captured by webcam is classified in real time. Eyes are detected with using Viola-Jones face detection algorithm. Iris and its center are detected with using Circle Hough Transform on single eye. Eye corners and region are determined OpenCV functions. And finally; The eye motion has been categorized in a way that it looks at down, up, left and right sides according to its distance to corner points of iris center. System is examined according to user's distance to camera and light.en_US
dc.description.sponsorshipIEEE,Karadeniz Tech Univ, Dept Comp Engn & Elect & Elect Engnen_US
dc.identifier.endpage1490en_US
dc.identifier.isbn978-1-4799-4874-1
dc.identifier.issn2165-0608
dc.identifier.startpage1487en_US
dc.identifier.urihttps://hdl.handle.net/20.500.14619/8295
dc.identifier.wosWOS:000356351400351en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.language.isotren_US
dc.publisherIeeeen_US
dc.relation.ispartof2014 22nd Signal Processing and Communications Applications Conference (Siu)en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectOpenCVen_US
dc.subjectreal time object detectionen_US
dc.subjectcircle hough transform methoden_US
dc.titleDetection of Eye Motion Direction in Real Time Video Imageen_US
dc.typeConference Objecten_US

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