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Stereo vision and statistical based behaviour prediction of driver

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dc.contributor.author Eren, Haluk
dc.contributor.author Çelik, Ümit
dc.contributor.author Poyraz, Mustafa
dc.date.accessioned 2020-04-10T09:32:01Z
dc.date.available 2020-04-10T09:32:01Z
dc.date.issued 2007
dc.identifier.citation Eren, Haluk; Çelik, Ümit; Poyraz, Mustafa, "Stereo vision and statistical based behaviour prediction of driver", 2007 IEEE Intelligent Vehicles Symposium, Vols 1-3, (2007). tr_TR
dc.identifier.isbn 978-1-4244-1067-5
dc.identifier.uri http://hdl.handle.net/20.500.12416/3037
dc.description.abstract The goal of this project is to develop a webeam-based system for monitoring the activities of automobile drivers. As in any system deployed for monitoring driver activities, the primary goal is to distinguish between safe and unsafe driving actions. There is no fixed list of actions that qualifies the unsafe driving behaviors. In general, an activity or an action that reduces a driver's alertness of their surroundings should be classified as unsafe driving behavior. Some examples of unsafe driving behavior include fatigue, talking on a cellular telephone, eating, and adjusting the controls of the dashboard stereo while driving. In this study, we also investigated the relationship between 2D and 3D face and pose recognition. tr_TR
dc.language.iso eng tr_TR
dc.publisher IEEE tr_TR
dc.rights info:eu-repo/semantics/closedAccess tr_TR
dc.title Stereo vision and statistical based behaviour prediction of driver tr_TR
dc.type workingPaper tr_TR
dc.relation.journal 2007 IEEE Intelligent Vehicles Symposium, Vols 1-3 tr_TR
dc.contributor.department Çankaya Üniversitesi, Mühendislik Fakültesi, Bilgisayar Mühendisliği Bölümü tr_TR


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