Publication:
Real Time Speed Estimation of Moving Vehicles from Side View Images from an Uncalibrated Video Camera

dc.authorscopusid36117532800
dc.authorscopusid36149699600
dc.authorscopusid15743982700
dc.contributor.authorDoǧan, S.
dc.contributor.authorTemiz, M.S.
dc.contributor.authorKülür, S.
dc.date.accessioned2020-06-21T14:48:37Z
dc.date.available2020-06-21T14:48:37Z
dc.date.issued2010
dc.departmentOndokuz Mayıs Üniversitesien_US
dc.department-temp[Doǧan] Sedat, Department of Geodesy and Photogrammetry, Ondokuz Mayis Üniversitesi, Samsun, Turkey; [Temiz] Mahir Serhan, Department of Geodesy and Photogrammetry, Ondokuz Mayis Üniversitesi, Samsun, Turkey; [Külür] Sitki, Department of Geodesy and Photogrammetry, İstanbul Teknik Üniversitesi, Istanbul, Turkeyen_US
dc.description.abstractIn order to estimate the speed of a moving vehicle with side view camera images, velocity vectors of a sufficient number of reference points identified on the vehicle must be found using frame images. This procedure involves two main steps. In the first step, a sufficient number of points from the vehicle is selected, and these points must be accurately tracked on at least two successive video frames. In the second step, by using the displacement vectors of the tracked points and passed time, the velocity vectors of those points are computed. Computed velocity vectors are defined in the video image coordinate system and displacement vectors are measured by the means of pixel units. Then the magnitudes of the computed vectors in image space should be transformed to the object space to find the absolute values of these magnitudes. This transformation requires an image to object space information in a mathematical sense that is achieved by means of the calibration and orientation parameters of the video frame images. This paper presents proposed solutions for the problems of using side view camera images mentioned here. © 2010 by the authors; licensee MDPI, Basel, Switzerland.en_US
dc.identifier.doi10.3390/s100504805
dc.identifier.endpage4824en_US
dc.identifier.issn1424-8220
dc.identifier.issue5en_US
dc.identifier.pmid22399909
dc.identifier.scopus2-s2.0-77953525659
dc.identifier.scopusqualityQ2
dc.identifier.startpage4805en_US
dc.identifier.urihttps://doi.org/10.3390/s100504805
dc.identifier.urihttps://hdl.handle.net/20.500.12712/17957
dc.identifier.volume10en_US
dc.identifier.wosWOS:000278105100035
dc.identifier.wosqualityQ2
dc.language.isoenen_US
dc.publisherMMPIen_US
dc.relation.ispartofSensorsen_US
dc.relation.journalSensorsen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectOptical Flowen_US
dc.subjectTraffic Monitoringen_US
dc.subjectVehicle Speed Estimationen_US
dc.subjectVideoen_US
dc.titleReal Time Speed Estimation of Moving Vehicles from Side View Images from an Uncalibrated Video Cameraen_US
dc.typeArticleen_US
dspace.entity.typePublication

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