Comparison of Trajectories Formed With Kinect Motion Capture Data

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dc.authoridŞen, Mehmed Oğuz/0000-0002-0533-1859;
dc.authorwosidŞen, Mehmed Oğuz/ABG-9990-2020
dc.authorwosidErturkler, Metin/Y-1230-2019
dc.contributor.authorSen, Mehmed Oguz
dc.contributor.authorErturkler, Metin
dc.date.accessioned2024-08-04T20:41:07Z
dc.date.available2024-08-04T20:41:07Z
dc.date.issued2015
dc.departmentİnönü Üniversitesien_US
dc.description23nd Signal Processing and Communications Applications Conference (SIU) -- MAY 16-19, 2015 -- Inonu Univ, Malatya, TURKEYen_US
dc.description.abstractMotion capture is the process of recording people or object movements. Generally, marker based systems are used for this process. In these systems, motion data is acquired by placing markers on certain points on the object whose motion is going to be captured. However preserving markers' positions on the object, dependency on the object, high cost and requirement of specially designed workspace causes difficulties in usage. In recent years, development of motion sensing camera systems like Microsoft Kinect became an alternative of marker based systems. In this study, Frechet distance algorithm is suggested for similarity measurement of movement trajectories that are formed by motion capture data acquired using Microsoft Kinect cameras. Measurement of movement similarity is crucial for certain applications. (activity recognition, object classification, path finding for humanoid robots etc.)en_US
dc.description.sponsorshipDept Comp Engn & Elect & Elect Engn,Elect & Elect Engn,Bilkent Univen_US
dc.identifier.endpage2649en_US
dc.identifier.isbn978-1-4673-7386-9
dc.identifier.issn2165-0608
dc.identifier.scopus2-s2.0-84939191384en_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.startpage2646en_US
dc.identifier.urihttps://hdl.handle.net/11616/96917
dc.identifier.wosWOS:000380500900647en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isotren_US
dc.publisherIeeeen_US
dc.relation.ispartof2015 23rd 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.subjectKinecten_US
dc.subjectmotion captureen_US
dc.subjectcurve similarityen_US
dc.subjectcurve matchingen_US
dc.subjectFrichet distanceen_US
dc.titleComparison of Trajectories Formed With Kinect Motion Capture Dataen_US
dc.typeConference Objecten_US

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