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dc.contributor.authorGüdükbay, Uğuren_US
dc.contributor.authorDemir, I.en_US
dc.contributor.authorDedeoǧlu, Y.en_US
dc.date.accessioned2016-02-08T09:36:06Z
dc.date.available2016-02-08T09:36:06Z
dc.date.issued2013en_US
dc.identifier.issn1051-2004
dc.identifier.urihttp://hdl.handle.net/11693/20830
dc.description.abstractWe propose a framework to reconstruct the 3D pose of a human for animation from a sequence of single-view video frames. The framework for pose construction starts with background estimation and the performer's silhouette is extracted using image subtraction for each frame. Then the body silhouettes are automatically labeled using a model-based approach. Finally, the 3D pose is constructed from the labeled human silhouette by assuming orthographic projection. The proposed approach does not require camera calibration. It assumes that the input video has a static background, it has no significant perspective effects, and the performer is in an upright position. The proposed approach requires minimal user interaction. © 2013 Elsevier Inc.en_US
dc.language.isoEnglishen_US
dc.source.titleDigital Signal Processingen_US
dc.relation.isversionofhttp://dx.doi.org/10.1016/j.dsp.2013.06.008en_US
dc.subjectAnimationen_US
dc.subjectComputer visionen_US
dc.subjectHuman pose reconstructionen_US
dc.subjectMotion captureen_US
dc.subjectSingle cameraen_US
dc.subjectUncalibrated cameraen_US
dc.subjectBackground estimationen_US
dc.subjectCamera calibrationen_US
dc.subjectHuman poseen_US
dc.subjectModel based approachen_US
dc.subjectOrthographic projectionsen_US
dc.subjectThree dimensionalen_US
dc.titleMotion capture and human pose reconstruction from a single-view video sequenceen_US
dc.typeArticleen_US
dc.departmentDepartment of Computer Engineeringen_US
dc.citation.spage1441en_US
dc.citation.epage1450en_US
dc.citation.volumeNumber23en_US
dc.citation.issueNumber5en_US
dc.identifier.doi10.1016/j.dsp.2013.06.008en_US
dc.publisherAcademic Pressen_US
dc.contributor.bilkentauthorGüdükbay, Uğur


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