dc.contributor.advisor | Güdükbay, Uğur | |
dc.contributor.author | Demir, İbrahim | |
dc.date.accessioned | 2016-07-01T11:07:30Z | |
dc.date.available | 2016-07-01T11:07:30Z | |
dc.date.issued | 2006 | |
dc.identifier.uri | http://hdl.handle.net/11693/29863 | |
dc.description | Cataloged from PDF version of article. | en_US |
dc.description.abstract | 3D human pose reconstruction is a popular research area since it can be used
in various applications. Currently most of the methods work for constrained environments,
where multi camera views are available and camera calibration is
known, or a single camera view is available, which requires intensive user effort.
However most of the currently available data do not satisfy these constraints,
thus they cannot be processed by these algorithms. In this thesis a framework
is proposed to reconstruct 3D pose of a human for animation from a sequence of
single view video frames. The framework for pose construction starts with background
estimation. Once the image background is estimated, the body silhouette
is extracted by using image subtraction for each frame. Then the body silhouettes
are automatically labeled by 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. The
proposed framework assumes that the input video has a static background and
it has no significant perspective effects and the performer is in upright position. | en_US |
dc.description.statementofresponsibility | Demir, İbrahim | en_US |
dc.format.extent | xi, 55 leaves, illustrations | en_US |
dc.language.iso | English | en_US |
dc.rights | info:eu-repo/semantics/openAccess | en_US |
dc.subject | Motion capture | en_US |
dc.subject | Framework | en_US |
dc.subject | Single camera | en_US |
dc.subject | Uncalibrated camera | en_US |
dc.subject | Vision-based | en_US |
dc.subject | Animation | en_US |
dc.subject.lcc | QA76.754 .D46 2006 | en_US |
dc.subject.lcsh | Framework (Computer program) | en_US |
dc.title | Motion capture from single video sequence | en_US |
dc.type | Thesis | en_US |
dc.department | Department of Computer Engineering | en_US |
dc.publisher | Bilkent University | en_US |
dc.description.degree | M.S. | en_US |
dc.identifier.itemid | BILKUTUPB100015 | |