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      Motion capture and human pose reconstruction from a single-view video sequence

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      Author
      Güdükbay, Uğur
      Demir, I.
      Dedeoǧlu, Y.
      Date
      2013
      Source Title
      Digital Signal Processing
      Print ISSN
      1051-2004
      Publisher
      Academic Press
      Volume
      23
      Issue
      5
      Pages
      1441 - 1450
      Language
      English
      Type
      Article
      Item Usage Stats
      138
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      Abstract
      We 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.
      Keywords
      Animation
      Computer vision
      Human pose reconstruction
      Motion capture
      Single camera
      Uncalibrated camera
      Background estimation
      Camera calibration
      Human pose
      Model based approach
      Orthographic projections
      Three dimensional
      Permalink
      http://hdl.handle.net/11693/20830
      Published Version (Please cite this version)
      http://dx.doi.org/10.1016/j.dsp.2013.06.008
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      • Department of Computer Engineering 1368
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