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2010
Conference Paper
Titel

Real-time 3D reconstruction and pose estimation for human motion analysis

Abstract
In this paper, we present a markerless 3D motion capture system based on a volume reconstruction technique of non rigid bodies. It depicts a new approach for pose estimation in order to fit an articulated body model into the captured real-time information. We aim at analyzing athlete's movements in real-time within a 3D interactive graphics system. The paper addresses recent trends in vision based analysis and its fusion with 3D interactive computer graphics. Hence, the proposed system presents new methods for the 3D reconstruction of human body parts from calibrated multiple cameras based on voxel carving techniques and a 3D pose estimation methodology using Pseudo-Zernike Moments applied to an articulated human body model. Several algorithms have been designed for the deployment within a GPGPU environment allowing us to calculate several principle process steps from segmentation and reconstruction to volume optimization in real-time.
Author(s)
Graf, Holger
Fraunhofer-Institut für Graphische Datenverarbeitung IGD
Yoon, Sang Min
TU Darmstadt GRIS
Malerczyk, Cornelius
Fraunhofer-Institut für Graphische Datenverarbeitung IGD
Hauptwerk
17th IEEE International Conference on Image Processing, ICIP 2010
Konferenz
International Conference on Image Processing (ICIP) 2010
Thumbnail Image
DOI
10.1109/ICIP.2010.5650678
Language
English
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Fraunhofer-Institut für Graphische Datenverarbeitung IGD
Tags
  • content based video analysis

  • 3D reconstruction

  • pose estimation

  • vision-based motion capture

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