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10th Pacific Conference on Computer Graphics and Applications (PG'02)
Combining 2D Feature Tracking and Volume Reconstruction for Online Video-Based Human Motion Capture
Tsinghua University, Beijing
October 09-October 11
ISBN: 0-7695-1784-6
Christian Theobalt, Max-Planck-Institut für Informatik
Marcus Magnor, Max-Planck-Institut für Informatik
Pascal Schüler, Max-Planck-Institut für Informatik
Hans-Peter Seidel, Max-Planck-Institut für Informatik
The acquisition of human motion data is of major importance for creating interactive virtual environments, intelligent user interfaces, and realistic computer animations. Today?s performance of off-the-shelf computer hardware enables marker-free non-intrusive optical tracking of the human body. In addition, recent research shows that it is possible to efficiently acquire and render volumetric scene representations in real-time. This paper describes a system to capture human motion at interactive frame rates without the use of markers or scene-intruding devices. Instead, 2D computer vision and 3D volumetric scene reconstruction algorithms are applied directly to the image data. A person is recorded by multiple synchronized cameras, and a multi-layer hierarchical kinematic skeleton is fitted to each frame in a two-stage process. We present results with a prototype system running on two PCs.
Citation:
Christian Theobalt, Marcus Magnor, Pascal Schüler, Hans-Peter Seidel, "Combining 2D Feature Tracking and Volume Reconstruction for Online Video-Based Human Motion Capture," pg, pp.96, 10th Pacific Conference on Computer Graphics and Applications (PG'02), 2002
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