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Authors: Christian Rau and Guido Brunnett

Affiliation: Chemnitz University of Technology, Germany

Keyword(s): Motion Capturing, Shape-from-Silhouette, Voxelization, Pose Estimation, GPGPU.

Related Ontology Subjects/Areas/Topics: Animation and Simulation ; Animation from Motion Capture ; Computer Vision, Visualization and Computer Graphics ; Hardware Technologies for Augmented, Mixed and Virtual Environments ; Interactive Environments

Abstract: We present a system for capturing human motions based on video data from multiple cameras. It realizes a 3-dimensional voxel-based reconstruction of the human together with an estimation of the pose of his complete body in each frame. The use of an underlying kinematic skeleton together with an idealized geometric model can guarantee a valid pose even in the face of occlusions caused by the incomplete spatial information gained from the cameras. The data-parallel nature of the used algorithms makes them well-suited for the implementation on modern graphics hardware. In this way the motion can be captured in real-time on a single PC despite the computation of a reconstruction accurate enough for a high quality pose estimation.

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Paper citation in several formats:
Rau, C. and Brunnett, G. (2013). GPU-accelerated Real-time Markerless Human Motion Capture. In Proceedings of the International Conference on Computer Graphics Theory and Applications and International Conference on Information Visualization Theory and Applications (VISIGRAPP 2013) - GRAPP; ISBN 978-989-8565-46-4; ISSN 2184-4321, SciTePress, pages 397-401. DOI: 10.5220/0004282203970401

@conference{grapp13,
author={Christian Rau. and Guido Brunnett.},
title={GPU-accelerated Real-time Markerless Human Motion Capture},
booktitle={Proceedings of the International Conference on Computer Graphics Theory and Applications and International Conference on Information Visualization Theory and Applications (VISIGRAPP 2013) - GRAPP},
year={2013},
pages={397-401},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004282203970401},
isbn={978-989-8565-46-4},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the International Conference on Computer Graphics Theory and Applications and International Conference on Information Visualization Theory and Applications (VISIGRAPP 2013) - GRAPP
TI - GPU-accelerated Real-time Markerless Human Motion Capture
SN - 978-989-8565-46-4
IS - 2184-4321
AU - Rau, C.
AU - Brunnett, G.
PY - 2013
SP - 397
EP - 401
DO - 10.5220/0004282203970401
PB - SciTePress

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