GPU-accelerated Real-time Markerless Human Motion Capture

Christian Rau, Guido Brunnett

2013

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.

Paper Citation

in Harvard Style

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 - Volume 1: GRAPP, (VISIGRAPP 2013) ISBN 978-989-8565-46-4, pages 397-401. DOI: 10.5220/0004282203970401

in Bibtex Style

@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 - Volume 1: GRAPP, (VISIGRAPP 2013)},
year={2013},
pages={397-401},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004282203970401},
isbn={978-989-8565-46-4},
}

in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Computer Graphics Theory and Applications and International Conference on Information Visualization Theory and Applications - Volume 1: GRAPP, (VISIGRAPP 2013)
TI - GPU-accelerated Real-time Markerless Human Motion Capture
SN - 978-989-8565-46-4
AU - Rau C.
AU - Brunnett G.
PY - 2013
SP - 397
EP - 401
DO - 10.5220/0004282203970401