REAL-TIME POSE ESTIMATION USING TREE STRUCTURES BUILT FROM SKELETONISED VOLUME SEQUENCES

Rune Havnung Bakken, Adrian Hilton

2012

Abstract

Pose estimation in the context of human motion analysis is the process of approximating the body configuration in each frame of a motion sequence. We propose a novel pose estimation method based on constructing tree structures from skeletonised visual hulls reconstructed from multi-view video. The pose is estimated independently in each frame, so the method can recover from errors in previous frames, which overcomes the problems of tracking. Publically available datasets were used to evaluate the method. On real data the method performs at a framerate of 15–64 fps depending on the resolution of the volume. Using synthetic data the positions of the extremities were determined with a mean error of 47–53 mm depending on the resolution.

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Paper Citation


in Harvard Style

Havnung Bakken R. and Hilton A. (2012). REAL-TIME POSE ESTIMATION USING TREE STRUCTURES BUILT FROM SKELETONISED VOLUME SEQUENCES . In Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2012) ISBN 978-989-8565-04-4, pages 181-190. DOI: 10.5220/0003858501810190

in Bibtex Style

@conference{visapp12,
author={Rune Havnung Bakken and Adrian Hilton},
title={REAL-TIME POSE ESTIMATION USING TREE STRUCTURES BUILT FROM SKELETONISED VOLUME SEQUENCES},
booktitle={Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2012)},
year={2012},
pages={181-190},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003858501810190},
isbn={978-989-8565-04-4},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2012)
TI - REAL-TIME POSE ESTIMATION USING TREE STRUCTURES BUILT FROM SKELETONISED VOLUME SEQUENCES
SN - 978-989-8565-04-4
AU - Havnung Bakken R.
AU - Hilton A.
PY - 2012
SP - 181
EP - 190
DO - 10.5220/0003858501810190