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Authors: Rune Havnung Bakken 1 and Adrian Hilton 2

Affiliations: 1 Sør-Trøndelag University College, Norway ; 2 University of Surrey, United Kingdom

Keyword(s): Human Motion, Pose Estimation, Real-time.

Related Ontology Subjects/Areas/Topics: Applications ; Applications and Services ; Computer Vision, Visualization and Computer Graphics ; Enterprise Information Systems ; Entertainment Imaging Applications ; Geometry and Modeling ; Human and Computer Interaction ; Human-Computer Interaction ; Image-Based Modeling ; Media Watermarking and Security ; Pattern Recognition ; Software Engineering

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 several formats:
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 (VISIGRAPP 2012) - Volume 1: VISAPP; ISBN 978-989-8565-04-4; ISSN 2184-4321, SciTePress, pages 181-190. DOI: 10.5220/0003858501810190

@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 (VISIGRAPP 2012) - Volume 1: VISAPP},
year={2012},
pages={181-190},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003858501810190},
isbn={978-989-8565-04-4},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the International Conference on Computer Vision Theory and Applications (VISIGRAPP 2012) - Volume 1: VISAPP
TI - REAL-TIME POSE ESTIMATION USING TREE STRUCTURES BUILT FROM SKELETONISED VOLUME SEQUENCES
SN - 978-989-8565-04-4
IS - 2184-4321
AU - Havnung Bakken, R.
AU - Hilton, A.
PY - 2012
SP - 181
EP - 190
DO - 10.5220/0003858501810190
PB - SciTePress

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