Real-time Human Pose Estimation from Body-scanned Point Clouds

Jilliam María Díaz Barros, Frederic Garcia, Désiré Sidibé

2015

Abstract

This paper presents a novel approach to estimate the human pose from a body-scanned point cloud. To do so, a predefined skeleton model is first initialized according to both the skeleton base point and its torso limb obtained by Principal Component Analysis (PCA). Then, the body parts are iteratively clustered and the skeleton limb fitting is performed, based on Expectation Maximization (EM). The human pose is given by the location of each skeletal node in the fitted skeleton model. Experimental results show the ability of the method to estimate the human pose from multiple point cloud video sequences representing the external surface of a scanned human body; being robust, precise and handling large portions of missing data due to occlusions, acquisition hindrances or registration inaccuracies.

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Paper Citation


in Harvard Style

Díaz Barros J., Garcia F. and Sidibé D. (2015). Real-time Human Pose Estimation from Body-scanned Point Clouds . In Proceedings of the 10th International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2015) ISBN 978-989-758-089-5, pages 553-560. DOI: 10.5220/0005309005530560

in Bibtex Style

@conference{visapp15,
author={Jilliam María Díaz Barros and Frederic Garcia and Désiré Sidibé},
title={Real-time Human Pose Estimation from Body-scanned Point Clouds},
booktitle={Proceedings of the 10th International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2015)},
year={2015},
pages={553-560},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005309005530560},
isbn={978-989-758-089-5},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 10th International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2015)
TI - Real-time Human Pose Estimation from Body-scanned Point Clouds
SN - 978-989-758-089-5
AU - Díaz Barros J.
AU - Garcia F.
AU - Sidibé D.
PY - 2015
SP - 553
EP - 560
DO - 10.5220/0005309005530560