Human Pose Estimation through a Novel Multi-view Scheme

Jorge L. Charco, Jorge L. Charco, Angel D. Sappa, Angel D. Sappa, Boris X. Vintimilla

2022

Abstract

This paper presents a multi-view scheme to tackle the challenging problem of the self-occlusion in human pose estimation problem. The proposed approach first obtains the human body joints of a set of images, which are captured from different views at the same time. Then, it enhances the obtained joints by using a multi-view scheme. Basically, the joints from a given view are used to enhance poorly estimated joints from another view, especially intended to tackle the self occlusions cases. A network architecture initially proposed for the monocular case is adapted to be used in the proposed multi-view scheme. Experimental results and comparisons with the state-of-the-art approaches on Human3.6m dataset are presented showing improvements in the accuracy of body joints estimations.

Paper Citation

in Harvard Style

Charco J., Sappa A. and Vintimilla B. (2022). Human Pose Estimation through a Novel Multi-view Scheme. In Proceedings of the 17th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2022) - Volume 5: VISAPP; ISBN 978-989-758-555-5, SciTePress, pages 855-862. DOI: 10.5220/0010899900003124

in Bibtex Style

@conference{visapp22,
author={Jorge L. Charco and Angel D. Sappa and Boris X. Vintimilla},
title={Human Pose Estimation through a Novel Multi-view Scheme},
booktitle={Proceedings of the 17th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2022) - Volume 5: VISAPP},
year={2022},
pages={855-862},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010899900003124},
isbn={978-989-758-555-5},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 17th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2022) - Volume 5: VISAPP
TI - Human Pose Estimation through a Novel Multi-view Scheme
SN - 978-989-758-555-5
AU - Charco J.
AU - Sappa A.
AU - Vintimilla B.
PY - 2022
SP - 855
EP - 862
DO - 10.5220/0010899900003124
PB - SciTePress