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.

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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