A Human Pose Estimation Method from Pseudo-Captured Two-Viewpoints Video

Ayaka Shimazu, Chun Xie, Satoru Tanigawa, Itaru Kitahara

2024

Abstract

Motion analysis utilizing human pose estimation has garnered increasing attention within sports science, serving both preventive medicine and skill enhancement purposes. While techniques using 3D trackers and RGB-D cameras to estimate human poses are gaining attention, the widespread adoption is hindered by the requirement for extensive space and specialized equipment. This paper introduces a novel method to estimate the 3D human pose using RGB video data captured from 'pseudo' two-viewpoints. This approach involves performing the same motion in different directions and recording with a single camera. We confirm that the accuracy of 3D human pose estimation from video taken by a single camera is improved by the pseudo-two-viewpoints recording compared to existing methods using a single monocular RGB camera.

Paper Citation

in Harvard Style

Shimazu A., Xie C., Tanigawa S. and Kitahara I. (2024). A Human Pose Estimation Method from Pseudo-Captured Two-Viewpoints Video. In Proceedings of the 12th International Conference on Sport Sciences Research and Technology Support - Volume 1: icSPORTS; ISBN 978-989-758-719-1, SciTePress, pages 148-154. DOI: 10.5220/0012921400003828

in Bibtex Style

@conference{icsports24,
author={Ayaka Shimazu and Chun Xie and Satoru Tanigawa and Itaru Kitahara},
title={A Human Pose Estimation Method from Pseudo-Captured Two-Viewpoints Video},
booktitle={Proceedings of the 12th International Conference on Sport Sciences Research and Technology Support - Volume 1: icSPORTS},
year={2024},
pages={148-154},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012921400003828},
isbn={978-989-758-719-1},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 12th International Conference on Sport Sciences Research and Technology Support - Volume 1: icSPORTS
TI - A Human Pose Estimation Method from Pseudo-Captured Two-Viewpoints Video
SN - 978-989-758-719-1
AU - Shimazu A.
AU - Xie C.
AU - Tanigawa S.
AU - Kitahara I.
PY - 2024
SP - 148
EP - 154
DO - 10.5220/0012921400003828
PB - SciTePress