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Authors: Kazusa Ozaki ; Fumihiko Sakaue and Jun Sato

Affiliation: Nagoya Institute of Technology, Nagoya, Japan

Keyword(s): Motion Capture Systems, Bundle Adjustment, Neural Network Representation, Asynchronous Stereo.

Abstract: In this research, we propose a method for restoring three-dimensional motion from time-series images captured by an asynchronous camera in order to realise a motion capture system using a camera attached to the body surface. For this purpose, we represent the motion trajectory of each marker using a neural network, and estimate the motion trajectory by optimising the neural network from the input images. It is also shown that stable 3D restoration can be achieved using a method called mutual projection, assuming that the cameras are reflecting each other. We show that it is possible to estimate 3D motion from asynchronous cameras with high accuracy.

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Paper citation in several formats:
Ozaki, K.; Sakaue, F. and Sato, J. (2024). Self-Mounted Motion Capture System Using Mutual Projection of Asynchronous Cameras. In Proceedings of the 19th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 4: VISAPP; ISBN 978-989-758-679-8; ISSN 2184-4321, SciTePress, pages 147-153. DOI: 10.5220/0012473500003660

@conference{visapp24,
author={Kazusa Ozaki. and Fumihiko Sakaue. and Jun Sato.},
title={Self-Mounted Motion Capture System Using Mutual Projection of Asynchronous Cameras},
booktitle={Proceedings of the 19th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 4: VISAPP},
year={2024},
pages={147-153},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012473500003660},
isbn={978-989-758-679-8},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the 19th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 4: VISAPP
TI - Self-Mounted Motion Capture System Using Mutual Projection of Asynchronous Cameras
SN - 978-989-758-679-8
IS - 2184-4321
AU - Ozaki, K.
AU - Sakaue, F.
AU - Sato, J.
PY - 2024
SP - 147
EP - 153
DO - 10.5220/0012473500003660
PB - SciTePress

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