3-D Tennis Ball Trajectory Estimation from Multi-view Videos and Its Parameterization by Parabola Fitting

Kenta Sohara, Yasuyuki Sugaya

2022

Abstract

We propose a new method for estimating 3-D trajectories of a tennis ball from multiple video sequences and parameterizing the 3-D trajectories. We extract candidate positions of a ball by a frame difference technique and reconstruct 3-D positions of them by two-view reconstruction for every image pairs. By analyzing a distribution of the reconstructed 3-D points, we find a cluster among them and decide its cluster center as the 3-D ball position. Moreover, we fit a plane to the estimated 3-D trajectory and express them as a 2-D point data. We parameterize the 2-D data by fitting two parabolas to them. By simulation and real experiments, we demonstrate the efficiency of our method.

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Paper Citation


in Harvard Style

Sohara K. and Sugaya Y. (2022). 3-D Tennis Ball Trajectory Estimation from Multi-view Videos and Its Parameterization by Parabola Fitting. 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 769-776. DOI: 10.5220/0010768700003124


in Bibtex Style

@conference{visapp22,
author={Kenta Sohara and Yasuyuki Sugaya},
title={3-D Tennis Ball Trajectory Estimation from Multi-view Videos and Its Parameterization by Parabola Fitting},
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={769-776},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010768700003124},
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 - 3-D Tennis Ball Trajectory Estimation from Multi-view Videos and Its Parameterization by Parabola Fitting
SN - 978-989-758-555-5
AU - Sohara K.
AU - Sugaya Y.
PY - 2022
SP - 769
EP - 776
DO - 10.5220/0010768700003124
PB - SciTePress