Video Analysis in Indoor Soccer using a Quadcopter

Filipe Trocado Ferreira, Jaime S. Cardoso, Hélder P. Oliveira

2015

Abstract

Automatic vision systems are widely used in sports competition to analyze individual and collective performance during the matches. However, the complex implementation based on multiple fixed cameras and the human intervention on the process makes this kind of systems expensive and not suitable for the big majority of the teams. In this paper we propose a low-cost, portable and flexible solution based on the use of Unmanned Air Vehicles to capture images from indoor soccer games. Since these vehicles suffer from vibrations and disturbances, the acquired video is very unstable, presenting a set of unusual problems in this type of applications. We propose a complete video-processing framework, including video stabilization, camera calibration, player detection, and team performance analysis. The results showed that camera calibration was able to correct automatically image-to-world homography; the player detection precision and recall was around 75%; and the high-level data interpretation showed a strong similarity with ground-truth derived results.

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Paper Citation


in Harvard Style

Trocado Ferreira F., Cardoso J. and Oliveira H. (2015). Video Analysis in Indoor Soccer using a Quadcopter . In Proceedings of the International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM, ISBN 978-989-758-076-5, pages 77-86. DOI: 10.5220/0005206000770086


in Bibtex Style

@conference{icpram15,
author={Filipe Trocado Ferreira and Jaime S. Cardoso and Hélder P. Oliveira},
title={Video Analysis in Indoor Soccer using a Quadcopter},
booktitle={Proceedings of the International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM,},
year={2015},
pages={77-86},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005206000770086},
isbn={978-989-758-076-5},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM,
TI - Video Analysis in Indoor Soccer using a Quadcopter
SN - 978-989-758-076-5
AU - Trocado Ferreira F.
AU - Cardoso J.
AU - Oliveira H.
PY - 2015
SP - 77
EP - 86
DO - 10.5220/0005206000770086