Self-calibration of Large Scale Camera Networks

Patrik Goorts, Steven Maesen, Yunjun Liu, Maarten Dumont, Philippe Bekaert, Gauthier Lafruit

Abstract

In this paper, we present a method to calibrate large scale camera networks for multi-camera computer vision applications in sport scenes. The calibration process determines precise camera parameters, both within each camera (focal length, principal point, etc) and inbetween the cameras (their relative position and orientation). To this end, we first extract candidate image correspondences over adjacent cameras, without using any calibration object, solely relying on existing feature matching computer vision algorithms applied on the input video streams. We then pairwise propagate these camera feature matches over all adjacent cameras using a chained, confident-based voting mechanism and a selection relying on the general displacement across the images. Experiments show that this removes a large amount of outliers before using existing calibration toolboxes dedicated to small scale camera networks, that would otherwise fail to work properly in finding the correct camera parameters over large scale camera networks. We succesfully validate our method on real soccer scenes.

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Paper Citation


in Harvard Style

Goorts P., Maesen S., Liu Y., Dumont M., Bekaert P. and Lafruit G. (2014). Self-calibration of Large Scale Camera Networks . In Proceedings of the 11th International Conference on Signal Processing and Multimedia Applications - Volume 1: SIGMAP, (ICETE 2014) ISBN 978-989-758-046-8, pages 107-116. DOI: 10.5220/0005057201070116


in Bibtex Style

@conference{sigmap14,
author={Patrik Goorts and Steven Maesen and Yunjun Liu and Maarten Dumont and Philippe Bekaert and Gauthier Lafruit},
title={Self-calibration of Large Scale Camera Networks},
booktitle={Proceedings of the 11th International Conference on Signal Processing and Multimedia Applications - Volume 1: SIGMAP, (ICETE 2014)},
year={2014},
pages={107-116},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005057201070116},
isbn={978-989-758-046-8},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 11th International Conference on Signal Processing and Multimedia Applications - Volume 1: SIGMAP, (ICETE 2014)
TI - Self-calibration of Large Scale Camera Networks
SN - 978-989-758-046-8
AU - Goorts P.
AU - Maesen S.
AU - Liu Y.
AU - Dumont M.
AU - Bekaert P.
AU - Lafruit G.
PY - 2014
SP - 107
EP - 116
DO - 10.5220/0005057201070116