Droplet Tracking from Unsynchronized Cameras

L. A. Zarrabeitia, F. Z. Qureshi, D. A. Aruliah

2013

Abstract

We develop a method for reconstructing the three-dimensional (3D) trajectories of droplets in flight captured by multiple unsynchronized cameras. Triangulation techniques that underpin most stereo reconstruction methods do not apply in this context as the image streams recorded by different cameras are not synchronized. We assume instead a priori knowledge about the motion of the droplets to reconstruct their 3D trajectories given unlabelled two-dimensional tracks in videos recorded by different cameras. Our approach also avoids the challenge of accurately matching droplet tracks across multiple video frames. We evaluate the proposed method using both synthetic and real data.

Paper Citation

in Harvard Style

A. Zarrabeitia L., Z. Qureshi F. and A. Aruliah D. (2013). Droplet Tracking from Unsynchronized Cameras . In Proceedings of the 2nd International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM, ISBN 978-989-8565-41-9, pages 459-466. DOI: 10.5220/0004265104590466

in Bibtex Style

@conference{icpram13,
author={L. A. Zarrabeitia and F. Z. Qureshi and D. A. Aruliah},
title={Droplet Tracking from Unsynchronized Cameras},
booktitle={Proceedings of the 2nd International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM,},
year={2013},
pages={459-466},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004265104590466},
isbn={978-989-8565-41-9},
}

in EndNote Style

TY - CONF
JO - Proceedings of the 2nd International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM,
TI - Droplet Tracking from Unsynchronized Cameras
SN - 978-989-8565-41-9
AU - A. Zarrabeitia L.
AU - Z. Qureshi F.
AU - A. Aruliah D.
PY - 2013
SP - 459
EP - 466
DO - 10.5220/0004265104590466