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Authors: L. A. Zarrabeitia ; F. Z. Qureshi and D. A. Aruliah

Affiliation: University of Ontario Institute of Technology, Canada

Keyword(s): Stereo Reconstruction, Multi-view Geometry, Nonlinear Motion, Blood Flight, Parameter Estimation.

Related Ontology Subjects/Areas/Topics: Applications ; Computer Vision, Visualization and Computer Graphics ; Geometry and Modeling ; Human-Computer Interaction ; Image and Video Analysis ; Image-Based Modeling ; Methodologies and Methods ; Motion and Tracking ; Motion, Tracking and Stereo Vision ; Pattern Recognition ; Physiological Computing Systems ; Software Engineering ; Video Analysis

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.

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Paper citation in several formats:
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 - ICPRAM; ISBN 978-989-8565-41-9; ISSN 2184-4313, SciTePress, pages 459-466. DOI: 10.5220/0004265104590466

@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 - ICPRAM},
year={2013},
pages={459-466},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004265104590466},
isbn={978-989-8565-41-9},
issn={2184-4313},
}

TY - CONF

JO - Proceedings of the 2nd International Conference on Pattern Recognition Applications and Methods - ICPRAM
TI - Droplet Tracking from Unsynchronized Cameras
SN - 978-989-8565-41-9
IS - 2184-4313
AU - A. Zarrabeitia, L.
AU - Z. Qureshi, F.
AU - A. Aruliah, D.
PY - 2013
SP - 459
EP - 466
DO - 10.5220/0004265104590466
PB - SciTePress

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