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Authors: Matthew van der Zwan and Alexandru Telea

Affiliation: University of Groningen, Netherlands

ISBN: 978-989-758-091-8

Keyword(s): Time-of-Flight Cameras, Video Tracking, Vision for Robotics, Automatic Milking Devices.

Related Ontology Subjects/Areas/Topics: Active and Robot Vision ; Applications ; Computer Vision, Visualization and Computer Graphics ; Motion, Tracking and Stereo Vision ; Pattern Recognition ; Robotics ; Software Engineering ; Tracking and Visual Navigation

Abstract: We present a system for detection and tracking of cow teats, as part of the construction of automatic milking devices (AMDs) in the dairy industry. We detail algorithmic solutions for the robust detection and tracking of teat tips in low-resolution video streams produced by embedded time-of-flight cameras, using a combination of depth images and point-cloud data. We present a visual analysis tool for the validation and optimization of the proposed techniques. Compared to existing state-of-the-art solutions, our method can robustly handle occlusions, variable poses, and geometries of the tracked shape, and yields a correct tracking rate for over 90% for tests involving real-world images obtained from an industrial AMD robot.

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Paper citation in several formats:
van der Zwan, M. and Telea, A. (2015). Robust and Fast Teat Detection and Tracking in Low-resolution Videos for Automatic Milking Devices.In Proceedings of the 10th International Conference on Computer Vision Theory and Applications - Volume 3: VISAPP, (VISIGRAPP 2015) ISBN 978-989-758-091-8, pages 520-530. DOI: 10.5220/0005299205200530

@conference{visapp15,
author={Matthew van der Zwan. and Alexandru Telea.},
title={Robust and Fast Teat Detection and Tracking in Low-resolution Videos for Automatic Milking Devices},
booktitle={Proceedings of the 10th International Conference on Computer Vision Theory and Applications - Volume 3: VISAPP, (VISIGRAPP 2015)},
year={2015},
pages={520-530},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005299205200530},
isbn={978-989-758-091-8},
}

TY - CONF

JO - Proceedings of the 10th International Conference on Computer Vision Theory and Applications - Volume 3: VISAPP, (VISIGRAPP 2015)
TI - Robust and Fast Teat Detection and Tracking in Low-resolution Videos for Automatic Milking Devices
SN - 978-989-758-091-8
AU - van der Zwan, M.
AU - Telea, A.
PY - 2015
SP - 520
EP - 530
DO - 10.5220/0005299205200530

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