Evaluating Homography Error for Accurate Multi-Camera Multi-Object Tracking of Dairy Cows

Shunpei Aou, Yota Yamamoto, Kazuaki Nakamura, Yukinobu Taniguchi

2025

Abstract

In dairy farming, accurate and early detecting of the signs of illness or estrus in dairy cows is essential for improving both health management and production efficiency. It is well-known that diseases or estrus in dairy cows are reflected in their activity levels, and monitoring behaviors such as walking distance and periods of feeding, drinking, and lying down time serves as a means to detect these signs. Therefore, tracking the movement of dairy cows can provide insights into their health condition. In this paper, we propose a tracking method that addresses homography errors, which have been identified as one of the causes of reduced accuracy in the location-based multi-camera multi-object tracking methods previously used for tracking dairy cows. Additionally, we demonstrate the effectiveness of the proposed method through validation experiments conducted in two different barn environments.

Paper Citation

in Harvard Style

Aou S., Yamamoto Y., Nakamura K. and Taniguchi Y. (2025). Evaluating Homography Error for Accurate Multi-Camera Multi-Object Tracking of Dairy Cows. In Proceedings of the 20th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 2: VISAPP; ISBN 978-989-758-728-3, SciTePress, pages 675-682. DOI: 10.5220/0013160900003912

in Bibtex Style

@conference{visapp25,
author={Shunpei Aou and Yota Yamamoto and Kazuaki Nakamura and Yukinobu Taniguchi},
title={Evaluating Homography Error for Accurate Multi-Camera Multi-Object Tracking of Dairy Cows},
booktitle={Proceedings of the 20th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 2: VISAPP},
year={2025},
pages={675-682},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013160900003912},
isbn={978-989-758-728-3},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 20th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 2: VISAPP
TI - Evaluating Homography Error for Accurate Multi-Camera Multi-Object Tracking of Dairy Cows
SN - 978-989-758-728-3
AU - Aou S.
AU - Yamamoto Y.
AU - Nakamura K.
AU - Taniguchi Y.
PY - 2025
SP - 675
EP - 682
DO - 10.5220/0013160900003912
PB - SciTePress