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Overhead spine arch analysis of dairy cows from three-dimensional video

Abdul Jabbar, Khalid; Hansen, Mark F; Smith, Melvyn; Smith, Lyndon

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Authors

Khalid Abdul Jabbar

Mark Hansen Mark.Hansen@uwe.ac.uk
Professor of Machine Vision and Machine Learning

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Melvyn Smith Melvyn.Smith@uwe.ac.uk
Research Centre Director Vision Lab/Prof

Lyndon Smith Lyndon.Smith@uwe.ac.uk
Professor in Computer Simulation and Machine



Abstract

We present a spine arch analysis method in dairy cows using overhead 3D video data. This method is aimed for early stage lameness detection. That is important in order to allow early treatment; and thus, reduce the animal suffering and minimize the high forecasted financial losses, caused by lameness. Our physical data collection setup is non-intrusive, covert and designed to allow full automation; therefore, it could be implemented on a large scale or daily basis with high accuracy. We track the animal’s spine using shape index and curvedness measure from the 3D surface as she walks freely under the 3D camera. Our spinal analysis focuses on the thoracic vertebrae region, where we found most of the arching caused by lameness. A cubic polynomial is fitted to analyze the arch and estimate the locomotion soundness. We have found more accurate results by eliminating the regular neck/head movements’ effect from the arch. Using 22-cow data set, we are able to achieve an early stage lameness detection accuracy of 95.4%.

Citation

Abdul Jabbar, K., Hansen, M. F., Smith, M., & Smith, L. (2016, October). Overhead spine arch analysis of dairy cows from three-dimensional video. Paper presented at Eighth International Conference on Graphic and Image Processing (ICGIP 2016), Tokyo, Japan

Presentation Conference Type Conference Paper (unpublished)
Conference Name Eighth International Conference on Graphic and Image Processing (ICGIP 2016)
Conference Location Tokyo, Japan
Start Date Oct 29, 2016
End Date Oct 31, 2016
Acceptance Date Sep 20, 2016
Publication Date Feb 8, 2017
Deposit Date Oct 3, 2016
Publicly Available Date Apr 26, 2017
Peer Reviewed Peer Reviewed
Keywords 3D vision, curvature, dairy cow, early lameness, lameness detection, spine arch, vertebrate
Public URL https://uwe-repository.worktribe.com/output/898527
Publisher URL http://dx.doi.org/10.1117/12.2266094
Related Public URLs http://www.icgip.org/
Additional Information Title of Conference or Conference Proceedings : Eighth International Conference on Graphic and Image Processing (ICGIP 2016)

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