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Proceedings Paper

Overhead spine arch analysis of dairy cows from three-dimensional video
Author(s): K. Abdul Jabbar; M. F. Hansen; M. L. Smith; L. N. Smith
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Paper 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%.

Paper Details

Date Published: 8 February 2017
PDF: 5 pages
Proc. SPIE 10225, Eighth International Conference on Graphic and Image Processing (ICGIP 2016), 102250E (8 February 2017); doi: 10.1117/12.2266094
Show Author Affiliations
K. Abdul Jabbar, Univ. of the West of England (United Kingdom)
M. F. Hansen, Univ. of the West of England (United Kingdom)
M. L. Smith, Univ. of the West of England (United Kingdom)
L. N. Smith, Univ. of the West of England (United Kingdom)


Published in SPIE Proceedings Vol. 10225:
Eighth International Conference on Graphic and Image Processing (ICGIP 2016)
Yulin Wang; Tuan D. Pham; Vit Vozenilek; David Zhang; Yi Xie, Editor(s)

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