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

Abdul Jabbar, K., Hansen, M. F., Smith, M. and Smith, L. (2017) Overhead spine arch analysis of dairy cows from three-dimensional video. In: Eighth International Conference on Graphic and Image Processing (ICGIP 2016), Tokyo, Japan, 29-31 October 2016. Proceedings of SPIE: SPIE Available from: http://eprints.uwe.ac.uk/30003

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Publisher's URL: http://dx.doi.org/10.1117/12.2266094


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%.

Item Type:Conference or Workshop Item (Paper)
Uncontrolled Keywords:3D vision, curvature, dairy cow, early lameness, lameness detection, spine arch, vertebrate
Faculty/Department:Faculty of Environment and Technology > Department of Engineering Design and Mathematics
ID Code:30003
Deposited By: K. Abdul Jabbar
Deposited On:03 Oct 2016 08:59
Last Modified:27 Apr 2017 03:09

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