Locomotion traits of dairy cows from overhead three-dimensional video

Abdul Jabbar, K., Hansen, M. F., Smith, M. and Smith, L. (2016) Locomotion traits of dairy cows from overhead three-dimensional video. In: Visual observation and analysis of Vertebrate And Insect Behavior (VAIB), 23rd International Conference on Pattern Recognition (ICPR), Cancun, Mexico, 04 December 2016. [In Press] Available from: http://eprints.uwe.ac.uk/30046

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We investigate two locomotion traits in dairy cows from overhead 3D video to observe lameness trends. Detecting lameness -particularly at an early stage- is important in order to allow early treatment which maximizes detection benefits. The proposed physical setup is covert, non intrusive and it facilitates full autonomy; therefore, it could be implemented on a large-scale or daily-basis with high accuracy. The algorithm automatically tracks features to key regions (i.e. spine, hook bones) using shape index and curvedness measure from the 3D map. The gait asymmetry trait is analysed in the form of a dynamic novel proxy derived from the pelvic height movements, as the animal walks. We have found this proxy sensitive to early lameness trends. The back arch trait is analysed using a fitted polynomial in the extracted spine region. The proposed methods in this paper could be implemented on other cattle breeds, equine or other quadruped animals for the purposes of locomotion assessment.

Item Type:Conference or Workshop Item (Paper)
Uncontrolled Keywords:dairy cows, three-dimensional visualisation, 3D
Faculty/Department:Faculty of Environment and Technology > Department of Engineering Design and Mathematics
ID Code:30046
Deposited By: K. Abdul Jabbar
Deposited On:03 Oct 2016 09:06
Last Modified:16 Jun 2017 02:09

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