Early and non-intrusive lameness detection in dairy cows using 3-dimensional video

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• 作者：K. Abdul Jabbar ; ^{khalid.abduljabbar@brl.ac.uk} ; Mark F. Hansen ; Melvyn L. Smith ; Lyndon N. Smith
• 关键词：3D computer vision ; Early lameness detection ; Gait asymmetry ; Locomotion analysis
• 刊名：Biosystems Engineering
• 出版年：2017
• 出版时间：January 2017
• 年：2017
• 卷：153
• 期：Complete
• 页码：63-69
• 全文大小：1034 K
• 卷排序：153

文摘

Completely covert and non-intrusive 3D video system to detect lameness in cows. A novel proxy of symmetry used from height variation of cow hooks. Automated feature extraction of spine and hooks using shape index and curvedness. A threshold was identified to make an early stage lameness classification. Using a linear SVM model, overall binary classification accuracy of 95.7% achieved.