@inproceedings{0d97e9d4e7dc4e78946fc31f19c6ce8f,
title = "Automatic lameness detection based on 3D-video recordings",
abstract = "Manual locomotion scoring for lameness detection is a time-consuming and subjective procedure. Therefore, the objective of this study is to quantify the classification performance of a computer vision based algorithm for automated lameness scoring. Cow gait recordings were made during four consecutive night-time milking sessions in an Israeli dairy farm with a 3D-camera. A live on-the-spot assessed 5-point locomotion score was the reference for the automatic lameness score evaluation. A dataset of 1436 cows with automatic lameness scores and live locomotion scores was used for calculating classification performance. The analysis of the automatic scores as independent observations led to a correct classification rate of 50.4\% on a 5-point level scale. When allowing a 1 unit error on the 5-point level scale, a correct classification rate of 87.6\% was obtained. The obtained tolerant binary correct classification rate was 88.6\%. The automated lameness detection system obtained a tolerant correct classification rate of 88.6\%.",
keywords = "3-Dimensional, Classification, Computer vision, Dairy cow, Lameness",
author = "\{Van Hertem\}, T. and E. Maltz and A. Antler and V. Alchanatis and Schlageter-Tello, \{A. A.\} and C. Lokhorst and Romanini, \{C. E.B.\} and S. Viazzi and C. Bahr and D. Berckmans and I. Halachmi",
year = "2013",
month = jan,
day = "1",
language = "English",
isbn = "9789088263330",
series = "Precision Livestock Farming 2013 - Papers Presented at the 6th European Conference on Precision Livestock Farming, ECPLF 2013",
publisher = "Katholieke Universiteit Leuven",
pages = "59--67",
booktitle = "Precision Livestock Farming 2013 - Papers Presented at the 6th European Conference on Precision Livestock Farming, ECPLF 2013",
note = "6th European Conference on Precision Livestock Farming, ECPLF 2013 ; Conference date: 10-09-2013 Through 12-09-2013",
}