Automatic lameness detection based on 3D-video recordings

T. Van Hertem, E. Maltz, A. Antler, V. Alchanatis, A. A. Schlageter-Tello, C. Lokhorst, C. E.B. Romanini, S. Viazzi, C. Bahr, D. Berckmans, I. Halachmi

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

5 Scopus citations

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%.

Original languageEnglish
Title of host publicationPrecision Livestock Farming 2013 - Papers Presented at the 6th European Conference on Precision Livestock Farming, ECPLF 2013
PublisherKatholieke Universiteit Leuven
Pages59-67
Number of pages9
ISBN (Print)9789088263330
StatePublished - 1 Jan 2013
Externally publishedYes
Event6th European Conference on Precision Livestock Farming, ECPLF 2013 - Leuven, Belgium
Duration: 10 Sep 201312 Sep 2013

Publication series

NamePrecision Livestock Farming 2013 - Papers Presented at the 6th European Conference on Precision Livestock Farming, ECPLF 2013

Conference

Conference6th European Conference on Precision Livestock Farming, ECPLF 2013
Country/TerritoryBelgium
CityLeuven
Period10/09/1312/09/13

Keywords

  • 3-Dimensional
  • Classification
  • Computer vision
  • Dairy cow
  • Lameness

ASJC Scopus subject areas

  • Animal Science and Zoology

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