Title: Automatic detection of lameness in dairy cattle by vision analysis of cow’s gait
Authors: Bahr, Claudia
Leroy, Toon
Vranken, Erik
Song, Xiangyu
Maertens, Willem
Vangeyte, Juergen
Van Nuffel, Annelies
Sonck, Bart
Berckmans, Daniel #
Issue Date: Jun-2008
Host Document: Book of Abstracts of International Conference on Agricultural Engineering pages:60
Conference: International Conference on Agricultural Engineering location:Crete, Greece date:23-25 June 2008
Abstract: The objective of this research is to develop and analyze image parameters from different
camera orientations which are correlated to expert gait scores and beneficial for lameness
detection. Therefore experiments were done on ILVO farm in Ghent Belgium in August/
September 2007. Cameras from different orientations recorded the postures and
movements of lactating cow. A main focus is on image parameters representing hoof
movements. On that score the parameter hoof step time was investigated in 10 Holstein
cows. In 2 walking strides of each cow the time period between the moment that the hoof
(centre point) was lifted from the ground till the moment the hoof touched the ground, was
calculated. The corresponding time between hoof combinations was evaluated to obtain
information about disparities in hoof movements which could be related to lameness.
Preliminary results show that the differences in corresponding time are higher in cows with a
high gait score compared to cows with a low gait score. The correlation coefficient was
calculated between the sum of corresponding times in both strides and visual gait score
given by experts. Within the 10 tested cows the calculated image parameter has a high
correlation coefficient (0,84) to given gait scores. It indicates that the hoof step time is useful
for automatic on-line lameness detection. A further goal is to develop an automatic lameness
detection tool analyzing more lame cows and more image parameters.
Publication status: published
KU Leuven publication type: IMa
Appears in Collections:Division M3-BIORES: Measure, Model & Manage Bioresponses (-)
# (joint) last author

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