The use of image analysis to determine the number and position of cattle at a water point

Benvenutti, M. A., Coates, T. W., Imaz, A., Flesch, T.K., Hill, J., Charmley, E., Hepworth, G. and Chen, D. (2015) The use of image analysis to determine the number and position of cattle at a water point. Computers and Electronics in Agriculture, 118 24-27. doi:10.1016/j.compag.2015.08.016

Author Benvenutti, M. A.
Coates, T. W.
Imaz, A.
Flesch, T.K.
Hill, J.
Charmley, E.
Hepworth, G.
Chen, D.
Title The use of image analysis to determine the number and position of cattle at a water point
Journal name Computers and Electronics in Agriculture   Check publisher's open access policy
ISSN 0168-1699
Publication date 2015-10
Sub-type Article (original research)
DOI 10.1016/j.compag.2015.08.016
Open Access Status Not Open Access
Volume 118
Start page 24
End page 27
Total pages 4
Place of publication Amsterdam, Netherlands
Publisher Elsevier
Collection year 2016
Language eng
Abstract This study assessed the application of an image analysis method to accurately determine the number and position of cattle which are critical inputs for enteric methane emission calculations using micrometeorological methods. Animal imagery was collected with three synchronised time-lapse cameras located at 7, 35 and 77 m from a 20 × 30 m water point enclosure containing 20 steers, recorded over three consecutive days. Four independent observers counted the number of animals visible in each of 516 images. The counting error increased with distance from the enclosure (0.1%, 3.7% and 15.4% of total animals) as a result of increased overlapping and decreased clarity of the animals on the image. Animal positions were estimated using a polynomial transformation of image coordinates (pixels) to map coordinates. The average location error (distance between estimated and actual position) of independent targets was 0.8 ± 0.5 m and did not change with distance to the camera. We conclude that the analysis of 12 MP images from time lapse cameras can provide reliable and accurate estimates of the position and the number of animals located within 55 m from the camera.
Keyword Counting of cattle
Image analysis
Position of cattle
Q-Index Code C1
Q-Index Status Confirmed Code
Institutional Status UQ

Document type: Journal Article
Sub-type: Article (original research)
Collections: Official 2016 Collection
School of Veterinary Science Publications
Version Filter Type
Citation counts: TR Web of Science Citation Count  Cited 0 times in Thomson Reuters Web of Science Article
Scopus Citation Count Cited 0 times in Scopus Article
Google Scholar Search Google Scholar
Created: Tue, 08 Sep 2015, 00:31:51 EST by System User on behalf of Scholarly Communication and Digitisation Service