Digital image processing methods for the identification of pigs posture during weight estimation

Ferdous, W. M. and Tscharke, M. and Saunders, C. and Lee, S.-H. and Banhazi, T. M. (2011) Digital image processing methods for the identification of pigs posture during weight estimation. In: 5th European Conference on Precision Livestock Farming (ECPLF 2011), 11-14 July 2011, Prague .


Variations in the postures of pigs can contribute to significant amounts of error during
automatic weight estimation of pigs using image analysis techniques. This is especially the case
when the head of a pig is not maintained on the same straight line as the body of the animal. It
was estimated that an additional 2.4% error is associated with sub-optimal posture of animals
during weight estimation. To minimize weight estimation error as much as possible, the aim
of this study was to identify the most suitable image analysis technique that can automatically
select frames from video streams with optimum animal posture for accurate weight
estimation. Four different techniques, namely reference line, length ratio, angular width and
mid-line methods were investigated using images of pigs between 45 and 90 kg. All images
were taken from above the animals at a height of 1680 mm. In this study, images of animals
turning their heads more than 30 degrees from the body line either left or right were classified
as suboptimal. Similarly, images were also classified as suboptimal if the angular placement of
the pigs in the images were more than 30 degrees from the midline. Among the different
methods, both the length ratio and angular width method were found to be most likely to
identify images with suboptimal head position, while the midline method was the best at
identifying pigs with a suboptimal body position. Thus overall the length ratio method appears
to be the best to identify suboptimal images before further processing.

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Item Type: Conference or Workshop Item (Commonwealth Reporting Category E) (Paper)
Refereed: Yes
Item Status: Live Archive
Additional Information: Author version not held.
Faculty/School / Institute/Centre: Current - USQ Other
Faculty/School / Institute/Centre: Current - USQ Other
Date Deposited: 13 Mar 2012 00:16
Last Modified: 29 Jun 2017 04:22
Uncontrolled Keywords: Image analysis, posture, head turning, livestock, pig
Fields of Research (2008): 09 Engineering > 0999 Other Engineering > 099901 Agricultural Engineering
Fields of Research (2020): 40 ENGINEERING > 4099 Other engineering > 409901 Agricultural engineering
Socio-Economic Objectives (2008): E Expanding Knowledge > 97 Expanding Knowledge > 970107 Expanding Knowledge in the Agricultural and Veterinary Sciences

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