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Estimation of Pain in Sheep Using Computer Vision

  • Marwa MahmoudEmail author
  • Yiting Lu
  • Xijie Hou
  • Krista McLennan
  • Peter Robinson
Chapter

Abstract

Assessing pain levels in animals is a crucial but time-consuming process in maintaining their welfare. Facial expressions in sheep are an efficient and reliable indicator of pain levels. We have extended techniques for recognising human facial expressions to analyse facial expressions of sheep, which can then facilitate automatic estimation of pain levels. In this chapter we describe our multilevel approach that starts with detection of sheep faces in an image, localisation of facial landmarks, normalisation and then extraction of facial features. Using machine learning methods, we then estimate the pain level from the detected change in the facial expressions. Our sheep face detection approach has been shown to be robust in detecting sheep faces in images containing many sheep, in different lighting conditions and with reasonable variation in viewpoints. We argue that our approach to automated pain level assessment can be generalised to other animals.

Notes

Acknowledgements

The authors would like to thank the help of the Department of Veterinary medicine at University of Cambridge.

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Copyright information

© Springer International Publishing AG, part of Springer Nature 2018

Authors and Affiliations

  • Marwa Mahmoud
    • 1
    Email author
  • Yiting Lu
    • 1
  • Xijie Hou
    • 1
  • Krista McLennan
    • 2
  • Peter Robinson
    • 1
  1. 1.Department of Computer Science and TechnologyUniversity of CambridgeCambridgeUK
  2. 2.Department of Biological SciencesUniversity of ChesterChesterUK

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