Automatic cattle location tracking using image processing

Dao, Trung-Kien and Le, Thi-Lan and Harle, David and Murray, Paul and Tachtatzis, Christos and Marshall, Stephen and Michie, Craig and Andonovic, Ivan (2015) Automatic cattle location tracking using image processing. In: 23rd European Signal Processing Conference, 2015 (EUSIPCO 2015), 2015-08-31 - 2015-09-04.

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Abstract

Behavioural scientists track animal behaviour patterns through the construction of ethograms which detail the activities of cattle over time. To achieve this, scientists currently view video footage from multiple cameras located in and around a pen, which houses the animals, to extract their location and determine their activity. This is a time consuming, laborious task, which could be automated. In this paper we extend the well-known Real-Time Compressive Tracking algorithm to automatically determine the location of dairy and beef cows from multiple video cameras in the pen. Several optimisations are introduced to improve algorithm accuracy. An automatic approach for updating the bounding box which discourages the algorithm from learning the background is presented. We also dynamically weight the location estimates from multiple cameras using boosting to avoid errors introduced by occlusion and by the tracked animal moving in and out of the field of view.

ORCID iDs

Harle, David ORCID: https://orcid.org/0000-0002-0534-1096

Murray, Paul ORCID: https://orcid.org/0000-0002-6980-9276

Tachtatzis, Christos ORCID: https://orcid.org/0000-0001-9150-6805

Marshall, Stephen ORCID: https://orcid.org/0000-0001-7079-5628

Michie, Craig ORCID: https://orcid.org/0000-0001-5132-4572

Andonovic, Ivan ORCID: https://orcid.org/0000-0001-9093-5245

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• Item metadata

  Item type:	Conference or Workshop Item(Paper)
  ID code:	53834
  Dates:	Date Event August 2015 Published 22 May 2015 Accepted
  Notes:	First published in the Proceedings of the 23rd European Signal Processing Conference (EUSIPCO-2015) in 2015, published by EURASIP.
  Subjects:	Technology > Electrical engineering. Electronics Nuclear engineering
  Department:	Faculty of Engineering > Electronic and Electrical Engineering
  Depositing user:	Pure Administrator
  Date deposited:	23 Jul 2015 08:58
  Last modified:	11 Nov 2024 16:44
  Related URLs:	Event Organisation
  URI:	https://strathprints.strath.ac.uk/id/eprint/53834