Monitoring Motion of Pigs in Thermal Videos

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Abstract

We propose a new approach for monitoring animal movement in thermal videos. The method distinguishes movements as walking in the expected direction from walking in the opposite direction, stopping or lying down. The method utilizes blob detection combined with opti-cal ow to segment the pigs and extract features which characterize a pig’s movement (direction and speed). Subsequently a multiway princi-pal component analysis is used to analyze the movement features and monitor their development over time. Results are presented in the form of quality control charts of the principal components. The method works on-line with pre-training.
Original languageEnglish
Title of host publicationWorkshop on Farm Animal and Food Quality Imaging 2013 : Espoo, Finland, June 17, 2013, Proceedings
Place of PublicationKgs. Lyngby
PublisherTechnical University of Denmark
Publication date2013
Pages31-36
Publication statusPublished - 2013
EventWorkshop on Farm Animal and Food Quality Imaging 2013 - Espoo, Finland
Duration: 17 Jun 201317 Jun 2013
http://www2.imm.dtu.dk/projects/WFAFQI/

Workshop

WorkshopWorkshop on Farm Animal and Food Quality Imaging 2013
CountryFinland
CityEspoo
Period17/06/201317/06/2013
Internet address
SeriesDTU Compute-Technical Report-2013
Number12
ISSN1601-2321

Keywords

  • Optical ow
  • Blob detection
  • Multiway principle components
  • Quality control

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