Automatic individual holstein friesian cattle identification via selective local coat pattern matching in RGB-D imagery

Research output: Chapter in Book/Report/Conference proceedingConference Contribution (Conference Proceeding)

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Abstract

The objective of this paper is the fully automated visual identification of individual Holstein Friesian cattle from dorsal RGB-D imagery taken in real-world farm environments. Autonomous and non-intrusive cattle identification could provide an essential tool for economically-viable machinised farming analytics, social monitoring, cattle traceability, food production management and more. We contribute a dataset and propose a system that can reliably derive animal identities from top-down stills by first depth-segmenting animals in RGB-D frames, and then extracting a subset of local ASIFT coat descriptors predicted as sufficiently individually distinctive across the species. Predictions are generated by a support vector machine (SVM) using radial basis function (RBF) kernels for predictions based on the ASIFT descriptor structure. We show that learning such a species-specific ID-model is effective, and we demonstrate robustness to poor or complex input image conditions such as more than one cow present, bad depth segmentation, etc. The proposed system yields 97% identification accuracy over testing on approximately 86,000 image pair comparisons covering a herd of 40 individuals from the FriesianCattle2015 Dataset.
Original languageEnglish
Title of host publication2016 IEEE International Conference on Image Process (ICIP 2016)
Subtitle of host publicationProceedings of a meeting held 25-29 September 2016, Phoenix, AZ, USA
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages484-488
Number of pages5
ISBN (Electronic)9781467399616
ISBN (Print)9781467399623
DOIs
Publication statusPublished - Mar 2017
Event2016 23rd IEEE International Conference on Image Processing, ICIP 2016 - Phoenix Convention Center, Phoenix, AZ, United States
Duration: 25 Sept 201628 Sept 2016

Publication series

NameProceedings of the IEEE International Conference on Image Processing (ICIP)
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
ISSN (Print)2381-8549

Conference

Conference2016 23rd IEEE International Conference on Image Processing, ICIP 2016
Country/TerritoryUnited States
CityPhoenix, AZ
Period25/09/1628/09/16

Keywords

  • Animal Biometrics
  • Cattle identification
  • ASIFT
  • Support Vector Machine
  • Hlstein Friesian Cows

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