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Automatic identification of marked pigs in a pen using image pattern recognition

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“naar een objectieve meetmethode voor welzijn en gezondheid van varkens”, IWT 080530
Abstract
Individual identification in pigs is a key point for management. Many behaviors such as resting, activity, feeding and drinking are better to be monitored individually. The purpose of this work was to investigate feasibility of an automated method to identify marked pigs in a pen in experimental conditions and for behavior-related research by using image processing. First, ellipse fitting algorithms were employed to localize pigs. Second, individual pigs could be identified by their respective paint pattern using pattern recognition techniques. In total, pigs could be identified with an average accuracy of 89.4%. It was also shown that behaviors such as resting can be monitored using the presented technique.
Keywords
Fourier description, Pig Identification, Image Analysis, Ellipse fitting, Shape recognition

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Citation

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MLA
Kashiha, Mohammadamin, Claudia Bahr, Sanne Ott, et al. “Automatic Identification of Marked Pigs in a Pen Using Image Pattern Recognition.” Lecture Notes in Computer Science. Ed. João M Sanches, Luisa Micó, & Jaime S Cardoso. Vol. 7887. Berlin, Germany: Springer, 2013. 205–212. Print.
APA
Kashiha, M., Bahr, C., Ott, S., Moons, C., Niewold, T. A., Odberg, F., & Berckmans, D. (2013). Automatic identification of marked pigs in a pen using image pattern recognition. In J. M. Sanches, L. Micó, & J. S. Cardoso (Eds.), Lecture Notes in Computer Science (Vol. 7887, pp. 205–212). Presented at the 6th Iberian conference on Pattern Recognition and Image Analysis (IbPRIA 2013), Berlin, Germany: Springer.
Chicago author-date
Kashiha, Mohammadamin, Claudia Bahr, Sanne Ott, Christel Moons, Theo A Niewold, Frank Odberg, and Daniel Berckmans. 2013. “Automatic Identification of Marked Pigs in a Pen Using Image Pattern Recognition.” In Lecture Notes in Computer Science, ed. João M Sanches, Luisa Micó, and Jaime S Cardoso, 7887:205–212. Berlin, Germany: Springer.
Chicago author-date (all authors)
Kashiha, Mohammadamin, Claudia Bahr, Sanne Ott, Christel Moons, Theo A Niewold, Frank Odberg, and Daniel Berckmans. 2013. “Automatic Identification of Marked Pigs in a Pen Using Image Pattern Recognition.” In Lecture Notes in Computer Science, ed. João M Sanches, Luisa Micó, and Jaime S Cardoso, 7887:205–212. Berlin, Germany: Springer.
Vancouver
1.
Kashiha M, Bahr C, Ott S, Moons C, Niewold TA, Odberg F, et al. Automatic identification of marked pigs in a pen using image pattern recognition. In: Sanches JM, Micó L, Cardoso JS, editors. Lecture Notes in Computer Science. Berlin, Germany: Springer; 2013. p. 205–12.
IEEE
[1]
M. Kashiha et al., “Automatic identification of marked pigs in a pen using image pattern recognition,” in Lecture Notes in Computer Science, Funchal, Madeira, Portugal, 2013, vol. 7887, pp. 205–212.
@inproceedings{3223130,
  abstract     = {Individual identification in pigs is a key point for management. Many behaviors such as resting, activity, feeding and drinking are better to be monitored individually. The purpose of this work was to investigate feasibility of an automated method to identify marked pigs in a pen in experimental conditions and for behavior-related research by using image processing.
First, ellipse fitting algorithms were employed to localize pigs. Second, individual pigs could be identified by their respective paint pattern using pattern recognition techniques. In total, pigs could be identified with an average accuracy of 89.4%. It was also shown that behaviors such as resting can be monitored using the presented technique.},
  author       = {Kashiha, Mohammadamin and Bahr, Claudia and Ott, Sanne and Moons, Christel and Niewold, Theo A and Odberg, Frank and Berckmans, Daniel},
  booktitle    = {Lecture Notes in Computer Science},
  editor       = {Sanches, João M and Micó, Luisa and Cardoso, Jaime S},
  isbn         = {9783642386275},
  issn         = {0302-9743},
  keywords     = {Fourier description,Pig Identification,Image Analysis,Ellipse fitting,Shape recognition},
  language     = {eng},
  location     = {Funchal, Madeira, Portugal},
  pages        = {205--212},
  publisher    = {Springer},
  title        = {Automatic identification of marked pigs in a pen using image pattern recognition},
  url          = {http://dx.doi.org/10.1007/978-3-642-38628-2_24},
  volume       = {7887},
  year         = {2013},
}

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