Using machine vision for investigation of changes in pig group lying patterns

Computers and Electronics in Agriculture

Volumn 119, Issue , 2015, Pages 184-190

  Nasirahmadi, Abozar ^a,b   Richter, Uwe ^b   Hensel, Oliver ^b   Edwards, Sandra ^a   Sturm, Barbara ^a,b  

^a NEWCASTLE UNIVERSITY   (United Kingdom)

^b UNIVERSITY OF KASSEL   (Germany)

Author keywords

Delaunay triangle; Image analysis; Lying behaviour; Pig

Indexed keywords

BINARY IMAGES; CCD CAMERAS; COMPUTER VISION; GEOMETRY; IMAGE ANALYSIS; TRIANGULATION;

DELAU-NAY TRIANGULATIONS; DELAUNAY TRIANGLES; DELAUNAY TRIANGULATION METHOD; ELLIPSE FITTING ALGORITHMS; ENVIRONMENTAL TEMPERATURE; IMAGE PROCESSING ALGORITHM; LYING BEHAVIOUR; PRODUCTION EFFICIENCY;

MAMMALS;

ACCURACY ASSESSMENT; ALGORITHM; DETECTION METHOD; ELLIPSE; ENVIRONMENTAL FACTOR; FARM; FEASIBILITY STUDY; GROUP BEHAVIOR; IMAGE PROCESSING; PIG; TEMPERATURE GRADIENT; TRIANGULATION; VIDEOGRAPHY;

ANIMALIA; SUIDAE;

EID: 84946711155     PISSN: 01681699     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.compag.2015.10.023     Document Type: Article

References (25)

1. Ahrendt P., Gregersen T., Karstoft H. Development of a real-time computer vision system for tracking loose-housed pigs. Comput. Electron. Agric. 2011, 76(2):169-174.
2. Averós X., Brossard L., Dourmad J.-Y., de Greef K.H., Edge H.L., Edwards S.A., Meunier-Salaün M.-C. A meta-analysis of the combined effect of housing and environmental enrichment characteristics on the behaviour and performance of pigs. Appl. Anim. Behav. Sci. 2010, 127(3-4):73-85.
3. Costa A., Ismayilova G., Borgonovo F., Leroy T., Berckmans D., Guarino M. The use of image analysis as a new approach to assess behaviour classification in a pig barn. Acta. Vet. Brno. 2013, 82:25-30.
4. Costa A., Ismayilova G., Borgonovo F., Viazzi S., Berckmans D., Guarino M. Image-processing technique to measure pig activity in response to climatic variation in a pig barn. Anim. Prod. Sci. 2014, 54:1075-1083.
5. Debreceni O., Lehotayová A., Bučko O., Petrák J. The behaviour of the pigs housed in hot climatic conditions. J. C. Eur. Agric. 2014, 15(1):64-75.
6. Ekkel E.D., Spoolder H.A.M., Hulsegge I., Hopster H. Lying characteristics as determinants for space requirements in pigs. Appl. Anim. Behav. Sci. 2003, 80(1):19-30.
7. Geers R., Goedseels V., Parduyns G., Nijns P., Wouters P. Influence of floor type and surface temperature on the thermoregulatory behaviour of growing pigs. J. Agr. Eng. Res. 1990, 45:149-156.
8. Gonzalez R., Woods R. Digital Image Processing 2007, Prentice-Hall. third ed.
9. Häfner M., Liedlgruber M., Uhl A., Vécsei A., Wrba F. Delaunay triangulation-based pit density estimation for the classification of polyps in high-magnification chromo-colonoscopy. Comput. Meth. Prog. Bio. 2012, 107(3):565-581.
10. Hansen P.H.F., Rödner S., Lennart Bergström L. Structural characterization of dense colloidal films using a modified pair distribution function and Delaunay triangulation. Langmuir 2001, 17(16):4867-4875.
11. Hillmann E., Mayer C., Schrader L. Lying behaviour and adrenocortical response as indicators of the thermal tolerance of pigs of different weights. Anim. Welfare. 2004, 13(3):329-335.
12. Huynh T.T.T., Aarnink A.J.A., Gerrits W.J.J., Heetkamp M.J.H., Canh T.T., Spoolder H.A.M., Kemp B., Verstegen M.W.A. Thermal behaviour of growing pigs in response to high temperature and humidity. Appl. Anim. Behav. Sci. 2005, 91(1-2):1-16.
13. Kashiha M.A., Bahr C., Ott S., Moons C.P.H., Niewold T.A., Ödberg F.O., Berckmans D. Automatic identification of marked pigs in a pen using image pattern recognition. Comput. Electron. Agric. 2013, 93:111-120.
14. Kashiha M.A., Bahr C., Ott S., Moons C.P.H., Niewold T.A., Tuyttens F., Berckmans D. Automatic monitoring of pig locomotion using image analysis. Livest. Sci. 2014, 159:141-148.
15. McFarlane N.J.B., Schofield C.P. Segmentation and tracking of piglets in images. Mach. Vision. Appl. 1995, 8(3):187-193.
16. O'Leary P. Direct and specific least-square fitting of hyperbolæ and ellipses. J. Electron. Imaging 2004, 13(3):492-503.
17. Otsu N. A threshold selection method from gray-level histograms. IEEE Trans. Syst. Man Cybern. 1979, 9(1):62-66.
18. Ott S., Moons C.P.H., Kashiha M.A., Bahr C., Tuyttens F.A.M., Berckmans D., Niewold T.A. Automated video analysis of pig activity at pen level highly correlates to human observations of behavioural activities. Livest Sci. 2014, 160:132-137.
19. Shao B., Xin H. A real-time computer vision assessment and control of thermal comfort for group-housed pigs. Comput. Electron. Agric. 2008, 62(1):15-21.
20. Spoolder H.A.M., Aarnink A.A.J., Vermeer H.M., Riel J.V., Edwards S.A. Effect of increasing temperature on space requirements of group housed finishing pigs. Appl. Anim. Behav. Sci. 2012, 138(3-4):229-239.
21. Stukenborg A., Traulsen I., Puppe B., Presuhn U., Krieter J. Agonistic behaviour after mixing in pigs under commercial farm conditions. Appl. Anim. Behav. Sci. 2011, 129(1):28-35.
22. Tillett R.D., Onyango C.M., Marchant J.A. Using model-based image processing to track animal movements. Comput. Electron. Agric. 1997, 17(2):249-261.
23. Viazzi S., Ismayilova G., Oczak M., Sonoda L.T., Fels M., Guarino M., Vranken E., Hartung J., Bahr C., Berckmans D. Image feature extraction for classification of aggressive interactions among pigs. Comput. Electron. Agric. 2014, 104:57-62.
24. Wang Z., Wu W., Xu X., Xue D. Recognition and location of the internal corners of planar checkerboard calibration pattern image. Appl. Math. Comput. 2007, 185(2):894-906.
25. Wouters P., Geers R., Parduyns G., Goossens K., Truyen B., Goedseels V., Van der Stuyft E. Image-analysis parameters as inputs for automatic environmental temperature control in piglet houses. Comput. Electron. Agric. 1990, 5(3):233-246.