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

被引：97

作者：

Nasirahmadi, Abozar ^{[1
,2
]}

Richter, Uwe ^{[2
]}

Hensel, Oliver ^{[2
]}

Edwards, Sandra ^{[1
]}

Sturm, Barbara ^{[1
,2
]}

机构：

[1] Newcastle Univ, Sch Agr Food & Rural Dev, Newcastle Upon Tyne NE1 7RU, Tyne & Wear, England

[2] Univ Kassel, Dept Agr Engn, Witzenhausen, Germany

来源：

COMPUTERS AND ELECTRONICS IN AGRICULTURE | 2015年 / 119卷

基金：

“创新英国”项目;

关键词：

Pig; Lying behaviour; Image analysis; Delaunay triangle; DELAUNAY TRIANGULATION; SPACE REQUIREMENTS; GROWING PIGS; IMAGE; BEHAVIOR; TEMPERATURE; CLASSIFICATION; RECOGNITION;

D O I：

10.1016/j.compag.2015.10.023

中图分类号：

S [农业科学];

学科分类号：

09 ;

摘要：

Pig lying patterns can provide information on environmental factors affecting production efficiency, health and welfare. The aim of this study was to investigate the feasibility of using image processing and the Delaunay triangulation method to detect change in group lying behaviour of pigs under commercial farm conditions and relate this to changing environmental temperature. Two pens of 22 growing pigs were monitored during 15 days using top view CCD cameras. Animals were extracted from their background using image processing algorithms, and the x-y coordinates of each binary image were used for ellipse fitting algorithms to localize each pig. By means of the region properties and perimeter of each Delaunay Triangulation, it was possible with high accuracy to automatically find the changes in lying posture and location within the pen of grouped pigs caused by temperature changes. (C) 2015 Elsevier B.V. All rights reserved.

引用

页码：184 / 190

页数：7

共 25 条

[1] Development of a real-time computer vision system for tracking loose-housed pigs [J].

Ahrendt, Peter ;

Gregersen, Torben ;

Karstoft, Henrik .

COMPUTERS AND ELECTRONICS IN AGRICULTURE, 2011, 76 (02) :169-174

[2] A meta-analysis of the combined effect of housing and environmental enrichment characteristics on the behaviour and performance of pigs [J].

Averos, Xavier ;

Brossard, Ludovic ;

Dourmad, Jean-Yves ;

de Greef, Karel H. ;

Edge, Helen L. ;

Edwards, Sandra A. ;

Meunier-Salauen, Marie-Christine .

APPLIED ANIMAL BEHAVIOUR SCIENCE, 2010, 127 (3-4) :73-85

[3] Image-processing technique to measure pig activity in response to climatic variation in a pig barn [J].

Costa, A. ;

Ismayilova, G. ;

Borgonovo, F. ;

Viazzi, S. ;

Berckmans, D. ;

Guarino, M. .

ANIMAL PRODUCTION SCIENCE, 2014, 54 (08) :1075-1083

[4] The use of image analysis as a new approach to assess behaviour classification in a pig barn [J].

Costa, Annamaria ;

Ismayilova, Gunel ;

Borgonovo, Federica ;

Leroy, Toon ;

Berckmans, Daniel ;

Guarino, Marcella .

ACTA VETERINARIA BRNO, 2013, 82 (01) :25-30

[5]

Debreceni O., 2014, Journal of Central European Agriculture, V15, P64

[6] Lying characteristics as determinants for space requirements in pigs [J].

Ekkel, ED ;

Spoolder, HAM ;

Hulsegge, I ;

Hopster, H .

APPLIED ANIMAL BEHAVIOUR SCIENCE, 2003, 80 (01) :19-30

[7]

GEERS R, 1990, J AGR ENG RES, V45, P149, DOI 10.1016/S0021-8634(05)80058-7

[8]

Gonzalez R.C., 2007, DIGITAL IMAGE PROCES

[9] Delaunay triangulation-based pit density estimation for the classification of polyps in high-magnification chromo-colonoscopy [J].

Haefner, M. ;

Liedlgruber, M. ;

Uhl, A. ;

Vecsei, A. ;

Wrba, F. .

COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE, 2012, 107 (03) :565-581

[10] Structural characterization of dense colloidal films using a modified pair distribution function and Delaunay triangulation [J].

Hansen, PHF ;

Rödner, S ;

Bergström, L .

LANGMUIR, 2001, 17 (16) :4867-4875

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