Monitoring Motion of Pigs in Thermal Videos

Ruta Gronskyte; Murat Kulahci; Line Katrine Harder Clemmensen

Monitoring Motion of Pigs in Thermal Videos

Ruta Gronskyte, Murat Kulahci, Line Katrine Harder Clemmensen

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

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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 language	English
Title of host publication	Workshop on Farm Animal and Food Quality Imaging 2013 : Espoo, Finland, June 17, 2013, Proceedings
Place of Publication	Kgs. Lyngby
Publisher	Technical University of Denmark
Publication date	2013
Pages	31-36
Publication status	Published - 2013
Event	Workshop on Farm Animal and Food Quality Imaging 2013 - Espoo, Finland Duration: 17 Jun 2013 → 17 Jun 2013 http://www2.imm.dtu.dk/projects/WFAFQI/

Workshop

Workshop	Workshop on Farm Animal and Food Quality Imaging 2013
Country/Territory	Finland
City	Espoo
Period	17/06/2013 → 17/06/2013
Internet address	http://www2.imm.dtu.dk/projects/WFAFQI/

Series	DTU Compute-Technical Report-2013
Number	12
ISSN	1601-2321

Keywords

Optical ow
Blob detection
Multiway principle components
Quality control

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title = "Monitoring Motion of Pigs in Thermal Videos",

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{\textquoteright}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.",

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author = "Ruta Gronskyte and Murat Kulahci and Clemmensen, {Line Katrine Harder}",

year = "2013",

language = "English",

series = "DTU Compute-Technical Report-2013",

publisher = "Technical University of Denmark",

number = "12",

pages = "31--36",

booktitle = "Workshop on Farm Animal and Food Quality Imaging 2013",

note = "Workshop on Farm Animal and Food Quality Imaging 2013, WFAFQI ; Conference date: 17-06-2013 Through 17-06-2013",

url = "http://www2.imm.dtu.dk/projects/WFAFQI/",

}

Gronskyte, R, Kulahci, M & Clemmensen, LKH 2013, Monitoring Motion of Pigs in Thermal Videos. in Workshop on Farm Animal and Food Quality Imaging 2013: Espoo, Finland, June 17, 2013, Proceedings. Technical University of Denmark, Kgs. Lyngby, DTU Compute-Technical Report-2013, no. 12, pp. 31-36, Workshop on Farm Animal and Food Quality Imaging 2013, Espoo, Finland, 17/06/2013.

Monitoring Motion of Pigs in Thermal Videos. / Gronskyte, Ruta; Kulahci, Murat ; Clemmensen, Line Katrine Harder.

Workshop on Farm Animal and Food Quality Imaging 2013: Espoo, Finland, June 17, 2013, Proceedings. Kgs. Lyngby : Technical University of Denmark, 2013. p. 31-36 (DTU Compute-Technical Report-2013; No. 12).

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

TY - GEN

T1 - Monitoring Motion of Pigs in Thermal Videos

AU - Gronskyte, Ruta

AU - Kulahci, Murat

AU - Clemmensen, Line Katrine Harder

PY - 2013

Y1 - 2013

N2 - 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.

AB - 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.

KW - Optical ow

KW - Blob detection

KW - Multiway principle components

KW - Quality control

M3 - Article in proceedings

T3 - DTU Compute-Technical Report-2013

SP - 31

EP - 36

BT - Workshop on Farm Animal and Food Quality Imaging 2013

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CY - Kgs. Lyngby

T2 - Workshop on Farm Animal and Food Quality Imaging 2013

Y2 - 17 June 2013 through 17 June 2013

ER -

Monitoring Motion of Pigs in Thermal Videos

Abstract

Workshop

Keywords

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