Publikation: Bidrag til bog/antologi/rapport/proceeding › Bidrag til bog/antologi › Forskning › peer review
Publikation: Bidrag til bog/antologi/rapport/proceeding › Bidrag til bog/antologi › Forskning › peer review
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TY - CHAP
T1 - Assessment of open-source programs for automated tracking of individual pigs within a group
AU - Wurtz, Kaitlin Elizabeth
AU - Norton, Tomas
AU - Siegford, Janice
AU - Steibel, Juan
PY - 2022/9/9
Y1 - 2022/9/9
N2 - As researchers search for tools to automate individual animal tracking, particularly in the livestock industry, they come across papers that make strong claims about the ability of such programs to accurately track individual animals within group-housed laboratory settings and imply that this ability will translate to other situations and species. We selected four of these programs (idTracker, ToxTrac, BioTracker, and Ctrax) and tested their ability to track single, pairs, and groups of pigs in an indoor pen typical of commercial farms and a pen modified to improve lighting, contrast, and camera location. We concluded that at present, these four tracking programs do not perform robustly enough to be adapted for use processing videos from commercial-style pig farms, including smaller research farms. It is hoped that identifying limitations of detection programs can help make systems more robust and user-friendly for future use.
AB - As researchers search for tools to automate individual animal tracking, particularly in the livestock industry, they come across papers that make strong claims about the ability of such programs to accurately track individual animals within group-housed laboratory settings and imply that this ability will translate to other situations and species. We selected four of these programs (idTracker, ToxTrac, BioTracker, and Ctrax) and tested their ability to track single, pairs, and groups of pigs in an indoor pen typical of commercial farms and a pen modified to improve lighting, contrast, and camera location. We concluded that at present, these four tracking programs do not perform robustly enough to be adapted for use processing videos from commercial-style pig farms, including smaller research farms. It is hoped that identifying limitations of detection programs can help make systems more robust and user-friendly for future use.
KW - precision livestock farming
KW - behaviour
KW - digital cameras
KW - health
KW - welfare
U2 - 10.3920/978-90-8686-934-3_13
DO - 10.3920/978-90-8686-934-3_13
M3 - Book chapter
SN - 978-90-8686-382-2
SP - 213
EP - 230
BT - Practical Precision Livestock Farming
A2 - Banhazi, T.
A2 - Halas, V.
A2 - Maroto-Molina, F.
PB - Wageningen Academic Publicers
CY - Wageningen
ER -