Record link: 
http://hdl.handle.net/20.500.12708/223700
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Title: 
Evaluation of YOLO-Pose for cattle pose estimation from videos
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Citation: 
Zhao, K., Daadouch, S., Roth, P. M., & Gelautz, M. (2025). Evaluation of YOLO-Pose for cattle pose estimation from videos. In Proceedings of 3rd U.S. Precision Livestock Farming Conference (USPLF 2025) (pp. 658–660). https://doi.org/10.1016/j.anscip.2025.08.244
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Publisher DOI: 
10.1016/j.anscip.2025.08.244
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Publication Type: 
Inproceedings - Full-Paper Contribution
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Language: 
English
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Authors: 
Zhao, Kui 
Daadouch, Salma 
Roth, Peter M. 
Gelautz, Margrit 
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Organisational Unit: 
E193-01 - Forschungsbereich Computer Vision 
E056-19 - Fachbereich Precision Livestock Farming 
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Published in: 
Proceedings of 3rd U.S. Precision Livestock Farming Conference (USPLF 2025) 
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Volume: 
16
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Date (published): 
2025
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Event name: 
3rd U.S. Precision Livestock Farming Conference (USPLF 2025) 
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Event date: 
2-Jun-2025 - 5-Jun-2025
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Event place: 
United States of America (the)
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Number of Pages: 
3
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Peer reviewed: 
Yes
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Keywords: 
Precision livestock farming; YOLO-Pose; Pose Estimation; Real-time Processing; Cattle Monitoring; Video Analysis; Behavioral Recognition
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Project title: 
PLFDoc: Precision Livestock Farming: DFH 34-N (FWF - Österr. Wissenschaftsfonds) 
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Research Areas: 
Visual Computing and Human-Centered Technology: 100%
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Science Branch: 
1020 - Informatik: 90%
1010 - Mathematik: 10%
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Appears in Collections:
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