Research output per year
Research output per year
E. Sadeghi, Zinan Guo, A. Chiumento, P. Havinga
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review
This study presents a non-invasive method using thermal imaging to estimate heart and respiration rates in calves, avoiding the stress from wearables. Using Kernelised Correlation Filters (KCF) for movement tracking and advanced signal processing, we targeted one ROI for respiration and four for heart rate based on their thermal correlation. Achieving Mean Absolute Percentage Errors (MAPE) of 3.08% for respiration and 3.15% for heart rate validates the efficacy of thermal imaging in vital signs monitoring, offering a practical, less intrusive tool for Precision Livestock Farming (PLF), improving animal welfare and management.
Original language | English |
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Title of host publication | 11th European Conference on Precision Livestock Farming |
Editors | Daniel Berckmans, Patrizia Tassinari, Daniele Torreggiani |
Publisher | European Conference on Precision Livestock Farming |
Pages | 1289-1296 |
Number of pages | 8 |
ISBN (Electronic) | 9791221067361 |
Publication status | Published - 2024 |
Event | 11th European Conference on Precision Livestock Farming, ECPLF 2024 - Bologna, Italy Duration: 9 Sept 2024 → 12 Sept 2024 |
Conference | 11th European Conference on Precision Livestock Farming, ECPLF 2024 |
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Abbreviated title | ECPLF |
Country/Territory | Italy |
City | Bologna |
Period | 9/09/24 → 12/09/24 |
Research output: Working paper › Preprint › Academic