Individual behavior tracking of heifers by using object detection algorithm YOLOv4

Individual behavior tracking of heifers by using object detection algorithm YOLOv4

Standing and lying times of animals are often used as an indicator to assess welfare and health status. Changes in standing and lying times due to health problems or discomfort can reduce productivity. Since manual evaluation is time-consuming and cost-intensive, video surveillance offers an opportu...

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Bibliographic Details
Main Authors: Sarah Jahn, Gabriel Schmidt, Lisa Bachmann, Robert Kammerer, Helen Louton, Anne K. Schütz, Timo Homeier-Bachmann
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-01-01
Series:Frontiers in Animal Science
Subjects:
animal behavior
computer vision
YOLO(v4)
heifer
individual detection
Holstein Friesian
Online Access:https://www.frontiersin.org/articles/10.3389/fanim.2024.1499253/full
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https://www.frontiersin.org/articles/10.3389/fanim.2024.1499253/full

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