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Abnormal turkey behaviour detection using self-supervised video anomaly detection and multiple object tracking
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DOI：10.1016/j.compag.2025.110856.png)
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Abstract
En 中文
• Design and creation of three different turkey datasets for different tasks. • Introduce a third association part based on turkey head area to improve ByteTrack. • Train a self-supervised anomaly detector to detect abnormal behaviours in turkeys.
Keywords:
Multi-object tracking
Anomaly detection
Animal detection, Self-supervised learning
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