A pipeline combining zero-shot detection, motion-aware tracking, and vision transformers achieves 94.2% accuracy on pig behavior recognition tasks, improving 21.2 points over prior methods on the Edinburgh Pig Dataset.
If tracking temporarily fails due to occlusion, the system can recover in subsequent frames without cascading errors through the entire system
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A Computer Vision Pipeline for Individual-Level Behavior Analysis: Benchmarking on the Edinburgh Pig Dataset
A pipeline combining zero-shot detection, motion-aware tracking, and vision transformers achieves 94.2% accuracy on pig behavior recognition tasks, improving 21.2 points over prior methods on the Edinburgh Pig Dataset.