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CageDAR-DeepSORT: An Improved Real-time Multi-object Tracking Algorithm for Caged Chickens Based on DeepSORT
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DOI：10.1016/j.atech.2026.101978.png)
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Abstract
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• Proposed CageDAR-DeepSORT for caged chicken tracking • YOLOv11-AD: high precision, 2.09M params, 63.3 FPS • DARNet achieves 95.7% mAP and 80.1% Rank-1 in ReID • optimization track matching strategy for chicken environment • Reduced ID switches to 2, IDF1 score of 81.69%
Keywords:
Multi-object tracking
DeepSORT
YOLOv11
Re-identification
Smart farming
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