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CageDAR-DeepSORT: An Improved Real-time Multi-object Tracking Algorithm for Caged Chickens Based on DeepSORT
DOI:10.1016/j.atech.2026.101978.png)
摘要
En 中文
• 提出了CageDAR-DeepSORT用于笼养鸡追踪
• YOLOv11-AD:高精度,2.09M参数,63.3 FPS
• DARNet在ReID中达到95.7%的mAP和80.1%的Rank-1
• 针对鸡舍环境优化追踪匹配策略
• 将ID切换次数减少至2,IDF1得分为81.69%
Keyword:
Multi-object tracking
DeepSORT
YOLOv11
Re-identification
Smart farming
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期刊
IF:
5.7
论文数:
2.5K
被引数:
2.5K
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