Integration of DeepSORT and RFID Technology for Enhanced Human Tracking
Human activity tracking enhances safety and reduces the risk of people getting lost or kidnapped. This paper presents a human tracking system using the YOLOv8n detection model, DeepSORT tracking algorithm, and RFID technologies on low-power devices like the Raspberry Pi. The passive RFID tags, wh...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Northern Technical University
2024-12-01
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| Series: | NTU Journal of Engineering and Technology |
| Subjects: | |
| Online Access: | https://journals.ntu.edu.iq/index.php/NTU-JET/article/view/1095 |
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