Dress Code Monitoring Method in Industrial Scene Based on Improved YOLOv8n and DeepSORT
Deep learning-based object detection has become a powerful tool in dress code monitoring. However, even state-of-the-art detection models inevitably suffer from false alarms or missed detections, especially when handling small targets such as hats and masks. To overcome these limitations, this paper...
| Main Authors: | , , , , |
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| Formato: | Artigo |
| Idioma: | English |
| Publicado: |
MDPI AG
2024-09-01
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| Series: | Sensors |
| Subjects: | |
| Acceso en liña: | https://www.mdpi.com/1424-8220/24/18/6063 |