Real-time vehicle counting using custom YOLOv8n and DeepSORT for resource-limited edge devices
Recently, there has been a significant increase in the use of deep learning and low-computing edge devices for analysis of video-based systems, particularly in the field of intelligent transportation systems (ITS). One promising application of computer vision techniques in ITS is in the dev...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English English |
| Published: |
Universitas Ahmad Dahlan
2024
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| Subjects: | |
| Online Access: | http://irep.iium.edu.my/110556/7/110556_Real-time%20vehicle%20counting%20using%20custom%20YOLOv8n.pdf http://irep.iium.edu.my/110556/13/110556_Real-time%20vehicle%20counting%20using%20custom%20YOLOv8n_SCOPUS.pdf http://irep.iium.edu.my/110556/ http://telkomnika.uad.ac.id/index.php/TELKOMNIKA/article/view/25096/11804 http://doi.org/10.12928/telkomnika.v22i1.25096 |
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http://irep.iium.edu.my/110556/7/110556_Real-time%20vehicle%20counting%20using%20custom%20YOLOv8n.pdfhttp://irep.iium.edu.my/110556/13/110556_Real-time%20vehicle%20counting%20using%20custom%20YOLOv8n_SCOPUS.pdf
http://irep.iium.edu.my/110556/
http://telkomnika.uad.ac.id/index.php/TELKOMNIKA/article/view/25096/11804
http://doi.org/10.12928/telkomnika.v22i1.25096