Vehicle Flow Detection and Tracking Based on an Improved YOLOv8n and ByteTrack Framework
Vehicle flow detection and tracking are crucial components of intelligent transportation systems. However, traditional methods often struggle with challenges such as the poor detection of small objects and low efficiency when processing large-scale data. To address these issues, this paper proposes...
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| Main Authors: | Jinjiang Liu, Yonghua Xie, Yu Zhang, Haoming Li |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2024-12-01
|
| Series: | World Electric Vehicle Journal |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2032-6653/16/1/13 |
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