A Lightweight Person Detector for Surveillance Footage Based on YOLOv8n
To enable person detection tasks in surveillance footage to be deployed on edge devices and their efficient performance in resource-constrained environments in real-time, a lightweight person detection model based on YOLOv8n was proposed. This model balances high accuracy with low computational cost...
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Main Authors: | Qicheng Wang, Guoqiang Feng, Zongzhe Li |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2025-01-01
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Series: | Sensors |
Subjects: | |
Online Access: | https://www.mdpi.com/1424-8220/25/2/436 |
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