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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Bibliographic Details
Main Authors: Qicheng Wang, Guoqiang Feng, Zongzhe Li
Format: Article
Language:English
Published: MDPI AG 2025-01-01
Series:Sensors
Subjects:
Online Access:https://www.mdpi.com/1424-8220/25/2/436
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