Fusion of Lightweight Networks and DeepSort for Fatigue Driving Detection Tracking Algorithm

The fatigue driving detection process faces issues such as a large number of parameters, low accuracy and insufficient continuous detection. To address these, this paper proposes a method combining enhanced YOLOv5s and DeepSort for fatigue driving detection. First, the improved Mobilenet_ECA...

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Detalles Bibliográficos

Principais autores:	Kai Xu, Fu Li, Deji Chen, Linlong Zhu, Quan Wang
Formato:	Artigo
Idioma:	Inglês
Publicado:	IEEE 2024-01-01
Series:	IEEE Access
Assuntos:	Fatigue driving detection YOLOv5s lightweight backbone FocalEIOU loss DeepSort
Acceso en liña:	https://ieeexplore.ieee.org/document/10496102/
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