Cargando…

YOLOv5-AC: Attention Mechanism-Based Lightweight YOLOv5 for Track Pedestrian Detection

In response to the dangerous behavior of pedestrians roaming freely on unsupervised train tracks, the real-time detection of pedestrians is urgently required to ensure the safety of trains and people. Aiming to improve the low accuracy of railway pedestrian detection, the high missed-detection rate...

Descripción completa

Detalles Bibliográficos
Autores principales: Lv, Haohui, Yan, Hanbing, Liu, Keyang, Zhou, Zhenwu, Jing, Junjie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9371428/
https://www.ncbi.nlm.nih.gov/pubmed/35957461
http://dx.doi.org/10.3390/s22155903