A Hybrid Deep Learning and Improved SVM Framework for Real-Time Railroad Construction Personnel Detection with Multi-Scale Feature Optimization

A Hybrid Deep Learning and Improved SVM Framework for Real-Time Railroad Construction Personnel Detection with Multi-Scale Feature Optimization

Railroad construction sites are high-risk environments where monitoring personnel safety is critical for preventing accidents and enhancing construction efficiency. Traditional manual monitoring and image processing methods exhibit deficiencies in real-time performance and accuracy. This paper propo...

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Bibliographic Details
Main Authors: Jianqiu Chen, Huan Xiong, Shixuan Zhou, Xiang Wang, Benxiao Lou, Longtang Ning, Qingwei Hu, Yang Tang, Guobin Gu
Format: Article
Language:English
Published: MDPI AG 2025-03-01
Series:Sensors
Subjects:
image recognition
personnel detection
ISVM
deep learning
image preprocessing
PCA
Online Access:https://www.mdpi.com/1424-8220/25/7/2061
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