Faster R-CNN-LSTM Construction Site Unsafe Behavior Recognition Model

Faster R-CNN-LSTM Construction Site Unsafe Behavior Recognition Model

Aiming at the problem of insufficient accuracy caused by the insufficient mining of spatiotemporal features in the process of unsafe behavior and danger identification of construction personnel, the traditional two-stream convolution model is improved, and a two-stream convolution dangerous behavior...

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Bibliographic Details
Main Authors:	Xu Li, Tianxuan Hao, Fan Li, Lizhen Zhao, Zehua Wang
Format:	Article
Language:	English
Published:	MDPI AG 2023-09-01
Series:	Applied Sciences
Subjects:	behavior security recognition Convolutional Neural Networks long short-term memory networks Faster R-CNN
Online Access:	https://www.mdpi.com/2076-3417/13/19/10700

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