Spatio-Temporal Behavior Detection in Field Manual Labor Based on Improved SlowFast Architecture

Field manual labor behavior recognition is an important task that applies deep learning algorithms to industrial equipment for capturing and analyzing people’s behavior during field labor. In this study, we propose a field manual labor behavior recognition network based on an enhanced SlowFast archi...

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Bibliographic Details
Main Authors: Mingxin Zou, Yanqing Zhou, Xinhua Jiang, Julin Gao, Xiaofang Yu, Xuelei Ma
Format: Article
Language:English
Published: MDPI AG 2024-04-01
Series:Applied Sciences
Subjects:
Online Access:https://www.mdpi.com/2076-3417/14/7/2976