现代信息科技2024，Vol.8Issue(4)：50-55,6.DOI:10.19850/j.cnki.2096-4706.2024.04.011
基于深度学习的人体行为识别综述
Summary of Human Behavior Recognition Based on Deep Learning
摘要
Abstract
In recent years,human behavior recognition is a research hotspot in the field of computer vision,and it has been widely used in many fields,such as video surveillance,human-computer interaction and so on.With the development of Deep Learning,as one of the artificial neural networks with superior performance capabilities in the field,Convolutional Neural Networks plays an indispensable role in the field of action recognition.Based on Deep Learning,this paper summarizes the action recognition methods based on 2D CNN and 3D CNN,compares the performance of models built according to different algorithms,and summarizes the benchmark data sets.Finally,the research key points and difficulties of human action recognition in the future are discussed.关键词
动作识别/深度学习/卷积神经网络/图像分类Key words
action recognition/Deep Learning/Convolution Neural Networks/image classification分类
信息技术与安全科学引用本文复制引用
吴婷,刘瑞欣,刘明甫,刘海华..基于深度学习的人体行为识别综述[J].现代信息科技,2024,8(4):50-55,6.基金项目
国家自然科学基金项目资助项目(61773409) （61773409）
