刍议深度学习视角下的人体行为识别方法

Discussion on human behavior recognition method from the perspective of deep learning

伴随智能设备在近些年来的不断发展,人体行为识别运用范围得以进一步扩大。但由于传统人工特征提取的行为识别仍有一些问题存在,如准确率低、效率低等,这就使基于深度学习的个体行为识别成为新的研究方向。立足深度学习的人体行为识别效率和准确率,相较于传统方法都更为优异。而本文则从深度学习视角出发,论述了人体行为的识别方法,仅供参考。

With the continuous development of smart devices in recent years,the scope of application of human behavior recognition has been further expanded.However,due to the existence of some problems in traditional artificial feature extraction,such as low accuracy and low efficiency,this makes the individual behavior recognition based on deep learning a new research direction.The efficiency and accuracy of human behavior recognition based on deep learning is superior to traditional methods.This article,from the perspective of deep learning,discusses the identification method of human behavior,for reference only.