基于深度学习的人体行为识别方法研究综述

Research on Human Behavior Recognition Methods Based on Deep Learning

近年来,由于深度学习的发展,人体行为识别由于其前景广阔迅速成为研究热点,基于深度学习的人体行为识别方法在智慧城市、智慧家居、智慧社区等有很高的应用价值。深度学习依靠计算机视觉通过其强大的表达能力在图像领域的应用不断延伸。在这基础上,介绍了一些基于深度学习的人体行为方法,分析了该方法的优劣性,而后进行总结。

In recent years,due to the development of deep learning,human behavior recognition has rapidly become a research hotspot due to its broad prospects.Human behavior recognition methods based on deep learning have high application value in smart city,smart home,smart community and so on.Deep learning relies on computer vision to continuously extend the application in the field of image through its powerful expression ability.On this basis,this paper introduces some human behavior methods based on deep learning,analyzes the advantages and disadvantages of the methods,and then makes a summary.