Summary of Human Behavior Recognition Based on Deep Learning
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.
国家科技期刊平台
NSTL
万方数据
