Human Action Recognition Based on Deep Learning

Deep convolutional network has achieved great success in visual recognition of static images, while it is not so advantageous as traditional methods in action recognition in videos. However, in recent years, researchers have proposed a series of human action recognition networks for videos, and proposed some efficient and effective methods for action recognition. This paper will enumerate the current main action recognition network model. First we will introduce Two-Stream Convolutional Network, Temporal Segment Networks and C3D Network, and then we will introduce an efficient method for action recognition. The purpose is to introduce the characteristics of different network models, and provide some valuable reference for the research of action recognition.