A Review of Research on Human Behavior Recognition Methods Based on Deep Learning

As an important research hotspot in the field of computer vision, human behavior recognition has important research significance and wide application prospects in many fields such as intelligent surveillance, smart home, and virtual reality, and has attracted much attention from scholars at home and abroad. With the great success of deep learning in image classification, the use of deep learning in human behavior recognition has gradually become a development trend, but there are still some difficulties and challenges. This paper firstly introduces the human behavior recognition methods based on deep learning, secondly, organizes the human behavior dataset, compares the performance of each behavior recognition algorithm and the specific applications, and finally, analyzes the challenges faced by behavior recognition and the outlook for the future.