Sports Training 3D Human Motion Simulation and Video Analysis Based on Fish Swarm Algorithm

Computer vision is an important branch of computer science and artificial intelligence. The main content of its research is how to use a variety of imaging systems instead of visual organs as signal input means, by the computer to complete the processing and interpretation of information instead of the brain. That is, from the traditional method mainly based on human eye observation to the human motion measurement method based on high precision video capture and analysis, from the experience-based training analysis method to the human motion analysis method based on human motion simulation change. With the maturity and popularization of motion capture technology, it has become a reality to acquire a large number of 3d motion data sets efficiently and quickly. Digital graphics and image technology are introduced into sports training, and a 3d human motion simulation and video analysis system for sports training is developed. It has become an important development direction of sports teaching to conduct standardized guidance and scientific teaching for sports participants through sports video. The ultimate research goal of computer vision is to enable computers to observe and understand the world through vision as humans do. Among them, the realization of key frame extraction, automatic recognition and classification of 3D human motion data is an important research content of human motion analysis, and an important premise and basis for the effective management and reuse of motion capture data.