Design of Smart Sports Guiding System Based on Agent Model and Video Tracking

With the continuous improvement of China’s sports level, some universities, cities and enterprises have established large stadiums. Intelligent sports system provides conditions for people to exercise and host large-scale events. At the same time, the safety of stadiums has also attracted great attention of the country. Intelligent vision detection and tracking is a new research direction in the field of computer vision in recent years. Based on the computer vision method, the video data obtained by the camera is decomposed and learned, and then the video is detected and tracked. This paper uses time-frequency tracking technology and agent model to build an intelligent sports guidance system. Because agent has independence and encapsulation, it can encapsulate social attributes and parameters into agent. Then, a single agent is regarded as a node in the network, and an agent-based social network model is constructed. In this part, there are two parts: the design of agent model and the construction of network.