Tennis Assistant Referee System based on Intelligent Sensor Network and Data Understanding
Lin Liu · 2021
Tennis assistant referee system based on intelligent sensor network and data understanding is designed in this paper. These integrated sensors perceive, collect and also then monitor the information of the target object through mutual cooperation. It is essential while dealing with the data complex issues. In order to improve the tracking accuracy of the model, the method of multi-granularity feature is used to judge the tracking result, and with the tracking model, the assisted model is considered. The experiment compared with state-of-the-art ones have proven the efficiency and the QoS performance.