Title: Basketball Players’ Behavior Prediction Method Based on Video
Abstract: Basketball is a very competitive sport, in which the behavior of basketball players is the key factor to win. If we can fully predict the behavior of basketball players, then we can benefit more easily (successful defense or successful score). In this case, many basketball teams have set up a professional analysis team. The main work of these teams is to make statistics on the behavior of basketball players according to the basketball game video. According to the statistical results, we can predict the behavior of basketball players. However, simple statistics can not cover the complexity of basketball players’ behavior on the court, so although the statistical results have predictive utility, there are defects in the utility level. At this time, we need to use more advanced behavior prediction methods to predict basketball players’ behavior according to the basketball game video, this paper will take the improved RBF network player behavior prediction method as the research object, discuss the basic concept of RBF method, and then put forward the application scheme of the improved RBF network player behavior prediction method. Finally, taking the basketball game video as an example, the behavior of the players in the game is predicted, and then compared with the results, the effectiveness of this method is verified by the comparison results.
Publication Year: 2021
Publication Date: 2021-09-26
Language: en
Type: book-chapter
Indexed In: ['crossref']
Access and Citation
Cited By Count: 1
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