Artificial intelligence system based on the layout effect of both sides in volleyball matches

Author:

Zhao Kai1,Jiang Wei1,Jin Xinlong1,Xiao Xuming1

Affiliation:

1. Beijing Sport University, China Volleyball Sport College, Haidian, Beijing, China

Abstract

The traditional sports match analysis mostly adopts the method of manual observation and recording, which is not only time-consuming and laborious but also has the defects of subjectivity and inaccuracy in the judgment results, resulting in the deviation of the match data analysis and statistical results. The purpose of this paper is to study an artificial intelligence system that can automatically analyze and evaluate the effect of both sides in volleyball matches. In this paper, the system is divided into two steps: detection and tracking of moving objects, recognition, and classification of players’ behaviors and movements. About moving target detection and tracking, this paper proposes a moving target fast detection framework based on a mixture of mainstream technologies and a MeanShift target tracking method based on Kalman filtering and adaptive target region size. For behavior and action recognition and classification, this paper proposes a classifier combining BP neural network and support vector machine. Experimental results show that the proposed algorithm and classifier are effective. By analyzing the performance of the proposed classifier, the classification accuracy is 98%.

Publisher

IOS Press

Subject

Artificial Intelligence,General Engineering,Statistics and Probability

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