Automatic analysis method for synchronization of two-person synchronized diving

Abstract

The invention provides a method for analyzing the synchronism of double-people diving, which mainly comprises: extracting movement targets on the basis of dynamic background reconstruction in movement videos of double-people diving, representing and extracting the synchronism characteristics on the basis of synchronism grading factors in diving rules, and adopting a bias character statistic learning method to construct synchronism evaluation functions to carry out synchronism evaluation. The method can automatically extract athlete external outlines in the movement videos of double-people diving. The method provides a method for effectively representing the synchronism characteristics according to the diving rules. The invention also introduces the sequencing idea which is normally used in bias character statistic learning into the problem of constructing the synchronism evaluation functions of the movement videos of double-people diving, and the absolute score problem is converted into the relative ordering problem. Finally, the synchronism of double-people diving can be automatically estimated through calculating the synchronism evaluation function value of the movement videos of double-people diving. The method can estimate the synchronism of double-people diving accurately, effectively and automatically.

Description

technical field [0001] The invention belongs to the field of computer application technology, and in particular relates to computer vision technology, in particular to a method for automatically assessing synchronous analysis of multi-media content in double diving. Background technique [0002] In order to reduce the unfairness in the game, modern computer technology is increasingly used in sports games, the British Hawk-Eye company developed a set of auxiliary referee system for tennis games: Hawk-Eye system, and obtained a huge success. The DartFish system, a sports technology and tactical video analysis system developed by the Swiss DartFish company, can extract the technical parameters of athletes (for example, joint positions and angles, center of mass, etc.) from sports videos. By analyzing this information, the DartFish system can provide athletes with corresponding guidance, thereby improving the training level. [0003] The double diving competition is a sports e...

AI Technical Summary

Problems solved by technology

[0004] In order to solve the pressure problem brought by the manual referee method in the prior art to the synchronicity referee, the purpose of the present invention is to reduce the pressure of the synchronicity referee by adopting the method of computer automatic evaluation, improve the fairness of the game, and realize a game that can A referee system for objectively evaluating the referee's level and fairness. For this reason, the present invention uses computer analysis technology to evaluate the technical actions in the competition, and uses computer vision methods to automatically evaluate and study the synchronism of double diving, and proposes a synchronism Evaluation method for automatic analysis

Images