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At present, with the vigorous development of sports and the internationalization process of Wushu competition, the competition rules are constantly improving, and the Wushu routine competition is developing towards the direction of fast action combination and action difficulty. The existence and development of Competitive Wushu. Wushu routine is not only different from other competition quality regulations, but also has its unique performance. In this case, how to effectively measure the conventional level and the technical level of athletes has become the main problem to be solved in the sports field. On the basis of domestic and foreign research, this paper systematically studies the modeling and online updating methods of 2D PCA, and applies the 2D PCA algorithm to the foreground partition of overlapped blocks. Then, the research methods of background difference, optical flow and frame difference are used to establish the research model of adaptive recognition method of martial Arts decomposition action VR image based on feature extraction The results show that the extraction accuracy of the improved method is improved by 30%, and the action accuracy is higher, which has certain practical value.

Retracted: Adaptive Recognition Method for VR Image of Wushu Decomposition Based on Feature Extraction