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Research on sports video detection technology motion 3D reconstruction based on hidden Markov model

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Abstract

The difficulty of sports video detection technology lies in how to detect the end point segment from the complex video speech environment, and the artificial intelligence technology is still in the research stage. Based on this, this study builds a model based on the hidden Markov model. At the same time, the video file noise reduction processing is performed by the spectral subtraction noise reduction algorithm of the complex domain extension. Moreover, combined with the actual situation of sports competitions, this paper proposes an endpoint detection algorithm based on variance characteristics, and comprehensively designs a speech recognition model based on Markov model. In order to verify the validity of the model, the performance of the model is verified by an example, and the real sports competition is taken as the research object, and the accuracy rate and the recall rate are set as performance indicators. The research shows that the model proposed in this study performs well in both accuracy and performance rate and can be used as a reference for artificial intelligence application to sports video detection technology.

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Authors and Affiliations

  1. Physical Education Department, Shanghai University of Finance and Economics, Shanghai, 200433, China

    Yao Lu & Shuyang An

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  1. Yao Lu
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  2. Shuyang An
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Correspondence to Shuyang An.

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Lu, Y., An, S. Research on sports video detection technology motion 3D reconstruction based on hidden Markov model. Cluster Comput 23, 1899–1909 (2020). https://doi.org/10.1007/s10586-020-03097-z

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