Abstract
In order to further improve the scientific guidance level of sports training, this paper realizes the development and application research of a new sports training video analysis platform. The core part of the experiment is target tracking. When target tracking, multiple trackers are used to realize comprehensive data collection, and then human-computer interaction is realized through visualization mode. Experimental data shows that the system based on big data technology can accurately describe the sports training process, can effectively improve the accuracy and recall rate of video key frame extraction, and can be used in sports guidance training. The experimental results show that by using big data technology research methods and traditional methods to select 50, 100, 150, and 200 frames of data for video platform analysis and comparison, it is found that the extraction rate and recall rate under the big data technology method are higher than those of the traditional method. The sports training sports video analysis system designed based on big data technology has strong target tracking ability, and the economic cost is relatively optimistic.
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Song, Y. (2021). Development and Application of Sports Video Analysis Platform in Sports Training in the Big Data Era. In: Xu, Z., Parizi, R.M., Loyola-González, O., Zhang, X. (eds) Cyber Security Intelligence and Analytics. CSIA 2021. Advances in Intelligent Systems and Computing, vol 1342. Springer, Cham. https://doi.org/10.1007/978-3-030-70042-3_78
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DOI: https://doi.org/10.1007/978-3-030-70042-3_78
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