基于多媒体图像动作实时采集算法的体育舞蹈智能训练校正系统

Lu Pan
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引用次数: 0

摘要

基于多媒体图像动作实时采集算法的体育舞蹈智能训练校正系统是本文的主要研究重点。采用数据增强技术进一步扩展骨架数据,增加采集样本的观察角度,提高样本的多样性。这增强了模型的泛化能力。此外,对多媒体图像的分析可以从不同的角度来理解。在传统方法的基础上,通过提取多媒体图像的个性化特征,采用边缘像素信息重组和特征分布式重建的方法。并将所设计的模型应用于舞蹈智能训练校正系统。然后对鲁棒性和性能进行测试。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Sports Dance Intelligent Training Correction System based on Multimedia Image Action Real-Time Acquisition Algorithm
Sports dance intelligent training correction system based on the multimedia image action real-time acquisition algorithm is the main focus of this paper. The skeleton data is further extended by employing data enhancement technology, the diversity of samples is improved by increasing the observation angle of collected samples. This enhances the generalization ability of the model. Further, the analysis of the multimedia images can be understood from different aspects. According to the traditional method, by extracting the personalized features of multimedia images, using edge pixel information recombination and feature distributed reconstruction methods. Furthermore, the designed model is applied to the dance intelligent training correction system. Robustness and performance are then tested.
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