ABSTRACT

In recent years, motion recognition has become a hot research topic in the field of computer vision and has great research worth. Scholars and research institutions at home and abroad have made a lot of research and achieved good results. However, the research results of applying motion recognition technology to dance video are relatively few, mainly because the complexity of human motion in dance video is relatively high. In article, an optimized design scheme for motion recognition research of dance video based on computer vision and image processing is proposed. The collected dance video is preprocessed, including grayscale, background subtraction and filter denoising, so as to extract the character features in the video image. Then, the method of self-organizing mapping neural network (SOM) in computer vision is used to realize the recognition of dance movements. Finally, the simulation test and analysis are carried out. The simulation results show that the proposed arithmetic has a certain accuracy, which is 9.34% higher than the traditional arithmetic. The research of motion recognition method based on dance video will also play a certain reference role for the research of human motion recognition in a large number of real and complex environments, and enrich the application field of motion recognition technology.

摘要

近年来，动作识别已成为计算机视觉领域的研究热点，具有巨大的研究价值。国内外学者和研究机构进行了大量的研究并取得了良好的成果。然而，将动作识别技术应用于舞蹈视频的研究成果还比较少，主要是因为舞蹈视频中人体动作的复杂度比较高。文章提出了一种基于计算机视觉和图像处理的舞蹈视频动作识别研究的优化设计方案。对采集到的舞蹈视频进行预处理，包括灰度、背景减除和滤波器去噪，以提取视频图像中的人物特征。然后，利用计算机视觉中的自组织映射神经网络（SOM）的方法实现舞蹈动作的识别。最后进行仿真测试与分析。仿真结果表明，该算法具有一定的精度，比传统算法提高了9.34%。基于舞蹈视频的动作识别方法的研究也将为大量真实复杂环境下的人体动作识别研究起到一定的参考作用，丰富动作识别技术的应用领域。