RETRACTED ARTICLE: Application of embedded system and artificial intelligence platform in Taekwondo image feature recognition

Abstract

Nowadays, due to the development of digital information technology, computer vision technology can be used to optimize the image and effectively identify the content of the image is a big topic. Computer vision technology is based on the analysis and processing of video or image sequence to identify human motion video or image. In order to understand and explain the motion of the detected human moving object, it is necessary to extract and classify it. Intelligent video interface and other intelligent video fields. The research status of Taekwondo in China still remains in the traditional methods and means. Most of these research means and methods belong to the terminal analysis and evaluation of the dynamics and kinematics of technical movements, and the depth and breadth of the research still need to be further expanded, while few image systems carry out research on the technical movement process of Taekwondo and the intermediate links of the formation of movement effect. This paper studies the Taekwondo image feature recognition based on embedded system and artificial intelligence platform, and proposes a unique method of image segmentation, feature extraction and motion recognition. By using these methods to understand people’s behavior, we can greatly improve the accuracy of people’s understanding of behavior, and reduce the errors caused by traditional cognitive methods.