[Retracted] Posture Recognition and Behavior Tracking in Swimming Motion Images under Computer Machine Vision

Abstract

This study is to explore the gesture recognition and behavior tracking in swimming motion images under computer machine vision and to expand the application of moving target detection and tracking algorithms based on computer machine vision in this field. The objectives are realized by moving target detection and tracking, Gaussian mixture model, optimized correlation filtering algorithm, and Camshift tracking algorithm. Firstly, the Gaussian algorithm is introduced into target tracking and detection to reduce the filtering loss and make the acquired motion posture more accurate. Secondly, an improved kernel-related filter tracking algorithm is proposed by training multiple filters, which can clearly and accurately obtain the motion trajectory of the monitored target object. Finally, it is proposed to combine the Kalman algorithm with the Camshift algorithm for optimization, which can complete the tracking and recognition of moving targets. The experimental results show that the target tracking and detection method can obtain the movement form of the template object relatively completely, and the kernel-related filter tracking algorithm can also obtain the movement speed of the target object finely. In addition, the accuracy of Camshift tracking algorithm can reach 86.02%. Results of this study can provide reliable data support and reference for expanding the application of moving target detection and tracking methods.

Research on the Application of VR Technology based on Human Posture Recognition in Online Physical Education

“…They incorporated the Gaussian mixture model and filtering algorithm into the recognition tracking system. The experimental results indicated that this model could obtain the motion trajectory of the object relatively completely, and the filtering tracking algorithm could obtain the motion speed of the object better [10].…”

Research on the evaluation of sports training effect based on artificial intelligence technology

“…Virtual reality technology can provide coaches and athletes with a virtual world, in which rich sensory stimulation and smooth interaction methods allow athletes to have an immersive experience. The application of virtual reality technology in sports training can not only avoid various disadvantages of traditional sports training, but also allow coaches to observe and analyze the characteristics and deficiencies of athletes in virtual reality technology [4][5][6] . In sports training, human body posture recognition is helpful to help athletes understand the points of force and focus of different movements.…”

Retracted: Posture Recognition and Behavior Tracking in Swimming Motion Images under Computer Machine Vision

“…Tis article has been retracted by Hindawi following an investigation undertaken by the publisher [1]. Tis investigation has uncovered evidence of one or more of the following indicators of systematic manipulation of the publication process:…”