Abstract:

When volleyball players are blocking and spikling, their upper limbs show the characteristics of turbulent movement. The velocity at the end of the arms generates a non-steady-state fluid trajectory similar to the water vortex ring in the diving phenomenon, making it difficult to capture the position of the end of the volleyball players' arms and resulting in a large error in tracking the end position. To this end, a real-time tracking algorithm for the end trajectories of both arms in volleyball blocking and spikstroke actions is designed. By using the boundary area information reconstruction method, the start and end frames of the volleyball blocking spike action in the action video are determined. By using the LM(Levenberg-Marquardt algorithm) algorithm, the Euler Angle between the skeletal points at the ends of the arms in the start and end frame images is taken as the optimization variable to capture the positions at the ends of the arms of volleyball players. Based on the capture results of the end positions of both arms, the Mean Shift algorithm is selected. By measuring the similarity between the target model for tracking the end trajectories of both arms and the candidate models, the end trajectories of both arms for volleyball blocking spiks are tracked in real time. The experimental results show that this method can accurately track the end trajectories of both arms of the volleyball blocking spikstroke action. The end position error is less than 3 cm, and the tracking speed is higher than 30 f / s, which can meet the requirements of volleyball action analysis in a high-speed motion environment.

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