Abstract
At present, the existing algorithm for detecting the parabola of tennis serves neglects the pre-estimation of the global motion information of tennis balls, which leads to great error and low recognition rate. Therefore, a new algorithm for detecting the parabola of tennis service based on video image analysis is proposed. The global motion information is estimated in advance, and the motion feature of the target is extracted. A tennis appearance model is established by sparse representation, and the data of high-resolution tennis flight appearance model are processed by data fusion technology to track the parabolic trajectory. Based on the analysis of the characteristics of the serve mechanics, according to the nonlinear transformation of the parabolic trajectory state vector, the parabolic trajectory starting point is determined, the parabolic trajectory is obtained, and the detection algorithm of the parabolic service is designed. Experimental results show that compared with the other two algorithms, the algorithm designed in this paper can recognize the trajectory of the parabola at different stages, and the detection accuracy of the parabola is higher in the three-dimensional space of the tennis service.
Highlights
With the development of the economy, tennis has become more and more popular in China
Parabolic trajectory is the direct factor that affects the result of tennis match. erefore, it is necessary to track and detect the parabolic trajectory of tennis service
Our contribution is threefold: (1) At present, the existing algorithm for detecting the parabola of tennis serves neglects the pre-estimation of the global motion information of tennis balls, which leads to great error and low recognition rate. erefore, a new algorithm for detecting the parabola of tennis service based on video image analysis is proposed
Summary
With the development of the economy, tennis has become more and more popular in China. At the same time, based on the structural characteristics of tennis court, the influence of adverse interference factors outside the court is excluded On this basis, the Kalman filter is used to predict and modify the particles, integrate the current observation information into the particle filter process, estimate the mean and covariance of the predicted particle state, make the Security and Communication Networks dynamic particles closer to the posterior probability distribution, and improve the tracking accuracy of tennis moving target. The above two traditional methods ignore the pre-estimation of the global motion information of tennis, resulting in low accuracy of serve parabolic detection results and unsatisfactory trajectory recognition rate in different directions. Erefore, a tennis serve parabolic detection algorithm based on video image analysis technology is proposed.
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