Abstract
It is relatively difficult to obtain the real-time information of the football position in the connected area formed by the ball and the line of the stadium in the football match video. This paper proposes a method for identifying the football trajectory. The least squares algorithm is applied to the football movement trajectory recognition function, and the Viterbi algorithm detection is screened according to the movement recognition function, and the football movement trajectory information is complemented for the error of the football movement in the football video. Finally, the results of an example show that the method proposed in this paper can accurately identify the changes in the motion trajectory in the video.
Published Version
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