Abstract
In order to improve the accuracy of traditional motion image pose contour extraction and shorten the extraction time, a motion image pose contour extraction method based on B-spline wavelet is proposed. Moving images are acquired through the visual system, the information fusion process is used to perform statistical analysis on the images containing motion information, the location of the motion area is determined, convolutional neural network technology is used to preprocess the initial motion image pose contour, and B-spline wavelet theory is used. The preprocessed motion image pose contour is detected, combined with the heuristic search method to obtain the pose contour points, and the motion image pose contour extraction is completed. The simulation results show that the proposed method has higher accuracy and shorter extraction time in extracting motion image pose contours.
Highlights
Sports image pose contour extraction refers to the process of finding the required contours of sports targets in all frame images in a certain video sequence [1]
Literature [16] method Literature [17] method method of the sports image. e extraction time of the sports image pose contour is within 55 s and 40 s. e sports image pose based on the B-spline wavelet-based sports image pose contour extraction method is proposed in this paper. e contour extraction time is shorter than that of the literature method
In the conventional sports image detection process, the target contour feature extraction is a very complicated process, and it is necessary to study a method that is convenient for calculation
Summary
Received 19 August 2021; Revised 8 October 2021; Accepted 12 October 2021; Published 26 October 2021. In order to improve the accuracy of traditional motion image pose contour extraction and shorten the extraction time, a motion image pose contour extraction method based on B-spline wavelet is proposed. Moving images are acquired through the visual system, the information fusion process is used to perform statistical analysis on the images containing motion information, the location of the motion area is determined, convolutional neural network technology is used to preprocess the initial motion image pose contour, and B-spline wavelet theory is used. E preprocessed motion image pose contour is detected, combined with the heuristic search method to obtain the pose contour points, and the motion image pose contour extraction is completed. E simulation results show that the proposed method has higher accuracy and shorter extraction time in extracting motion image pose contours Moving images are acquired through the visual system, the information fusion process is used to perform statistical analysis on the images containing motion information, the location of the motion area is determined, convolutional neural network technology is used to preprocess the initial motion image pose contour, and B-spline wavelet theory is used. e preprocessed motion image pose contour is detected, combined with the heuristic search method to obtain the pose contour points, and the motion image pose contour extraction is completed. e simulation results show that the proposed method has higher accuracy and shorter extraction time in extracting motion image pose contours
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