Automatic recognition method for athlete training error action images based on 3D image visual features
In order to reduce the error probability of athletes'training movements and improve their training level,an automatic recognition method of athletes'training errors based on visual features of images was proposed.The visual feature point detection method of 3D image is used to extract the athletes'training action images.The visual feature information of the athletes'training wrong action is analyzed by the kinematic parameter fusion method of constraint point and end point.The 3D reconstruction of the ath-letes'training action is realized by using geometric space identification analysis and image visual parameter feature reconstruction.Under the spatial fusion mechanism of Triangulation irregular network,Harris corner information and edge contour feature information of athletes'training errors are extracted through three-dimensional structure recombination of image visual features and blur denoising processing.Contour tree model results of sectional sections are established,and according to the results of image visual feature acqui-sition and information fusion,To realize the automatic recognition of athletes training wrong movements.The simulation results show that the automatic recognition accuracy of the wrong movements of athletes training using this method is more than 95％,the repetition rate of feature points is the lowest 0.012,the feature recognition is high,and the dynamic positioning and correcting ability of the wrong movements is strong.
万方数据
维普
