Identification and Analysis of Limb Swing Image in Short Run Training Based on Visual Signal Processing

In order to improve the ability of the accurate detection and recognition of the swing of the training limb of the sprinter, a method of image recognition based on the visual signal processing for the motion of the limb is proposed. The method comprises the following steps of: analyzing the motion characteristic quantity of the swing of a sprinting training limb, carrying out a sprinting training limb swinging image acquisition by adopting an infrared characteristic scanning technology, carrying out edge contour detection on the collected sprinting training limb swinging image. Carrying out contour segmentation and characteristic identification of the swinging of the limb of the sprinting training limb in combination with the image segmentation technology, constructing a gray histogram distribution structure model of a sprinting training limb swing image, and carrying out effective extraction of the motion characteristics of the limb swing and the motion characteristic of the sprinting training limb by adopting a regional block matching method, The method of multi-dimensional space reconstruction is adopted to simulate the motion of the limb, and the visual signal processing and the key feature point calibration method are adopted to calibrate and detect the characteristic points of the limb swing of the sprinting training, so as to realize the optimal recognition of the swing of the training limb of the sprinter. The simulation results show that the method of the invention has the advantages of high accuracy, good characteristic identification ability and the capability of improving the swing image recognition ability of the sprinter training limb.