Abstract
Video motion target tracking has been widely used in the field of sports. Content-based video search has a broad application prospect and attracts more and more researchers’ attention. In view of the shortcomings of moving object detection in motion video at present, a human motion recognition method based on correlation vector machine is proposed. Combined with the improved Gaussian mixture model of moving object detection and tracking method in motion video, moving object detection and tracking are carried out. The design of the system is realized. Firstly, it collects sports videos, considers all kinds of sports objects in sports videos, uses improved background update difference method to detect sports objects, then uses correlation vector machine to recognize human motion, and finally uses AdaBoost classifier to use it in multiple sports videos and sports objects. Carry out follow-up experiments. Results in this way, we can track the sports target in sports video accurately and quickly, and the real-time performance of sports target tracking is better than other tracking methods, which provides a new research tool for tracking sports target in sports video.
Highlights
With the frequent occurrence of sports events at home and abroad, sports teams have begun to use the information competition method to improve the competitive level of athletes
Target detection is the representation of moving points in video based on the concept of machine vision, which is the precondition of target tracking
Sports video contains a lot of comments, audience voice and natural voice, and the environment noise is very strong, and the moving objects are often disturbed, so it is difficult to detect and track the moving objects in sports video
Summary
With the frequent occurrence of sports events at home and abroad, sports teams have begun to use the information competition method to improve the competitive level of athletes. Optical flow method is to use the optical flow information of pixels in the image sequence to detect moving objects [5], but this method needs a lot of calculation and can not meet the requirements of real-time detection. If the speed of the moving object is too fast or too slow, the method of "drag shadow" or "hole" can cause symptoms Background difference this method refers to the use of input image and background model for differential calculation, [6] use threshold for recognition and dynamic update of background model to achieve the detection of moving objects and adapt to dynamic background and methods. MySQL database designed and developed this set of sports video sports target detection and tracking system
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