Abstract
Video-based human motion analysis is an important research direction in the field of computer vision. It detects moving objects from video sequences, extracts key parts of the human body, and obtains useful information for human movements. In this paper, the joints of the teeing arm are first color-coded. The tennis teeing video is collected by a high-speed camera. The coordinates of the tacking points in each frame are used instead of the knuckles to study the trajectory of the teeing arm. In the process of video processing, after constructing a dictionary for a series of noise maps, the sparse representation idea was used to reconstruct an interference-free service diagram, and a mixture of Gaussian background modeling was used to extract the foreground of the motion. After obtaining the motion foreground, the marker points are extracted through the color features, and binarization operations are performed on the marker points. Next, the outline of the marker points is searched, the outline is surrounded by the minimum circle, and the returned circle center coordinates are used as the joint point coordinates. Taking the trajectory of the shoulder marking point as a research object, a tennis serving model based on an improved support vector machine was established.
Highlights
With the rapid development of science and technology, the booming information has become a major feature of today’s society
This paper proposes the application of video technology in the analysis of tennis serve speed and success rate
A team of 20 male students from a sports college tennis special class was selected as the research object, and the students were randomly divided into the experimental group and the control group
Summary
With the rapid development of science and technology, the booming information has become a major feature of today’s society. The system can analyze realtime images of tennis match scenes or training scenes and has many functions such as statistical techniques and tactic data, linked motion data and images, and playback of motion processes It is a combination of computer image analysis technology and competitive sports. As the most remarkable achievement in the training of tennis in the century and the crystallization of human wisdom, has become the main component of tennis training science and modern tennis training techniques [3]. How to introduce sports science and technology into sports training and continuously improve the effectiveness and scientific nature of sports training has become an important subject worth studying at present On this basis, this paper proposes the application of video technology in the analysis of tennis serve speed and success rate. The experimental results show that knee exercise is an important factor affecting the efficiency of the serve and has nothing to do with the athlete’s level
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