Athlete competitive ability analysis method

A technology for ability analysis and athletes, applied in the direction of instruments, character and pattern recognition, computer components, etc., can solve problems such as difficult to adapt to complex application scenarios, low efficiency of sliding window method, complex background interference, etc., to improve detection efficiency and improve The effect of accuracy rate and flexible analysis method

Active Publication Date: 2018-05-29
睿视智觉(深圳)算法技术有限公司
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  • Application Information

AI Technical Summary

Problems solved by technology

[0005] For example, Patent No. 201610037305.9 "An Algorithm for Tracking Athletes in a Ball Game Video", using methods such as Hog+SVM to detect targets, the sliding window method is very inefficient, and t

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Embodiment Construction

[0050]The technical solutions of the present invention will be described in detail below in conjunction with the accompanying drawings.

[0051] Such as figure 1 As shown, the present invention provides a method for analyzing athletes' competitive ability. The main idea is: firstly, it is necessary to set up a camera outside the field that is sufficient to cover the entire field. Position coordinates, as well as the position coordinates of the ball, from which the time is derived, and the speed and acceleration data of the player and the ball can be obtained. According to the above data, various competitive indicators of athletes can be analyzed, including the total distance of movement, movement speed, variable speed explosive ability, etc. Combined with the data of the ball, information such as ball control ability, accuracy of passing and catching, and hitting (shooting) speed can be obtained. .

[0052] The present invention specifically comprises the following steps:

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Abstract

The invention discloses an athlete competitive ability analysis method. The method comprises the following steps that: step 1, cameras of which the fields of view cover an entire stadium are erected,and the global image of the entire stadium is obtained; step 2, athletes wear uniforms with obvious serial number marks, and the real-time position coordinates of each player and a ball in the image are obtained through using a target tracking module; step 3, the speed and acceleration data of the athletes and the ball are obtained according to the position coordinates; and step 4, the competitionindexes of the athletes are analyzed according to the data obtained in step 3. According to the athlete competitive ability analysis method of the invention, a non-contact camera detection method isadopted to analyze the competitive ability of the athletes so as to replace a traditional wearable sensor scheme; a new target detection and tracking method is adopted to analyze the ability of the athletes and automatically calculate the objective competitive ability of the athletes; and therefore, the method of the invention has the advantages of high robustness and high detection accuracy.

Description

technical field [0001] The invention belongs to the technical field of image and video processing, and in particular relates to a video-based method for analyzing athletes' competitive ability. Background technique [0002] At present, various sports competitions are developing rapidly, such as football, basketball, volleyball and other team sports are becoming more and more common. In order to improve the level of team competition, every athlete needs to have a good competitive ability. The methods on how to analyze athletes' competitive ability from games are not yet mature enough. Among them, the method of analyzing athletes' competitive ability based on the coach's naked eyes is too subjective, and it is difficult for the coach to take into account the status of all athletes at the same time. It is very time-consuming and laborious to watch and analyze through recorded videos; It is troublesome, and the wearable hardware will also bring discomfort to the athletes. Large...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06K9/62
CPCG06V20/42G06V10/758G06F18/22G06F18/214
Inventor 李超吴琦肖潇龚纯斌
Owner 睿视智觉(深圳)算法技术有限公司
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