Prediction method of badminton landing position based on computer vision

A technology of computer vision and prediction methods, applied in computing, image data processing, instruments, etc., to achieve fast computing speed and meet the effect of real-time applications

Inactive Publication Date: 2018-12-25
HUBEI UNIV OF TECH
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  • Summary
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Therefore, in recent years, many scholars have carried out in-depth research on target tracking and proposed many algorithms; however, the tracking of the specific targe

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  • Prediction method of badminton landing position based on computer vision
  • Prediction method of badminton landing position based on computer vision
  • Prediction method of badminton landing position based on computer vision

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Embodiment Construction

[0050] In order to facilitate those of ordinary skill in the art to understand and implement the present invention, the present invention will be described in further detail below in conjunction with the examples. It should be understood that the implementation examples described here are only used to illustrate and explain the present invention, and are not intended to limit the present invention.

[0051] Such as image 3 As shown, the computer vision-based badminton landing position prediction method of the present invention, the specific steps are as follows:

[0052] Step 1: The video capture device collects the video of the badminton match.

[0053] The specific method is: use the Canon camera acquisition device to shoot a video of a badminton match in high definition, and the frame rate of the camera is 120fps / s.

[0054] Step 2: Preprocess the sports game video input in step 1 to obtain video frame pictures.

[0055] The specific method is: install the Free Studio so...

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Abstract

The invention relates to a badminton landing position prediction method based on computer vision. According to a video frame picture obtained from a badminton match video, the perspective transformation relationship between a badminton field and a model field in the video frame picture is calculated according to the video frame picture obtained from the badminton match video, and a badminton fieldmodel is determined. Then the motion region detection module uses the time difference method to distinguish the motion region and the background part. Binary image processing, image segmentation, contour tracking are performed on a difference image and then the characteristic information of badminton is extracted; the flight trajectory of badminton is determined by trajectory tracking algorithm;Kalman filter algorithm is used to predict the trajectory location of badminton. According to the location of trajectory falling point, the coordinate of actual badminton court is transformed by perspective transformation, so as to realize the prediction of the location of badminton falling point. The method can be used to predict the badminton landing position in the complex scene when the illumination changes gradually, the wind speed influence, the airflow influence or the badminton speed is very fast.

Description

technical field [0001] The invention belongs to the technical fields of digital image processing, pattern recognition and machine learning, and video target detection, and in particular relates to a method for predicting the position of a badminton drop point by using computer vision technology. Background technique [0002] The method of using computer vision technology to predict the location of badminton landing can be applied to sports games and Olympic badminton competitions. The main function is that the system can quickly identify the badminton competition venue and the flying shuttlecock according to the badminton flight trajectory of the input badminton competition video. , to predict where the shuttlecock will land. In the method of predicting the position of the badminton landing point, a series of operations such as image preprocessing, image recognition, image segmentation, moving object detection, object tracking, and motion trajectory prediction are performed ...

Claims

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Application Information

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IPC IPC(8): G06T7/20G06T7/215G06T7/136
CPCG06T7/20G06T2207/10016G06T2207/30224G06T7/136G06T7/215
Inventor 熊炜管来福王传胜刘敏王娟曾春艳冯川熊子婕童磊金靖熠贾锈闳
Owner HUBEI UNIV OF TECH
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