Supercharge Your Innovation With Domain-Expert AI Agents!

Table tennis ball detection method based on improved YOLO V4 algorithm

A detection method and table tennis technology, applied in the field of video image recognition, can solve the problems of low recognition accuracy and stability, and achieve the effect of improving the accuracy and stability

Pending Publication Date: 2022-01-21
DALIAN NATIONALITIES UNIVERSITY
View PDF0 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

But the shortcomings are also very obvious. These traditional methods are particularly sensitive to lighting conditions and dynamic environments, which also results in low recognition accuracy and stability.

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Table tennis ball detection method based on improved YOLO V4 algorithm
  • Table tennis ball detection method based on improved YOLO V4 algorithm
  • Table tennis ball detection method based on improved YOLO V4 algorithm

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0029] The following description serves to disclose the present invention to enable those skilled in the art to carry out the present invention. The preferred embodiments described below are only examples, and those skilled in the art can devise other obvious variations.

[0030] A kind of technical solution adopted by the table tennis detection method based on the improved YOLO V4 algorithm of the present invention comprises the following steps:

[0031] Step 1: Image acquisition. Using a binocular camera, the entire process of playing table tennis was recorded and collected at a frequency of 40-60 Hz, and 30-50 minutes of video data was collected. as follows figure 1 shown.

[0032] Step 2: Data preprocessing. Use the python program to process the video into a picture sequence to obtain the original data set. Use the general labeling software labelimg labeling tool to label the obtained pictures containing table tennis. After the annotation is completed, the file in PA...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention relates to the technical field of video image recognition, in particular to a table tennis ball detection method based on an improved YOLOV4 algorithm, and the method comprises the following steps: S1, image collection, S2, data preprocessing, S3, improvement of a YOLOV4 network, and S4, training of a network model. According to the invention, the degree of influence of an illumination condition and a dynamic environment is low, so that the recognition accuracy is effectively improved.

Description

technical field [0001] The invention relates to the technical field of video image recognition, in particular to a table tennis detection method based on the improved YOLO V4 algorithm. Background technique [0002] Table tennis is our national game, and its extensive participation has enabled the sports industry related to table tennis to flourish. Among them, table tennis automatic ball pickers, table tennis intelligent serve machines, and table tennis robots have also made considerable progress. . The first step for them to work properly is how to detect ping pong balls. The most commonly used table tennis detection methods are the following three: frame difference method, background subtraction method and optical flow method. Their main advantages are that the algorithm is relatively simple to implement and the complexity of program design is low. The frame difference method is to use pixel-based time difference between two or three adjacent frames of the image sequenc...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
IPC IPC(8): G06V20/40G06K9/62G06V10/774G06V10/762G06V10/764G06V10/82G06N3/04G06N3/08
CPCG06N3/08G06N3/045G06F18/23213G06F18/241G06F18/214
Inventor 汪语哲尹真杰刘明方张皓天段晓东靳馥竹王宗浩
Owner DALIAN NATIONALITIES UNIVERSITY
Features
  • R&D
  • Intellectual Property
  • Life Sciences
  • Materials
  • Tech Scout
Why Patsnap Eureka
  • Unparalleled Data Quality
  • Higher Quality Content
  • 60% Fewer Hallucinations
Social media
Patsnap Eureka Blog
Learn More

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2025 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com