Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Method for identifying wonderful shots as to badminton game video

A badminton and lens technology, applied in the field of computer vision, can solve the problems of few analysis methods, fixed number of players, and few badminton game video algorithms.

Active Publication Date: 2013-01-23
CHANGCHUN YIHANG INTELLIGENT TECH CO LTD
View PDF1 Cites 24 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0007] There are some deficiencies in the existing methods: the existing methods are generally for all videos, and there are few algorithms specifically for badminton video
The video scenes of badminton games change regularly, and the number of athletes is relatively fixed. There are few analysis methods that can combine professional knowledge of badminton games

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
  • Method for identifying wonderful shots as to badminton game video
  • Method for identifying wonderful shots as to badminton game video
  • Method for identifying wonderful shots as to badminton game video

Examples

Experimental program
Comparison scheme
Effect test

Embodiment approach

[0036] Step 1: Detection and identification of athletes.

[0037] In the global game scene, the location of the field is generally fixed, and only athletes move on the field. For this reason, if the athletes can be segmented from the shots, it is helpful to analyze the highlights of the video. In the global scene, the athletes are regarded as the foreground, and the others are regarded as the background. If the foreground can be separated, the player is identified. The present invention extracts the foreground by using the background subtraction method, that is, subtracting the previous frame (or several subsequent frames) from one frame, and then marking the sufficiently large difference as the foreground. This method can often capture the edges of moving objects. Since pixel values ​​are always affected by noise and fluctuations, small differences should be ignored and larger differences identified. The present invention adopts the method of background subtraction, by ma...

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 a method for identifying wonderful shots as to a badminton game video. High-level semantic analysis of a badminton game video is carried out under the premise of finding out all whole game shots in the badminton game video. Sportsmen are detected and tracked at the stage of high-level semantic analysis; the actions, the amount of exercise and the game time of each round of the sportsmen are analyzed, and the wonderful degree, namely a weighted average value of the following four factors including the amount of exercise, ball saving times identified by the outlines of the sportsmen, smash times identified by the outlines of the sportsmen, and the smash times identified by an angle point movement track, and a few of shots with the maximal wonderful degree are selected as the highlight shots.

Description

technical field [0001] The invention relates to a highlight shot recognition method for a badminton game video, belonging to the technical field of computer vision. Background technique [0002] With the development of network technology and the popularization of optical acquisition equipment, the amount of video data is increasing rapidly. How to quickly find interesting content in video is a very meaningful research problem. Sports game video has its own characteristics, and the scene changes more regularly, which is conducive to analysis. Therefore, sports game video analysis is a popular research direction in video analysis. Badminton is a traditional advantage project in our country, and it has a large audience of moviegoers. There are so many badminton game videos now, if the most exciting part of the badminton game video can be found and provided to the audience, it will undoubtedly improve the convenience of people watching the badminton game. [0003] The existing...

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): G06K9/00
Inventor 李炜李进齐翔钟沛珉
Owner CHANGCHUN YIHANG INTELLIGENT TECH CO LTD
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com