CN103223236B - Intelligent evaluation system for table tennis training machine - Google Patents
Intelligent evaluation system for table tennis training machine Download PDFInfo
- Publication number
- CN103223236B CN103223236B CN201310146166.XA CN201310146166A CN103223236B CN 103223236 B CN103223236 B CN 103223236B CN 201310146166 A CN201310146166 A CN 201310146166A CN 103223236 B CN103223236 B CN 103223236B
- Authority
- CN
- China
- Prior art keywords
- table tennis
- drop point
- grid
- evaluation system
- intelligent evaluation
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Expired - Fee Related
Links
Landscapes
- Closed-Circuit Television Systems (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
- Studio Devices (AREA)
Abstract
The invention provides an intelligent evaluation system for a table tennis training machine. The intelligent evaluation system comprises a table tennis drop point image acquisition part, an image processing part and an intelligent evaluation part, a piece of marking gridding tablecloth is spread on a table board, a camera shoots the marking gridding tablecloth, an upper computer is connected with the camera through a video acquisition card, video processing software in the upper computer processes video images, the upper computer is connected with a lower computer singlechip system through an RS-232 serial port, and the singlechip system is connected with an LED display screen. The intelligent evaluation system achieves intelligent evaluation function of the table tennis training machine through identifying drop point positions of table tennis and assessing the hitting effect.
Description
Technical field
The present invention relates to a kind of table tennis training machine intelligent evaluation system of the detection and tracking based on video frequency motion target.
Background technology
Table tennis is a kind of dark in the national sports item liked, in order to meet the table tennis training requirement of people, market there is various table tennis training machine, but trainer cannot judge how to receive, where drop point of receiving is only high-quality receiving, and cannot meet the high-quality training requirement of people.
Summary of the invention
The object of the present invention is to provide a kind of table tennis training machine intelligent evaluation system, the skill technical ability of table tennis fan in training can be improved, improve training effectiveness and training effect.
In order to achieve the above object, present invention employs following technical scheme:
This evaluation system comprise be layed in court grid tablecloth, for take the drop point video of table tennis on grid tablecloth video camera and for the computer identified table tennis drop point and give a mark, each grid virtual on described grid tablecloth is assigned corresponding score value, and computer is connected with video camera by video frequency collection card.
Described evaluation system also comprises the single-chip minimum system be connected with computer and the display screen be connected with single-chip minimum system.
Described video camera adopts high speed, high resolution video camera.
The movement locus of described computer based table tennis in drop point video image, extracted by target property and mate, identifying the drop point site of table tennis, then according to the score value virtual assigned of grid tablecloth, calculate drop point score value, provide balling effect assessment according to drop point score value.
Described computer adopts following methods identify table tennis drop point and give a mark:
The first step: the Displacement mapping according to camera photography head focal plane and court sets up Point Target space coordinates;
Second step: use frame differential method to process video image, obtain the vectorial coordinate of table tennis track discretization, described vectorial coordinate is based upon in the plane at court place;
3rd step: converted in Point Target space coordinates by the vectorial coordinate of discretization, then utilizes least square curve fitting to obtain the normal orientation conversion curve of target relative to camera orientation;
4th step: use interpolation curvature approximate algorithm to obtain the critical point coordinate of normal orientation conversion curve relative to court;
5th step: utilize Point Target space coordinates to carry out to critical point coordinate the drop point vectorial coordinate that transformation by reciprocal direction obtains table tennis;
6th step: mated at court by the drop point vectorial coordinate of table tennis, identifies grid residing for table tennis drop point position;
7th step: utilize the score value that grid virtual distributes, calculates drop point score value.
Beneficial effect of the present invention is: computer digit image processing technique and table tennis training machine combine by table tennis training machine automated decision system of the present invention, by identification decision table tennis drop point position, provide quality score of receiving, people can be instructed preferably in table tennis training to note receiving quality, improve table tennis technical ability.
Table tennis training machine automated decision system of the present invention adopts image processing techniques, obtain the accurate determination methods to table tennis drop point, improve automaticity and the accuracy of evaluation system, system architecture is simple, easy use, is conducive to improving table tennis training effect further.
Accompanying drawing explanation
Fig. 1 is structural representation of the present invention;
Fig. 2 is operation principle block diagram of the present invention;
Fig. 3 is net region score value distribution schematic diagram;
In figure: 1 is grid tablecloth, 2 is video camera, and 3 is computer, and 4 is single-chip minimum system, and 5 is display screen, and 6 is service robot, and 7 is trainer.
Detailed description of the invention
Below in conjunction with drawings and Examples, the invention will be further described.
See Fig. 1, table tennis training machine intelligent evaluation system of the present invention, this evaluation system comprise be layed in court grid tablecloth, for take the drop point video of table tennis on grid tablecloth video camera and for the computer identified table tennis drop point and give a mark, each grid virtual on described grid tablecloth is assigned corresponding score value, and computer is connected with video camera by video frequency collection card.Described evaluation system also comprises the single-chip minimum system be connected with computer and the display screen be connected with single-chip minimum system.Described video camera adopts high speed, high resolution video camera.
See Fig. 2 and Fig. 3, the movement locus of described computer based table tennis in drop point video image, extracted by target property and mate, identify the drop point site of table tennis, then according to the score value virtual assigned of grid tablecloth, calculate drop point score value, provide balling effect assessment according to drop point score value.
Described computer adopts following methods identify table tennis drop point and give a mark:
The first step: the Displacement mapping according to camera photography head focal plane and court sets up Point Target space coordinates;
Second step: use video camera shooting to obtain continuous print table tennis track video;
3rd step: use frame differential method to process video image, obtain the vectorial coordinate of table tennis track discretization, described vectorial coordinate is based upon in the plane at court place;
4th step: converted in Point Target space coordinates by the vectorial coordinate of discretization, then utilizes least square curve fitting to obtain the normal orientation conversion curve of target relative to camera orientation;
5th step: use interpolation curvature approximate algorithm to obtain the critical point coordinate of normal orientation conversion curve relative to court;
6th step: utilize Point Target space coordinates to carry out to critical point coordinate the drop point vectorial coordinate that transformation by reciprocal direction obtains table tennis;
7th step: mated at court by the drop point vectorial coordinate of table tennis, identifies grid residing for table tennis drop point position;
8th step: utilize the score value that grid virtual distributes, calculates drop point score value.
Embodiment
Table tennis training machine intelligent evaluation system, comprise table tennis drop point IMAQ, image procossing, Intelligent Evaluation three part, its structure is as follows: court lays grid tablecloth, video camera is taken grid tablecloth, upper PCs is connected with video camera by video frequency collection card, upper PCs interior video process software processes video image, table tennis drop point position is identified, upper PCs is connected with slave computer single-chip minimum system by RS-232 serial ports, and single-chip minimum system is connected with LED display.Described video camera adopts high speed, high resolution video camera.
Court lays grid tablecloth, the grid virtual of zones of different distributes different score values, in training process, video camera is taken grid tablecloth, and the video image of shooting is sent to upper PCs, the inner Video processing software installed of upper PCs is based on the movement locus of table tennis in video image, extracted by target property and mate, identifying table tennis drop point position, according to the score value virtual assigned of grid tablecloth, calculate drop point score value, finally provide balling effect assessment.Upper PCs sends score data to single-chip minimum system, and the score data of transmission shows on the LED display be connected with single-chip minimum system.
The vectorial coordinate of discretization converts by the present invention in Point Target space coordinates, utilizes least square curve fitting to obtain the normal orientation conversion curve of target relative to camera orientation.Compared with additive method, improve accuracy rate and the speed of drop point identification.
Claims (4)
1. a table tennis training machine intelligent evaluation system, it is characterized in that: this evaluation system comprise be layed in court grid tablecloth, for take the drop point video of table tennis on grid tablecloth video camera and for the computer identified table tennis drop point and give a mark, each grid virtual on described grid tablecloth is assigned corresponding score value, and computer is connected with video camera by video frequency collection card;
Described computer adopts following methods identify table tennis drop point and give a mark:
The first step: the Displacement mapping according to camera photography head focal plane and court sets up Point Target space coordinates;
Second step: use frame differential method to process video image, obtain the vectorial coordinate of table tennis track discretization, described vectorial coordinate is based upon in the plane at court place;
3rd step: converted in Point Target space coordinates by the vectorial coordinate of discretization, then utilizes least square curve fitting to obtain the normal orientation conversion curve of target relative to camera orientation;
4th step: use interpolation curvature approximate algorithm to obtain the critical point coordinate of normal orientation conversion curve relative to court;
5th step: utilize Point Target space coordinates to carry out to critical point coordinate the drop point vectorial coordinate that transformation by reciprocal direction obtains table tennis;
6th step: mated at court by the drop point vectorial coordinate of table tennis, identifies grid residing for table tennis drop point position;
7th step: utilize the score value that grid virtual distributes, calculates drop point score value.
2. a kind of table tennis training machine intelligent evaluation system according to claim 1, is characterized in that: described evaluation system also comprises the single-chip minimum system be connected with computer and the display screen be connected with single-chip minimum system.
3. a kind of table tennis training machine intelligent evaluation system according to claim 1, is characterized in that: described video camera adopts high speed, high resolution video camera.
4. a kind of table tennis training machine intelligent evaluation system according to claim 1, it is characterized in that: the movement locus of described computer based table tennis in drop point video image, extracted by target property and mate, identify the drop point site of table tennis, then according to the score value virtual assigned of grid tablecloth, calculate drop point score value, provide balling effect assessment according to drop point score value.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201310146166.XA CN103223236B (en) | 2013-04-24 | 2013-04-24 | Intelligent evaluation system for table tennis training machine |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201310146166.XA CN103223236B (en) | 2013-04-24 | 2013-04-24 | Intelligent evaluation system for table tennis training machine |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN103223236A CN103223236A (en) | 2013-07-31 |
| CN103223236B true CN103223236B (en) | 2015-05-27 |
Family
ID=48834022
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201310146166.XA Expired - Fee Related CN103223236B (en) | 2013-04-24 | 2013-04-24 | Intelligent evaluation system for table tennis training machine |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN103223236B (en) |
Families Citing this family (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104506830A (en) * | 2014-12-25 | 2015-04-08 | 安徽寰智信息科技股份有限公司 | Video acquisition and processing device for cricket teaching and training |
| CN107803010B (en) * | 2016-09-08 | 2020-07-10 | 张镜如 | Table tennis training system |
| CN107930084A (en) * | 2017-11-03 | 2018-04-20 | 杭州乾博科技有限公司 | A kind of table tennis ball positioning method and system based on Mapping Resolution |
| CN108434705A (en) * | 2018-05-10 | 2018-08-24 | 宜春学院 | Intelligence table tennis training system |
| CN109062164B (en) * | 2018-08-29 | 2021-01-26 | 四川长虹电器股份有限公司 | Data acquisition system and acquisition method for hot pot table |
| CN110458012B (en) * | 2019-07-05 | 2022-09-20 | 南京邮电大学 | Multi-angle face recognition method and device, storage medium and terminal |
| CN111939541A (en) * | 2020-06-23 | 2020-11-17 | 北京瑞盖科技股份有限公司 | Evaluation method, device, equipment and system for table tennis training |
| CN115120949B (en) * | 2022-06-08 | 2024-03-26 | 乒乓动量机器人(昆山)有限公司 | Method, system and storage medium for realizing flexible batting strategy of table tennis robot |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| AU2004216667A1 (en) * | 2003-10-03 | 2005-04-21 | Bruce Peter Parker | Transformation Of Images For Image Capture And Viewing |
| CN101458434A (en) * | 2009-01-08 | 2009-06-17 | 浙江大学 | System for precision measuring and predicting table tennis track and system operation method |
| CN101833232A (en) * | 2010-04-20 | 2010-09-15 | 浙江大学 | Visual support and match analysis system for ping-pong match and method for running same |
| CN101893935A (en) * | 2010-07-14 | 2010-11-24 | 北京航空航天大学 | Cooperative construction method for enhancing realistic table-tennis system based on real rackets |
Family Cites Families (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20050122308A1 (en) * | 2002-05-28 | 2005-06-09 | Matthew Bell | Self-contained interactive video display system |
-
2013
- 2013-04-24 CN CN201310146166.XA patent/CN103223236B/en not_active Expired - Fee Related
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| AU2004216667A1 (en) * | 2003-10-03 | 2005-04-21 | Bruce Peter Parker | Transformation Of Images For Image Capture And Viewing |
| CN101458434A (en) * | 2009-01-08 | 2009-06-17 | 浙江大学 | System for precision measuring and predicting table tennis track and system operation method |
| CN101833232A (en) * | 2010-04-20 | 2010-09-15 | 浙江大学 | Visual support and match analysis system for ping-pong match and method for running same |
| CN101893935A (en) * | 2010-07-14 | 2010-11-24 | 北京航空航天大学 | Cooperative construction method for enhancing realistic table-tennis system based on real rackets |
Also Published As
| Publication number | Publication date |
|---|---|
| CN103223236A (en) | 2013-07-31 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN103223236B (en) | Intelligent evaluation system for table tennis training machine | |
| CN108564596B (en) | Intelligent comparison analysis system and method for golf swing video | |
| WO2019244153A1 (en) | Device, system, and method of computer vision, object tracking, image analysis, and trajectory estimation | |
| US9311727B2 (en) | Device, system, method and computer-readable storage medium for analyzing tennis swing motion | |
| CN103106411A (en) | Tennis motion capturing and analyzing method | |
| CN104298964B (en) | A kind of human body behavior act method for quickly identifying and device | |
| US11798318B2 (en) | Detection of kinetic events and mechanical variables from uncalibrated video | |
| CN103617644B (en) | Cross the border method of discrimination in a kind of shuttlecock sideline based on machine vision | |
| CN104504694A (en) | Method for acquiring three-dimensional information of moving ball | |
| JP2012110594A5 (en) | ||
| CN201269764Y (en) | Multi-parameter real-time detection system for toxophily training | |
| CN106127205A (en) | A kind of recognition methods of the digital instrument image being applicable to indoor track machine people | |
| CN109684919B (en) | Badminton service violation distinguishing method based on machine vision | |
| CN102194248A (en) | Method for detecting and responding false-true collision based on augmented reality | |
| CN102944180B (en) | Table tennis ball tossing height detecting system and method based on image processing | |
| CN103310193A (en) | Method for recording important skill movement moments of athletes in gymnastics video | |
| CN113808167B (en) | Volleyball motion trail extraction method based on video data | |
| Wang et al. | Basketball motion video target tracking algorithm based on improved gray neural network | |
| Ting et al. | Kinect-based badminton movement recognition and analysis system | |
| CN111399634B (en) | Method and device for recognizing gesture-guided object | |
| CN203060741U (en) | Auxiliary hammer training system based on motion recognition technology | |
| CN114639168B (en) | Method and system for recognizing running gesture | |
| CN104000598B (en) | A kind of pig rapid breathing motion modeling method and system based on maximum inscribed circle | |
| CN111738093B (en) | Automatic speed measuring method for curling balls based on gradient characteristics | |
| CN204073339U (en) | A kind of tennis posture correction device |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| C14 | Grant of patent or utility model | ||
| GR01 | Patent grant | ||
| CF01 | Termination of patent right due to non-payment of annual fee | ||
| CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20150527 Termination date: 20160424 |