CN103223236A - Intelligent evaluation system for table tennis training machine - Google Patents
Intelligent evaluation system for table tennis training machine Download PDFInfo
- Publication number
- CN103223236A CN103223236A CN201310146166XA CN201310146166A CN103223236A CN 103223236 A CN103223236 A CN 103223236A CN 201310146166X A CN201310146166X A CN 201310146166XA CN 201310146166 A CN201310146166 A CN 201310146166A CN 103223236 A CN103223236 A CN 103223236A
- Authority
- CN
- China
- Prior art keywords
- table tennis
- drop point
- evaluation system
- grid
- point
- 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.)
- Granted
Links
Images
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 detection and the tracking based on video frequency motion target.
Background technology
Table tennis is a kind of sports item that liked by its people, in order to satisfy people's table tennis training requirement, various table tennis training machines have appearred on the market, yet the trainer can't judge how to receive, where the drop point of receiving is only high-quality receiving, and can't satisfy 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, can improve the skill technical ability of table tennis fan in training, improve training effectiveness and training effect.
In order to achieve the above object, the present invention has adopted following technical scheme:
This evaluation system comprises the grid tablecloth that is layed in court, be used to take the video camera of the drop point video of table tennis on the grid tablecloth and be used for computer that the table tennis drop point is discerned and given a mark, each grid virtual assigned on the described grid tablecloth has corresponding score value, and computer links to each other with video camera by video frequency collection card.
Described evaluation system also comprises single-chip minimum system that links to each other with computer and the display screen that links to each other with single-chip minimum system.
Described video camera adopts the high speed, high resolution video camera.
The movement locus of described computer based table tennis in the drop point video image, extract and coupling by target property, identify the drop point site of table tennis, then according to the score value virtual assigned of grid tablecloth, calculate the drop point score value, provide the balling effect assessment according to the drop point score value.
Described computer adopts following method the table tennis drop point is discerned and to be given a mark:
The first step: the Point Target space coordinates are set up in the skew mapping according to camera photography head focal plane and court;
Second step: use the frame-to-frame differences point-score that video image is handled, obtain the vectorial coordinate of table tennis track discretization, described vectorial coordinate is based upon in the plane at court place;
The 3rd step: the vectorial coordinate of discretization is carried out conversion in the Point Target space coordinates, utilize least square curve fitting to obtain the normal orientation conversion curve of target then with respect to the camera orientation;
The 4th step: use interpolation curvature approximate algorithm to obtain the critical point coordinate of normal orientation conversion curve with respect to court;
The 5th step: utilize the Point Target space coordinates that the critical point coordinate is carried out the drop point vectorial coordinate that transformation by reciprocal direction obtains table tennis;
The 6th step: the drop point vectorial coordinate of table tennis is mated identification table tennis drop point site grid of living at court;
The 7th step: utilize the score value of grid virtual assigned, calculate the drop point score value.
Beneficial effect of the present invention is: table tennis training machine automated decision system of the present invention combines computer digit image processing technique and table tennis training machine, by identification decision table tennis drop point site, provide the quality score of receiving, can instruct people in table tennis training, to note receiving quality preferably, improve table tennis technical ability.
Table tennis training machine automated decision system of the present invention adopts image processing techniques, obtained the accurate determination methods to the table tennis drop point, improved the automaticity and the accuracy of evaluation system, system architecture is simple, use easily, help further improving the table tennis training effect.
Description of drawings
Fig. 1 is a structural representation of the present invention;
Fig. 2 is an operation principle block diagram of the present invention;
Fig. 3 is a net region score value distribution schematic diagram;
Among the figure: 1 is the grid tablecloth, and 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 the trainer.
The specific embodiment
The invention will be further described below in conjunction with drawings and Examples.
Referring to Fig. 1, table tennis training machine intelligent evaluation system of the present invention, this evaluation system comprises the grid tablecloth that is layed in court, be used to take the video camera of the drop point video of table tennis on the grid tablecloth and be used for computer that the table tennis drop point is discerned and given a mark, each grid virtual assigned on the described grid tablecloth has corresponding score value, and computer links to each other with video camera by video frequency collection card.Described evaluation system also comprises single-chip minimum system that links to each other with computer and the display screen that links to each other with single-chip minimum system.Described video camera adopts the high speed, high resolution video camera.
Referring to Fig. 2 and Fig. 3, the movement locus of described computer based table tennis in the drop point video image, extract and coupling by target property, identify the drop point site of table tennis, then according to the score value virtual assigned of grid tablecloth, calculate the drop point score value, provide the balling effect assessment according to the drop point score value.
Described computer adopts following method the table tennis drop point is discerned and to be given a mark:
The first step: the Point Target space coordinates are set up in the skew mapping according to camera photography head focal plane and court;
Second step: use video camera to take and obtain continuous table tennis track video;
The 3rd step: use the frame-to-frame differences point-score that video image is handled, obtain the vectorial coordinate of table tennis track discretization, described vectorial coordinate is based upon in the plane at court place;
The 4th step: the vectorial coordinate of discretization is carried out conversion in the Point Target space coordinates, utilize least square curve fitting to obtain the normal orientation conversion curve of target then with respect to the camera orientation;
The 5th step: use interpolation curvature approximate algorithm to obtain the critical point coordinate of normal orientation conversion curve with respect to court;
The 6th step: utilize the Point Target space coordinates that the critical point coordinate is carried out the drop point vectorial coordinate that transformation by reciprocal direction obtains table tennis;
The 7th step: the drop point vectorial coordinate of table tennis is mated identification table tennis drop point site grid of living at court;
The 8th step: utilize the score value of grid virtual assigned, calculate the drop point score value.
Embodiment
The table tennis training machine intelligent evaluation system, comprise table tennis drop point IMAQ, image is handled, intelligence is estimated three parts, its structure is as follows: court is laid the grid tablecloth, video camera is taken the grid tablecloth, the host computer computer links to each other with video camera by video frequency collection card, host computer computer-internal Video processing software is handled video image, the table tennis drop point site is discerned, the host computer computer links to each other with the slave computer single-chip minimum system by the RS-232 serial ports, and single-chip minimum system links to each other with LED display.Described video camera adopts the high speed, high resolution video camera.
Court is laid the grid tablecloth, the different score value of grid virtual assigned of zones of different, in the training process, video camera is taken the grid tablecloth, and the video image of shooting is sent to the host computer computer, the Video processing software that the host computer computer-internal is installed is based on the movement locus of table tennis in the video image, extract and coupling by target property, identify the table tennis drop point site, according to the score value virtual assigned of grid tablecloth, calculate the drop point score value, finally provide the balling effect assessment.The host computer computer send to divide Value Data to single-chip minimum system, the branch Value Data of transmission with LED display that single-chip minimum system links to each other on show.
The present invention carries out conversion with the vectorial coordinate of discretization in the Point Target space coordinates, utilize least square curve fitting to obtain the normal orientation conversion curve of target with respect to the camera orientation.Compare with additive method, improved the accuracy rate and the speed of drop point identification.
Claims (5)
1. table tennis training machine intelligent evaluation system, it is characterized in that: this evaluation system comprises the grid tablecloth that is layed in court, be used to take the video camera of the drop point video of table tennis on the grid tablecloth and be used for computer that the table tennis drop point is discerned and given a mark, each grid virtual assigned on the described grid tablecloth has corresponding score value, and computer links to each other with video camera by video frequency collection card.
2. according to the described a kind of table tennis training machine intelligent evaluation system of claim 1, it is characterized in that: described evaluation system also comprises single-chip minimum system that links to each other with computer and the display screen that links to each other with single-chip minimum system.
3. according to the described a kind of table tennis training machine intelligent evaluation system of claim 1, it is characterized in that: described video camera adopts the high speed, high resolution video camera.
4. according to the described a kind of table tennis training machine intelligent evaluation system of claim 1, it is characterized in that: the movement locus of described computer based table tennis in the drop point video image, extract and coupling by target property, identify the drop point site of table tennis, then according to the score value virtual assigned of grid tablecloth, calculate the drop point score value, provide the balling effect assessment according to the drop point score value.
5. according to the described a kind of table tennis training machine intelligent evaluation system of claim 1, it is characterized in that: described computer adopts following method the table tennis drop point is discerned and to be given a mark:
The first step: the Point Target space coordinates are set up in the skew mapping according to camera photography head focal plane and court;
Second step: use the frame-to-frame differences point-score that video image is handled, obtain the vectorial coordinate of table tennis track discretization, described vectorial coordinate is based upon in the plane at court place;
The 3rd step: the vectorial coordinate of discretization is carried out conversion in the Point Target space coordinates, utilize least square curve fitting to obtain the normal orientation conversion curve of target then with respect to the camera orientation;
The 4th step: use interpolation curvature approximate algorithm to obtain the critical point coordinate of normal orientation conversion curve with respect to court;
The 5th step: utilize the Point Target space coordinates that the critical point coordinate is carried out the drop point vectorial coordinate that transformation by reciprocal direction obtains table tennis;
The 6th step: the drop point vectorial coordinate of table tennis is mated identification table tennis drop point site grid of living at court;
The 7th step: utilize the score value of grid virtual assigned, calculate the 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 true CN103223236A (en) | 2013-07-31 |
| CN103223236B 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) |
Cited By (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 |
| CN107803010A (en) * | 2016-09-08 | 2018-03-16 | 张镜如 | A kind of 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 |
| CN109062164A (en) * | 2018-08-29 | 2018-12-21 | 四川长虹电器股份有限公司 | A kind of data collection system and acquisition method of hot pot table |
| CN110458012A (en) * | 2019-07-05 | 2019-11-15 | 南京邮电大学 | Multi-angle human 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 |
| CN115120949A (en) * | 2022-06-08 | 2022-09-30 | 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 (5)
| 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 |
| US20050122308A1 (en) * | 2002-05-28 | 2005-06-09 | Matthew Bell | Self-contained interactive video display system |
| 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 |
-
2013
- 2013-04-24 CN CN201310146166.XA patent/CN103223236B/en not_active Expired - Fee Related
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20050122308A1 (en) * | 2002-05-28 | 2005-06-09 | Matthew Bell | Self-contained interactive video display system |
| 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 |
Cited By (11)
| 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 |
| CN107803010A (en) * | 2016-09-08 | 2018-03-16 | 张镜如 | A kind of table tennis training system |
| 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 |
| CN109062164A (en) * | 2018-08-29 | 2018-12-21 | 四川长虹电器股份有限公司 | A kind of data collection system and acquisition method of hot pot table |
| CN110458012A (en) * | 2019-07-05 | 2019-11-15 | 南京邮电大学 | Multi-angle human face recognition method and device, storage medium and terminal |
| 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 |
| CN115120949A (en) * | 2022-06-08 | 2022-09-30 | 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 |
| 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 |
Also Published As
| Publication number | Publication date |
|---|---|
| CN103223236B (en) | 2015-05-27 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN103223236B (en) | Intelligent evaluation system for table tennis training machine | |
| CN110929596A (en) | Shooting training system and method based on smart phone and artificial intelligence | |
| WO2019244153A1 (en) | Device, system, and method of computer vision, object tracking, image analysis, and trajectory estimation | |
| CN103106411A (en) | Tennis motion capturing and analyzing method | |
| CN107871120A (en) | Competitive sports based on machine learning understand system and method | |
| CN101853399B (en) | Method for realizing blind road and pedestrian crossing real-time detection by utilizing computer vision technology | |
| CN103997624A (en) | Overlapped domain dual-camera target tracking system and method | |
| CN104298964B (en) | A kind of human body behavior act method for quickly identifying and device | |
| CN103455657B (en) | A kind of site work emulation mode based on Kinect and system thereof | |
| CN102243687A (en) | Physical education teaching auxiliary system based on motion identification technology and implementation method of physical education teaching auxiliary system | |
| CN106384355B (en) | A kind of automatic calibration method in projection interactive system | |
| JP2012110594A5 (en) | ||
| CN104346816A (en) | Depth determining method and device and electronic equipment | |
| CN104318588A (en) | Multi-video-camera target tracking method based on position perception and distinguish appearance model | |
| CN106127205A (en) | A kind of recognition methods of the digital instrument image being applicable to indoor track machine people | |
| CN103810718B (en) | A kind of strenuous exercise's object detection method and device | |
| CN106422223A (en) | Intelligent robot system for spherical object recycling and method | |
| CN103100205A (en) | Auxiliary device suitable for middle and primary school physical education evaluation and achieving method thereof | |
| CN102944180B (en) | Table tennis ball tossing height detecting system and method based on image processing | |
| CN103149087B (en) | Follow-up window and digital image-based non-contact real-time strain measurement method | |
| Zhang et al. | Dynamic fry counting based on multi-object tracking and one-stage detection | |
| CN103949054A (en) | Infrared light gun positioning method and system | |
| CN109460724A (en) | The separation method and system of trapping event based on object detection | |
| CN104618650A (en) | Movement detection method and device through combination between front image acquisition device and side image acquisition device | |
| Wang | Basketball sports posture recognition based on neural computing and visual sensor |
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 |