KR20020081561A - System and method for golf swing selfclinic - Google Patents

Abstract

PURPOSE: A golf swing self-clinic system and a self-clinic method are provided to enable a user to correct user's swing posture without an assistance of a professional golfer by utilizing a computer program. CONSTITUTION: The golf swing self-clinic system comprises: a device for capturing and encoding golf swing posture image data filmed by using a camera installed at a golf practice ranger; a device for extracting static image frame required to the correction of swing posture by automatically analyzing encoded image data; a device for automatically marking correcting points required to the frame by utilizing the static image frame without an assistance of a golf teaching specialist; a device for making a variation graph of the center of gravity by using weight variation data of user's feet measured from the scales; a device for matching the variation graph with the static image frame; and a data transmitting device.

Description

Golf swing self clinic system and its method {System and method for golf swing selfclinic}

The present invention relates to a golf swing self-clinic system and a method thereof, and more particularly, to a golf swing self-clinic system and a method and a program for realizing the method to realize the golf swing yourself The present invention relates to a recording medium which can be read by.

Conventional golf clinic related system digitally encodes the swing posture image taken manually by using video camera in the field such as golf driving range and saves it to the head office computer. By using the extracted still images, the marking work for correcting the golf swing posture by the golf clinic expert was drawn by hand, which resulted in an uneconomical factor such as a lot of manpower and work time.

In addition, in the conventional system, the golfer accesses the Internet homepage and searches his / her swing image only for continuous motion or still image, and thus, natural linkage between continuous motion and still image cannot be performed, and thus effective and visual teaching is impossible. .

In addition, the conventional system requires at least 2.5m-3m to secure the distance between the photographer and the camera when shooting the front operation, and requires two lines of space when installing the camera at the practice field, which causes a lot of problems in economical efficiency of securing the space. The operators were skeptical about the installation of the shooting equipment.

In addition, the conventional system does not provide a nonlinear search function in the moving picture state, so the search from the continuous operation to the partial operation is not only inaccurate with the conventional stop function but also inconvenient and time-consuming.

In addition, the conventional system has no information about the swing time, and thus could not diagnose and precisely clinic the timing and tempo.

In addition, the conventional system shows a change in weight movement by displaying the data on the weight movement during the swing movement in a graph, but could not visually show the change in weight at the main swing pointer because it is not associated with the swing movement.

In addition, in the conventional system, the golf swing posture shooting, analysis, and transmission work cannot be processed online, and since each work is operated separately, a considerable time is required for analyzing image data and transmitting to the server. The work has been done inefficiently and wasted, and real-time (immediate) service was not possible.

In addition, the conventional system is a technique for recognizing the motion of the swing posture when extracting a still image from the image of the golf swing posture, wearing a golf head of a specific color and a glove of a predetermined color to display the brightness of the feature area, that is, brightness information The technique of extracting feature frames is used, but this method is not universal and has a disadvantage in that it is not useful.

In addition, the conventional system has a limitation in utilization by playing a swing posture video, that is, a file representing a continuous operation of the golf posture, by reproducing only a search window by accessing a mail or an Internet home page.

In addition, in the conventional golf clinic system, the golfer's habit information for each swing section was not provided by simply arranging still images of a desired number of swing postures in order and showing only the flow of postures. Due to the standardized screen configuration, it was restricted to provide sufficient information and did not give a visual effect for each section of the swing posture.

The present invention has been proposed to solve the above problems, taking a swing posture of golfers in a golf driving range installed indoors or outdoors, and analyzes it so that the swing posture can be corrected by the expert without manual work. A golf swing self-clinic system that performs image extraction and marking for posture correction automatically, and enables golfers to self-clinic while checking marked still images through the Internet, and a method and a program for realizing the method. Its purpose is to provide a computer-readable recording medium having recorded thereon.

1 is a configuration diagram of an embodiment of a golf swing self-clinic system according to the present invention.

2 is a conceptual view of the operation of the golf swing self-clinic system according to the present invention.

3 is an explanatory diagram for a homepage search process in a user module according to the present invention;

4 is a flowchart illustrating an embodiment of a motion extraction process according to the present invention;

5 is a flowchart of an embodiment of a still image extraction process according to the present invention;

6a to 6d is a detailed configuration diagram of one embodiment of a golf swing self-clinic system according to the present invention.

7A through 7D are detailed flowcharts of one embodiment of a golf swing self-clinic method according to the present invention.

8 is an explanatory diagram for allocating still image extraction points and section-specific extraction points according to a swing trajectory.

* Explanation of symbols for the main parts of the drawings

100: operation server system 200: golf terminal system

300: user module

According to an aspect of the present invention, there is provided a golf swing self-clinic system, comprising: means for capturing and encoding golf swing posture image data captured by a camera installed at a golf site at a terminal computer; Means for automatically analyzing the encoded image data to extract still picture frames necessary for swing posture correction; Means for automatically marking the necessary calibration points on the frame using the extracted still picture frame without the involvement of a golf teaching expert; Means for generating a weight change graph of both feet using weight change data of both feet of a golfer read from the scale in synchronization with the start time of the swing posture image data; Means for matching the created weight shift change graph with the still picture frame extracted from image data; And means for transmitting various data related to the image data to the outside through a communication network.

On the other hand, the method of the present invention, in the golf swing self-clinic method applied to the golf swing self-clinic system, the first step of capturing and encoding the golf swing posture image data taken by using a camera installed on the golf site in the terminal computer ; A second step of automatically analyzing the encoded image data and extracting still image frames necessary for swing posture correction; A third step of automatically marking necessary correction points on the frame using the extracted still picture frame without the intervention of a golf teaching expert; A fourth step of generating a weight change graph of both feet using weight change data of both feet of the golfer read from the scale in synchronization with the start time of the swing posture image data; A fifth step of matching the created weight shift change graph with the still picture frame extracted from the image data; And a sixth step of transmitting various data related to the image data to the outside through a communication network.

On the other hand, the present invention, the golf swing self-clinic system having a processor, a first function for capturing and encoding a golf swing posture image data taken by using a camera installed in the golf site with a terminal computer; A second function of automatically analyzing the encoded image data and extracting still image frames necessary for swing posture correction; A third function of automatically marking necessary correction points on a frame using the extracted still picture frame without the intervention of a golf teaching expert; A fourth function of generating a graph of weight movement change of both feet using weight change data of both feet of a golfer read from the scale in synchronization with the start time of the swing posture image data; A fifth function of matching the created weight shift change graph with the still picture frame extracted from the image data; And a computer readable recording medium having recorded thereon a program for realizing a sixth function of transmitting various data related to the image data to the outside via a communication network.

As described above, the golf swing self-clinic system according to the present invention captures and encodes the golf swing posture image data taken by using a video camera installed in the field, such as a golf driving range, and stores it on a terminal computer installed in the field, and automatically analyzes the stored image data. Extracts the still image frame necessary for swing posture correction, automatically stores and stores the necessary calibration points on the frame without the intervention of golf teaching experts using the extracted still image frame, and synchronizes the start time and synchronization of swing posture image data. The weight change data of both feet of the golfer, read from the scale, was used to create a graph of the weight shift of both feet and to compare the graph with the still image frames extracted from the image data. Analysis of image data, frame Extraction and automatic marking, automatic connection to the weight change graph, and automatically transfer these data by e-mail or automatically to the operation server computer with the Internet server function of the center and automatically receive / store the data on the operation server computer. The mobile station automatically transmits the image data and the teaching marked still picture frame to the subscriber station according to the subscriber's search request.

In addition, the present invention is to install the two video cameras for shooting the golf swing posture in the front and side swing posture of the golfer, the starting point of the image data coming from the two cameras for accurate analysis of the swing posture Capture in sync. In addition, the use of a wide-angle camera enables the minimization of the shooting space (1.5m) to solve the economics of the place, thereby facilitating the installation of the system in the practice field.

In addition, the present invention uses a method for analyzing all frames of digitally encoded continuous motion for golf swing posture analysis, where the two methods are mixed to minimize errors and extraction time in extracting multiple valid frames. . One is a motion extraction method for extracting a frame of the club head movement in two subsequent frames, and the other is a color extraction method for extracting an effective frame using the color of the head in the frame.

The above objects, features and advantages will become more apparent from the following detailed description taken in conjunction with the accompanying drawings. Hereinafter, exemplary embodiments of the present invention will be described in detail with reference to the accompanying drawings.

1 is a block diagram of an embodiment of a golf swing self-clinic system according to the present invention.

Golf swing self-clinic system of the present invention is configured as shown in FIG. The system of the present invention is composed of three systems, the golf terminal system 200, the operation server system 100 and the user module 300, the client / server between the golf terminal system 200 and the operation server system 100 Is connected in the form of an online communication network, and is connected between the operation server system 100 and the user module 300 by an internet communication network.

The golf terminal system 200 is a video camera 240 for photographing the swing posture of the golfer from the front and side of the golf driving range or golf course, a flat scale (weight scale) 250 for measuring the weight of the golfer's feet, shooting Analyze the data received from the front and side computers 210 and 220 and the front and side computers 210 and 220 to store and transmit a video to the data processing computer 230, and connect / process the data with the weight data. Or a data processing computer 230 for transmission to the operation server. At this time, the data processing computer 230 may transmit the processed data by electronic mail and also to the operation server.

The operation server system 100 is composed of a database for storing data received from the golf terminal system 200, an operation server for managing / searching / processing data, an Internet home server, a mail server, an administrator module, and a gateway device.

The user module 300 is configured as a personal computer system that accesses the operation server system 100 through the Internet and retrieves its swing posture data.

Looking at the configuration and operation of the golf swing self-clinic system according to the present invention as follows.

The golf swing self-clinic system according to the present invention (see FIGS. 6A to 6D described later) includes an image input apparatus for photographing a golfer's swing motion from the front and the side, a motion capture apparatus for storing the image input signal, and an image encoder. 6A and side module (FIG. 6B), image frame extraction function and image frame automatic marking function for posture correction, weight detection and weight movement analysis function during golfer swing, head speed detection and head speed analysis function And a data processing module (FIG. 6C) including a printing machine for controlling all operations such as automatic marking and display function of analytical data and transmitting analytical data and e-mail, and printing continuous motion and still images, and a golf terminal computer ( Data analysis module) to receive image analysis data, head speed analysis data and weight shift analysis data through a data communication network. Is an image data storage unit for storing the received image data, an image data storage unit for storing the received image data, an operation server computer (FIG. 6D) for performing functions of subscriber management unit and search processing unit for managing member and homepage, and continuous operation and division operation. Includes a CD authoring function for saving screens.

In addition, the golf swing self-clinic system using the network automatically processes the golfer's swing posture, the automatic extraction and marking of the captured image, and the automatic transmission of the marked image data to the server.

The frame extraction function extracts the encoded digital image data on a frame basis, and extracts about 24 feature points (FIG. 8) by comparing the change of pixels between frames before and after the frame using the head information of the golf club in the frame. .

Still image extraction of the takeback section, the top, the downswing 1, the downswing 2, and the palosru section from the address (FIG. 5) is performed by extracting the club header position of each operation through motion extraction using the difference in pixel values between the images. Represents an image within an area. An image showing the difference in pixel values represents the degree of distribution of pixel values moved using a 3x3 mask. A total of three images are extracted from the back-top section, and the second image of the back-top finds the image where the header appears in the rightmost area of the image before downswing in the tower to extract the correct back-top image. The image of the impact part is a time interpolation using a frame after downswing, and a total of four images are extracted. The image of the finish area extracts three finish images by time interpolation based on the Palosru image.

In addition, the automatic marking function analyzes the classification motion for each extracted frame and automatically marks the part that needs to be corrected in the body movement with various lines.

The display function reproduces the continuous operation of the golf swing at a normal speed and a slow speed on the computer monitor, and also displays the division motion as a still image, and shows the elapsed time between still images and the total swing time from the address to the finish. give.

In addition, the image data transmission function transmits the image analysis data indicating the continuous operation and the division operation of the golf swing stored in the data processing computer through the communication network in a state in which a communication network is established between the data processing computer and the operation server computer.

The data processing computer displays a graph using a weight detector for detecting the weight of both feet from the weight scale when swinging the golfer, and the weight data of the feet detected by the weight detector, and extracts the graph from the image data. A weight movement analysis function connected to the division motion frame and a head speed analysis function for calculating the head speed using the head speed data detected by the speed detector are performed.

The weight shift analysis function generates a graph of the weight change of both feet using the weight shift data received from the weight detector, and matches each swing posture point on the weight change graph with a plurality of frames generated by the frame extraction function.

The image data receiving and storage unit receives the golf image data transmitted at high speed through the communication network from the data processing computer and stores the golf image data in the image database.

The image database may store still images automatically marked for posture correction using continuous operation image data and a classification operation received from a data processing computer, and the stored image data may be searched in various ways according to a member's search request. Manage it.

And, if the member accesses the homepage of the golf swing self-clinic system and requests the data, the image data search unit reproduces the own image data in normal continuous motion or slow motion, and also displays a still image in the form of automatically marked division motion. It is displayed on the homepage for comparison with the weight change graph generated by the weight shift analysis function.

And, the auto-marked still image shown in the golf self-clinic homepage extracts the frame of the extraction point as shown in Fig. 8, and then for each of four swing sections (address-takeback, takeback-backtop, downswing-impact, follow) Through to finish), and the frames extracted by dividing each section into an array of still images.

The CD production function stores a continuous motion file and an automatically marked still image file among members' golf swing posture image data on a compact disc at a data processing computer or an operation server computer.

2 is a conceptual view of the golf swing self-clinic system according to the present invention.

The overall operation of the golf swing self-clinic system of the present invention is as follows.

1. Set the Login screen (21).

This is similar to the member login screen on the web. In addition, the ID and password are input to authenticate the member. In this case, an appropriate error message is output if the user is not a member or if the password is incorrect.

Here, the difference from the login page on the web is that the client does not directly send a query to the database, but rather to the service monitor program 24 that exists as a daemon on the server. Passing the ID and password, this daemon directly accesses the DB, gets the results, and then sends the client a message or tells it to run another module.

Meanwhile, according to the capture start signal, data of the capture, image extraction, and marking image are extracted as described above.

2. Data Transfer (22).

1) Data Processing The connection between the computer and the operating server is via FTP.

2) Capture Create a directory to store information from your computer. At this time, the directory is created with the information of the computer name, user ID, and system time at the time of transmission. For example, computer name: Yasec, user ID: yasec13, transfer time: February 10, 14:10 When the information comes in, the directory to be stored on the operation server is as follows.

d: \ home \ golfproject \ capture \ computer name \ user ID \ transmission time \ data

3) Create the directory as above and send it.

4) If there is no file to transfer, execute the next module without transferring.

5) If transmission fails, five retransmissions are performed.

6) If the transmission fails and is resent, instead of creating the directory again with the information received above, access the created directory and transfer the file to the directory.

3. Send the email automatically (23).

1) If the file transfer is successful, the send mail module is executed automatically.

2) When the user logs in to take a picture, he is authenticated as a member and brings the member's email address. This information will be sent automatically to the user.

4. Database (25)

1) Upon user login, member authentication and password check are performed and the result is returned to the server program.

2) After the FTP transfer, add the client's information (for example, the directory where the file is stored and the user ID) to the DB as a record.

5. The Server Monitor Program 24 performs the following functions. In other words, it can be monitored at any time by sending a message from the client. It also prints out what can happen on the client. For example, where did you connect, capture was successful, images were extracted correctly, files were sent correctly, mail was sent to you automatically, what information on your computer was there, Information about whether the client is terminated is available.

3 is an explanatory diagram of a homepage search process in a user module according to the present invention, which shows a process of accessing a golf clinic homepage from a subscriber's computer and searching for his own image analysis data.

1) The subscriber computer accesses the golf clinic homepage via the Internet (31).

2) Log in to the homepage using their ID and password (32).

3) Search their own video analysis data (analysis data and marking image, etc.) stored in the home server (operation server). The home server accesses the connected database and outputs the data in various forms requesting the stored data (33).

4) If the subscriber logs out, the search ends (34).

4 is a flowchart illustrating an embodiment of a motion extraction process according to the present invention.

1) a preprocessing process of converting a color image into a gray level image (41).

2) Since all frame files stored in the memory are processed sequentially, only one pixel comparison is required (42).

3) The difference between the nth frame image and the n-1th frame image is converted into an image having pixel values of 0 and 255.

4) However, if the pixel value is 50 or less, it is regarded as an unmoved pixel by treating it as an unclear pixel value (43).

5) In order to reduce the memory load, the motion-extracted image is passed to the next processing step without storing (44).

Meanwhile, the color extraction method is as follows.

1) The size of the image is based on 320 x 240, the size of the MPEG file screen resulting from the MPEG encoding.

2) The pixel value is calculated using a 3/3 mask.

3) When the sum of the pixels in the mask in the region of the specific operation becomes greater than or equal to the reference value, the image is recognized and stored as an image including the specific operation.

4) The reference value of the sum of the pixels to be compared is determined by testing based on the state of the screen, the background, and the position of the user.

5) The number of specific areas is calculated by the number of images required for the golf clinic, and the range of the area is determined by the test by the number of frames and the position of the golfer.

On the other hand, the still image extraction algorithm and the extraction area are as follows.

FIG. 5 is a flowchart illustrating a still image extraction process according to the present invention, and FIG. 8 is an explanatory diagram for allocating a still image extraction point and a section-specific extraction point according to a swing trajectory.

The extraction of a specific frame is divided into each swing section as shown in FIG. same.

1) Address-Takeback: 1 ~ 4

a. Address area check

b. 0 ~ 30 degree: 30 degree area inspection

c. 30 ~ 45 degree: 45 degree area inspection

d. 45 ~ 60 degree: 60 degree area inspection

2) Takeback-Backtop: 5 ~ 9 (minimum 3, maximum 5 depending on swing width)

(Take-back / top / time interpolation (one after top, for over-check after backtop) / back-top)

a. 90 degree area inspection

b. Examine tower area

c. Inspect the Top 7 area

d. Examining the golf header on the rightmost 8 of the white top

e. Backtop 8 times + 3 frame time interpolation

3) Downswing: 10 ~ 13

-> (Up to 5 chapters-Extract the current tower area 1 sheet, Time interpolation 3 sheets-> Add 1 time interpolation from the tower)

a. 8 times + frame time interpolation

b. 135 degree area inspection

c. 11 times + 1 frame time interpolation

d. 11 times + 2 frames time interpolation

e. 90 degree area inspection

4) Impact (45 ~ 135 degrees): 14 ~ 18

-> (At least 2 and at most 5 depending on swing speed)

a. Impact 1: 14 times + 1 frame time interpolation

b. Impact 2: 14 times + 2 frames time interpolation

c. Impact 3: 14 times + 3 frames time interpolation

d. Impact 4: 14 times + 4 frame time interpolation

e. Impact 5: Interpolate 14 times + 5 frames

5) Palusru ~ Finish: 19 ~ 22

-> (5 photos fixed-1 current image, 3 times interpolated-> 1 time interpolated)

a. Palosuru: Palosru Area Inspection

b. Finish 1: Palosru + 3 frame time interpolation

c. Finish 2: Palosru + 6 frame time interpolation

d. Finish 3: Palosru + 9 Frame Time Interpolation

e. Finish 4: Palosru + 18 Frames Time Interpolation

Next, a process of extracting a specific still picture frame that represents a main calibration point in each section divided by swing sections will be described with reference to FIG. 5.

First, the video is divided into still images (51). Then, it is checked whether the image increase and the pixel increase (52, 53).

Thereafter, still image frames are extracted for each major calibration point in each section (54 to 83). That is, address region images 54 and 55, 30 degree region images 56 and 57, 45 degree region images 58 and 59, 60 degree region images 60 and 61, 90 degree region images 62 and 63 , Top Area Image (64,65), Backtop Area1 Image (66,67), Backtop Area2 Image (68,69), Backtop Area3 Image (70,71), Swingtop Area1 Image (72,73) Swing 90 degree region image (74,75), swing top region 2 image (76,77), impact1 or impact2 or impact3 or impact4 image (78,79), swing-90 degree image (80,81) ), And finish 1 or finish 2 or finish 3 images (82, 83).

The specific frames extracted in the present invention are stored in the form of still images, and are automatically displayed using a computer program in such a manner that a straight line, a broken line, a circle, or the like is displayed at a specific point by using a predetermined marking point for each frame. Marking The computer-programmed approach eliminates the time spent manually drawing by the expert and eliminates the need for manpower to use the expert.

In the conventional golf clinic system, the still image of the desired number of swing postures is simply arranged in order to show the flow of the postures, thereby not giving the user a familiarity with the screen composition on the Internet homepage, and the golfer's habits for each swing section. It did not provide any information.

However, the golf swing self-clinic system of the present invention can provide sufficient information on the overswing or underswing generated during the golf swing by showing the swing postures according to its own calibration points for each section as described above. Additional explanations for underswing were added to help self-clinics understand.

In addition, the present invention has the advantage that the screen can be flexibly configured for each section regardless of the number of frames extracted when the screen configuration of the Internet homepage.

In addition, the weight movement data of the two feet received from the scale through the RS-232C interface cable is read 20 times per second in synchronization with the start of recording of the swing posture, and in this order of matching the frame number of a specific frame. Extract the weight data and draw the graph of weight movement in the form of a line, compare it with the standard weight movement graph, and write the same name as the specific frame at each point, so that the swing posture of the specific frame and the weight movement in the corresponding posture Make comparisons possible.

In addition, the present invention, in the conventional method that the golfer can access the Internet homepage and search only his or her own swing image continuous motion or still image, the natural link between the continuous motion and the still image is not effective and visual teaching is impossible In order to improve the performance, when the Internet access subscriber requests the slow playback, the non-linear video editing technology is used to play the video at low speed, thereby accurately displaying the swing posture at an important point that can be missed in actual operation, thereby enabling self-teaching.

In addition, the present invention employs a non-linear video editing technology to enable the Internet subscribers to access the golf clinic homepage to search for the separated motion of their swing posture. When MPEG-encoded captured image data by video compression technique, it sets the index frame and plays it from the beginning by the user's click. When it finds the index frame, it pauses at the index frame and next index by the next click. When the frame is found, the golfer can clinic himself by section swinging by using the technique of replaying and pausing the five light bulbs by pausing the frame.

In addition, the present invention employs a non-linear search technology of compressed image data to enable accurate search of the necessary portion in the video state to improve the convenience and to combine the flow image.

In addition, the present invention accurately calculates the swing time for each section using the information of 30 frames per second of the compressed image data, calculate the total time of the swing to inform the golfer to diagnose and correct the swing speed and tempo by themselves .

In addition, according to the present invention, the golf swing posture shooting, analysis, and transmission operations were not processed online, and each operation was separately operated, which required considerable time to analyze image data and transfer the data to a server. In order to make up for the shortcomings of inefficient work such as waste, automatic shooting of swing posture, automatic analysis and marking of captured images and weight movement data, automatic transmission and database of analyzed data, automatic mailing of analysis data Efficient and economical system is realized by system batch processing automatically without manual intervention.

In addition, the present invention is distinguished from the swing posture continuous operation in the golf driving range computer or server computer in addition to the function of playing the swing posture video, that is, the file representing the continuous posture of the golf posture, by accessing the mail or the Internet home page and playing it only in the search window. The files showing the movement are stored on CD or DVD for easy portability and safe storage.

6a to 6d is a detailed configuration diagram of an embodiment of a golf swing self-clinic system according to the present invention.

FIG. 6A is a detailed configuration diagram of an embodiment of the front module 210. The login unit 211 performs preparation for login and shooting by inputting an account number and a password of a golfer, and captures and encodes a front video. The front video capture encoding unit 212, the side video receiving unit 213 receiving the side video and weight data from the side module, the front three videos, three side videos to provide the user with a selection function, three front , A video playback and selection unit 214 providing three side videos in a slow play mode, a video transmission unit for transmitting the selected front and side video files and a weight data file to the data processing module 230 ( 215).

FIG. 6B is a detailed configuration diagram of an embodiment of the side module 220. The side video capture encoding unit 221 receives an execution start signal from the front module 210 and captures and encodes three side videos. ), And receives a video transmission request message from the front module 210 and transmits three side videos to the front module 210.

FIG. 6C is a detailed configuration diagram of an embodiment of the data processing module 230. The weight data input storage unit reads and stores the weight data of the golfer's feet 20 times per second from the weight scale 250 according to a video capture encoding start signal. 231), a front / side video receiver 232 for receiving one front and one side video, and a front still image extractor for extracting up to 24 still images using color and motion extraction techniques from the front video; 233, the side still image extractor 234 for extracting the side still image from the measured video using the front still image data, the swing time, the time information extractor 235 for calculating the time for each section, and the front Still image numbering unit 236 for marking and storing still images, marking and storing side still images, and a specific motion weight day for storing weight data of a specific specific swing motion. Storage unit 237, a swing section video file cutting unit 238 for cutting a video to show the image for each section, and matching the weight data of the two feet and the still image, video file, still picture, marking image ( Marking Image), time data (Time Data) includes an email or video data transmission and server transmission unit 239 for transmitting to the member or to the operation server.

FIG. 6D is a detailed configuration diagram of an embodiment of an operation server module. The image data receiving unit 111 for receiving image analysis data from the golf terminal system 200 and an image for efficiently storing the received image data in the database 113. Data storage 112, subscriber management unit 114 for managing subscriber processing request data from subscriber terminals, video data retrieval unit 115 for performing / processing data retrieval requests of various functions from subscriber terminals, and retrieved various data. It includes a video data transmission unit 116 for transmitting to the subscriber terminal.

7A to 7D are detailed flowcharts of an embodiment of a golf swing self-clinic method according to the present invention.

7A is a flowchart of an embodiment of the front module 210.

First, prepare for logging and shooting by inputting the golfer's account number and password (711, 712). Then, capturing, encoding, and storing of the front three videos are performed (713, 714). Then, three side image data are received by requesting the side swing scene image data (715). Then, three front and three side videos are played to provide a user with an image selection function (716, 717). That is, three front and three side videos are provided in a slow play mode. Then, the user detects a video selection signal. Thereafter, the selected front and side video files are transmitted to the data processing module PC3 (718).

7B is a flow diagram of one embodiment operation of side module 220.

First, photographing is started by receiving a photographing start message from the front module (721). In operation 722 and 723, the three sides of the video are captured, encoded, and stored. In response to the video transmission request message from the front module, three side video data are transmitted to the front module PC1 (724 and 725).

7C is a flowchart of an embodiment of a data processing module 230.

First, an account number and password message are received from the front module, and subscriber authentication is requested to the server (731,732), and the authentication result is received and notified to the front module (733,734). Then, by receiving a start signal from the front module to store the weight data of both feet three times (735, 736, 737). One front and one side video data is received (738). Then, up to 24 still images are extracted from the front video using color and motion extraction techniques (FIGS. 4 and 5) (739). Then, the side still image is extracted from the side video using the front still image data (740). Then, the swing time, time information for calculating the time for each section is extracted (741). Then, the front still image marking and storage and the side still image marking and storage are performed (742). Then, the weight data of the determined specific swing motion is stored (743). In operation 744, the moving image is cut to show the image for each section, and the weight data of the selected feet is matched with the still image (744). Then, the video file, the still image, the marking image (Marking Image), the time data (Time Data) is sent to the member by email (745), and the image analysis data is transmitted to the operation server (746).

7D is a flow diagram of one embodiment of an operational server module.

First, a golfer's member subscriber authentication request message is received from the golf terminal system 200 (751, 752) and subscriber authentication is processed (753, 754). If authentication fails, processing for membership is performed (755). Thereafter, the e-mail message and the image analysis data sent from the golf terminal system 200 is received (756) and the e-mail message is transmitted to the mering server (757). The received image analysis data is easily stored in the database for easy retrieval by subscriber and date (758). Then, the stored video data is transmitted to the subscriber member in the form of an email.

Meanwhile, the subscriber authentication request message is received from the subscriber station (759,760) and the subscriber authentication is processed (761,762). If authentication fails, processing for membership is performed (763). That is, the subscriber process request data from the subscriber station is subscribed, modified, and deleted. In operation 764, the requested data search from the subscriber station is performed / processed. Then, the retrieved various data are transmitted to the subscriber station (765).

Meanwhile, the computer screen function of the golf terminal system is as follows.

1.Login page: If you are not a member by checking the ID and password entered by the user, and if the password is incorrect, you will be returned to the login screen again. You will be taken to a page where you can view the images. In addition, since the user ID is stored in the session, if there is no input for a certain time after login, the user must log in again.

2. User View page: This page is displayed after the login is successful. It is divided into the case of member but not shooting and the case of shooting.

1) If you have never taken a picture: nothing to show on the page (currently)-only the image is visible on the screen

2) In case of shooting: Displaying the number of shots, video view, image view, magnified view, swing time and ratio of each tempo at swing with bar graph with data display

3) Video View: The video view shows a continuous playback and slow playback using a self-developed player.

4) Still image view: Images of 14 ~ 19 frames are arranged in a new window, and when each picture is clicked, the image enlarged to 640x480 is displayed and the information on which frame the enlarged picture is is displayed.

5) Weight shift data view: Draw a graph of weight, that is, weight data of both feet, and match the graph to continuous playback and still images to show the state of weight shift in each segment motion frame. In addition, the state of the weight shift of the golfer displays a reference weight shift graph to allow comparison of the weight shift with the reference weight shift.

Meanwhile, the function of the manager module of the operation server system is as follows.

1) Membership Registration

2) Delete User Data

3) Edit member information

4) Database Management

Meanwhile, the homepage search screen function of the user module, that is, the subscriber's computer, is as follows.

a. Video Play, Slow Play

b. Show still image of 5 sections of swing posture

c. Show Marking Image, Provide Teaching Contents Link

d. Show enlarged Marking Image

e. Display Time Data (Time Graph between Frames for Still Images by Section)

f. Total swing time display

g. Displaying both weight data and reference weight during movie playback and on the still image screen

h. Division motion search function by user's selection

i. Head speed and flying distance indication function

As described above, the method of the present invention may be implemented as a program and stored in a recording medium (CD-ROM, RAM, ROM, floppy disk, hard disk, magneto-optical disk, etc.) in a computer-readable form.

The present invention described above is not limited to the above-described embodiments and the accompanying drawings, and various substitutions, modifications, and changes are possible in the art without departing from the technical spirit of the present invention. It will be apparent to those of ordinary knowledge.

The present invention as described above, by using a computer program method eliminates the work time manually drawn by the expert, and eliminates the need for manpower to use the expert.

In addition, the golf swing self-clinic system of the present invention can provide sufficient information on the overswing or underswing generated during the golf swing by showing the swing postures according to its own calibration point for each section as described above. In addition, an additional explanation for underswing was added to help the self-clinic understand.

In addition, the present invention has the advantage that the screen can be flexibly configured for each section regardless of the number of frames extracted when the screen configuration of the Internet homepage.

In addition, the present invention is to compare the weight movement graph with the standard weight movement graph, and put the same name as a specific frame in each point, so that the swing posture of the specific frame and the weight movement in the corresponding posture can be compared with each other do.

In addition, the present invention enables self-teaching by accurately showing the swing posture at an important point that can be missed in actual operation by using the nonlinear video editing technology when the Internet access subscriber requests the low speed playback. .

In addition, the present invention employs a non-linear video editing technology to enable the Internet subscribers to access the golf clinic homepage to search for the separated motion of their swing posture. This allows the golfer to clinic on his own by the swing movement by section.

In addition, the present invention employs a non-linear search technology of compressed image data to enable accurate search of the necessary portion in the video state to improve the convenience and to combine the flow image.

In addition, the present invention accurately calculates the swing time for each section using the information of 30 frames per second of the compressed image data, calculate the total time of the swing to inform the golfer to diagnose and correct the swing speed and tempo by themselves .

In addition, the present invention is the system automatically without manual intervention, such as automatic shooting of swing posture, automatic analysis and marking of the captured image and weight movement data, automatic transmission and database of the analyzed data, automatic mailing of the analysis data, etc. As a result, an efficient and economical system was implemented by batch connection processing.

In addition, the present invention is distinguished from the swing posture continuous operation in the golf driving range computer or server computer in addition to the function of playing the swing posture video, that is, the file representing the continuous posture of the golf posture, by accessing the mail or the Internet home page and playing it only in the search window. The files showing the movement are stored on CD or DVD for easy portability and safe storage.

Claims (3)

In the golf swing self-clinic system, Means for capturing and encoding a golf swing posture image data captured by a camera installed at a golf site at a terminal computer; Means for automatically analyzing the encoded image data to extract still picture frames necessary for swing posture correction; Means for automatically marking the necessary calibration points on the frame using the extracted still picture frame without the involvement of a golf teaching expert; Means for generating a weight change graph of both feet using weight change data of both feet of a golfer read from the scale in synchronization with the start time of the swing posture image data; Means for matching the created weight shift change graph with the still picture frame extracted from image data; And Means for transmitting various data related to the image data to the outside through a communication network Golf swing self-clinic system comprising a. In the golf swing self-clinic method applied to the golf swing self-clinic system, A first step of capturing and encoding a golf swing posture image data captured by a camera installed at a golf site in a terminal computer; A second step of automatically analyzing the encoded image data and extracting still image frames necessary for swing posture correction; A third step of automatically marking necessary correction points on the frame using the extracted still picture frame without the intervention of a golf teaching expert; A fourth step of generating a weight change graph of both feet using weight change data of both feet of the golfer read from the scale in synchronization with the start time of the swing posture image data; A fifth step of matching the created weight shift change graph with the still picture frame extracted from the image data; And Sixth step of transmitting various data related to the image data to the outside through a communication network Golf swing self-clinic method comprising a. In the golf swing self-clinic system with a processor, A first function of capturing and encoding a golf swing posture image data captured by a camera installed at a golf site at a terminal computer; A second function of automatically analyzing the encoded image data and extracting still image frames necessary for swing posture correction; A third function of automatically marking necessary correction points on a frame using the extracted still picture frame without the intervention of a golf teaching expert; A fourth function of generating a graph of weight movement change of both feet using weight change data of both feet of a golfer read from the scale in synchronization with the start time of the swing posture image data; A fifth function of matching the created weight shift change graph with the still picture frame extracted from the image data; And Sixth function for transmitting various data related to the image data to the outside through a communication network A computer-readable recording medium having recorded thereon a program for realizing this.