WO2022041322A1 - 应用于冰球传控训练具有动作捕捉功能的系统 - Google Patents

应用于冰球传控训练具有动作捕捉功能的系统 Download PDF

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Publication number
WO2022041322A1
WO2022041322A1 PCT/CN2020/114532 CN2020114532W WO2022041322A1 WO 2022041322 A1 WO2022041322 A1 WO 2022041322A1 CN 2020114532 W CN2020114532 W CN 2020114532W WO 2022041322 A1 WO2022041322 A1 WO 2022041322A1
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ice hockey
virtual
image
judgment
area
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PCT/CN2020/114532
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English (en)
French (fr)
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王莉
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腾特体育科技南通有限公司
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Priority to US16/972,005 priority Critical patent/US20220314093A1/en
Publication of WO2022041322A1 publication Critical patent/WO2022041322A1/zh

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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00—Scenes; Scene-specific elements
    • G06V20/40—Scenes; Scene-specific elements in video content
    • G06V20/41—Higher-level, semantic clustering, classification or understanding of video scenes, e.g. detection, labelling or Markovian modelling of sport events or news items
    • G06V20/42—Higher-level, semantic clustering, classification or understanding of video scenes, e.g. detection, labelling or Markovian modelling of sport events or news items of sport video content
    • A—HUMAN NECESSITIES
    • A63—SPORTS; GAMES; AMUSEMENTS
    • A63B—APPARATUS FOR PHYSICAL TRAINING, GYMNASTICS, SWIMMING, CLIMBING, OR FENCING; BALL GAMES; TRAINING EQUIPMENT
    • A63B69/00—Training appliances or apparatus for special sports
    • A63B69/0024—Training appliances or apparatus for special sports for hockey
    • A63B69/0026—Training appliances or apparatus for special sports for hockey for ice-hockey
    • A—HUMAN NECESSITIES
    • A63—SPORTS; GAMES; AMUSEMENTS
    • A63B—APPARATUS FOR PHYSICAL TRAINING, GYMNASTICS, SWIMMING, CLIMBING, OR FENCING; BALL GAMES; TRAINING EQUIPMENT
    • A63B71/00—Games or sports accessories not covered in groups A63B1/00 - A63B69/00
    • A63B71/06—Indicating or scoring devices for games or players, or for other sports activities
    • A63B71/0619—Displays, user interfaces and indicating devices, specially adapted for sport equipment, e.g. display mounted on treadmills
    • A—HUMAN NECESSITIES
    • A63—SPORTS; GAMES; AMUSEMENTS
    • A63B—APPARATUS FOR PHYSICAL TRAINING, GYMNASTICS, SWIMMING, CLIMBING, OR FENCING; BALL GAMES; TRAINING EQUIPMENT
    • A63B71/00—Games or sports accessories not covered in groups A63B1/00 - A63B69/00
    • A63B71/06—Indicating or scoring devices for games or players, or for other sports activities
    • A63B71/0619—Displays, user interfaces and indicating devices, specially adapted for sport equipment, e.g. display mounted on treadmills
    • A63B71/0622—Visual, audio or audio-visual systems for entertaining, instructing or motivating the user
    • A—HUMAN NECESSITIES
    • A63—SPORTS; GAMES; AMUSEMENTS
    • A63B—APPARATUS FOR PHYSICAL TRAINING, GYMNASTICS, SWIMMING, CLIMBING, OR FENCING; BALL GAMES; TRAINING EQUIPMENT
    • A63B71/00—Games or sports accessories not covered in groups A63B1/00 - A63B69/00
    • A63B71/06—Indicating or scoring devices for games or players, or for other sports activities
    • A63B71/0619—Displays, user interfaces and indicating devices, specially adapted for sport equipment, e.g. display mounted on treadmills
    • A63B71/0669—Score-keepers or score display devices
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T17/00—Three dimensional [3D] modelling, e.g. data description of 3D objects
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
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    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/90—Determination of colour characteristics
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/40—Extraction of image or video features
    • G06V10/44—Local feature extraction by analysis of parts of the pattern, e.g. by detecting edges, contours, loops, corners, strokes or intersections; Connectivity analysis, e.g. of connected components
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    • G06V40/23—Recognition of whole body movements, e.g. for sport training
    • A—HUMAN NECESSITIES
    • A63—SPORTS; GAMES; AMUSEMENTS
    • A63B—APPARATUS FOR PHYSICAL TRAINING, GYMNASTICS, SWIMMING, CLIMBING, OR FENCING; BALL GAMES; TRAINING EQUIPMENT
    • A63B71/00—Games or sports accessories not covered in groups A63B1/00 - A63B69/00
    • A63B71/06—Indicating or scoring devices for games or players, or for other sports activities
    • A63B71/0619—Displays, user interfaces and indicating devices, specially adapted for sport equipment, e.g. display mounted on treadmills
    • A63B2071/0647—Visualisation of executed movements
    • A—HUMAN NECESSITIES
    • A63—SPORTS; GAMES; AMUSEMENTS
    • A63B—APPARATUS FOR PHYSICAL TRAINING, GYMNASTICS, SWIMMING, CLIMBING, OR FENCING; BALL GAMES; TRAINING EQUIPMENT
    • A63B71/00—Games or sports accessories not covered in groups A63B1/00 - A63B69/00
    • A63B71/06—Indicating or scoring devices for games or players, or for other sports activities
    • A63B2071/0675—Input for modifying training controls during workout
    • A63B2071/0677—Input by image recognition, e.g. video signals
    • A—HUMAN NECESSITIES
    • A63—SPORTS; GAMES; AMUSEMENTS
    • A63B—APPARATUS FOR PHYSICAL TRAINING, GYMNASTICS, SWIMMING, CLIMBING, OR FENCING; BALL GAMES; TRAINING EQUIPMENT
    • A63B2102/00—Application of clubs, bats, rackets or the like to the sporting activity ; particular sports involving the use of balls and clubs, bats, rackets, or the like
    • A63B2102/24—Ice hockey
    • A—HUMAN NECESSITIES
    • A63—SPORTS; GAMES; AMUSEMENTS
    • A63B—APPARATUS FOR PHYSICAL TRAINING, GYMNASTICS, SWIMMING, CLIMBING, OR FENCING; BALL GAMES; TRAINING EQUIPMENT
    • A63B71/00—Games or sports accessories not covered in groups A63B1/00 - A63B69/00
    • A63B71/06—Indicating or scoring devices for games or players, or for other sports activities
    • A63B71/0605—Decision makers and devices using detection means facilitating arbitration

Definitions

  • the invention relates to a sports training system, in particular to a system with motion capture function applied to ice hockey pass control training.
  • ice hockey training generally needs to be carried out in professional ice rinks.
  • Traditional training is mainly based on on-site coaching.
  • the object of the present invention is to provide a system with motion capture function applied to ice hockey pass control training, which solves one or more of the above-mentioned problems in the prior art.
  • the present invention provides a system with motion capture function applied to ice hockey transmission control training, comprising a running part, a detection part and a display part, the detection part and the display part are connected in communication,
  • the running part is a device with identification features, and the running part and the detection part are set correspondingly;
  • the detection part is used for detecting the running part, and captures the action of the running part, and forms a detection signal and transmits it to the display part;
  • the display unit is used to store the virtual scene, receive the detection signal, and display part of the detection signal in the virtual scene.
  • the display portion is connected in communication with a server.
  • the detection signal contains an image signal of an image of the running part
  • the display part is configured to add a virtual model corresponding to the image of the running part into the virtual scene.
  • the display unit stores a judgment rule and a mode name
  • the mode name is set corresponding to the judgment rule
  • the judgment is made according to the judgment rule.
  • the judgment rules include fixed-point judgment rules, and the fixed-point judgment rules include virtual puck setting rules, virtual puck identifications, virtual puck identification sequences, and scores.
  • the method for fixed-point judgment includes the following steps:
  • the current virtual ice hockey identification sequence is compared and judged with the virtual ice hockey identification sequence in the judgment rule.
  • the judgment rules include trajectory judgment rules
  • the fixed-point judgment rules include area division rules, area identifiers, area identifier sequences, and scores.
  • the method for trajectory determination includes the following steps:
  • a system with motion capture function applied to ice hockey transmission control training is applied to ice hockey training to form an ice hockey training system, including ice hockey, ice hockey stick, image acquisition device and display device, and the image acquisition device and the display device are connected in communication,
  • An identification feature is provided on the ice hockey as a running part
  • the image acquisition device is used as a detection part, and the irradiation area of the image acquisition device corresponds to the virtual scene, and is used to detect the ice hockey, capture the action of the ice hockey, and form an image signal containing the ice hockey image;
  • the display device is used as a display part, and the display device is used to store judgment rules and virtual scenes, receive image signals, obtain position information of the ice hockey image in the irradiation area, add the ice hockey image to the virtual scene and display it according to the position information, and at the same time according to the position information.
  • the position of the ice hockey image in the virtual scene and the judgment rules are used to judge.
  • the identifying features include one or more of color, shape, and pattern.
  • the virtual scene of the display part is used, which breaks the restrictions of the sports field and facilitates the promotion of the sports involved.
  • FIG. 1 is a schematic structural diagram of a system with motion capture function applied to ice hockey pass control training in an embodiment of the present invention
  • FIG. 2 is a schematic structural diagram of a setting rule for a scene of a plane viewing angle when a single-point ball is played in an embodiment of the present invention
  • FIG. 3 is a schematic structural diagram of a setting rule for a scene of a plane viewing angle when a two-point cross ball is played in an embodiment of the present invention
  • FIG. 4 is a schematic structural diagram of a setting rule for a scene of a plane viewing angle when a horizontal two-point obstacle throws a ball in an embodiment of the present invention
  • FIG. 6 is a schematic structural diagram of a setting rule for a scene of a plane viewing angle when playing a four-point obstacle in an embodiment of the present invention
  • FIG. 7 is a flowchart of an operation method of the ice hockey training system in an embodiment of the present invention.
  • This embodiment proposes an ice hockey training system formed by applying a system with motion capture function applied to ice hockey pass control training to ice hockey training.
  • One user corresponds to one ice hockey training system, and each ice hockey training system includes ice hockey, ice hockey stick, image acquisition device and display device,
  • the ice hockey stick is used to drive the ice ball to move
  • the ice hockey is used as the running part 203, the outer surface of the ice hockey is orange-red or has a specific pattern, and the orange-red or the specific pattern is used as the identification feature, and the position of the ice hockey corresponds to the position of the image acquisition device, that is, the ice hockey is placed in the illumination area of the image acquisition device.
  • the image acquisition device is used as the detection part 202.
  • the image acquisition device can use a camera.
  • the camera is fixedly arranged above the flat ground (clamps can be clamped on the edge of the table to form a fixed arrangement), and the lens of the camera is aimed at the flat ground (the lens is aligned with the ground).
  • the flat ground is preferably the ground with a large color difference between the color of the ice hockey and the color of the ice hockey, with few lines and less noise), and the irradiation area of the image acquisition device corresponds to the virtual scene, which is used to detect the ice hockey, capture the action of the ice hockey, and form an image signal containing the ice hockey image;
  • the display device is used as the display part 201.
  • the display device can be selected from a smart display device such as a smart TV.
  • An application program is installed on the smart display device.
  • the smart display device downloads the mode name, the judgment rule and the virtual scene, and stores them in the local database.
  • the device forms a communication connection with the camera through data lines or wireless signals, receives image signals, obtains the location information of the ice hockey image in the irradiation area, adds the ice hockey image to the virtual scene and displays it according to the location information, and displays the ice hockey image in the virtual scene according to the location information.
  • the location and judgment rules are used to judge, the mode name and judgment result form a local history record and are stored in the local database. When connected with the server 1, the local history record will add the user name corresponding to the display device and upload it to the server 1.
  • the historical records corresponding to other user names, or the historical records corresponding to the same mode name and the user names corresponding to the historical records can be viewed through the communication network.
  • the display device in each ice hockey training system is connected in communication with the server 1, and the server 1 stores the user name, the user login password, the total score, and the historical record.
  • the user login password, the total score and the historical record all correspond to the user name.
  • the virtual scene includes a scene from a plane perspective and a scene from a 3D perspective.
  • a scene from a plane perspective is used as an example.
  • TIME 000 is also set above the virtual scene, where "000" represents the training duration.
  • the mode names and judgment rules in this embodiment are specifically shown in Table 1 below, where the center point refers to the center point of the area between the two limit lines 304 , and the area identification order of the horizontal two-point obstacle ball refers to the formation of the One runs the puck around the two first obstacle points 305 to form the first cycle trajectory of the shape of ⁇ ; the area identification sequence of the vertical two-point obstacle ball refers to the formation of a puck running around the two second obstacle points 310 to form a The second cycle trajectory of the figure 8; the area identification sequence of the four-point obstacle ball refers to the formation of a continuous puck running around each third obstacle point 315 to form a third cycle trajectory, which is included in the third cycle trajectory.
  • a closed track is formed around each third obstacle point 315 , and there are many kinds of region identification sequences for forming the track, which are illustrated in Table 1.
  • the operation method of the ice hockey training system described in this embodiment includes the following steps:
  • Step 1 Prepare the equipment, select a training site with a flat ground, and fix the camera above the training site, so that the camera lens is set downwards, aiming at the flat ground of the training site, and place the orange puck in the area illuminated by the camera On the flat ground, and form a communication connection between the camera and the intelligent display device through the data cable;
  • Step 2 Corresponding to the irradiation area and virtual scene of the camera, turn on the camera, run the application software on the smart display device, display the virtual scene on the smart display device, and adjust the height of the camera or the focal length of the camera to make the irradiation area of the camera match the virtual scene. scene correspondence;
  • Step 3 Select the mode, make a judgment, and score, and combine the mode with the scoring result to form a local history record.
  • the selectable modes include:
  • Step 3.1.1 setting rules, setting two first virtual pucks 302 in the virtual scene according to the setting rules of the one-touch ball, and adding the corresponding virtual puck marks 01 and 02, as shown in Figure 2;
  • Step 3.1.2 collecting image information, the camera collects the image information containing the ice hockey image, and transmits it to the intelligent display device;
  • Step 3.1.3 Analyze and convert the image information, analyze and convert the image information in the intelligent display device, select orange-red pixels with HSV and RGB color range, filter out other colors, form a virtual model of ice hockey, and add it to the virtual scene , capture and capture the shape of the ice hockey through the camera, and display the actual ice hockey shape corresponding to the position in the virtual scene;
  • Step 3.1.4 edge detection, use the canny algorithm to perform edge detection on the virtual model of the ice hockey, and obtain a binary image of the ice hockey, that is, the outline of the ice hockey;
  • Step 3.1.5 judge, use the Hough algorithm to find the virtual puck position, and determine whether there is a virtual model of the puck in the first virtual puck 302, and the virtual model of the puck in the first virtual puck 302 marked as 01 is marked as "01” ”, the virtual model of the ice hockey appearing in the first virtual ice hockey 302 marked as 02 is marked as “02”;
  • Step 3.1.6 scoring, if any one of "01” and "02" appears once, the total score of the previous training will be added by 1, and it will be updated to the total score of this training;
  • Step 3.2.1 Set the rules. Set two second virtual pucks 303 in the virtual scene according to the setting rules of the two-point cross-play, and add the corresponding virtual puck marks 03 and 04. As shown in Figure 3, the two second virtual pucks 303 are added. The second virtual ice hockey 303 marked as 03 among the two virtual ice hockey pucks 303 is displayed, and the second virtual ice hockey 303 marked as 04 is hidden;
  • Step 3.2.2 collecting image information, the camera collects the image information containing the ice hockey image, and transmits it to the intelligent display device;
  • Step 3.2.3 analyze and convert image information, analyze and convert the image information in the intelligent display device, select orange-red pixels with HSV and RGB color range, filter out other colors, form a virtual model of ice hockey, and add it to the virtual scene , capture and capture the shape of the ice hockey through the camera, and display the actual ice hockey shape corresponding to the position in the virtual scene;
  • Step 3.2.4 edge detection, use the canny algorithm to perform edge detection on the virtual model of the ice hockey, and obtain a binary image of the ice hockey, that is, the outline of the ice hockey;
  • Step 3.2.5 One judgment and scoring, using the Hough algorithm to find the virtual ice hockey position, to determine whether there is a virtual model of the ice hockey in the second virtual ice hockey 303 marked as 03, and it is marked as "03". The score is increased by 1 and updated to the total score of the training;
  • Step 3.2.6 the second judgment and scoring, after the virtual model of the ice hockey appears in the second virtual puck 303 marked with 03, the second virtual puck 303 marked with 03 is hidden, and the second virtual puck 303 marked with 04 is hidden. display, and then repeat the above steps 3.2.3 to 3.2.5 to determine whether there is a virtual model of the ice hockey in the second virtual ice hockey 303 marked as 04, if it appears, it is marked as "04", and the total score of the last training is Add 1, and update it to the total score of this training;
  • Step 3.2.7 repeating step 3.2.6 to achieve multiple judgment and scoring, the two second virtual ice hockey pucks 303 marked as 03 and 04 are alternately displayed until the end of the training;
  • Step 3.3.1 set the rules, according to the setting rules of random balls, a virtual ice puck will appear randomly in the virtual scene;
  • Step 3.3.2 collecting image information, the camera collects the image information containing the ice hockey image, and transmits it to the intelligent display device;
  • Step 3.3.3 analyze and convert image information, analyze and convert the image information in the intelligent display device, select orange-red pixels with HSV and RGB color range, filter out other colors, form a virtual model of ice hockey, and add it to the virtual scene , capture and capture the shape of the ice hockey through the camera, and display the actual ice hockey shape corresponding to the position in the virtual scene;
  • Step 3.3.4 edge detection, use the canny algorithm to perform edge detection on the virtual model of the ice hockey, and obtain a binary image of the ice hockey, that is, the outline of the ice hockey;
  • Step 3.3.5 judge, use the Hough algorithm to find the virtual ice hockey position, determine whether there is a virtual model of the ice hockey in the virtual ice hockey, and record it as "00";
  • Step 3.3.6 Scoring, if "00" appears once, the total score of the previous training will be increased by 1, and it will be updated to the total score of this training;
  • Step 3.4.1 Set the rules. Set four areas in the virtual scene according to the setting rules of the horizontal two-point obstacle ball, namely the first area 306, the second area 307, the third area 308 and the fourth area 309, and Add the corresponding logos 1, 2, 3, and 4, as shown in Figure 4;
  • Step 3.4.2 collecting image information, the camera collects the image information containing the ice hockey image, and transmits it to the intelligent display device;
  • Step 3.4.3 Analyze and convert image information, analyze and convert the image information in the intelligent display device, select orange-red pixels with HSV and RGB color range, filter out other colors, form a virtual model of ice hockey, and add it to the virtual scene , and display it, as the ice hockey runs, the virtual model of the ice hockey also runs in the virtual scene;
  • Step 3.4.4 forming a running track, with the running of the virtual model of the ice hockey, record the identification of the area that the virtual model of the ice hockey passes through in order to form a running track;
  • Step 3.4.5 compare, compare the running track with the sequence of region identification in the judgment rule
  • Step 3.4.6 Judgment and scoring.
  • the total score of the previous training will be increased by 1, and it will be updated to the total score of this training.
  • the trajectory starts to be re-recorded, and go to step 3.4.5 until the training is completed;
  • the specific judgment method includes the following steps:
  • Step 3.5.1 Set the rules. Set four areas in the virtual scene according to the setting rules of the vertical two-point obstacle ball, namely the fifth area 311, the sixth area 312, the seventh area 313 and the eighth area 314, and Add the corresponding signs 5, 6, 7, 8, as shown in Figure 5;
  • Step 3.5.2 collecting image information, the camera collects the image information containing the ice hockey image, and transmits it to the intelligent display device;
  • Step 3.5.3 analyze and convert image information, analyze and convert the image information in the intelligent display device, select orange-red pixels with HSV and RGB color range, filter out other colors, form a virtual model of ice hockey, and add it to the virtual scene , and display it, as the ice hockey runs, the virtual model of the ice hockey also runs in the virtual scene;
  • Step 3.5.4 forming a motion trajectory, with the running of the virtual model of the ice hockey, record the identification of the area that the virtual model of the ice hockey passes through in order to form a running trajectory;
  • Step 3.5.5 compare, compare the running track with the sequence of the region identification in the judgment rule
  • Step 3.5.6 Judgment and scoring.
  • the total score of the previous training will be increased by 1, and it will be updated to the total score of this training.
  • the trajectory starts to be re-recorded, and go to step 3.5.5 until the training is completed;
  • Step 3.6.1 Set the rules. Set seven areas in the virtual scene according to the setting rules of the four-point obstacle ball, namely the ninth area 316, the tenth area 317, the eleventh area 318, the twelfth area 319, The thirteenth area 320, the fourteenth area 321, and the fifteenth area 322, and the corresponding marks 9, 10, 11, 12, 13, 14, and 15 are added, as shown in FIG. 6;
  • Step 3.6.2 collect image information, the camera collects the image information containing the ice hockey image, and transmits it to the intelligent display device;
  • Step 3.6.3 analyze and convert image information, analyze and convert the image information in the intelligent display device, select orange-red pixels with HSV and RGB color range, filter out other colors, form a virtual model of ice hockey, and add it to the virtual scene , and display it, as the ice hockey runs, the virtual model of the ice hockey also runs in the virtual scene;
  • Step 3.6.4 forming a motion trajectory, with the running of the virtual model of the ice hockey, record the identification of the area that the virtual model of the ice hockey passes through in order to form a running trajectory;
  • Step 3.6.5 compare, compare the running track with the sequence of the region identification in the judgment rule
  • Step 3.6.6 Judgment and scoring.
  • the total score of the previous training will be increased by 1, and it will be updated to the total score of this training.
  • the trajectory starts to be re-recorded, and go to step 3.6.5 until the training is completed;
  • Step 4 Choose to switch the mode or close the application software.
  • the mode name and the total score of the training are combined to form a local history record and store in the local database.
  • the ball-swinging board can also be selected as a training field, and the ball-swinging board illuminated by the camera can correspond to the virtual scene by adjusting the height of the camera or the focal length of the camera.

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Abstract

一种应用于冰球传控训练具有动作捕捉功能的系统，包括运行部（203）、检测部（202）以及显示部（201），检测部（202）和显示部（201）通信连接，运行部（203）为具有识别特征的冰球球类器材，运行部（203）与检测部（202）对应设置；检测部（202）用于检测运行部（203），并捕捉运行部（203）的动作，形成检测信号传输给显示部（201）；显示部（201）用于存储虚拟场景，接受检测信号，将检测信号中的部分显示于虚拟场景中进行显示。所述的应用于冰球传控训练具有动作捕捉功能的系统具有制造成本低、不受场地限制、实现了训练方法的手眼分离的优点，是体育感同训练的新技术。

Description

应用于冰球传控训练具有动作捕捉功能的系统 技术领域
本发明涉及运动训练系统，特别涉及一种应用于冰球传控训练具有动作捕捉功能的系统。
背景技术
目前，冰球训练一般需要在专业冰场进行，传统训练主要以教练现场指导为主，缺乏标准化、数字化、可复制和可自学的独立训练方法，训练成本高，训练效率低，训练方法单一，不利于冰球运动的普及和推广及个人水平的提高，因此，冰球训练技术急需通过冰球训练产品的研发提高效率。
发明内容
本发明的目的提供一种应用于冰球传控训练具有动作捕捉功能的系统，解决上述现有技术问题中的一个或多个。
本发明提出一种应用于冰球传控训练具有动作捕捉功能的系统，包括运行部、检测部以及显示部，检测部和显示部通信连接，
运行部为具有识别特征的器材，运行部与检测部对应设置；
检测部用于检测运行部，并捕捉运行部的动作，形成检测信号传输给显示部；
显示部用于存储虚拟场景，接受检测信号，将检测信号中的部分显示于虚拟场景中进行显示。
在某些实施方式中，所述显示部与服务器通信连接。
在某些实施方式中，所述检测信号中含有运行部图像的图像信号，显示部用于将运行部图像对应的虚拟模型添加到虚拟场景中。
在某些实施方式中，所述显示部中存储有判断规则和模式名称，模式名称与判断规则对应设置，并根据判断规则进行判断。
在某些实施方式中，所述判断规则中包括定点判断规则，定点判断规则中包括虚拟冰球设置规则、虚拟冰球标识、虚拟冰球标识顺序以及分数。
在某些实施方式中，定点判断的方法包括如下步骤：
根据定点判断规则中的虚拟冰球设置规则在虚拟场景中设置虚拟冰球，并添加对应的虚拟冰球标识；
做边缘检测，获取运行部二值图；
找虚拟冰球位，判断虚拟冰球内是否有运行部图像出现，；
获取运行部出现在虚拟冰球的顺序，并根据虚拟冰球标识形成当前虚拟冰球标识顺序；
将当前虚拟冰球标识顺序与判断规则中的虚拟冰球标识顺序进行对比判断。
在某些实施方式中，所述判断规则中包括轨迹判断规则，定点判断规则中包括区域划分规则、区域标识、区域标识顺序以及分数。
在某些实施方式中，轨迹判断的方法包括如下步骤：
根据轨迹判断规则中区域划分规则和区域标识将虚拟场景划分为多个区域，并添加区域标识；
获取运行部图像出现在对应区域的顺序，并根据区域标识形成当前区域标识顺序；
将当前区域标识顺序与判断规则中的区域标识顺序进行对比判断。
将应用于冰球传控训练具有动作捕捉功能的系统应用于冰球训练，形成冰球训练系统，包括冰球、冰球杆、图像采集装置以及显示装置，图像采集装置与显示装置通信连接，
所述冰球上设有识别特征，作为运行部；
所述图像采集装置作为检测部，图像采集装置照射区域与虚拟场景对应，用于检测冰球，捕捉冰球的动作，形成含有冰球图像的图像信号；
所述显示装置作为显示部，显示装置用于存储判断规则和虚拟场景，接收图像信号，获取冰球图像在照射区域的位置信息，根据位置信息将冰球图像添加到虚拟场景中并进行显示，同时根据冰球图像在虚拟场景中的位置和判断规则进行判断。
在某些实施方式中，所述识别特征包括颜色、形状以及图案中的一个 或多个。
本发明所述的一种应用于冰球传控训练具有动作捕捉功能的系统的优点为：
包含运行部、检测部以及显示部这些实体部件，运用了显示部的虚拟场景，打破了运动场地的限制，同时也便于推广涉及到的运动。
附图说明
图1为本发明的一种实施方式中应用于冰球传控训练具有动作捕捉功能的系统的结构示意图；
图2为本发明的一种实施方式中为单点拨球时平面视角的场景的设置规则的结构示意图；
图3为本发明的一种实施方式中为两点交叉拨球时平面视角的场景的设置规则的结构示意图；
图4为本发明的一种实施方式中为横向两点障碍拨球时平面视角的场景的设置规则的结构示意图；
图5为本发明的一种实施方式中为纵向两点障碍拨球时平面视角的场景的设置规则的结构示意图；
图6为本发明的一种实施方式中为四点障碍拨球时平面视角的场景的设置规则的结构示意图；
图7为本发明的一种实施方式中冰球训练系统的运行方法的流程图。
具体实施方式
本实施例提出一种将应用于冰球传控训练具有动作捕捉功能的系统应用于冰球训练形成的冰球训练系统，一个用户对应一个冰球训练系统，每个冰球训练系统包括冰球、冰球杆、图像采集装置以及显示装置，
冰球杆用于驱动冰球移动；
冰球作为运行部203，冰球的外表面呈橘红色或者带有特定花纹，将橘红色或者特定花纹作为识别特征，冰球的位置与图像采集装置的位置对应，即冰球放置于图像采集装置的照射区域内；
图像采集装置作为检测部202，图像采集装置可采用摄像头，摄像头固 定设置于平整地面的上方(可采用夹子夹在桌子边沿等地方形成固定设置)，且摄像头的镜头对准平整地面(镜头对准的平整地面优选颜色与冰球颜色色差大、线条少、杂色少的地面)，图像采集装置的照射区域与虚拟场景对应，用于检测冰球，捕捉冰球的动作，形成含有冰球图像的图像信号；
显示装置作为显示部201，显示装置可选用智能电视机等智能显示装置，在智能显示装置上安装应用程序，智能显示装置下载模式名称、判断规则以及虚拟场景，并存储至本地数据库中，智能显示装置与摄像头通过数据线或无线信号形成通信连接，接收图像信号，获取冰球图像在照射区域的位置信息，根据位置信息将冰球图像添加到虚拟场景中并进行显示，同时根据冰球图像在虚拟场景中的位置和判断规则进行判断，模式名称和判断结果形成本地历史记录存储于本地数据库中，在与服务器1连通时，该条本地历史记录会添加显示装置对应的用户名一起上传至服务器1中，
同时通过智能显示装置可以通过通信网络调看其它用户名对应的历史记录，或同一模式名称对应的历史记录和历史记录对应的用户名，
每个冰球训练系统中的显示装置与服务器1通信连接，服务器1内存储用户名、用户登录密码、总分数、历史记录，用户登录密码、总分数以及历史记录均与用户名对应。
虚拟场景包括平面视角的场景和3D视角的场景，本实施例以平面视角的场景为例。
本实施例中，虚拟场景上方设有“SCORE 000”，其中“000”则代表此次训练的总分数。
本实施例中，虚拟场景上方还设有“TIME 000”，其中“000”代表训练时长。
本实施方式中模式名称和判断规则具体如下表1所示，其中中心点指的是两个限位线304之间的区域的中心点，横向两点障碍拨球的区域标识顺序指的是形成一个绕着两个第一障碍点305运行冰球，形成∞字形的第一周期轨迹；纵向两点障碍拨球的区域标识顺序指的是形成一个绕着两个第二障碍点310运行冰球，形成8字形的第二周期轨迹；四点障碍拨球的区域标识顺序指的是形成一个连续的且绕着每个第三障碍点315运行冰球， 形成第三周期轨迹，第三周期轨迹中包括在每个第三障碍点315的四周形成的一个封闭轨迹，形成轨迹的的区域标识顺序有很多种在表1中进行举例说明。
表1
Figure PCTCN2020114532-appb-000001
Figure PCTCN2020114532-appb-000002
如图7所示，本实施方式中叙述的冰球训练系统的运行方法包括如下步骤：
步骤1、设备准备，选择具有平整地面的训练地点，并在训练地点的上方固定摄像头，使得摄像头的镜头向下设置，对准训练地点的平整地面，将橘红色的冰球放置于摄像头照射区域内的平整地面上，并通过数据线将摄像头与智能显示装置形成通信连接；
步骤2、对应摄像头的照射区域与虚拟场景，打开摄像头，并在智能显示装置上运行应用软件，在智能显示装置上显示虚拟场景，通过调整摄像头的高度或者摄像头的焦距使得摄像头的照射区域与虚拟场景对应；
步骤3、选择模式，进行判断，并计分，同时将模式与计分结果结合形 成本地历史记录，可选择模式包括：
3.1、选择单点拨球，具体判断方法包括如下步骤：
步骤3.1.1、设置规则，根据单点拨球的设置规则在虚拟场景中设置两个第一虚拟冰球302，并添加对应的虚拟冰球标识01和02，如图2所示；
步骤3.1.2、采集图像信息，摄像头采集含有冰球图像的图像信息，并传送给智能显示装置；
步骤3.1.3、解析转换图像信息，在智能显示装置中对图像信息进行解析转换，用HSV和RGB色彩范围选择橘红色的像素，滤掉其它颜色，形成冰球的虚拟模型，添加到虚拟场景中，通过摄像头采集捕捉冰球的形状，通过实际的冰球的形状与虚拟场景中位置对应，并进行显示；
步骤3.1.4、边缘检测，用canny算法对冰球的虚拟模型做边缘检测，获取冰球二值图，即冰球的轮廓；
步骤3.1.5、判断，用Hough算法找虚拟冰球位，确定第一虚拟冰球302内是否有冰球的虚拟模型出现，标识为01的第一虚拟冰球302内出现冰球的虚拟模型则记为“01”，标识为02的第一虚拟冰球302内出现冰球的虚拟模型则记为“02”；
步骤3.1.6、计分，“01”和“02”中任意一个出现一次则上一次训练的总分数加1，且更新为此次训练的总分数；
3.2、选择两点交叉拨球，具体判断方法包括如下步骤：
步骤3.2.1、设置规则，根据两点交叉拨球的设置规则在虚拟场景中设置两个第二虚拟冰球303，并添加对应的虚拟冰球标识03和04，如图3所示，两个第二虚拟冰球303中标识为03的第二虚拟冰球303显示，标识为04的第二虚拟冰球303隐藏；
步骤3.2.2、采集图像信息，摄像头采集含有冰球图像的图像信息，并传送给智能显示装置；
步骤3.2.3、解析转换图像信息，在智能显示装置中对图像信息进行解析转换，用HSV和RGB色彩范围选择橘红色的像素，滤掉其它颜色，形成冰球的虚拟模型，添加到虚拟场景中，通过摄像头采集捕捉冰球的形状，通过实际的冰球的形状与虚拟场景中位置对应，并进行显示；
步骤3.2.4、边缘检测，用canny算法对冰球的虚拟模型做边缘检测， 获取冰球二值图，即冰球的轮廓；
步骤3.2.5、一次判断计分，用Hough算法找虚拟冰球位，确定标识为03的第二虚拟冰球303内是否有冰球的虚拟模型出现，出现则记为“03”，上一次训练的总分数加1，且更新为此次训练的总分数；
步骤3.2.6、二次判断计分，标识为03的第二虚拟冰球303内有冰球的虚拟模型出现后，标识为03的第二虚拟冰球303隐藏，标识为04的第二虚拟冰球303的显示，然后重复上述的步骤3.2.3-步骤3.2.5，确定标识为04的第二虚拟冰球303内是否有冰球的虚拟模型出现，出现则记为“04”，上一次训练的总分数则加1，且更新为此次训练的总分数；
步骤3.2.7、重复步骤3.2.6实现多次判断计分，标识为03和04的两个第二虚拟冰球303交替显示，直至训练结束；
3.3、选择随机拨球，具体判断方法包括如下步骤：
步骤3.3.1、设置规则，根据随机拨球的设置规则在虚拟场景中随机出现一个虚拟冰球；
步骤3.3.2、采集图像信息，摄像头采集含有冰球图像的图像信息，并传送给智能显示装置；
步骤3.3.3、解析转换图像信息，在智能显示装置中对图像信息进行解析转换，用HSV和RGB色彩范围选择橘红色的像素，滤掉其它颜色，形成冰球的虚拟模型，添加到虚拟场景中，通过摄像头采集捕捉冰球的形状，通过实际的冰球的形状与虚拟场景中位置对应，并进行显示；
步骤3.3.4、边缘检测，用canny算法对冰球的虚拟模型做边缘检测，获取冰球二值图，即冰球的轮廓；
步骤3.3.5、判断，用Hough算法找虚拟冰球位，确定虚拟冰球内是否有冰球的虚拟模型出现，出现则记为“00”；
步骤3.3.6、计分，“00”出现一次则上一次训练的总分数则加1，且更新为此次训练的总分数；
3.4、选择横向两点障碍拨球，具体判断方法包括如下步骤：
步骤3.4.1、设置规则，根据横向两点障碍拨球的设置规则在虚拟场景中设置四个区域，分别为第一区域306、第二区域307、第三区域308以及第四区域309，并添加对应的标识1、2、3、4，如图4所示；
步骤3.4.2、采集图像信息，摄像头采集含有冰球图像的图像信息，并传送给智能显示装置；
步骤3.4.3、解析转换图像信息，在智能显示装置中对图像信息进行解析转换，用HSV和RGB色彩范围选择橘红色的像素，滤掉其它颜色，形成冰球的虚拟模型，添加到虚拟场景中，并进行显示，随着冰球运行，冰球的虚拟模型也随之在虚拟场景中运行；
步骤3.4.4、形成运行轨迹，随着冰球的虚拟模型的运行，按顺序记录冰球的虚拟模型经过的区域的标识，形成运行轨迹；
步骤3.4.5、对比，将运行轨迹与判断规则中的区域标识顺序进行对比；
步骤3.4.6、判断计分，运行轨迹中出现一条与判断规则中的区域标识顺序相一致的轨迹时，上一次训练的总分数则加1，且更新为此次训练的总分数，同时运行轨迹开始重新记录，并进入步骤3.4.5，直至训练完成；
3.5、选择纵向两点障碍拨球，具体判断方法包括如下步骤：
步骤3.5.1、设置规则，根据纵向两点障碍拨球的设置规则在虚拟场景中设置四个区域，分别为第五区域311、第六区域312、第七区域313以及第八区域314，并添加对应的标识5、6、7、8，如图5所示；
步骤3.5.2、采集图像信息，摄像头采集含有冰球图像的图像信息，并传送给智能显示装置；
步骤3.5.3、解析转换图像信息，在智能显示装置中对图像信息进行解析转换，用HSV和RGB色彩范围选择橘红色的像素，滤掉其它颜色，形成冰球的虚拟模型，添加到虚拟场景中，并进行显示，随着冰球运行，冰球的虚拟模型也随之在虚拟场景中运行；
步骤3.5.4、形成运动轨迹，随着冰球的虚拟模型的运行，按顺序记录冰球的虚拟模型经过的区域的标识，形成运行轨迹；
步骤3.5.5、对比，将运行轨迹与判断规则中的区域标识顺序进行对比；
步骤3.5.6、判断计分，运行轨迹中出现一条与判断规则中的区域标识顺序相一致的轨迹时，上一次训练的总分数则加1，且更新为此次训练的总分数，同时运行轨迹开始重新记录，并进入步骤3.5.5，直至训练完成；
3.6、选择四点障碍拨球，具体判断方法包括如下步骤：
步骤3.6.1、设置规则，根据四点障碍拨球的设置规则在虚拟场景中设 置七个区域，分别为第九区域316、第十区域317、第十一区域318、第十二区域319、第十三区域320、第十四区域321以及第十五区域322，并添加对应的标识9、10、11、12、13、14、15，如图6所示；
步骤3.6.2、采集图像信息，摄像头采集含有冰球图像的图像信息，并传送给智能显示装置；
步骤3.6.3、解析转换图像信息，在智能显示装置中对图像信息进行解析转换，用HSV和RGB色彩范围选择橘红色的像素，滤掉其它颜色，形成冰球的虚拟模型，添加到虚拟场景中，并进行显示，随着冰球运行，冰球的虚拟模型也随之在虚拟场景中运行；
步骤3.6.4、形成运动轨迹，随着冰球的虚拟模型的运行，按顺序记录冰球的虚拟模型经过的区域的标识，形成运行轨迹；
步骤3.6.5、对比，将运行轨迹与判断规则中的区域标识顺序进行对比；
步骤3.6.6、判断计分，运行轨迹中出现一条与判断规则中的区域标识顺序相一致的轨迹时，上一次训练的总分数则加1，且更新为此次训练的总分数，同时运行轨迹开始重新记录，并进入步骤3.6.5，直至训练完成；
步骤4、选择切换模式或关闭应用软件，模式名称和此次训练的总分数结合形成本地历史记录存储于本地数据库中。
本实施方式中也可以选择拨球板作为训练场地，通过调整摄像头的高度或者摄像头的焦距使得摄像头的照射到的拨球板与虚拟场景对应。
以上所述仅是本发明的优选方式，应当指出，对于本领域普通技术人员来说，在不脱离本发明创造构思的前提下，还可以做出若干相似的变形和改进，这些也应视为本发明的保护范围之内。

Claims (10)

  1. 一种应用于冰球传控训练具有动作捕捉功能的系统，其特征在于，包括运行部(203)、检测部(202)以及显示部(201)，检测部(202)和显示部(201)通信连接，
    运行部(203)为具有识别特征的球类器材，运行部(203)与检测部(202)对应设置；
    检测部(202)用于检测运行部，并捕捉运行部的动作，形成检测信号传输给显示部(201)；
    显示部(201)用于存储虚拟场景，接受检测信号，将检测信号中的部分显示于虚拟场景中进行显示。
  2. 根据权利要求1所述的应用于冰球传控训练具有动作捕捉功能的系统，其特征在于，所述显示部(201)与服务器(1)通信连接。
  3. 根据权利要求1所述的应用于冰球传控训练具有动作捕捉功能的系统，其特征在于，所述检测信号中含有运行部图像的图像信号，显示部(201)用于将运行部图像对应的虚拟模型添加到虚拟场景中。
  4. 根据权利要求1所述的应用于冰球传控训练具有动作捕捉功能的系统，其特征在于，所述显示部(201)中存储有判断规则和模式名称，模式名称与判断规则对应设置，并根据判断规则进行判断。
  5. 根据权利要求4所述的应用于冰球传控训练具有动作捕捉功能的系统，其特征在于，所述判断规则中包括定点判断规则，定点判断规则中包括虚拟冰球设置规则、虚拟冰球标识、虚拟冰球标识顺序以及分数。
  6. 根据权利要求5所述的应用于冰球传控训练具有动作捕捉功能的系统，其特征在于，定点判断的方法包括如下步骤：
    根据定点判断规则中的虚拟冰球设置规则在虚拟场景中设置虚拟冰 球，并添加对应的虚拟冰球标识；
    做边缘检测，获取运行部二值图；
    找虚拟冰球位，判断虚拟冰球内是否有运行部图像出现，；
    获取运行部出现在虚拟冰球的顺序，并根据虚拟冰球标识形成当前虚拟冰球标识顺序；
    将当前虚拟冰球标识顺序与判断规则中的虚拟冰球标识顺序进行对比判断。
  7. 根据权利要求4所述的应用于冰球传控训练具有动作捕捉功能的系统，其特征在于，所述判断规则中包括轨迹判断规则，定点判断规则中包括区域划分规则、区域标识、区域标识顺序以及分数。
  8. 根据权利要求7所述的应用于冰球传控训练具有动作捕捉功能的系统，其特征在于，轨迹判断的方法包括如下步骤：
    根据轨迹判断规则中区域划分规则和区域标识将虚拟场景划分为多个区域，并添加区域标识；
    获取运行部图像出现在对应区域的顺序，并根据区域标识形成当前区域标识顺序；
    将当前区域标识顺序与判断规则中的区域标识顺序进行对比判断。
  9. 将权利要求1-8中任一项所述的应用于冰球传控训练具有动作捕捉功能的系统应用于冰球训练，形成冰球训练系统，其特征在于，包括冰球、冰球杆、图像采集装置以及显示装置，图像采集装置与显示装置通信连接，
    所述冰球上设有识别特征，作为运行部(203)；
    所述图像采集装置作为检测部(202)，图像采集装置照射区域与虚拟场景对应，用于检测冰球，捕捉冰球的动作，形成含有冰球图像的图像信号；
    所述显示装置作为显示部(201)，显示装置用于存储判断规则和虚拟场景，接收图像信号，获取冰球图像在照射区域的位置信息，根据位置信息将冰球图像添加到虚拟场景中并进行显示，同时根据冰球图像在虚拟场 景中的位置和判断规则进行判断。
  10. 根据权利要求9所述的冰球训练系统，其特征在于，所述识别特征包括颜色、形状以及图案中的一个或多个。
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