CN111797812A - Method, system, terminal and medium for automatically recording effective goal in football match - Google Patents
Method, system, terminal and medium for automatically recording effective goal in football match Download PDFInfo
- Publication number
- CN111797812A CN111797812A CN202010699349.4A CN202010699349A CN111797812A CN 111797812 A CN111797812 A CN 111797812A CN 202010699349 A CN202010699349 A CN 202010699349A CN 111797812 A CN111797812 A CN 111797812A
- Authority
- CN
- China
- Prior art keywords
- football
- goal
- ball
- match
- effective
- 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.)
- Pending
Links
Images
Classifications
-
- 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
-
- 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
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/04—Architecture, e.g. interconnection topology
- G06N3/045—Combinations of networks
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/20—Analysis of motion
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/70—Determining position or orientation of objects or cameras
-
- G—PHYSICS
- 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
- 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
- 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
- A63B2071/0691—Maps, e.g. yardage maps or electronic maps
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/20—Special algorithmic details
- G06T2207/20081—Training; Learning
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/20—Special algorithmic details
- G06T2207/20084—Artificial neural networks [ANN]
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/30—Subject of image; Context of image processing
- G06T2207/30241—Trajectory
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V2201/00—Indexing scheme relating to image or video recognition or understanding
- G06V2201/07—Target detection
Abstract
The invention provides a method, a system, a terminal and a medium for automatically recording effective goals in a football match, wherein the method comprises the following steps: acquiring a football motion track video of a football in a football match; identifying whether the football enters the net; judging whether the football returns to the center point of the court or not; comparing the staying time of the football in the center point of the court with a set time threshold; if the time is more than or equal to the set time threshold, the goal is judged to be effective; if the time is less than the set time threshold, determining that the goal is invalid; if the goal is valid, the color of the ball cover of the ball serving team at the center point of the court is identified, 1 point is automatically added to the existing score of the team of the ball cover with the other color, and the existing score of the team serving the ball is kept unchanged. The method realizes that whether the goal of the football is an effective goal or not is automatically judged by tracking the track of the football according to the football match rules, the match score is automatically recorded, the score is recorded instead of being manually input, and the labor cost can be reduced.
Description
Technical Field
The invention relates to the technical field of computer vision, in particular to a method, a system, a terminal and a medium for automatically recording effective goals in a football match.
Background
With the popularization and application of AI and machine learning in the computer vision industry, tracking of soccer and people has been achieved through algorithms in soccer sporting events, replacing the movement of shots by hand, completing the process of shooting and recording soccer matches.
In a soccer game, a camera or other electronic equipment is placed near a goal to determine whether or not a soccer ball crosses the goal line, but it cannot be determined whether or not the soccer ball is a valid goal, and in some cases, a soccer ball is not hit in the goal, but the soccer ball is determined as a invalid goal due to a foul or offside before the goal is entered. Usually, whether the goal is valid or not is finally determined and recorded by the referee. When the referee judges that the goal is valid, the director (or background personnel) records the score into a background system and presents the score to the audience in a rebroadcasting picture; in the case of amateur events, the live scores may not be presented even during the live broadcast, but only the scores of the final parties are recorded after the events by acquiring the records of the referees. In the above-mentioned flow system, after the referee has finished effectively judging the goal, the entry and presentation of the score must be finished manually, and the automatic recording of the score cannot be realized.
In the process of live broadcasting or rebroadcasting of the football game at the present stage, the football game video is watched by people in the whole process, whether goal is achieved or not is judged manually in the watching process, the accuracy rate of judgment by using the method is highest, but the method has the advantages of low working efficiency and high time cost, and especially dozens to hundreds of goals exist in each level of football game every day, so that goal in all videos cannot be screened manually.
Disclosure of Invention
Aiming at the defects in the prior art, the invention provides a method, a system, a terminal and a medium for automatically recording effective goals in a football match.
In a first aspect, an embodiment of the present invention provides a method for automatically recording an effective goal in a soccer game, including the following steps:
acquiring a football motion track video of a football in a football match;
identifying whether the football enters the net;
judging whether the football returns to the center point of the court or not;
comparing the staying time of the football in the center point of the court with a set time threshold;
if the time is more than or equal to the set time threshold, the goal is judged to be effective;
if the time is less than the set time threshold, determining that the goal is invalid;
if the goal is valid, the color of the ball cover of the ball serving team at the center point of the court is identified, 1 point is automatically added to the existing score of the team of the ball cover with the other color, and the existing score of the team serving the ball is kept unchanged.
In a second aspect, the present invention provides an effective goal system for automatically recording a soccer match, including: a video acquisition module, an effective ball judgment module and an automatic score recording module, wherein,
the video acquisition module is used for acquiring a motion track video of a football in a football match;
the effective ball judging module is used for identifying whether the football enters a net or not;
judging whether the football returns to the center point of the court or not;
comparing the staying time of the football in the center point of the court with a set time threshold;
if the time is more than or equal to the set time threshold, the goal is judged to be effective;
if the time is less than the set time threshold, determining that the goal is invalid;
the score automatic recording module is used for acquiring the color of the ball cover of the ball service player at the center point of the court when the goal is judged to be effective, automatically adding 1 score to the existing score of the ball team of the ball cover with the other color, and keeping the existing score of the ball team serving the ball unchanged.
In a third aspect, an intelligent terminal provided in an embodiment of the present invention includes a processor, an input device, an output device, and a memory, where the processor, the input device, the output device, and the memory are connected to each other, the memory is used to store a computer program, the computer program includes program instructions, and the processor is configured to call the program instructions to execute the method steps described in the foregoing embodiment.
In a fourth aspect, an embodiment of the present invention provides a computer-readable storage medium, in which a computer program is stored, the computer program comprising program instructions, which, when executed by a processor, cause the processor to perform the method steps described in the above embodiments.
The invention has the beneficial effects that:
the method, the system, the terminal and the medium for automatically recording the effective goal in the football match, provided by the embodiment of the invention, realize that whether the goal of the football is the effective goal or not is automatically judged by tracking the track of the football according to the football match rules, the match score is automatically recorded, the manual input of the score is replaced, and the labor cost can be reduced.
Drawings
In order to more clearly illustrate the detailed description of the invention or the technical solutions in the prior art, the drawings that are needed in the detailed description of the invention or the prior art will be briefly described below. Throughout the drawings, like elements or portions are generally identified by like reference numerals. In the drawings, elements or portions are not necessarily drawn to scale.
Fig. 1 is a flow chart illustrating a method for automatically recording an effective goal in a soccer game according to a first embodiment of the present invention;
fig. 2 is a schematic structural diagram illustrating an effective goal system for automatically recording a soccer game according to another embodiment of the present invention;
fig. 3 shows a schematic structural diagram of an intelligent terminal according to another embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, not all, embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
It will be understood that the terms "comprises" and/or "comprising," when used in this specification and the appended claims, specify the presence of stated features, integers, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and/or groups thereof.
It is also to be understood that the terminology used in the description of the invention herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. As used in the specification of the present invention and the appended claims, the singular forms "a," "an," and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise.
It should be further understood that the term "and/or" as used in this specification and the appended claims refers to and includes any and all possible combinations of one or more of the associated listed items.
As used in this specification and the appended claims, the term "if" may be interpreted contextually as "when", "upon" or "in response to a determination" or "in response to a detection". Similarly, the phrase "if it is determined" or "if a [ described condition or event ] is detected" may be interpreted contextually to mean "upon determining" or "in response to determining" or "upon detecting [ described condition or event ]" or "in response to detecting [ described condition or event ]".
It is to be noted that, unless otherwise specified, technical or scientific terms used herein shall have the ordinary meaning as understood by those skilled in the art to which the invention pertains.
Fig. 1 shows a flowchart of a method for automatically recording an effective goal in a soccer game according to a first embodiment of the present invention, the method comprising the steps of:
s101, obtaining a motion track video of a football in a football match.
S102, whether the football enters the net is identified.
And S103, judging whether the football returns to the center point of the court.
And S104, comparing the staying time of the football in the center point of the court with a set time threshold.
And S105, if the time is more than or equal to the set time threshold, determining that the goal is valid.
And S106, if the time is less than the set time threshold, determining that the goal is invalid.
And S107, if the goal is valid, identifying the color of the ball cover of the ball serving team at the center point of the court, automatically adding 1 point to the existing score of the team of the ball cover with the other color, and keeping the existing score of the team serving the ball unchanged.
In a specific implementation process, the steps of the method are not necessarily executed according to the fixed sequence, and the corresponding steps are triggered and executed according to the identification detection result of each event. The video mode of the motion trail of the football in the football match can be acquired by adopting camera devices such as a panoramic camera, a common camera and a video camera to acquire the video of the football match, and the video mode of the match which is shot well can be received and acquired by other modes, so that the motion trail video mode of the football in the football match is not limited in the embodiment. The motion track of the football is tracked through the video, whether the football enters the net or not is identified from the video data, if the football enters the net, the goal is possible to be a valid goal, and the goal is possible to be an invalid goal. Further, whether the football returns to the center point of the court is judged, and if the football does not return to the center of the court, the goal is invalid; if the player returns to the center of the court, the player may have a valid goal or a null goal. And further judging, and comparing the staying time of the football in the center point of the court with a set time threshold. If the staying time of the football in the center point of the court is more than or equal to the set time threshold value, the goal is judged to be effective, and if the staying time of the football in the center point of the court is less than the set time threshold value, the goal is judged to be ineffective. When the judge judges that the goal is effective, all players are in the half of the team's own local according to the football match rules except the ball service team; the football must be fixed at the center of the court; the opponent must be away from the ball by a certain distance, and the ball is kicked and obviously moves, namely, the ball is driven. After the goal is judged to be effective, the color of the ball cover of the ball serving team at the center point of the court is identified, 1 point is automatically added to the current score of the team of the ball cover with the other color, and the current score of the team serving the ball is kept unchanged. Through the steps S101-S107, whether the goal of the football is an effective goal or not is automatically judged through tracking the track of the football according to the football match rules, the match score is automatically recorded, the manual input score is replaced, and the labor cost can be reduced.
In this embodiment, the specific method for identifying the entrance of the soccer ball into the net includes: detecting the position information of a football in each frame of picture of a video clip of a football entering a net by adopting a pre-constructed football detection model, wherein the football detection model is obtained by taking each picture in a football match picture training set as input, taking a marked football in a corresponding picture as a target and training by adopting a target detection algorithm based on a convolutional neural network; and judging whether the football is intersected with the bottom line below the goal or not according to the detected position information of the football, wherein the intersection comprises the intersection of a solid line and a dotted line, if not, the goal is not reached, and if so, the goal is reached. Whether the football is scored or not can be preliminarily judged by automatically judging whether the football enters the net, and whether the scoring is effective or not needs to be further judged by combining the following method.
If the goal is a valid goal, the football player will return to the center of the court to start the football again, and the speed of the football player will be reduced, so after the step of judging whether the football returns to the center point of the court and before the step of comparing the staying time of the football at the center point of the court with the set time threshold value, the method also comprises S100: whether the movement speed of the player is reduced or not is detected. The method further judges whether the judge judges the goal as the effective goal or not by detecting the movement speed of the player, and improves the accuracy of judging the effective goal.
In this embodiment, the method further includes: and (4) constructing a football detection model in advance. Specifically, the method for constructing the football detection model in advance specifically includes:
acquiring a football match picture training set; marking a target detection frame for the football in each picture in the football match picture training set; and taking each picture in the football match picture training set as input, taking the football marked in the corresponding picture as a target, and training by adopting a target detection algorithm based on a convolutional neural network to obtain the football detection model. The target detection algorithm based on the convolutional neural network adopts a Yolov3 target detection algorithm. The present embodiment employs the YOLOv3 target detection algorithm. The Yolov3 target detection algorithm is a one-stage system target detection algorithm, has a high processing speed, and can improve the target detection efficiency.
The specific method for acquiring the football game picture training set comprises the following steps:
acquiring a plurality of pictures of the football match; deleting the pictures of the non-game segments from the obtained pictures of the football game to obtain filtered pictures; and preprocessing the filtered pictures to obtain a football game picture training set.
Specifically, obtaining a plurality of pictures of the football game can extract video frames from a plurality of football game videos; and storing the extracted video frames as the pictures of the football match. Obtain the picture of football match, still include: crawling pictures related to the football match through a web crawler. The pictures of the non-competition segments can be deleted manually, or can be automatically filtered by setting filtering conditions. The pictures of the non-match segments are more or less generated in the pictures of the football match, the pictures of the non-match segments are deleted from the obtained pictures of the football match, the pictures which do not contribute much to the detection result can be removed, the noise is reduced, and the automatic detection efficiency is further improved. Optionally, the filtered picture is preprocessed, and the preprocessing method includes one or more of the following processing modes: subtract mean, resize, picture flip, crop, and color jittering.
The method for automatically recording the effective goal in the football match, provided by the embodiment of the invention, realizes the automatic judgment of whether the goal of the football is the effective goal or not through the tracking of the football track according to the football match rules, automatically records the match score, replaces the manual input of the score, and can reduce the labor cost.
In the first embodiment described above, a method for automatically recording effective goals in a football match is provided, and correspondingly, the present application also provides a system for automatically recording effective goals in a football match. Please refer to fig. 2, which is a schematic diagram illustrating a system for automatically recording an effective goal in a soccer game according to a second embodiment of the present invention. Since the apparatus embodiments are substantially similar to the method embodiments, they are described in a relatively simple manner, and reference may be made to some of the descriptions of the method embodiments for relevant points. The device embodiments described below are merely illustrative.
As shown in fig. 2, there is a schematic structural diagram illustrating a system for automatically recording an effective goal in a soccer game according to another embodiment of the present invention, the system comprising: a video acquisition module 201, a valid ball judgment module 202 and a score automatic recording module 203, wherein:
the video obtaining module 201 is configured to obtain a motion trajectory video of a football in a football match.
The valid ball judging module 202 is used for identifying whether the football enters the net; after the football enters the net, judging whether the football returns to the center point of the court; judging whether the staying time of the football in the center point of the court is greater than a set time threshold value or not; if the time is more than or equal to the set time threshold, the goal is judged to be effective; if the time is less than the set time threshold, the goal is judged to be invalid.
The specific method for identifying the entrance of the football into the net comprises the following steps: detecting the position information of a football in each frame of picture of a video clip of a football entering a net by adopting a pre-constructed football detection model, wherein the football detection model is obtained by taking each picture in a football match picture training set as input, taking a marked football in a corresponding picture as a target and training by adopting a target detection algorithm based on a convolutional neural network; and judging whether the football is intersected with the bottom line below the goal or not according to the detected position information of the football, wherein the intersection comprises the intersection of a solid line and a dotted line, if not, the goal is not reached, and if so, the goal is reached. Whether the football is scored or not can be preliminarily judged by automatically judging whether the football enters the net, and whether the scoring is effective or not needs to be further judged by combining the following method.
If the goal is effective, the football player will return to the center of the court to start the football again, and the speed of the football player will be reduced, so that after the step of judging whether the football returns to the center point of the court, and before the step of comparing the staying time of the football at the center point of the court with the set time threshold value, whether the movement speed of the football player is reduced is detected. The method further judges whether the judge judges the goal as the effective goal or not by detecting the movement speed of the player, and improves the accuracy of judging the effective goal.
The system also comprises a football detection model building module, wherein the football detection model building module is used for acquiring a football match picture training set; marking a target detection frame for the football in each picture in the football match picture training set; and taking each picture in the football match picture training set as input, taking the football marked in the corresponding picture as a target, and training by adopting a target detection algorithm based on a convolutional neural network to obtain the football detection model.
The specific method for acquiring the football game picture training set comprises the following steps:
acquiring a plurality of pictures of the football match; deleting the pictures of the non-game segments from the obtained pictures of the football game to obtain filtered pictures; and preprocessing the filtered pictures to obtain a football game picture training set.
Specifically, obtaining a plurality of pictures of the football game can extract video frames from a plurality of football game videos; and storing the extracted video frames as the pictures of the football match. Obtain the picture of football match, still include: crawling pictures related to the football match through a web crawler. The pictures of the non-competition segments can be deleted manually, or can be automatically filtered by setting filtering conditions. The pictures of the non-match segments are more or less generated in the pictures of the football match, the pictures of the non-match segments are deleted from the obtained pictures of the football match, the pictures which do not contribute much to the detection result can be removed, the noise is reduced, and the automatic detection efficiency is further improved. Optionally, the filtered picture is preprocessed, and the preprocessing method includes one or more of the following processing modes: subtract mean, resize, picture flip, crop, and color jittering.
The score automatic recording module 203 is used for acquiring the color of the ball cover of the ball service player at the center point of the court when the goal is judged to be effective, automatically adding 1 score to the existing score of the ball team of the ball cover with the other color, and keeping the existing score of the ball service team unchanged.
The system for automatically recording the effective goal in the football match, provided by the embodiment of the invention, can automatically judge whether the goal of the football is the effective goal or not by tracking the track of the football according to the football match rules, automatically record the match score, replace manual entry of the score, and reduce the labor cost.
As shown in fig. 3, a schematic structural diagram of an intelligent terminal according to another embodiment of the present invention is shown, the terminal includes a processor 301, an input device 302, an output device 303, and a memory 304, the processor 301, the input device 302, the output device 303, and the memory 304 are connected to each other, the memory 304 is used for storing a computer program, the computer program includes program instructions, and the processor 301 is configured to call the program instructions to execute the method described in the foregoing embodiment.
It should be understood that, in the embodiment of the present invention, the Processor 301 may be a Central Processing Unit (CPU), and the Processor may also be other general processors, Digital Signal Processors (DSPs), Application Specific Integrated Circuits (ASICs), Field-Programmable Gate arrays (FPGAs) or other Programmable logic devices, discrete Gate or transistor logic devices, discrete hardware components, and the like. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
The input device 302 may include a touch pad, a microphone, etc., and the output device 303 may include a display (LCD, etc.), a speaker, etc.
The memory 304 may include a read-only memory and a random access memory, and provides instructions and data to the processor 301. A portion of the memory 304 may also include non-volatile random access memory. For example, the memory 304 may also store device type information.
In a specific implementation, the processor 301, the input device 302, and the output device 303 described in this embodiment of the present invention may execute the implementation described in the method embodiment provided in this embodiment of the present invention, and may also execute the implementation described in the system embodiment described in this embodiment of the present invention, which is not described herein again.
The invention also provides an embodiment of a computer-readable storage medium, in which a computer program is stored, which computer program comprises program instructions that, when executed by a processor, cause the processor to carry out the method described in the above embodiment.
The computer readable storage medium may be an internal storage unit of the terminal described in the foregoing embodiment, for example, a hard disk or a memory of the terminal. The computer readable storage medium may also be an external storage device of the terminal, such as a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), and the like provided on the terminal. Further, the computer-readable storage medium may also include both an internal storage unit and an external storage device of the terminal. The computer-readable storage medium is used for storing the computer program and other programs and data required by the terminal. The computer readable storage medium may also be used to temporarily store data that has been output or is to be output.
Those of ordinary skill in the art will appreciate that the elements and algorithm steps of the examples described in connection with the embodiments disclosed herein may be embodied in electronic hardware, computer software, or combinations of both, and that the components and steps of the examples have been described in a functional general in the foregoing description for the purpose of illustrating clearly the interchangeability of hardware and software. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.
It can be clearly understood by those skilled in the art that, for convenience and brevity of description, the specific working processes of the terminal and the unit described above may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
In the several embodiments provided in the present application, it should be understood that the disclosed terminal and method can be implemented in other manners. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the units is only one logical division, and other divisions may be realized in practice, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may also be an electric, mechanical or other form of connection.
Finally, it should be noted that: the above embodiments are only used to illustrate the technical solution of the present invention, and not to limit the same; while the invention has been described in detail and with reference to the foregoing embodiments, it will be understood by those skilled in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some or all of the technical features may be equivalently replaced; such modifications and substitutions do not depart from the spirit and scope of the present invention, and they should be construed as being included in the following claims and description.
Claims (10)
1. A method of automatically recording the effective goal in a soccer match, comprising the steps of:
acquiring a football motion track video of a football in a football match;
identifying whether the football enters the net;
judging whether the football returns to the center point of the court or not;
comparing the staying time of the football in the center point of the court with a set time threshold;
if the time is more than or equal to the set time threshold, the goal is judged to be effective;
if the time is less than the set time threshold, determining that the goal is invalid;
if the goal is valid, the color of the ball cover of the ball serving team at the center point of the court is identified, 1 point is automatically added to the existing score of the team of the ball cover with the other color, and the existing score of the team serving the ball is kept unchanged.
2. The method of automatically recording valid goals in a soccer game as recited in claim 1, further comprising, after the step of determining whether the soccer ball is back at the center point of the field and before the step of comparing the time the soccer ball remains at the center point of the field with the set time threshold: whether the movement speed of the player is reduced or not is detected.
3. The method of automatically recording the effective goal in a soccer game according to claim 1, wherein the step of obtaining a video of the trajectory of the soccer ball in the soccer game further comprises: a method of pre-building a football detection model.
4. A method of automatically registering valid goals in a soccer match as recited in claim 3, wherein said identifying a soccer ball entering the net comprises:
detecting the position information of a football in each frame of picture of a video clip of a football entering a net by adopting a pre-constructed football detection model, wherein the football detection model is obtained by taking each picture in a football match picture training set as input, taking a marked football in a corresponding picture as a target and training by adopting a target detection algorithm based on a convolutional neural network;
and judging whether the football is intersected with the bottom line below the goal or not according to the detected position information of the football, wherein the intersection comprises the intersection of a solid line and a dotted line, if not, the goal is not reached, and if so, the goal is reached.
5. A method of automatically recording valid goals in a football match as claimed in claim 3, wherein said method of pre-building a football detection model specifically comprises:
acquiring a football match picture training set;
marking a target detection frame for the football in each picture in the football match picture training set;
and taking each picture in the football match picture training set as input, taking the football marked in the corresponding picture as a target, and training by adopting a target detection algorithm based on a convolutional neural network to obtain the football detection model.
6. The method for automatically recording the effective goal in the football match as claimed in claim 5, wherein the specific method for obtaining the picture training set of the football match comprises:
acquiring a plurality of pictures of the football match;
deleting the pictures of the non-game segments from the obtained pictures of the football game to obtain filtered pictures;
and preprocessing the filtered pictures to obtain a football game picture training set.
7. The method of automatically recording valid goals in a soccer game as recited in claim 5, wherein said convolutional neural network based object detection algorithm employs the YOLOv3 object detection algorithm.
8. A system for automatically recording the effective goal in a soccer match, comprising: a video acquisition module, an effective ball judgment module and an automatic score recording module, wherein,
the video acquisition module is used for acquiring a motion track video of a football in a football match;
the effective ball judging module is used for identifying whether the football enters a net or not;
judging whether the football returns to the center point of the court or not;
comparing the staying time of the football in the center point of the court with a set time threshold;
if the time is more than or equal to the set time threshold, the goal is judged to be effective;
if the time is less than the set time threshold, determining that the goal is invalid;
the score automatic recording module is used for acquiring the color of the ball cover of the ball service player at the center point of the court when the goal is judged to be effective, automatically adding 1 score to the existing score of the ball team of the ball cover with the other color, and keeping the existing score of the ball team serving the ball unchanged.
9. An intelligent terminal comprising a processor, an input device, an output device and a memory, the processor, the input device, the output device and the memory being interconnected, the memory being adapted to store a computer program, the computer program comprising program instructions, characterized in that the processor is configured to invoke the program instructions to perform the method according to any of claims 1-7.
10. A computer-readable storage medium, characterized in that the computer storage medium stores a computer program comprising program instructions that, when executed by a processor, cause the processor to perform the method according to any of claims 1-7.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010699349.4A CN111797812A (en) | 2020-07-20 | 2020-07-20 | Method, system, terminal and medium for automatically recording effective goal in football match |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010699349.4A CN111797812A (en) | 2020-07-20 | 2020-07-20 | Method, system, terminal and medium for automatically recording effective goal in football match |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN111797812A true CN111797812A (en) | 2020-10-20 |
Family
ID=72808051
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202010699349.4A Pending CN111797812A (en) | 2020-07-20 | 2020-07-20 | Method, system, terminal and medium for automatically recording effective goal in football match |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN111797812A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113780181A (en) * | 2021-09-13 | 2021-12-10 | 浙江大学 | Football match offside judgment method and device based on unmanned aerial vehicle and electronic equipment |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101116777A (en) * | 2006-07-31 | 2008-02-06 | 李岩 | Football electronic judgement |
| JP2010269099A (en) * | 2009-05-19 | 2010-12-02 | Kouji Nakane | Score sheet for futsal, score book, and input browsing system thereof |
| CN106991358A (en) * | 2016-01-20 | 2017-07-28 | 上海慧体网络科技有限公司 | The algorithm that automatic identification football match based on panoramic video is scored |
| CN109165253A (en) * | 2018-08-15 | 2019-01-08 | 宁夏大学 | A kind of method and apparatus of Basketball Tactical auxiliary |
| CN110472562A (en) * | 2019-08-13 | 2019-11-19 | 新华智云科技有限公司 | Position ball video clip detection method, device, system and storage medium |
-
2020
- 2020-07-20 CN CN202010699349.4A patent/CN111797812A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101116777A (en) * | 2006-07-31 | 2008-02-06 | 李岩 | Football electronic judgement |
| JP2010269099A (en) * | 2009-05-19 | 2010-12-02 | Kouji Nakane | Score sheet for futsal, score book, and input browsing system thereof |
| CN106991358A (en) * | 2016-01-20 | 2017-07-28 | 上海慧体网络科技有限公司 | The algorithm that automatic identification football match based on panoramic video is scored |
| CN109165253A (en) * | 2018-08-15 | 2019-01-08 | 宁夏大学 | A kind of method and apparatus of Basketball Tactical auxiliary |
| CN110472562A (en) * | 2019-08-13 | 2019-11-19 | 新华智云科技有限公司 | Position ball video clip detection method, device, system and storage medium |
Non-Patent Citations (1)
| Title |
|---|
| JFSN0102: "足球比赛规则", 《HTTPS://WWW.DOCIN.COM/P-2284172037.HTML》 * |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113780181A (en) * | 2021-09-13 | 2021-12-10 | 浙江大学 | Football match offside judgment method and device based on unmanned aerial vehicle and electronic equipment |
| CN113780181B (en) * | 2021-09-13 | 2023-11-14 | 浙江大学 | Football match offside judging method and device based on unmanned aerial vehicle and electronic equipment |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US7006945B2 (en) | Processing of video content | |
| US9473748B2 (en) | Video tracking of baseball players to determine the end of a half-inning | |
| CN109040766B (en) | Live video processing method and device and storage medium | |
| Kawashima et al. | Indexing of baseball telecast for content-based video retrieval | |
| US9007463B2 (en) | Video tracking of baseball players which identifies merged participants based on participant roles | |
| EP2850823A1 (en) | System and method for automatic video filming and broadcasting of sports events | |
| US11538243B2 (en) | Video playback method, medium, glasses and program product | |
| US20200311392A1 (en) | Determination of audience attention | |
| CN111797812A (en) | Method, system, terminal and medium for automatically recording effective goal in football match | |
| CN110472561B (en) | Football goal type identification method, device, system and storage medium | |
| CN109460724B (en) | Object detection-based separation method and system for ball-stopping event | |
| Siratanita et al. | A method of football-offside detection using multiple cameras for an automatic linesman assistance system | |
| EP3836012B1 (en) | A device, computer program and method for determining handball performed by a player | |
| US11810352B2 (en) | Operating method of server for providing sports video-based platform service | |
| CN108854031A (en) | The method and relevant apparatus of exercise data are analyzed by unmanned camera work | |
| CN205699280U (en) | Automatically the basketball stands of Highlight are caught | |
| JP2015217122A (en) | Image notification device, imaging device, image notification method, and image notification program | |
| EP3797400B1 (en) | System and method for automatic detection of referee's decisions in a ball-game | |
| US20220270367A1 (en) | Method and device for automatically recognizing sport court and determining in/out on basis of same | |
| US20160212459A1 (en) | Selective Image and Object Enhancement to Aid Viewer Enjoyment of Program | |
| CN110947164A (en) | Door line judging system and method based on high-precision positioning | |
| CN116805432B (en) | Noninductive wisdom footpath running system | |
| JP7420377B2 (en) | How to create a tennis technique improvement support database and a tennis technique improvement support system | |
| US20230230376A1 (en) | Method, computer program, apparatus and system | |
| CN110490064B (en) | Sports video data processing method and device, computer equipment and computer storage medium |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |