CN114722230A - Auxiliary judgment system using angle big data matching - Google Patents
Auxiliary judgment system using angle big data matching Download PDFInfo
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Abstract
The invention relates to an auxiliary judgment system utilizing angle big data matching, which comprises: the database application node is used for storing each finish degree of each angle corresponding to the set jumping circle number of each athlete by adopting a database; the angle identification component is used for calculating the surrounding angle of each single-point curve and removing the maximum value and the minimum value of each surrounding angle corresponding to each received single-point curve to obtain a plurality of residual angle values; and the action identification component is used for analyzing the residual angle value with the largest occurrence frequency in the plurality of residual angle values to be used as an effective angle value and judging the finish degree of the jumping lap number set by the current athlete in the skating match based on the effective angle value. By the method and the device, the corresponding relation between the angle and the completion degree can be stored in the database, and the single-point curve probability at the pixel point level is introduced to help a judge to provide an electronic auxiliary judgment mechanism of the completion degree of the jumping weeks of the skater, so that the judgment error probability is reduced.
Description
Technical Field
The invention relates to the field of database application, in particular to an auxiliary judgment system utilizing angle big data matching.
Background
The database management system is a core component of the database system, mainly completes the operation and management functions of the database, and realizes the creation of database objects, the query, addition, modification and deletion of database storage data, the user management and the authority management of the database, and the like. Its security is directly related to the security of the whole database system. At present, when the sportsman's score judgement of carrying out the skating match, except that sportsman's skating gesture and action continuity can influence final judgement score, sportsman's jump week number and actual completion degree are the more key element that influences the score, however, judge can only carry out manual judgement according to the naked eye at present, can't effectively distinguish the nuance in the completion degree, lead to judging the time division to the sportsman that the level differed a little, influence final judgement trend easily.
Disclosure of Invention
In order to solve the technical problems in the related field, the invention provides an auxiliary judgment system utilizing angle big data matching, which can store each completion degree corresponding to the jumping circle number set by each athlete at each angle by adopting a database, and introduces a single-point curve probability at a pixel point level on the basis to help a judge to provide an electronic auxiliary judgment mechanism of the jumping circle number completion degree of the skating athletes, thereby improving the grading fineness degree of the skating events.
According to an aspect of the present invention, there is provided an aided decision system using angle big data matching, the system including:
the database application node is connected with the action recognition component and used for storing each finish degree of each angle corresponding to the jumping circle number set by each athlete by adopting a database;
the field control button is arranged on a referee seat in the skating game and used for sending a snapshot execution instruction under the odd number pressing of the referee and sending a snapshot pause instruction under the even number pressing of the referee;
the frame-by-frame snapshot mechanism is connected with the field control button and is used for triggering real-time snapshot action on a skating match field when receiving a snapshot execution instruction so as to obtain continuous multi-frame real-time snapshot pictures;
the first enhancement mechanism is connected with the frame-by-frame snapshot mechanism and is used for executing salt and pepper noise elimination operation on each received frame of real-time snapshot picture so as to obtain a corresponding first enhancement picture;
the second enhancement mechanism is connected with the first enhancement mechanism and is used for carrying out edge sharpening operation on each received enhanced picture so as to obtain a corresponding second enhanced picture;
the third enhancement mechanism is connected with the second enhancement mechanism and is used for executing directional blurring operation on the received second enhancement picture to obtain a corresponding third enhancement picture;
the time-sharing acquisition component is connected with the third enhancement mechanism and is used for acquiring a plurality of frames of third enhancement pictures corresponding to the plurality of frames of real-time snapshot pictures respectively, identifying each human body imaging area in each frame of third enhancement picture and outputting the human body imaging area closest to the central position of the third enhancement picture as a detection imaging area;
the curve analysis component is connected with the time-sharing acquisition component and is used for receiving a plurality of detection imaging areas corresponding to a plurality of frames of third enhancement pictures respectively, acquiring a curve formed by each same pixel point in the plurality of detection imaging areas as a single-point curve, and outputting each single-point curve corresponding to each same pixel point in the plurality of detection imaging areas;
the angle identification component is connected with the curve analysis component and used for calculating the surrounding angle of each single-point curve and removing the maximum value and the minimum value of each surrounding angle corresponding to each received single-point curve to obtain a plurality of residual angle values;
and the action identification component is connected with the angle identification component and is used for analyzing the residual angle value with the largest occurrence frequency in the residual angle values to be used as an effective angle value and judging the finish degree of the set jumping turns of the current athlete in the skating match based on the effective angle value.
The three outstanding inventive concepts of the invention are as follows:
firstly, analyzing a multi-frame time-sharing collected image of a current competition person of the skating competition, and forming a single-point curve corresponding to the same pixel point at a plurality of positions in the multi-frame time-sharing collected image aiming at each same pixel point;
secondly, calculating the surrounding angle of each single-point curve, and removing the maximum value and the minimum value of each surrounding angle of each single-point curve corresponding to each received same pixel point to obtain a plurality of residual angle values;
and thirdly, analyzing the residual angle value with the largest occurrence frequency in the plurality of residual angle values to be used as an effective angle value, and judging the finish degree of the jumping lap set by the current athlete in the skating match based on the effective angle value.
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Embodiments of the invention will now be described with reference to the accompanying drawings, in which:
fig. 1 is a schematic structural diagram illustrating an auxiliary decision system using angle big data matching according to an embodiment of the present invention.
Detailed Description
An embodiment of an auxiliary decision system using angle big data matching of the present invention will be described in detail with reference to the accompanying drawings.
The color sampling points of the digitized image are also referred to as pixels. Due to the different types of computer displays, there may be regions of the screen that do not correspond to one another. In areas where this distinction is clear, points in the image file are closer to the texels. In computer programming, an image composed of pixels is called a bitmap or raster image. The term raster stems from analog television technology, and bitmapped images can be used to encode digital imagery and certain types of computer generated art. To put it simply, a pixel is the value of a point of an image, the point being drawn as a line and the line being drawn as a plane. Of course, the sharpness of a picture is not determined only by the pixels.
At present, when the sportsman's score judgement of carrying out the skating match, except that sportsman's skating gesture and action continuity can influence final judgement score, sportsman's jump week number and actual completion degree are the more key element that influences the score, however, judge can only carry out manual judgement according to the naked eye at present, can't effectively distinguish the nuance in the completion degree, lead to judging the time division to the sportsman that the level differed a little, influence final judgement trend easily.
In order to overcome the defects, the invention builds an auxiliary judgment system by utilizing angle big data matching, and can effectively solve the corresponding technical problem.
The three outstanding inventive concepts of the invention are as follows:
firstly, analyzing a multi-frame time-sharing collected image of a current competition person of the skating competition, and forming a single-point curve corresponding to the same pixel point at a plurality of positions in the multi-frame time-sharing collected image aiming at each same pixel point;
secondly, calculating the surrounding angle of each single-point curve, and removing the maximum value and the minimum value of each surrounding angle of each single-point curve corresponding to each received same pixel point to obtain a plurality of residual angle values;
and thirdly, analyzing the residual angle value with the largest occurrence frequency in the plurality of residual angle values to be used as an effective angle value, and judging the finish degree of the jumping lap set by the current athlete in the skating match based on the effective angle value.
Fig. 1 is a schematic structural diagram illustrating an auxiliary decision system using angle big data matching according to an embodiment of the present invention, where the system includes:
the database application node is connected with the action recognition component and used for storing each finish degree of each angle corresponding to the jumping circle number set by each athlete by adopting a database;
the scene control button is arranged on a judge seat of the skating match and used for sending a snapshot execution instruction under the odd number pressing of the judge and sending a snapshot pause instruction under the even number pressing of the judge;
the frame-by-frame snapshot mechanism is connected with the field control button and is used for triggering real-time snapshot action on a skating match field when receiving a snapshot execution instruction so as to obtain continuous multi-frame real-time snapshot pictures;
the first enhancement mechanism is connected with the frame-by-frame snapshot mechanism and is used for executing salt and pepper noise elimination operation on each received frame of real-time snapshot picture so as to obtain a corresponding first enhancement picture;
the second enhancement mechanism is connected with the first enhancement mechanism and is used for carrying out edge sharpening operation on each received enhanced picture so as to obtain a corresponding second enhanced picture;
the third enhancement mechanism is connected with the second enhancement mechanism and is used for executing directional blurring operation on the received second enhancement picture to obtain a corresponding third enhancement picture;
the time-sharing acquisition component is connected with the third enhancement mechanism and is used for obtaining multiple frames of third enhancement pictures corresponding to the multiple frames of real-time snapshot pictures respectively, identifying each human body imaging area in each frame of third enhancement picture and outputting the human body imaging area closest to the central position of the third enhancement picture as a detection imaging area;
the curve analysis component is connected with the time-sharing acquisition component and is used for receiving a plurality of detection imaging areas corresponding to a plurality of frames of third enhancement pictures respectively, acquiring a curve formed by each same pixel point in the plurality of detection imaging areas as a single-point curve and outputting each single-point curve corresponding to each same pixel point in the plurality of detection imaging areas;
the angle identification component is connected with the curve analysis component and used for calculating the surrounding angle of each single-point curve and removing the maximum value and the minimum value of each surrounding angle corresponding to each received single-point curve to obtain a plurality of residual angle values;
and the action identification component is connected with the angle identification component and is used for analyzing the residual angle value with the largest occurrence frequency in the residual angle values to be used as an effective angle value and judging the finish degree of the set jumping turns of the current athlete in the skating match based on the effective angle value.
Next, the detailed structure of the auxiliary decision system using angle big data matching according to the present invention will be further described.
In the auxiliary decision system using angle big data matching, the method further includes:
the voice playing part is arranged on the referee seat of the skating match, is connected with the action recognition part through a Bluetooth communication link and is used for playing the completion degree of the number of jumping circles set by the current athlete of the received skating match in real time.
In the auxiliary decision system using angle big data matching, the method further includes:
and the content transmission part is electrically connected with the action identification part and is used for wirelessly transmitting the received finish degree of jumping turns set by the current athlete of the skating match to a remote match management server through a time division duplex communication mode.
In the auxiliary decision system using angle big data matching:
judging the finishing degree of the jumping circle number set by the current athlete in the skating match based on the effective angle value comprises the following steps: when the number of jumping turns set by the current athlete in the skating game is equal to 4, the closer the effective angle value is to 1440 degrees, the higher the corresponding completion degree is.
In the auxiliary decision system using angle big data matching:
judging the finishing degree of the jumping circle number set by the current athlete in the skating match based on the effective angle value comprises the following steps: when the number of jumping turns set by the current athlete in the skating game is equal to 4, the closer the effective angle value is to 1080 degrees, the higher the corresponding finish degree is.
In the auxiliary decision system using angle big data matching:
receiving a plurality of detection imaging areas corresponding to a plurality of frames of third enhancement pictures respectively, acquiring a curve formed by each same pixel point in the plurality of detection imaging areas as a single-point curve, and outputting each single-point curve corresponding to each same pixel point in the plurality of detection imaging areas respectively comprises: and according to each same pixel point, respectively connecting the head and the tail of a plurality of positions in a plurality of detection imaging areas to form a curve and using the curve as a single-point curve.
In the auxiliary decision system using angle big data matching:
when receiving a snapshot execution instruction, triggering a real-time snapshot action on a skating match field to obtain continuous multi-frame real-time snapshot pictures, comprising: in continuous multi-frame real-time snapshot pictures, the interval of snapshot time corresponding to every two adjacent pictures is equal to the set duration.
In the auxiliary decision system using angle big data matching:
performing a directional blurring operation on the received second enhanced picture to obtain a corresponding third enhanced picture comprises: and executing background blurring operation on the received second enhanced picture to obtain a corresponding third enhanced picture.
In the auxiliary decision system using angle big data matching:
the method for sending the snapshot execution instruction under the odd number pressing of the referee and the snapshot pause instruction under the even number pressing of the referee comprises the following steps: the judge sends out a snapshot execution instruction under the first pressing, and the judge sends out a snapshot pause instruction under the second pressing.
In the auxiliary decision system using angle big data matching:
the method comprises the steps of obtaining multiple frames of third enhanced pictures corresponding to multiple frames of real-time snapshot pictures respectively, identifying each human body imaging area in each frame of third enhanced picture, and outputting the human body imaging area closest to the central position of the third enhanced picture as a detection imaging area, wherein the steps of: identifying each human body imaging area in each frame of third enhanced picture based on the human body gray value interval;
the method comprises the following steps of obtaining multiple frames of third enhanced pictures corresponding to multiple frames of real-time snapshot pictures respectively, identifying each human body imaging area in each frame of third enhanced picture, and outputting the human body imaging area closest to the central position of the third enhanced picture as a detection imaging area, wherein the method further comprises the following steps: for each human body imaging area, taking the total number of pixel points at the center of the human body imaging area and pixel points at intervals of the pixel points at the center of the third enhanced picture as the proximity degree of each human body imaging area to the third enhanced picture;
for each human body imaging area, taking the total number of pixel points at intervals between the pixel point at the center position of the human body imaging area and the pixel point at the center position of the third enhanced picture as the approach degree of each human body imaging area approaching the third enhanced picture, wherein the approach degree comprises the following steps: and for each human body imaging area, when the total number of the pixel points at the central position of the human body imaging area and the pixel points at the central position of the third enhanced picture is larger, the closer the human body imaging area is to the third enhanced picture is judged to be farther.
In addition, in the auxiliary decision system using angle big data matching, for each human body imaging region, taking the total number of pixels spaced apart from each other between a pixel at the center position of the pixel and a pixel at the center position of the third enhancement picture as a decision result of the proximity degree of each human body imaging region to the third enhancement picture includes: for each human body imaging area, when the total number of pixel points at the center of the human body imaging area is larger than the total number of pixel points at intervals of the pixel points at the center of the third enhanced picture, the closer the human body imaging area is to the third enhanced picture is judged to be.
By adopting the auxiliary judgment system utilizing angle big data matching, aiming at the technical problem of insufficient manual scoring precision of the ice skating event referee in the prior art, the corresponding relation between the angle and the completion degree can be stored by adopting the database, and the single-point curve probability at the pixel point level is introduced to help the referee provide an electronic auxiliary judgment mechanism of the ice skating player jumping cycle completion degree, so that the judgment error probability is reduced.
The foregoing description of the invention has been presented for purposes of illustration and description. It is not intended to be exhaustive or to limit the invention to the precise form disclosed. The breadth and scope of the present invention should not be limited by any of the above-described exemplary embodiments. Many modifications and variations will be apparent to those of ordinary skill in the art. Such modifications and variations include any relevant combination of the features disclosed. The embodiments were chosen and described in order to best explain the principles of the invention and its practical applications, to thereby enable others skilled in the art to understand the invention for various embodiments and with various modifications as are suited to the particular use contemplated. It is intended that the scope of the invention be defined by the following claims and their equivalents.
Claims (10)
1. An aided decision system using angle big data matching, the system comprising:
the database application node is connected with the action recognition component and used for storing each finish degree of each angle corresponding to the jumping circle number set by each athlete by adopting a database;
the scene control button is arranged on a judge seat of the skating match and used for sending a snapshot execution instruction under the odd number pressing of the judge and sending a snapshot pause instruction under the even number pressing of the judge;
the frame-by-frame snapshot mechanism is connected with the field control button and is used for triggering real-time snapshot action on a skating match field when receiving a snapshot execution instruction so as to obtain continuous multi-frame real-time snapshot pictures;
the first enhancement mechanism is connected with the frame-by-frame snapshot mechanism and is used for executing salt and pepper noise elimination operation on each received frame of real-time snapshot picture so as to obtain a corresponding first enhancement picture;
the second enhancement mechanism is connected with the first enhancement mechanism and is used for carrying out edge sharpening operation on each received enhanced picture so as to obtain a corresponding second enhanced picture;
the third enhancement mechanism is connected with the second enhancement mechanism and is used for executing directional blurring operation on the received second enhancement picture to obtain a corresponding third enhancement picture;
the time-sharing acquisition component is connected with the third enhancement mechanism and is used for obtaining multiple frames of third enhancement pictures corresponding to the multiple frames of real-time snapshot pictures respectively, identifying each human body imaging area in each frame of third enhancement picture and outputting the human body imaging area closest to the central position of the third enhancement picture as a detection imaging area;
the curve analysis component is connected with the time-sharing acquisition component and is used for receiving a plurality of detection imaging areas corresponding to a plurality of frames of third enhancement pictures respectively, acquiring a curve formed by each same pixel point in the plurality of detection imaging areas as a single-point curve, and outputting each single-point curve corresponding to each same pixel point in the plurality of detection imaging areas;
the angle identification component is connected with the curve analysis component and used for calculating the surrounding angle of each single-point curve and removing the maximum value and the minimum value of each surrounding angle corresponding to each received single-point curve to obtain a plurality of residual angle values;
and the action identification component is connected with the angle identification component and is used for analyzing the residual angle value with the largest occurrence frequency in the residual angle values to be used as an effective angle value and judging the finish degree of the set jumping turns of the current athlete in the skating match based on the effective angle value.
2. An aided decision system using angle big data matching according to claim 1, characterized in that said system further comprises:
the voice playing part is arranged on the referee seat of the skating match, is connected with the action recognition part through a Bluetooth communication link and is used for playing the completion degree of the number of jumping circles set by the current athlete of the received skating match in real time.
3. An aided decision system using angle big data matching as claimed in claim 2 characterized in that said system further comprises:
and the content transmission part is electrically connected with the action identification part and is used for wirelessly transmitting the received finish degree of jumping turns set by the current athlete of the skating match to a remote match management server through a time division duplex communication mode.
4. An aided decision system using angle big data matching as claimed in any of claims 1-3, characterized in that:
judging the finishing degree of the jumping circle number set by the current athlete in the skating match based on the effective angle value comprises the following steps: when the number of jumping turns set by the current player of the skating game is equal to 4, the closer the effective angle value is to 1440 degrees, the higher the corresponding completion degree is.
5. An aided decision system using angle big data matching as claimed in any of claims 1-3, characterized in that:
judging the finishing degree of the jumping circle number set by the current athlete in the skating match based on the effective angle value comprises the following steps: when the number of jumping turns set by the current athlete in the skating game is equal to 4, the closer the effective angle value is to 1080 degrees, the higher the corresponding finish degree is.
6. An aided decision system using angle big data matching as claimed in any of claims 1-3, characterized in that:
receiving a plurality of detection imaging areas corresponding to a plurality of frames of third enhancement pictures respectively, acquiring a curve formed by each same pixel point in the plurality of detection imaging areas as a single-point curve, and outputting each single-point curve corresponding to each same pixel point in the plurality of detection imaging areas respectively comprises: and respectively connecting the same pixel points end to end at a plurality of positions in a plurality of detection imaging areas to form a curve as a single-point curve.
7. An aided decision system using angle big data matching as claimed in any of claims 1-3, characterized in that:
when receiving a snapshot execution instruction, triggering a real-time snapshot action on a skating match field to obtain continuous multi-frame real-time snapshot pictures, comprising: in continuous multi-frame real-time snapshot pictures, the interval of snapshot time corresponding to every two adjacent pictures is equal to the set duration.
8. An aided decision system using angle big data matching as claimed in any of claims 1-3, characterized in that:
performing a directional blurring operation on the received second enhanced picture to obtain a corresponding third enhanced picture comprises: and executing background blurring operation on the received second enhanced picture to obtain a corresponding third enhanced picture.
9. An aided decision system using angle big data matching as claimed in any of claims 1-3, characterized in that:
the method for sending the snapshot execution instruction under the odd number pressing of the referee and the snapshot pause instruction under the even number pressing of the referee comprises the following steps: the judge sends out a snapshot execution instruction under the first pressing, and the judge sends out a snapshot pause instruction under the second pressing.
10. An aided decision system using angle big data matching as claimed in any one of claims 1 to 3, characterized in that:
the method comprises the steps of obtaining multiple frames of third enhanced pictures corresponding to multiple frames of real-time snapshot pictures respectively, identifying each human body imaging area in each frame of third enhanced picture, and outputting the human body imaging area closest to the central position of the third enhanced picture as a detection imaging area, wherein the steps of: identifying each human body imaging area in each frame of third enhanced picture based on the human body gray value interval;
the method comprises the following steps of obtaining multiple frames of third enhanced pictures corresponding to multiple frames of real-time snapshot pictures respectively, identifying each human body imaging area in each frame of third enhanced picture, and outputting the human body imaging area closest to the central position of the third enhanced picture as a detection imaging area, wherein the method further comprises the following steps: for each human body imaging area, taking the total number of pixel points at the center of the human body imaging area and pixel points at intervals of the pixel points at the center of the third enhanced picture as the proximity degree of each human body imaging area to the third enhanced picture;
for each human body imaging area, taking the total number of pixel points separated from the pixel point at the central position of the central point of the third enhanced picture as the proximity degree of each human body imaging area approaching the third enhanced picture comprises the following steps: and for each human body imaging area, when the total number of the pixel points at the central position of the human body imaging area and the pixel points at the central position of the third enhanced picture is larger, the closer the human body imaging area is to the third enhanced picture is judged to be farther.
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| CN107454336A (en) * | 2017-09-11 | 2017-12-08 | 广东欧珀移动通信有限公司 | Image processing method and device, electronic installation and computer-readable recording medium |
| CN110222977A (en) * | 2019-06-03 | 2019-09-10 | 张学志 | One kind movement sport methods of marking based on computer vision and device |
| CN113808066A (en) * | 2020-05-29 | 2021-12-17 | Oppo广东移动通信有限公司 | Image selection method and device, storage medium and electronic equipment |
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| WO2023184780A1 (en) * | 2022-03-30 | 2023-10-05 | 蔡戴朋 | Layout inspection system using cloud storage and corresponding terminal |
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