CN113750440A - Method and system for identifying and counting rope skipping data - Google Patents

Method and system for identifying and counting rope skipping data Download PDF

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CN113750440A
CN113750440A CN202111120709.1A CN202111120709A CN113750440A CN 113750440 A CN113750440 A CN 113750440A CN 202111120709 A CN202111120709 A CN 202111120709A CN 113750440 A CN113750440 A CN 113750440A
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counting
skipping
contour
rope
data
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CN113750440B (en
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刘勇
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Suning Intelligent Terminal Co ltd
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    • AHUMAN NECESSITIES
    • A63SPORTS; GAMES; AMUSEMENTS
    • A63BAPPARATUS FOR PHYSICAL TRAINING, GYMNASTICS, SWIMMING, CLIMBING, OR FENCING; BALL GAMES; TRAINING EQUIPMENT
    • A63B5/00Apparatus for jumping
    • A63B5/20Skipping-ropes or similar devices rotating in a vertical plane
    • AHUMAN NECESSITIES
    • A63SPORTS; GAMES; AMUSEMENTS
    • A63BAPPARATUS FOR PHYSICAL TRAINING, GYMNASTICS, SWIMMING, CLIMBING, OR FENCING; BALL GAMES; TRAINING EQUIPMENT
    • A63B71/00Games or sports accessories not covered in groups A63B1/00 - A63B69/00
    • A63B71/06Indicating or scoring devices for games or players, or for other sports activities
    • A63B71/0619Displays, user interfaces and indicating devices, specially adapted for sport equipment, e.g. display mounted on treadmills
    • A63B71/0669Score-keepers or score display devices

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  • Physical Education & Sports Medicine (AREA)
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Abstract

The invention discloses a method and a system for identifying and counting rope skipping data, and relates to the technical field of intelligent fitness equipment. The method comprises the following steps: acquiring an original image containing counting skipping ropes and counting; extracting a contour image based on the original image, and respectively calculating a color similarity value and a contour similarity value of the contour image; calculating to obtain preset brand model similarity based on the color similarity value and the contour similarity value, and obtaining a preset brand counting skipping rope equipment model based on the highest preset brand model similarity; and reading data on a display screen of the counting rope skipping device according to the data format of the preset brand counting rope skipping device model. According to the invention, after rope skipping is finished, a user only shoots a picture containing the complete shape of the skipping rope, and the server reads and counts the displayed data on the rope skipping display screen through analysis and processing, so that the rope skipping data can be simply and conveniently read.

Description

Method and system for identifying and counting rope skipping data
Technical Field
The invention relates to the technical field of intelligent fitness equipment, in particular to a method and a system for recognizing and counting rope skipping data.
Background
At present, skipping rope is a common body-building sport, each big e-commerce platform has multiple skipping rope that can show the count now, and the count skipping rope has the display screen and can show this skipping rope count, but because the cost reason, does not install wireless communication modules such as bluetooth, can't give APP (application) with the body-building of the record on the skipping rope etc. data transmission.
Moreover, the rope skipping display screen can display the number of the current rope skipping, calories consumed by rope skipping, time used by the current rope skipping and the weight of the user. The user needs to read the four data and then inputs the data into the APP through manual operation, the steps are complicated, and the user experience is not good.
Disclosure of Invention
In order to solve at least one problem mentioned in the background art, the invention provides a method and a system for identifying and counting rope skipping data.
The embodiment of the invention provides the following specific technical scheme:
in a first aspect, a method for identifying counting skipping rope data is provided, wherein the server comprises a database, counting skipping rope data of different brands and models are stored in the database, and the method comprises the following steps:
s1: acquiring an original image containing counting skipping ropes and counting;
s2: extracting a contour image based on the original image, and respectively calculating a color similarity value and a contour similarity value of the contour image;
s3: calculating to obtain preset brand model similarity based on the color similarity value and the contour similarity value, and obtaining a preset brand counting skipping rope equipment model based on the highest preset brand model similarity;
s4: and reading data on a display screen of the counting rope skipping device according to the data format of the preset brand counting rope skipping device model.
Further, the extracting a contour image based on an original image and calculating a color similarity value and a contour similarity value of the contour image respectively includes:
a) calculating an original image by a binarization method or Grabcut algorithm segmentation, and extracting a contour image;
b) based on the contour image, segmenting and calculating a color histogram of the contour image, a ratio of contour perimeter to contour area, a number of contour angle points, and a minimum convex hull ratio of the contour area to the contour;
c) performing histogram intersection on the color histogram in the step b) and the color histogram in the database, and calculating a color similarity value;
d) and associating the ratio of the perimeter of the outline to the area of the outline, the number of points of the angle of the outline, the minimum convex hull ratio of the area of the outline to the outline with the ratio of the perimeter of the outline to the area of the outline, the number of points of the angle of the outline and the minimum convex hull ratio of the area of the outline in the database, and calculating the similarity value of the outline by adopting the Euclidean distance.
Further, the binarization method comprises the following steps: extracting an original image, and converting the original image into an RGB color space or an HSV color space;
when the original image is an RGB color space, the range of the abscissa is 0-255, and the ordinate is the proportion of the pixel points of the corresponding color to all the pixel points;
when the original image is converted into HSV color space, the range of the abscissa is 0-360, and the ordinate is the proportion of the pixel points of the corresponding color to all the pixel points.
Furthermore, the number of the contour corner points is obtained by adopting a Harris corner point detection algorithm, and the ratio of the contour area to the minimum convex hull of the contour is obtained by adopting a Graham scanning algorithm.
Further, the calculating the similarity of the preset brand model based on the color similarity value and the contour similarity value includes: and calculating the similarity of preset brands and models by adopting the Euclidean distance.
Further, acquiring the image containing the counted skipping rope and the counted number includes shooting by a camera or transmitting through a network.
Further, the server reads data on a display screen of the counting rope skipping device by adopting an OCR technology and stores the data.
Further, the data on the display screen of the rope skipping device comprises one or more of data of rope skipping calorie consumption, rope skipping number, rope skipping time, user weight and the like.
In a second aspect, there is provided a system for identifying a method of counting rope skips, comprising: the system comprises an original image acquisition module, a contour image extraction module, a preset brand similarity calculation module and a counting skipping rope data identification module;
the original image acquisition module is used for acquiring an original image containing counting skipping ropes and counting;
the contour image extraction module is used for extracting a contour image based on an original image and counting the color similarity value and the contour similarity value of the contour image;
the preset brand similarity calculation module is used for calculating the similarity of preset brands and models, finding out the highest similarity of the preset brands and models through the server and obtaining the model of the rope skipping equipment with the preset brand count;
and the counting rope skipping data identification module is used for reading data on a display screen of the counting rope skipping device according to the data format of the preset brand counting rope skipping device model.
In a third aspect, a computer-readable storage medium is provided that stores computer-executable instructions for performing the method of identifying counting skipping rope data as described above.
The embodiment of the invention has the following beneficial effects:
1. according to the technical scheme provided by the embodiment of the invention, when equipment without a Bluetooth module is used, an original image with complete counting skipping ropes is shot, a profile image is extracted based on the original image, the color similarity and the profile similarity are calculated to be associated with counting skipping rope data stored in a database, the preset brand model similarity is calculated by adopting a Euclidean distance, the corresponding brand counting skipping rope equipment model is obtained based on the highest preset brand model similarity, and then the data on a display screen of the counting skipping rope equipment is read according to the data format of the brand counting skipping rope equipment model; by the method, the data on the counting skipping rope can be conveniently and quickly read, and meanwhile, the data storage of counting skipping rope equipment models of different brands can be realized, so that the statistical analysis of the skipping rope equipment models is facilitated;
2. meanwhile, for the counting skipping rope with the Bluetooth module, a user can also choose not to establish Bluetooth connection, directly take pictures, and then read and display related data by the method in the embodiment;
3. a manufacturer can produce the counting skipping rope without the Bluetooth module or other wireless modules, and the cost is saved for the manufacturer;
4. the main color of the skipping rope in the market can be obtained by counting the data such as the main color of the skipping rope in the database, and a skipping rope color design basis is provided for manufacturers;
5. the occupied proportion of the skipping rope brand and model in the current market can be obtained by counting the skipping rope brand and model in the database;
6. by counting the rope skipping number and the rope skipping time of all users in the database, the user can be informed of the exercise time or the ranking of the rope skipping number, and the user is encouraged to exercise. Through statistical analysis of the rope skipping number and the weight incidence relation of the user, the user can be prompted to increase the rope skipping number or keep the rope skipping number in order to keep the weight.
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In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed to be used in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.
FIG. 1 is a schematic diagram of a method for identifying counting jump rope data embodying the present application;
FIG. 2 is a schematic diagram of an original image embodying the present application;
FIG. 3 is a schematic diagram of a profile image for embodying the present application;
FIG. 4 is a schematic representation of a contour perimeter for embodying the present application;
FIG. 5 is a schematic diagram of contour corners for embodying the present application;
FIG. 6 shows a schematic view of a small biu brand count jump rope;
FIG. 7 is an exemplary system that can be used to implement the various embodiments described in this application.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. 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.
As described in the background art, some devices without wireless communication modules such as bluetooth are not installed, and after the rope skipping is finished, the user needs to manually input the data on the counting rope skipping into the corresponding APP for recording, so that the process is complicated, and errors are easy to occur. In addition, the installation of wireless communication modules such as bluetooth on the counting skipping rope device increases the production cost, and therefore, a method for reducing the cost and reading the data on the counting skipping rope is urgently needed, so that the data on the counting skipping rope can be recorded simply, conveniently and accurately.
Example one
A method for identifying and counting rope skipping data is based on a server, the server comprises a database, counting rope skipping data of different brands and models are stored in the database, the counting rope skipping data comprise brands and models of existing counting rope skipping equipment, existing counting rope skipping brand images, existing brand profile images, existing profile image color histograms, existing corner points, existing profile area and profile minimum convex hull ratios and the like, and as shown in figure 1, the method comprises the following steps:
s1: the method comprises the steps of obtaining an original image containing counting skipping ropes and counting, specifically, finishing skipping rope movement by a user, opening an APP to obtain the original image through shooting of a camera device, and simultaneously requiring the original image to be in a complete shape including the counting skipping ropes and to contain a counting display screen. As shown in fig. 2, an original image of a small biu brand count skipping rope PRO model is shown, a concave part with numbers in the figure is a count skipping rope display screen, and then the APP uploads the original image to the server.
S2: a contour image, which is shown in fig. 3, is extracted based on the original image, and a color similarity value and a contour similarity value of the contour image are calculated, respectively. Extracting a contour image based on an original image, and calculating a color similarity value and a contour similarity value of the contour image respectively comprises:
a) and (4) segmenting and calculating an original image by a binarization method or a Grabcut algorithm, and extracting a contour image. Specifically, the binarization method comprises the following steps: and extracting an original image, and converting the original image into an RGB color space or an HSV color space.
When the original image is an RGB color space, setting the range of the abscissa as 0-255 and the ordinate as the proportion of corresponding color pixel points in all pixel points; when the original image is converted into an HSV color space, the range of the abscissa is set to be 0-360, and the ordinate is the proportion of the pixel points of the corresponding color to all the pixel points.
Specifically, the conversion formula for converting RGB into HSV is that, wherein the numerical range of R, G and B is 0-255,
R’=R/255;
G’=G/255;
B’=B/255;
Cmax=max(R’,G’,B’);Cmin=min(R’,G’,B’);Δ=Cmax-Cmin。
in the HSV color space, H is the hue, and the value range is 0-360 degrees by using the angle measurement; s is saturation, and the value range is 0.0-1.0; v is intensity, and the value range is 0.0-1.0.
Specifically, the H value corresponds to the following formula:
(1)0°,Δ=0;
(2)
Figure BDA0003277028530000061
(3)
Figure BDA0003277028530000062
(4)
Figure BDA0003277028530000063
the value S corresponds to the following formula:
(1)0,Cmax=0;
(2)
Figure BDA0003277028530000071
the value V corresponds to the following formula:
V=Cmax。
and carrying out gray level processing on the original image through the steps to obtain a contour image.
Meanwhile, the contour obtained by the binarization method and the GrabCont algorithm can be compared, and the smaller part of the contour in the two methods is selected to be fused to obtain the contour image of the small biu brand counting skipping rope.
b) Based on the contour image, the color histogram of the contour image, the ratio of the contour perimeter to the contour area, the number of contour angle points, and the minimum convex hull ratio of the contour area to the contour are calculated in a segmentation mode. As shown in fig. 4, the length of the selected contour line is the contour perimeter, and the area included by the selected contour line is the contour area. As shown in fig. 5, the rounded corners selected for the line circle corresponding to the four corners of the contour image are contour corner points.
c) Performing histogram intersection on the color histogram in the step b) and the color histogram in the database, and calculating a color similarity value;
the principle of the histogram intersection method is: the two histogram vectors correspond to the same number of bins (number k) at the position, and then the number of all positions is summed, as follows:
Figure BDA0003277028530000072
and then calculating a color similarity value through a formula of similarity between the two articles, wherein the formula of calculating the color similarity is as follows:
Figure BDA0003277028530000073
d) according to a corresponding calculation formula, respectively calculating the ratio of the perimeter of the outline to the area of the outline, the number of points of the angle points of the outline and the minimum convex hull ratio of the area of the outline to the outline based on the outline image in a). The contour angle point number is obtained by a Harris angular point detection algorithm, the contour area and the minimum convex hull ratio of the contour are obtained by a Graham scanning algorithm, the contour circumference and the contour area ratio of the counting skipping rope with the known brand model in the database, the contour angle point number, the contour area and the minimum convex hull ratio of the contour are correlated, and the contour similarity value is calculated by the Euclidean distance.
Specifically, the calculation method using the euclidean distance calculation is that a calculation formula of the distance d between two points in the n-dimensional space is:
Figure BDA0003277028530000081
specifically, the formula of the similarity between two articles is as follows:
Figure BDA0003277028530000082
through the above calculation, the color similarity value and the contour similarity value are obtained, respectively.
S3: and calculating to obtain preset brand model similarity based on the color similarity value and the contour similarity value, and finding out the highest preset brand model similarity by the server to obtain the corresponding brand counting skipping rope equipment model.
Specifically, the Euclidean distance is reused for calculation based on the color similarity value and the outline similarity value to obtain the preset brand model similarity, the server finds out the highest preset brand model similarity by comparing the numerical values of the preset brand model similarity, the preset brand counting skipping device model is determined, and based on the data format of the brand model of the existing counting skipping device stored in the data path, the data format of the preset brand model counting skipping is obtained correspondingly.
S4: and reading data on a display screen of the counting rope skipping device according to a data format of the model of the counting rope skipping device of the preset brand, and storing the data on the display screen of the counting rope skipping device through the server. Specifically, the server reads data on a display screen of the counting rope skipping device by adopting an OCR technology. The method specifically comprises an information acquisition module used for acquiring an original image.
And the information judgment module is used for detecting the data position on the display screen in the original image according to the data format of the counting skipping rope of the preset brand model, and judging whether the original image containing the data of the display screen of the counting skipping rope equipment is qualified or not.
And the OCR recognition module is used for recognizing various data on the display screen of the rope skipping device, classifying the data according to the data format of the counting rope skipping of the preset brand model, wherein the data on the display screen of the counting rope skipping device comprises data such as the calorie consumed by rope skipping, the number of rope skipping, the rope skipping time, the weight of a user and the like.
Specifically, data on a display screen of the intelligent rope skipping machine is analyzed by adopting an OCR technology, the first section of data is consumed calories, the second section of data is the number of rope skipping, the third section of data is rope skipping consumed time, the fourth section of data is user weight, the data of counting rope skipping of different brands and models are read according to a data format of counting rope skipping of preset brands and models, as shown in FIG. 6, the counting rope skipping of a small biu brand is displayed, the selection position of a frame coil is a display screen of the counting rope skipping of a small biu brand, W080 represents that the user weight is 80 kilograms, 1021L represents that the number of rope skipping is 1021, T08:49 represents that the rope skipping time is 8 minutes 49 seconds, and 153C represents that consumed calories are 153 big cards.
Meanwhile, the server can analyze and record data on the display screen of the rope skipping counting equipment, wherein the data include a rope skipping movement record, a rope skipping day trend graph, a rope skipping month trend graph, a rope skipping year trend graph, a rope skipping ranking list and the like, so that a user can conveniently track own data for a long time and know own movement state. Due to the arrangement of the skipping rope ranking list, skipping rope movement can be more tense and stimulated, and the purpose of stimulating a user to actively skip a rope is achieved.
Meanwhile, the server side can inform the user of the movement time or the ranking of the rope skipping number by counting the rope skipping number and the rope skipping time of all users in the database, and motivate the user to actively skip the rope. The server can prompt the user that the rope skipping number needs to be increased or kept for keeping the weight by statistically analyzing the rope skipping number and the weight incidence relation of the user.
Meanwhile, the server side can count data such as main rope skipping colors in the database, and color design basis is provided for rope skipping manufacturers.
Meanwhile, the server side can count data such as rope skipping brands and models in the database and give an occupation ratio list of the brands and the models.
In addition, in addition to the above description, the present application is executed by the server, and the solution can also be executed by the user side, and the server side assists in providing and storing counting skipping rope data of different brands and models for the calculation and matching of the user side; or, the scheme is executed by the user terminal and the server terminal together.
Example two
Corresponding to the above embodiments, the present application provides a system based on a method for identifying and counting rope skipping data, including: the system comprises an original image acquisition module, a contour image extraction module, a preset brand similarity calculation module and a counting rope skipping data identification module.
Firstly, an operator collects counting skipping ropes on the market, photographs are taken through a camera device, and through the steps of S1, S2 and S3, the similarity of preset brand models and various data in original images are calculated and obtained, and the various data are stored in a database.
Specifically, the original image acquisition module is used for opening the camera device to shoot an original image containing the counting of the complete shape of the skipping rope and the counting after the user finishes skipping rope.
Specifically, the contour image extraction module extracts a contour image based on an original image and counts a color similarity value and a contour similarity value of the contour image.
Specifically, the preset brand similarity calculation module is used for calculating the preset brand model similarity, finding out the highest preset brand model similarity through the server, and obtaining the preset brand counting skipping rope equipment model.
Specifically, the counting rope skipping data identification module is used for reading data on a display screen of the counting rope skipping device according to a data format of a preset brand counting rope skipping device model.
As shown in fig. 7, an exemplary system that can be used to implement the various embodiments described in this application.
In some embodiments, the system can be the apparatus described above as a method of identifying counting rope skips in any of the embodiments described above. In some embodiments, a system may include one or more computer-readable media (e.g., system memory or NVM/storage) having instructions and one or more processors (e.g., processor (s)) coupled with the one or more computer-readable media and configured to execute the instructions to implement modules to perform actions described herein.
For one embodiment, the system control module may include any suitable interface controller to provide any suitable interface to at least one of the processor(s) and/or any suitable device or component in communication with the system control module.
The system control module may include a memory controller module to provide an interface to the system memory. The memory controller module may be a hardware module, a software module, and/or a firmware module.
System memory may be used, for example, to load and store data and/or instructions for the system. For one embodiment, the system memory may comprise any suitable volatile memory, such as suitable DRAM. In some embodiments, the system memory may include a double data rate type four synchronous dynamic random access memory (DDR4 SDRAM).
For one embodiment, the system control module may include one or more input/output (I/O) controllers to provide an interface to the NVM/storage and communication interface(s).
For example, the NVM/storage may be used to store data and/or instructions. The NVM/storage may include any suitable non-volatile memory (e.g., flash memory) and/or may include any suitable non-volatile storage device(s) (e.g., one or more hard disk drive(s) (HDD (s)), one or more Compact Disc (CD) drive(s), and/or one or more Digital Versatile Disc (DVD) drive (s)).
The NVM/storage may include storage resources that are physically part of the device on which the system is installed, or it may be accessible by the device and not necessarily part of the device. For example, the NVM/storage may be accessible over a network via the communication interface(s).
The communication interface(s) may provide an interface for the system to communicate over one or more networks and/or with any other suitable device. The system may wirelessly communicate with one or more components of the wireless network according to any of one or more wireless network standards and/or protocols.
For one embodiment, at least one of the processor(s) may be packaged together with logic for one or more controllers (e.g., memory controller modules) of the system control module. For one embodiment, at least one of the processor(s) may be packaged together with logic for one or more controllers of the system control module to form a System In Package (SiP). For one embodiment, at least one of the processor(s) may be integrated on the same die with logic for one or more controllers of the system control module. For one embodiment, at least one of the processor(s) may be integrated on the same die with logic of one or more controllers of a system control module to form a system on a chip (SoC).
In various embodiments, the system may be, but is not limited to being: a server, a workstation, a desktop computing device, or a mobile computing device (e.g., a laptop computing device, a handheld computing device, a tablet, a netbook, etc.). In various embodiments, the system may have more or fewer components and/or different architectures. For example, in some embodiments, a system includes one or more cameras, a keyboard, a Liquid Crystal Display (LCD) screen (including touch screen displays), a non-volatile memory port, multiple antennas, a graphics chip, an Application Specific Integrated Circuit (ASIC), and speakers.
It should be noted that the present application may be implemented in software and/or a combination of software and hardware, for example, implemented using Application Specific Integrated Circuits (ASICs), general purpose computers or any other similar hardware devices. In one embodiment, the software programs of the present application may be executed by a processor to implement the steps or functions described above. Likewise, the software programs (including associated data structures) of the present application may be stored in a computer readable recording medium, such as RAM memory, magnetic or optical drive or diskette and the like. Additionally, some of the steps or functions of the present application may be implemented in hardware, for example, as circuitry that cooperates with the processor to perform various steps or functions.
In addition, some of the present application may be implemented as a computer program product, such as computer program instructions, which when executed by a computer, may invoke or provide methods and/or techniques in accordance with the present application through the operation of the computer. Those skilled in the art will appreciate that the form in which the computer program instructions reside on a computer-readable medium includes, but is not limited to, source files, executable files, installation package files, and the like, and that the manner in which the computer program instructions are executed by a computer includes, but is not limited to: the computer directly executes the instruction, or the computer compiles the instruction and then executes the corresponding compiled program, or the computer reads and executes the instruction, or the computer reads and installs the instruction and then executes the corresponding installed program. Computer-readable media herein can be any available computer-readable storage media or communication media that can be accessed by a computer.
Communication media includes media by which communication signals, including, for example, computer readable instructions, data structures, program modules, or other data, are transmitted from one system to another. Communication media may include conductive transmission media such as cables and wires (e.g., fiber optics, coaxial, etc.) and wireless (non-conductive transmission) media capable of propagating energy waves such as acoustic, electromagnetic, RF, microwave, and infrared. Computer readable instructions, data structures, program modules, or other data may be embodied in a modulated data signal, for example, in a wireless medium such as a carrier wave or similar mechanism such as is embodied as part of spread spectrum techniques. The term "modulated data signal" means a signal that has one or more of its characteristics set or changed in such a manner as to encode information in the signal. The modulation may be analog, digital or hybrid modulation techniques.
An embodiment according to the present application comprises an apparatus comprising a memory for storing computer program instructions and a processor for executing the program instructions, wherein the computer program instructions, when executed by the processor, trigger the apparatus to perform a method and/or a solution according to the aforementioned embodiments of the present application.
EXAMPLE III
Corresponding to the above embodiments, the present application also provides a computer-readable storage medium storing computer-executable instructions for performing the method for identifying counting skipping rope data as described above.
In the present embodiment, computer-readable storage media may include volatile and nonvolatile, removable and non-removable media implemented in any method or technology for storage of information, such as computer-readable instructions, data structures, program modules, or other data. For example, computer-readable storage media include, but are not limited to, volatile memory such as random access memory (RAM, DRAM, SRAM); and non-volatile memory such as flash memory, various read-only memories (ROM, PROM, EPROM, EEPROM), magnetic and ferromagnetic/ferroelectric memories (MRAM, FeRAM); and magnetic and optical storage devices (hard disk, tape, CD, DVD); or other now known media or later developed that can store computer-readable information/data for use by a computer system.
While preferred embodiments of the present invention have been described, additional variations and modifications in those embodiments may occur to those skilled in the art once they learn of the basic inventive concepts. Therefore, it is intended that the appended claims be interpreted as including preferred embodiments and all such alterations and modifications as fall within the scope of the embodiments of the invention.
It will be apparent to those skilled in the art that various changes and modifications may be made in the present invention without departing from the spirit and scope of the invention. Thus, if such modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include such modifications and variations.

Claims (10)

1. A method of identifying counting rope skips, the method comprising the steps of:
s1: acquiring an original image containing counting skipping ropes and counting;
s2: extracting a contour image based on the original image, and respectively calculating a color similarity value and a contour similarity value of the contour image;
s3: calculating to obtain preset brand model similarity based on the color similarity value and the contour similarity value, and obtaining a preset brand counting skipping rope equipment model based on the highest preset brand model similarity;
s4: and reading the display screen data of the counting rope skipping device according to the data format of the preset brand counting rope skipping device model.
2. The method of claim 1, wherein the extracting a contour image based on an original image and calculating a color similarity value and a contour similarity value of the contour image respectively comprises:
a) calculating an original image by a binarization method or Grabcut algorithm segmentation, and extracting a contour image;
b) based on the contour image, segmenting and calculating a color histogram of the contour image, a ratio of contour perimeter to contour area, a number of contour angle points, and a minimum convex hull ratio of the contour area to the contour;
c) performing histogram intersection on the color histogram in the step b) and the color histogram in the database, and calculating a color similarity value;
d) and associating the ratio of the perimeter of the outline to the area of the outline, the number of points of the angle of the outline, the minimum convex hull ratio of the area of the outline to the outline with the ratio of the perimeter of the outline to the area of the outline, the number of points of the angle of the outline and the minimum convex hull ratio of the area of the outline in the database, and calculating the similarity value of the outline by adopting the Euclidean distance.
3. The method for identifying counting skipping data according to claim 2, wherein the binarization method comprises: extracting an original image, and converting the original image into an RGB color space or an HSV color space;
when the original image is an RGB color space, the range of the abscissa is 0-255, and the ordinate is the proportion of the pixel points of the corresponding color to all the pixel points;
when the original image is converted into HSV color space, the range of the abscissa is 0-360, and the ordinate is the proportion of the pixel points of the corresponding color to all the pixel points.
4. The method for identifying counting skipping rope data according to claim 2, wherein the number of contour corner points is obtained by Harris corner detection algorithm, and the ratio of the contour area to the minimum convex hull of the contour is obtained by Graham scanning algorithm.
5. The method for recognizing and counting skipping rope data according to claim 1, wherein the calculating the similarity of the preset brand model based on the color similarity value and the contour similarity value comprises: and calculating the similarity of preset brands and models by adopting the Euclidean distance.
6. The method of claim 1, wherein acquiring the image containing the counted rope skips and the count comprises capturing by a camera or transmitting over a network.
7. The method for identifying counting skipping data as claimed in claim 1, wherein the server reads the data on the display screen of the counting skipping device by using OCR technology and stores the data.
8. The counting skipping rope data for identifying different brands and models according to claim 1, wherein the data on the display screen of the counting skipping rope device comprises one or more of skipping rope calorie, skipping rope number, skipping rope time, user weight and the like.
9. A system for identifying and counting rope skipping data based on a method comprising: the system comprises an original image acquisition module, a contour image extraction module, a preset brand similarity calculation module and a counting skipping rope data identification module;
the original image acquisition module is used for acquiring an original image containing counting skipping ropes and counting;
the contour image extraction module is used for extracting a contour image based on an original image and counting the color similarity value and the contour similarity value of the contour image;
the preset brand similarity calculation module is used for calculating the similarity of preset brands and models and obtaining the model of the rope skipping equipment with the preset brand count based on the highest similarity of the preset brands and models;
and the counting rope skipping data identification module is used for reading data on a display screen of the counting rope skipping device according to the data format of the preset brand counting rope skipping device model.
10. A computer-readable storage medium storing computer-executable instructions for performing the method of identifying counting skipping rope data of any one of claims 1 to 8.
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