Motion video image rapid feedback system based on cloud network

Abstract

The invention discloses a fast motion video image feedback system based on a cloud network. The fast motion video image feedback system comprises a camera, a wireless transceiver, a controller, a motion recognition module, a motion monitoring module, a multi-algorithm program module, a cloud database and a motion real-time feedback module. The camera is used for collecting videos and importing shot videos into the motion recognition module through the wireless transceiver, the wireless transceiver is used for transmitting the videos and data in real time, the controller is used for processing and analyzing video images, and the motion recognition module comprises a cloud network and a cloud storage unit. The motion monitoring module is used for comparing or tracking technical parameters of athletes, the motion real-time feedback module is used for tracking historical data of the athletes or comparing the historical data with related kinematics parameters of world-level excellent athletes to generate an intelligent analysis report, and the intelligent analysis report is fed back to the equipment through the wireless transceiver. The method has the advantages of high efficiency, real-time performance, accuracy, safety and the like.

Description

Technical Field

[0001] The present invention belongs to the technical field of sports training equipment, and in particular relates to a sports video image rapid feedback system based on a cloud network. Background Art

[0002] In the context of science and technology, when participating in major international events and preparing for them, researchers usually use video image processing methods to analyze athletes' technical performance and propose optimization plans. In the process of video image feedback and processing, they often encounter a series of problems such as video loss, data transmission leakage, and untimely feedback information, which limits the demand for access to relevant data and resources. When there are too many types of video image data involved or there are specific requirements, the relevant hardware and software often cannot provide data information in real time and accurately, which reduces the efficiency of researchers' subsequent research and analysis. In addition, the maintenance of hardware and software also requires resource costs, and the time and funds for subsequent management also increase accordingly. Therefore, an efficient, accurate, real-time and secure processing system is needed. The processing technology based on cloud network imports more video image information into the cloud, quickly captures video images in the cloud network according to various cloud computing, extracts the required data information from them and uploads them to the cloud, and aggregates a large amount of data information to form a database, which can extract specific data for analysis and research at any time, and realizes the functions of managing, connecting and integrating a large number of related data resources in the cloud, effectively reducing related maintenance costs. And it can be used as needed to meet the extraction of various specific information, and generally there will be no data loss or interruption, so as to achieve rapid analysis and feedback of motion video image data. To this end, we propose a motion video image rapid feedback system based on cloud network. Summary of the invention

[0003] The purpose of the present invention is to provide a motion video image rapid feedback system based on a cloud network to solve the problems raised in the above-mentioned background technology.

[0004] To achieve the above-mentioned object, the present invention provides the following technical solutions: a cloud network-based motion video image rapid feedback system, comprising a camera, a wireless transceiver, a controller, a motion recognition module, a motion monitoring module, a plurality of algorithm program modules, a cloud database, and a motion real-time feedback module;

[0005] The camera is used for video acquisition, and the captured video is simultaneously imported into the motion recognition module through the wireless transceiver;

[0006] The wireless transceiver is used to transmit video and data in real time;

[0007] The controller is used to process and analyze the video image;

[0008] The motion recognition module includes a cloud network and a cloud storage unit, wherein the cloud network is used to create a user IP to ensure personal privacy, and the cloud storage unit is used to cover a historical data repository; the motion recognition module is used to import the collected motion image video into the cloud network of the set user through the wireless transceiver, and the cloud network automatically saves the data to the cloud storage unit, and the stored content can be logged in and viewed in any device through the set IP;

[0009] The sports monitoring module is used to compare or track the technical parameters of athletes and make selections based on the different specified parameters of the events;

[0010] The multiple algorithm program modules are used to select appropriate algorithms for cloud computing according to special characteristics;

[0011] The real-time sports feedback module is used to track the athlete's historical data or compare it with the relevant kinematic parameters of world-class athletes, generate an intelligent analysis report, and feed it back to the device through the wireless transceiver.

[0012] By setting up cameras, wireless transceivers, controllers, motion recognition modules, motion monitoring modules, multiple algorithm program modules, cloud databases and real-time motion feedback modules, the problems of incomplete video, data leakage, slow feedback information, etc. that occur when scientific researchers transmit and analyze motion video images are effectively solved, and the security is effectively improved. When extracting data from dynamic video images, specific motion parameters can be accurately and real-time recorded and uploaded to the cloud network, and calculated in real time on the cloud, and related data can be compared and analyzed to obtain the required results, which facilitates scientific researchers' research on videos of related sports events, effectively analyzes the athletes' motion status, and provides scientific training plans to achieve the goal of improving athletes' athletic level and promote the development of cloud network service motion video image processing technology.

[0013] Preferably, the system also includes a processor and an analyzer, the controller is electrically connected to the processor and the analyzer respectively, and the controller controls the processor and the analyzer respectively, the processor includes the multiple algorithm program modules and the motion monitoring module, and the analyzer includes big data and the motion real-time feedback module.

[0014] Preferably, the controller is provided with a display module, a parameter setting module and a data storage module for display, parameter setting and data storage.

[0015] Preferably, the cloud network is also used to capture and track athletes in the video through the motion monitoring module, and extract specific algorithms from the multiple algorithm program modules corresponding to the project for processing.

[0016] Preferably, the specific algorithms in the multiple algorithm program modules include adjacent frame difference method, background difference method, optical flow method, mixed Gaussian model, Canny edge detection method, continuous frame difference method and three-frame difference method.

[0017] Preferably, the specific steps of performing cloud computing with the multiple algorithm program modules are: importing data into the cloud database to perform technical parameter analysis and comparison, deriving comprehensive evaluation and technical optimization suggestions, and making adjustments at any time according to user satisfaction with the results, adjusting to the steps of transforming algorithms and databases until the user is satisfied.

[0018] Preferably, the real-time motion feedback module is also used to send the data analysis results to an email or download them to a computer or mobile phone in a short time for viewing, and the real-time motion feedback module is also used to keep the data of each user confidential.

[0019] Preferably, the system also includes a cloud sending unit, a cloud sharing unit and a cloud terminal unit.

[0020] Preferably, the specific steps of the system providing feedback to the motion video image include:

[0021] S1. Video capture by the camera;

[0022] S2. The collected video is imported into the cloud network of the motion recognition module through the wireless transceiver;

[0023] S3. The cloud storage unit of the motion recognition module receives the video data covering historical data and stores it in a database;

[0024] S4. Compare or track the athlete's technical parameters using cloud data through the motion monitoring module;

[0025] S5. Select appropriate algorithm for cloud computing according to the characteristics of the various algorithm program modules;

[0026] S6. Track the athlete's historical data or compare the relevant kinematic parameters with those of world-class athletes through the real-time sports feedback module, generate intelligent analysis reports, and provide feedback and evaluation;

[0027] S7. Feedback the feedback information to the device through the cloud sending unit, the cloud sharing unit and the cloud terminal unit.

[0028] Compared with the prior art, the present invention has the following beneficial effects:

[0029] The present invention effectively solves the problems of incomplete video, data leakage, slow feedback information, etc. when scientific researchers transmit and analyze sports video images by arranging cameras, wireless transceivers, controllers, motion recognition modules, motion monitoring modules, multiple algorithm program modules, cloud databases and real-time motion feedback modules, and effectively improves the security. When extracting data from dynamic video images, specific motion parameters can be accurately and real-time recorded and uploaded to the cloud network, and calculations can be performed in real time on the cloud to compare and analyze related data to obtain the required results, thereby facilitating scientific researchers' research on videos of related sports events, effectively analyzing the sports status of athletes, and providing scientific training plans to achieve the purpose of improving the sports level of athletes, and promoting the development of cloud network service sports video image processing technology. BRIEF DESCRIPTION OF THE DRAWINGS

[0030] Figure 1 It is a connection diagram of each module of the present invention. DETAILED DESCRIPTION

[0031] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0032] Example 1

[0033] See also Figure 1 ,The present invention provides a technical solution: a motion video image rapid feedback system based on cloud network, including a camera, a wireless transceiver, a controller, a motion recognition module, a motion monitoring module, a plurality of algorithm program modules, a cloud database, and a motion real-time feedback module;

[0034] The camera is used for video acquisition, and the captured video is simultaneously imported into the motion recognition module through the wireless transceiver;

[0035] The wireless transceiver is used to transmit video and data in real time;

[0036] The controller is used to process and analyze the video image;

[0037] The motion recognition module includes a cloud network and a cloud storage unit, wherein the cloud network is used to create a user IP to ensure personal privacy, and the cloud storage unit is used to cover a historical data repository; the motion recognition module is used to import the collected motion image video into the cloud network of the set user through the wireless transceiver, and the cloud network automatically saves the data to the cloud storage unit, and the stored content can be logged in and viewed in any device through the set IP;

[0038] The sports monitoring module is used to compare or track the technical parameters of athletes and make selections based on the different specified parameters of the events;

[0039] The multiple algorithm program modules are used to select appropriate algorithms for cloud computing according to special characteristics;

[0040] The real-time sports feedback module is used to track the athlete's historical data or compare it with the relevant kinematic parameters of world-class outstanding athletes, generate an intelligent analysis report, and feed it back to the device through the wireless transceiver.

[0041] In this embodiment, preferably, the system also includes a processor and an analyzer, the controller is electrically connected to the processor and the analyzer respectively, and the controller controls the processor and the analyzer respectively, the processor includes the multiple algorithm program modules and the motion monitoring module, and the analyzer includes big data and the motion real-time feedback module.

[0042] In this embodiment, preferably, the controller is provided with a display module, a parameter setting module and a data storage module for display, parameter setting and data storage.

[0043] In this embodiment, preferably, the cloud network is also used to capture and track the athletes in the video through the motion monitoring module, and extract specific algorithms from the multiple algorithm program modules corresponding to the project for processing.

[0044] In this embodiment, preferably, the specific algorithms in the multiple algorithm program modules include adjacent frame difference method, background difference method, optical flow method, mixed Gaussian model, Canny edge detection method, continuous frame difference method and three-frame difference method.

[0045] In this embodiment, preferably, the specific steps of performing cloud computing with the multiple algorithm program modules are: importing data into the cloud database to perform technical parameter analysis and comparison, deriving comprehensive evaluation and technical optimization suggestions, and making adjustments at any time according to user satisfaction with the results, to adjust the steps of transforming algorithms and databases until the user is satisfied.

[0046] In this embodiment, preferably, the real-time motion feedback module is also used to send the data analysis results to an email or download them to a computer and a mobile phone in a short time for viewing, and the real-time motion feedback module is also used to keep the data of each user confidential.

[0047] In this embodiment, preferably, the system further includes a cloud sending unit, a cloud sharing unit and a cloud terminal unit.

[0048] In this embodiment, preferably, the specific steps of the system providing feedback on the motion video image include:

[0049] S1. Video capture by the camera;

[0050] S2. The collected video is imported into the cloud network of the motion recognition module through the wireless transceiver;

[0051] S3. The cloud storage unit of the motion recognition module receives the video data covering historical data and stores it in a database;

[0052] S4. Compare or track the athlete's technical parameters using cloud data through the motion monitoring module;

[0053] S5. Select appropriate algorithm for cloud computing according to the characteristics of the various algorithm program modules;

[0054] S6. Track the athlete's historical data or compare the relevant kinematic parameters with those of world-class athletes through the real-time sports feedback module, generate intelligent analysis reports, and provide feedback and evaluation;

[0055] S7. Feedback the feedback information to the device through the cloud sending unit, the cloud sharing unit and the cloud terminal unit.

[0056] Example 2

[0057] See also Figure 1 ,The present invention provides a technical solution: a motion video image rapid feedback system based on cloud network, including a camera, a wireless transceiver, a controller, a motion recognition module, a motion monitoring module, a plurality of algorithm program modules, a cloud database, and a motion real-time feedback module;

[0058] The camera is used for video acquisition, and the captured video is simultaneously imported into the motion recognition module through the wireless transceiver;

[0059] The wireless transceiver is used to transmit video and data in real time;

[0060] The controller is used to process and analyze the video image;

[0061] The motion recognition module includes a cloud network and a cloud storage unit, wherein the cloud network is used to create a user IP to ensure personal privacy, and the cloud storage unit is used to cover a historical data repository; the motion recognition module is used to import the collected motion image video into the cloud network of the set user through the wireless transceiver, and the cloud network automatically saves the data to the cloud storage unit, and the stored content can be logged in and viewed in any device through the set IP;

[0062] The sports monitoring module is used to compare or track the technical parameters of athletes and make selections based on the different specified parameters of the events;

[0063] The multiple algorithm program modules are used to select appropriate algorithms for cloud computing according to special characteristics;

[0064] The real-time sports feedback module is used to track the athlete's historical data or compare it with the relevant kinematic parameters of world-class outstanding athletes, generate an intelligent analysis report, and feed it back to the device through the wireless transceiver.

[0065] In this embodiment, preferably, the system also includes a processor and an analyzer, the controller is electrically connected to the processor and the analyzer respectively, and the controller controls the processor and the analyzer respectively, the processor includes the multiple algorithm program modules and the motion monitoring module, and the analyzer includes big data and the motion real-time feedback module.

[0066] In this embodiment, preferably, the cloud network is also used to capture and track the athletes in the video through the motion monitoring module, and extract specific algorithms from the multiple algorithm program modules corresponding to the project for processing.

[0067] In this embodiment, preferably, the specific algorithms in the multiple algorithm program modules include adjacent frame difference method, background difference method, optical flow method, mixed Gaussian model, Canny edge detection method, continuous frame difference method and three-frame difference method.

[0068] In this embodiment, preferably, the specific steps of performing cloud computing with the multiple algorithm program modules are: importing data into the cloud database to perform technical parameter analysis and comparison, deriving comprehensive evaluation and technical optimization suggestions, and making adjustments at any time according to user satisfaction with the results, to adjust the steps of transforming algorithms and databases until the user is satisfied.

[0069] In this embodiment, preferably, the system further includes a cloud sending unit, a cloud sharing unit and a cloud terminal unit.

[0070] In this embodiment, preferably, the specific steps of the system providing feedback on the motion video image include:

[0071] S1. Video capture by the camera;

[0072] S2. The collected video is imported into the cloud network of the motion recognition module through the wireless transceiver;

[0073] S3. The cloud storage unit of the motion recognition module receives the video data covering historical data and stores it in a database;

[0074] S4. Compare or track the athlete's technical parameters using cloud data through the motion monitoring module;

[0075] S5. Select appropriate algorithm for cloud computing according to the characteristics of the various algorithm program modules;

[0076] S6. Track the athlete's historical data or compare the relevant kinematic parameters with those of world-class athletes through the real-time sports feedback module, generate intelligent analysis reports, and provide feedback and evaluation;

[0077] S7. Feedback the feedback information to the device through the cloud sending unit, the cloud sharing unit and the cloud terminal unit.

[0078] Example 3

[0079] See also Figure 1 ,The present invention provides a technical solution: a motion video image rapid feedback system based on cloud network, including a camera, a wireless transceiver, a controller, a motion recognition module, a motion monitoring module, a plurality of algorithm program modules, a cloud database, and a motion real-time feedback module;

[0080] The camera is used for video acquisition, and the captured video is simultaneously imported into the motion recognition module through the wireless transceiver;

[0081] The wireless transceiver is used to transmit video and data in real time;

[0082] The controller is used to process and analyze the video image;

[0083] The motion recognition module includes a cloud network and a cloud storage unit, wherein the cloud network is used to create a user IP to ensure personal privacy, and the cloud storage unit is used to cover a historical data repository; the motion recognition module is used to import the collected motion image video into the cloud network of the set user through the wireless transceiver, and the cloud network automatically saves the data to the cloud storage unit, and the stored content can be logged in and viewed in any device through the set IP;

[0084] The sports monitoring module is used to compare or track the technical parameters of athletes and make selections based on the different specified parameters of the events;

[0085] The multiple algorithm program modules are used to select appropriate algorithms for cloud computing according to special characteristics;

[0086] The real-time sports feedback module is used to track the athlete's historical data or compare it with the relevant kinematic parameters of world-class outstanding athletes, generate an intelligent analysis report, and feed it back to the device through the wireless transceiver.

[0087] In this embodiment, preferably, the system also includes a processor and an analyzer, the controller is electrically connected to the processor and the analyzer respectively, and the controller controls the processor and the analyzer respectively, the processor includes the multiple algorithm program modules and the motion monitoring module, and the analyzer includes big data and the motion real-time feedback module.

[0088] In this embodiment, preferably, the controller is provided with a display module, a parameter setting module and a data storage module for display, parameter setting and data storage.

[0089] In this embodiment, preferably, the cloud network is also used to capture and track the athletes in the video through the motion monitoring module, and extract specific algorithms from the multiple algorithm program modules corresponding to the project for processing.

[0090] In this embodiment, preferably, the specific algorithms in the multiple algorithm program modules include adjacent frame difference method, background difference method, optical flow method, mixed Gaussian model, Canny edge detection method, continuous frame difference method and three-frame difference method.

[0091] In this embodiment, preferably, the specific steps of performing cloud computing with the multiple algorithm program modules are: importing data into the cloud database to perform technical parameter analysis and comparison, deriving comprehensive evaluation and technical optimization suggestions, and making adjustments at any time according to user satisfaction with the results, to adjust the steps of transforming algorithms and databases until the user is satisfied.

[0092] The principles and advantages of the present invention are as follows: by setting up a camera, a wireless transceiver, a controller, a motion recognition module, a motion monitoring module, a plurality of algorithm program modules, a cloud database and a real-time motion feedback module, the problems of incomplete video, data leakage, slow feedback information, etc. that occur when scientific researchers transmit and analyze motion video images are effectively solved, and the security is effectively improved. When extracting data from dynamic video images, specific motion parameters can be accurately and real-time recorded and uploaded to the cloud network, and calculations can be performed in real time on the cloud, and relevant data can be compared and analyzed to obtain the required results, which provides convenience for scientific researchers to study videos of related sports events, effectively analyzes the sports status of athletes, provides scientific training programs, achieves the purpose of improving the sports level of athletes, and promotes the development of cloud network service motion video image processing technology.

[0093] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A cloud network-based motion video image rapid feedback system, characterized by: It includes a camera, a wireless transceiver, a controller, a motion recognition module, a motion monitoring module, a variety of algorithm program modules, a cloud database, and a motion real-time feedback module; The camera is used for video acquisition, and the captured video is simultaneously imported into the motion recognition module through the wireless transceiver; The wireless transceiver is used to transmit video and data in real time; The controller is used to process and analyze the video image; The motion recognition module includes a cloud network and a cloud storage unit, wherein the cloud network is used to create a user IP to ensure personal privacy, and the cloud storage unit is used to cover a historical data repository; the motion recognition module is used to import the collected motion image video into the cloud network of the set user through the wireless transceiver, and the cloud network automatically saves the data to the cloud storage unit, and the stored content can be logged in and viewed in any device through the set IP; The sports monitoring module is used to compare or track the technical parameters of athletes and make selections based on the different specified parameters of the events; The multiple algorithm program modules are used to select appropriate algorithms for cloud computing according to special characteristics; The real-time sports feedback module is used to track the athlete's historical data or compare it with the relevant kinematic parameters of world-class outstanding athletes, generate an intelligent analysis report, and feed it back to the device through the wireless transceiver.

2. The cloud network-based motion video image rapid feedback system according to claim 1, characterized in that: The system also includes a processor and an analyzer. The controller is electrically connected to the processor and the analyzer respectively, and the controller controls the processor and the analyzer respectively. The processor includes the multiple algorithm program modules and the motion monitoring module, and the analyzer includes big data and the real-time motion feedback module.

3. The cloud network-based motion video image rapid feedback system according to claim 1, characterized in that: The controller is provided with a display module, a parameter setting module and a data storage module for display, parameter setting and data storage.

4. The cloud network-based motion video image rapid feedback system according to claim 1, characterized in that: The cloud network is also used to capture and track athletes in the video through the motion monitoring module, and extract specific algorithms from the multiple algorithm program modules corresponding to the project for processing.

5. The cloud network-based motion video image rapid feedback system according to claim 1, characterized in that: The specific algorithms in the multiple algorithm program modules include adjacent frame difference method, background difference method, optical flow method, mixed Gaussian model, Canny edge detection method, continuous frame difference method and three-frame difference method.

6. The cloud network-based motion video image rapid feedback system according to claim 1, characterized in that: The specific steps of cloud computing by the various algorithm program modules are: importing data into the cloud database to analyze and compare technical parameters, deriving comprehensive evaluation and technical optimization suggestions, and making adjustments at any time according to user satisfaction with the results, adjusting the steps of transforming algorithms and databases until the user is satisfied.

7. The cloud network-based motion video image rapid feedback system according to claim 1, characterized in that: The real-time sports feedback module is also used to send the data analysis results to an email or download them to a computer or mobile phone in a short time for viewing, and the real-time sports feedback module is also used to keep the data of each user confidential.

8. The cloud network-based motion video image rapid feedback system according to claim 1, characterized in that: The system also includes a cloud sending unit, a cloud sharing unit and a cloud terminal unit.

9. The cloud network-based motion video image rapid feedback system according to claim 8, characterized in that: The specific steps of the system providing feedback to the motion video image include: S1. Video capture by the camera; S2. The collected video is imported into the cloud network of the motion recognition module through the wireless transceiver; S3. The cloud storage unit of the motion recognition module receives the video data covering historical data and stores it in a database; S4. Compare or track the athlete's technical parameters using cloud data through the motion monitoring module; S5. Select appropriate algorithm for cloud computing according to the characteristics of the various algorithm program modules; S6. Track the athlete's historical data or compare the relevant kinematic parameters with those of world-class athletes through the real-time sports feedback module, generate intelligent analysis reports, and provide feedback and evaluation; S7. Feedback the feedback information to the device through the cloud sending unit, the cloud sharing unit and the cloud terminal unit.

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