Remote monitoring information system based on picture monitoring

Abstract

The invention relates to the technical field of remote monitoring, and discloses a remote monitoring information system based on picture monitoring, which comprises a remote monitoring module, an analysis and capture module and an information integration module. According to the remote monitoring information system, a target data set, a dynamic data set and a static data set are collected through a remote monitoring module, an analysis and capture module is provided with a preprocessing unit, a key capture unit and a target tracking unit, and the preprocessing unit calculates and generates a wide capture data set, pays attention to all monitoring pictures in real time and rapidly screens and captures the monitoring pictures; the key capturing unit further calculates and generates an accurate capturing data set, secondary low-speed capturing is used for review and analysis, key images captured through algorithm optimization are not prone to mistakes and omissions and high in fault-tolerant rate, and the target tracking unit calculates and generates a tracking capturing data set, integrates a real-time image and a snapshot image of a target person and improves the tracking accuracy. The information integration module generates a wonderful collection and integration report, and the utilization rate of resources for autonomously integrating picture information is high.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of remote monitoring, in particular to a remote monitoring information system based on picture monitoring. BACKGROUND

[0002] In modern sports events, using high-definition photography technology to live broadcast has become an important means to improve the quality of the game, ensure fairness, and enhance the audience experience. Among them, the remote monitoring system as the core technology is gradually changing the organization and viewing ways of sports events. The remote monitoring system greatly improves the watchability of the game, and the audience is no longer limited by the on-site perspective and position, and can experience the charm of the game from all angles through multi-angle and high-definition pictures. The core function of the remote monitoring system is real-time monitoring and data analysis. It captures the game pictures through high-definition cameras installed in various corners of the venue, and then uses advanced data transmission technology to transmit these pictures to the control center in real time. The technical personnel in the control center can switch, enlarge, and reduce the pictures to ensure that the audience can watch the game from the best angle. At the same time, the system can also analyze the performance data of the athletes in real time, such as speed, distance, and heart rate, to provide instant feedback information for the coaching team. The remote monitoring system also integrates artificial intelligence algorithms to automatically identify key moments and important events in the game, thereby realizing precise live editing. The remote monitoring system also provides valuable data resources for event organizers, which helps them optimize the game process and improve the training plan for athletes.

[0003] At present, the traditional remote monitoring information system has real-time monitoring of the picture. When important pictures of key moments are monitored, the monitoring personnel need to pay attention to the console picture in real time and timely switch, enlarge, and reduce the picture. Human negligence can easily lead to important events being ignored, and the fault tolerance is low. Moreover, in actual use, the remote monitoring picture information cannot realize the informatization and dataization of resources, resulting in low resource utilization, the need for manual integration and analysis, and difficulty in meeting the requirements of high-specification events. SUMMARY

[0004] (I) Technical problems solved In view of the shortcomings of the prior art, the present application provides a remote monitoring information system based on picture monitoring, which has the advantages of high fault tolerance for capturing key pictures, high resource utilization for autonomous integration of picture information, etc. The problems of low fault tolerance for important nodes of the picture in the traditional remote monitoring information system, low resource utilization of picture information, and inability to realize automatic integration and analysis are solved.

[0005] (II) Technical solutions To achieve the above objectives, the present invention provides the following technical solution: a remote monitoring information system based on video surveillance, comprising a remote monitoring module, an analysis and capture module, and an information integration module; The remote monitoring module includes a remote target unit, a high-definition camera unit, and a static capture unit. The remote target unit collects target datasets via a network connection to a central control console, numbers them, and then transmits them to the analysis and capture module. The high-definition camera unit collects dynamic datasets in real time via a network connection to a high-definition camera, numbers them, and then transmits them to the analysis and capture module. The static capture unit collects static datasets via a network connection to a high-definition capture device, numbers them, and then transmits them to the analysis and capture module. The remote monitoring module is connected to the analysis and capture module via a network. The analysis and capture module includes a preprocessing unit, a key capture unit, and a target tracking unit. The preprocessing unit collects a reference dataset via a network connection to a central control console, numbers the datasets, and combines them with dynamic and static datasets to calculate and generate a broad capture dataset. The data is then transmitted to a key capture unit, which, based on the extensive capture data set... Dynamic datasets, static datasets, and reference datasets are used to calculate and generate precisely captured datasets. The data is then transmitted to the target tracking unit, which uses the precisely captured data set. And the target dataset, calculate and generate tracking capture data sets. The data is then transmitted to the information integration module, and the analysis and capture module is connected to the information integration module via a network. The information integration module includes a "highlights" unit and a "target feedback" unit. The "highlights" unit is based on precisely captured data sets. and tracking capture data group The network-connected video editing software creates highlight reels, which are then transmitted over the network to the central control console. The target feedback unit, based on precisely captured data sets... Tracking and capturing data groups The system analyzes the target dataset and reference dataset, generates an integrated report, and transmits it to the central console via the network.

[0006] Preferably, the remote target unit numbers all key figures in the sports event based on the characteristics of the target dataset, wherein the target dataset is numbered as follows: , , ... .

[0007] Preferably, the high-definition camera unit numbers the real-time footage from different angles during the sports event based on the characteristics of the dynamic dataset, wherein the dynamic dataset is numbered as follows: , 、 、... 。

[0008] Preferably, the static snapshot unit numbers the snapshot pictures of the key decisive positions in the sports event site according to the static data set features, and the static data set number is 、 、 、... 。

[0009] Preferably, the reference data set is composed of reference key dynamic data set, reference key static data set and reference data statistical standard, the pre-processing unit numbers the reference key dynamic data set, the reference key static data set and the reference data statistical standard according to the reference data set features, and the reference data set number is 、 and .

[0010] Preferably, the pre-processing unit calculates and generates the extensive capture data group according to the dynamic data set, the static data set and the reference data set, and the calculation formula is as follows: In the formula, represents the extensive capture data group, represents the time period of the unified standard in the monitoring capture algorithm, represents the sorting and combination of the real-time pictures and the snapshot pictures of the dynamic data set and the static data set in the unified time period, represents the combination of the key dynamic actions in the reference key dynamic data set and the key static actions in the reference key static data set, represents the extensive capture of the real-time pictures and the snapshot pictures in the unified time period with the key dynamic actions and the key static actions in the reference data set as the identification standard.

[0011] Preferably, the key capture unit calculates and generates the accurate capture data group according to the extensive capture data group, the dynamic data set, the static data set and the reference data set, and the calculation formula is as follows: In the formula, represents the accurate capture data group, represents the slow capture constant for the dynamic data set and the static data set in the accurate capture algorithm, represents the secondary slow capture of the real-time pictures in the extensive capture data group with the key dynamic actions in the reference key dynamic data set as the identification standard,​ represents the secondary slow capture of the snapshot pictures in the extensive capture data group with the key static action in the reference key static data set as the identification standard.

[0012] Preferably, the target tracking unit calculates the tracking capture data group and the target data set according to the accurate capture data group The calculation formula is as follows: In the formula, represents the tracking capture data group, represents the target tracking of the real-time pictures and the snapshot pictures in the accurate capture data group from the key figure images in the interval 1 to n in the target data set.

[0013] Preferably, the highlight unit sorts the accurate capture data group and the capture data group according to the unified standard time period in the monitoring capture algorithm , and switches, enlarges, and reduces the real-time pictures and the snapshot pictures through the network connection video editing software to generate the highlight.

[0014] Preferably, the target feedback unit performs statistics on the accurate capture data group and the tracking capture data group of all the key figures in the target data set with the data statistics standard as the template, generates an integrated report, and transmits the integrated report to the central control console.

[0015] Compared with the prior art, the present application provides a remote monitoring information system based on picture monitoring, which has the following beneficial effects: 1、The remote monitoring module of the present application sets the remote target unit, the high-definition camera unit, and the static snapshot unit to collect the target data set, the dynamic data set, and the static data set, and the analysis capture module sets the preprocessing unit, the key capture unit, and the target tracking unit, the preprocessing unit calculates the extensive capture data group , and pays attention to all the monitoring pictures in real time through the optimization algorithm, quickly screens the key action process in a large amount of video data and photo data, avoids important events in the event from being ignored artificially, and the key capture unit further calculates the accurate capture data group , the real-time pictures and the snapshot pictures in the extensive capture data group are captured twice slowly, secondary review and analysis are performed on high-specification events and emergencies, rapid response integration is performed, and the algorithm optimizes the capture of key pictures and is not easy to miss or has a high fault tolerance.

[0016] 2、The analysis capture module of the present application sets the target tracking unit to calculate the tracking capture data group . The target person performing the key action in the accurate capture data set is taken as the object, the real-time picture and the snapshot picture of the target person are integrated, the information integration module sets a highlight moment unit and a target feedback unit, the highlight moment unit takes a unified standard time period in the monitoring capture algorithm The accurate capture data set is sorted The capture data set is sorted , and the real-time picture and the snapshot picture are switched, enlarged or reduced by connecting the video clip software through the network to generate the highlight set and then transmitted to the central control console through the network, the visual effect of the live picture of the event is enriched, and the watchability of the whole event is improved, the target feedback unit takes the reference data statistical standard The accurate capture data set corresponding to all key persons in the target data set is taken as the template The tracking capture data set is taken as the template The performance data of the athletes in the competition process is autonomously integrated, the systematic feedback information is provided for the event personnel, and the picture information resource utilization rate is high. BRIEF DESCRIPTION OF DRAWINGS

[0017] Figure 1 The figure is a structural system diagram of the application. DETAILED DESCRIPTION

[0018] The technical solutions in the embodiments of the application will be clearly and completely described below with reference to the drawings in the embodiments of the application. Obviously, the described embodiments are only part of the embodiments of the application, rather than all the embodiments. Based on the embodiments in the application, all other embodiments obtained by those skilled in the art without creative labor fall within the protection scope of the application.

[0019] Please refer to Figure 1 A remote monitoring information system based on picture monitoring, comprising a remote monitoring module, an analysis capture module and an information integration module; The remote monitoring module comprises a remote target unit, a high-definition camera unit and a static snapshot unit, the remote target unit collects a target data set by connecting the central control console through the network, numbers all key person images in the sports event and then transmits them to the analysis capture module, the target data set is numbered as 、 、 ,... The number corresponds to the person image data of the athletes, coaches, referees or spectators in the sports event, the high-definition camera unit collects a dynamic data set by connecting a high-definition camera through the network, numbers real-time pictures in different angles in the sports event process and then transmits them to the analysis capture module, the dynamic data set is numbered as , , ,... , the number corresponds to the real-time picture data of multiple high-definition cameras at different angles during the event, the static snapshot unit collects static data sets through network connection with high-definition snapshot instruments, and the snapshot pictures of key winning positions in the sports event venue are numbered and transmitted to the analysis capture module. The static data set is numbered as , , , ... , the number corresponds to the snapshot picture data of the rebound area, the goal area or the finish line position in the sports event venue, and the remote monitoring module connects the analysis capture module through the network; The analysis capture module includes a preprocessing unit, a key capture unit and a target tracking unit. The preprocessing unit collects reference data sets through network connection with the central control console. The reference data set is composed of reference key dynamic data set, reference key static data set and reference data statistical standard. After numbering, it is combined with dynamic data set and static data set to calculate and generate extensive capture data group transmitted to the key capture unit. The reference data set is numbered as , and , and the calculation formula is as follows: In the formula, represents the extensive capture data group, represents the time period of the unified standard in the monitoring capture algorithm, represents the real-time picture and snapshot picture of dynamic data set and static data set in the unified time period, represents the combination of key dynamic action in reference key dynamic data set and key static action in reference key static data set, represents the extensive capture of real-time picture and snapshot picture in the unified time period with key dynamic action and key static action in reference data set as the identification standard, and the calculation formula of extensive capture data group , all monitoring pictures are paid attention to in real time through optimization algorithm, and key action process is quickly screened and captured in a large amount of video data and photo data, so that important events in the event are not ignored artificially; The key capture unit calculates and generates accurate capture data group , dynamic data set, static data set and reference data set, and transmits it to the target tracking unit. The calculation formula is as follows: In the formula, represents the accurate capture data group, This represents the slow capture constant in the precise capture algorithm for dynamic and static datasets. This indicates that the key dynamic actions in the reference key dynamic dataset are used as the identification criteria to perform secondary slow-motion capture on real-time footage from a wide-capture dataset. This indicates that, based on key static actions in the reference key static dataset as the recognition standard, a second slow-motion capture is performed on the captured images in the broad capture data group, and based on the precise capture data group... Secondary slow capture extensively captures real-time and snapshot images from the data set, enabling secondary review and analysis of high-profile events and emergencies, rapid response and integration, and algorithm optimization to capture key images with low error rate and high fault tolerance. The target tracking unit uses precisely captured data sets. And the target dataset, calculate and generate tracking capture data sets. The data is then transmitted to the information integration module, where it is calculated using the following formula: In the formula, Indicates the tracking and capture of data groups. This refers to target tracking based on key figures within the range 1 to n in the target dataset, combined with real-time and captured images from the precise capture data set. The target person is the subject of the data set that accurately captures key actions, and the real-time footage and snapshot footage of the target person are integrated. The analysis and capture module integrates the network connection information through the network connection information module, and combines the target dataset, reference dataset, and precise capture data set. and capture data group Transmitted to the information integration module; The information integration module includes a "Highlights" unit and a "Target Feedback" unit. The "Highlights" unit uses a standardized time period as defined in the monitoring and capture algorithm. Sort precisely captures data groups and capture data group The system connects to a video editing software via the network to switch, zoom in, and zoom out on real-time footage and captured images to create highlight reels, which are then transmitted to the central control console. It autonomously integrates the video information, enriching the visual effects of the live broadcast and enhancing the overall viewing experience. The target feedback unit uses reference data statistical standards. The template is for precisely capturing data sets corresponding to all key figures in the target dataset. and tracking capture data group After statistical analysis and the generation of integrated reports, the data is transmitted to the central control console. The system autonomously integrates the performance data of athletes during the competition, providing systematic feedback information to event personnel, resulting in high resource utilization.

[0020] While embodiments of the application have been shown and described, it is to be understood that the application is not limited to the details of the embodiments described, since numerous changes, modifications, substitutions and variations can be made thereto without departing from the spirit and scope of the application as defined by the appended claims and their equivalents.

Claims

1. A remote monitoring information system based on picture monitoring, characterized in that: It comprises a remote monitoring module, an analysis capturing module and an information integration module; The remote monitoring module comprises a remote target unit, a high-definition camera unit and a static snapshot unit, the remote target unit collects target data sets through network connection with a central control console, and transmits the numbered target data sets to the analysis capturing module, the high-definition camera unit collects dynamic data sets through network connection with a high-definition camera, and transmits the numbered dynamic data sets to the analysis capturing module, the static snapshot unit collects static data sets through network connection with a high-definition snapshot instrument, and transmits the numbered static data sets to the analysis capturing module, and the remote monitoring module is connected with the analysis capturing module through network connection; The analysis capture module comprises a preprocessing unit, a key capture unit and a target tracking unit, the preprocessing unit collects reference data sets through a network connection central control console, numbers them and combines dynamic data sets and static data sets, and calculates to generate extensive capture data groups which are transmitted to the key capture unit, the key capture unit calculates to generate accurate capture data groups according to the extensive capture data groups , dynamic data sets, static data sets and reference data sets which are transmitted to the target tracking unit, the target tracking unit calculates to generate tracking capture data groups according to the accurate capture data groups and target data sets which are transmitted to the information integration module, the analysis capture module is connected to the information integration module through a network The information integration module includes a highlight unit and a target feedback unit, the highlight unit generates highlight sets according to the accurate capture data group and the tracking capture data group The network connection video clip software generates highlights, and transmits the highlights to the central control console through the network, the target feedback unit generates an integrated report according to the accurate capture data group , the tracking capture data group , the target data set and the reference data set, and transmits the integrated report to the central control console through the network.

2. A remote monitoring information system based on picture monitoring according to claim 1, characterized in that: The remote target unit numbers all key figures in the sports event according to the target data set characteristics, the target data set number is 、 、 、... .

3. A remote monitoring information system based on picture monitoring according to claim 2, characterized in that: The high-definition camera unit numbers real-time pictures of different angles in the process of sports events according to dynamic data set characteristics, and the dynamic data set number is 、 、 、... .

4. A remote monitoring information system based on picture monitoring according to claim 3, characterized in that: The static snapshot unit numbers the snapshot pictures of the key winning positions in the sports event site according to the static data set features, and the static data set number is , , , .

5. A remote monitoring information system based on picture monitoring according to claim 4, characterized in that: The reference data set is composed of a reference key dynamic data set, a reference key static data set and a reference data statistical standard, the pre-processing unit numbers the reference key dynamic data set, the reference key static data set and the reference data statistical standard according to the reference data set characteristics, and the reference data set number is , and .

6. A remote monitoring information system based on picture monitoring according to claim 5, characterized in that: The pre-processing unit computes a wide capture data set from the dynamic data set, the static data set and the reference data set with the following formula: In the formula, represents a wide capture data set, represents a time period for monitoring a unified standard in a capture algorithm, represents sorting and combining real-time pictures and snapshot pictures of dynamic data sets and static data sets in a unified time period, represents combining a key dynamic action in a reference key dynamic data set with a key static action in a reference key static data set, represents wide capture of real-time pictures and snapshot pictures in a unified time period with the key dynamic action and the key static action in the reference data set as the identification standard.

7. A remote monitoring information system based on picture monitoring according to claim 6, characterized in that: The key capture unit calculates the accurate capture data set from the extensive capture data set , the dynamic data set, the static data set and the reference data set , and the calculation formula is as follows: In the formula, represents the accurate capture data set, represents a slow capture constant in the accurate capture algorithm for the dynamic data set and the static data set, represents a secondary slow capture for a real-time picture in the extensive capture data set with reference to the key dynamic action in the key dynamic data set as the identification standard, represents a secondary slow capture for a snapshot picture in the extensive capture data set with reference to the key static action in the key static data set as the identification standard.

8. A remote monitoring information system based on picture monitoring according to claim 7, characterized in that: The target tracking unit calculates a generated tracking capture data set from the accurate capture data set and the target data set, according to the following formula: In the formula, indicates tracking the capture data set, indicates target tracking from the key figure image in the interval 1 to n in the target data set to the real-time picture and snapshot picture in the accurate capture data set.

9. A remote monitoring information system based on picture monitoring according to claim 8, characterized in that: The highlight unit monitors a uniform standard time period in the capture algorithm The sorted accurate capture data set And the capture data set And the highlight set is generated by switching, zooming in, zooming out, and capturing real-time pictures through the network connection video clip software.

10. A remote monitoring information system based on picture monitoring according to claim 8, characterized in that: The target feedback unit statistically processes the reference data set against the refined capture data set for all key figures in the target data set and the tracking capture data set to generate an integrated report which is transmitted to the central console.

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