CN112333434A - Intelligent video analysis system - Google Patents
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- CN112333434A CN112333434A CN202011219680.8A CN202011219680A CN112333434A CN 112333434 A CN112333434 A CN 112333434A CN 202011219680 A CN202011219680 A CN 202011219680A CN 112333434 A CN112333434 A CN 112333434A
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N7/00—Television systems
- H04N7/18—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast
- H04N7/181—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast for receiving images from a plurality of remote sources
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
- G08B21/18—Status alarms
Abstract
The invention belongs to the technical field of security monitoring, and particularly relates to an intelligent video analysis system which comprises a data source, a media resource conversion module, a video analysis module, a service management module and a B/S client, wherein the data source comprises a security monitoring camera and is used for providing high-definition real-time video streams, video recording files and pictures, the media resource conversion module is connected with the data source and comprises a protocol conversion module, an equipment interconnection module, a media forwarding module and a security control module. The invention can display the position information of each monitoring device in real time in a 2D visualization mode, and play video pictures based on the position information, thereby realizing real-time passenger flow statistical data display, dynamically updating statistical data can enable users to accurately grasp the change trend of the passenger flow at every moment, displaying the current passing state and the number of passing people in real time, providing a device access management function, and realizing the functions of increasing, deleting, modifying and checking the devices.
Description
Technical Field
The invention relates to the technical field of security monitoring, in particular to an intelligent video analysis system.
Background
The development of the security monitoring industry is very rapid, the security monitoring industry can reflect a monitored object in real time, vividly and truly, the observation distance of human eyes is greatly prolonged, the function of the human eyes is expanded, the security monitoring comprises remote wireless video monitoring and wireless real-time monitoring transmission, the security monitoring is to transmit video signals in a closed loop by using optical fibers, coaxial cables or microwaves, and an independent and complete system is formed from image pickup to image display and recording.
At present, mature intelligent video analysis systems for security monitoring are available in the market, and the intelligent video analysis systems are incorporated into security monitoring systems, so that the security effect is greatly improved. However, the existing security monitoring intelligent video analysis system has single function and poor flexibility, and is not beneficial to security control and management.
Disclosure of Invention
Technical problem to be solved
Aiming at the defects of the prior art, the invention provides an intelligent video analysis system, which solves the problems that the existing security monitoring intelligent video analysis system has single function and poor flexibility and is not beneficial to security control and management.
(II) technical scheme
In order to achieve the purpose, the invention provides the following technical scheme: an intelligent video analysis system comprises a data source, a media resource conversion module, a video analysis module, a service management module and a B/S client, wherein the data source comprises a security monitoring camera and is used for providing high-definition real-time video streams, video recording files and pictures, the media resource conversion module is connected with the data source and comprises a protocol conversion module, an equipment interconnection module, a media forwarding module and a security control module, the protocol conversion module is used for realizing the conversion of a media protocol and converting the video streams provided by the data source into standard RTSP/RTMP/WS/RGB video streams, the equipment interconnection module is used for completing the access, configuration and management of a third-party monitoring camera and is convenient for centralized maintenance, the media forwarding module is used for realizing the on-demand forwarding of the media streams, and the media forwarding module is respectively connected with the video analysis module, the service management module and the B/S client, The system comprises a service management module, a B/S client, a security distribution and control module, a video analysis module, a passenger flow characteristic extraction module and a passenger flow statistical model, wherein the service management module is connected with the B/S client and used for providing standardized RGB media resources for the video analysis module and realizing H playing without plug-in at the B/S client, the security distribution and control module is used for serving the video analysis module and setting a security distribution and control area according to the security distribution and control requirements of users, the video analysis module is connected with the service management module, the video analysis module comprises a video flow analysis module, a passenger flow characteristic extraction module and a passenger flow statistical model, the video flow analysis module is used for completing intelligent analysis of monitoring videos, the passenger flow characteristic extraction module comprises passenger flow density analysis, passenger flow behavior analysis and pedestrian re-identification analysis, the passenger flow statistical model is used for carrying out structural processing on the videos, extracting required passenger flow characteristic values and carrying out statistical analysis, and the service management, the business management module is used for providing different application services for the client based on the data analysis result of the video analysis module, and the B/S client is used for providing application system presentation for the client based on a B/S mode.
As a preferred technical solution of the present invention, the media resource conversion module accesses a video stream, a video file, and a picture of a data source in an RTSP/RTMP manner.
As a preferred technical solution of the present invention, the B/S client accesses the media resource conversion module in an H mode, and the media resource conversion module supports media conversion, converts each video stream resource into an RGB stream, and provides the RGB stream to the video analysis module.
As a preferred technical scheme of the invention, the application services of the business management module comprise front-end equipment management such as authority management, NVR, IPC and the like, video analysis equipment management, streaming media management, analysis task management, task scheduling, people flow statistics, event storage and query and maps.
As a preferred embodiment of the present invention, the passenger group density analysis includes estimating the number of people in a passenger group of the input image, and outputting the image, a human number value of a designated area, and a density map of the entire map, wherein the input image is a two-dimensional RGB format image.
As a preferred technical solution of the present invention, the analyzing of the guest group behavior includes determining the group behavior of the input continuous frames, and outputting the category of the group behavior corresponding to the current frame and the position of each person in the image, where the input continuous frame image is a JPEG format image.
As a preferred technical solution of the present invention, the pedestrian re-identification analysis includes identifying a specific pedestrian with respect to an input image frame, outputting whether the current frame includes the specific pedestrian, and when the output current frame includes the specific pedestrian, indicating a position and a confidence of the pedestrian in the image, the input image frame includes two-dimensional RGB format images, one of which is an image of the pedestrian to be queried, and the other is an image frame to be processed.
(III) advantageous effects
Compared with the prior art, the invention provides an intelligent video analysis system, which has the following beneficial effects:
1. according to the intelligent video analysis system, a user can display the position information of each monitoring device in real time in a 2D visual mode, and the video pictures are played based on the position information.
2. The intelligent video analysis system realizes real-time passenger flow statistical data display, dynamically updated statistical data can enable a user to accurately grasp the change trend of passenger flow at every moment, and real-time video display of the current passing state and the number of passing people is realized.
3. The intelligent video analysis system provides an equipment access management function, realizes the functions of adding, deleting, modifying and checking the equipment, and performs centralized management and maintenance on the equipment.
4. The intelligent video analysis system can be combined with the organization structure of an enterprise to create a personnel management system and create different roles to be endowed to different users.
5. The intelligent video analysis system can inquire and count the real-time or historical passenger flow conditions of each region and each channel in a period of time, including custom statistics, daily passenger flow statistics, weekly passenger flow statistics, monthly statistics and annual statistics.
6. The intelligent video analysis system can timely carry out passenger flow early warning, when the number of customers in a certain channel or a certain area reaches a certain threshold value, the system can automatically give an alarm, relevant management personnel are informed in the first time, and necessary passenger flow limiting and guiding are timely added to the staff for running, so that the system is prevented from suffering in the bud.
Drawings
FIG. 1 is a schematic block diagram of the system of the present invention;
FIG. 2 is a schematic diagram of a system architecture of a media asset conversion module according to the present invention;
fig. 3 is a schematic system structure diagram of the video analysis module of the present invention.
In the figure: 1. a data source; 2. a media resource conversion module; 201. a protocol conversion module; 202. an equipment interconnection module; 203. a media forwarding module; 204. a security and protection deployment and control module; 3. a video analysis module; 301. a video stream analysis module; 302. a passenger flow characteristic extraction module; 303. a passenger flow statistics model; 4. a service management module; 5. and the B/S client.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are 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.
Examples
Referring to fig. 1-3, the present invention provides the following technical solutions: an intelligent video analysis system comprises a data source 1, a media resource conversion module 2, a video analysis module 3, a service management module 4 and a B/S client 5, wherein the data source 1 comprises a security monitoring camera for providing high-definition real-time video streams, video recording files and pictures, the media resource conversion module 2 is connected with the data source 1, the media resource conversion module 2 comprises a protocol conversion module 201, an equipment interconnection module 202, a media forwarding module 203 and a security control module 204, the protocol conversion module 201 is used for realizing the conversion of a media protocol and converting the video stream provided by the data source 1 into a standard RTSP/RTMP/WS/RGB video stream, the equipment interconnection module 202 is used for completing the access, configuration and management of a third-party monitoring camera, and is convenient for centralized maintenance, the media forwarding module 203 is used for realizing the on-demand forwarding of the media stream, the media forwarding module 203 is respectively connected with the video analysis module 3, the service management module 4 and the B/S client 5, and is used for providing standardized RGB media resources for the video analysis module 3, realizing plug-in-free H5 playing at the B/S client 5, the security distribution control module 204 is used for serving the video analysis module 3 and setting a security distribution control area according to the security distribution control requirement of a user, the video analysis module 3 is connected with the service management module 4, the video analysis module 3 comprises a video stream analysis module 301, a passenger stream feature extraction module 302 and a passenger stream statistical model 303, the video stream analysis module 301 is used for completing intelligent analysis of monitoring videos, the passenger stream feature extraction module 302 comprises passenger group density analysis, passenger group behavior analysis and pedestrian re-identification analysis, and the passenger stream statistical model 303 is used for carrying out structural processing on the videos, the method comprises the steps of extracting required passenger flow characteristic values, carrying out statistical analysis, connecting a service management module 4 with a B/S client 5, wherein the service management module 4 is used for providing different application services for clients based on data analysis results of a video analysis module 3, and the B/S client 5 is used for providing application system presentation for the clients based on a B/S mode.
Specifically, the media resource conversion module 2 accesses the video stream, the video file and the picture of the data source 1 by using the RTSP/RTMP method.
In this embodiment, the data source 1 includes NVR, IPC, etc., such as a high-definition network monitoring camera of haikang or dahua, which can provide a high-definition real-time video stream, and can also analyze the historical data again by using video recording files and pictures as data sources, and access the video stream by using RTSP/RTMP and other manners; and also includes some non-real-time video such as video files, pictures, etc.
Specifically, the B/S client 5 accesses the media resource conversion module 2 in the H5 manner, and the media resource conversion module 2 supports media conversion, converts each video stream resource into an RGB stream, and provides the RGB stream to the video analysis module 3.
Specifically, the application services of the service management module 4 include front-end device management for right management, NVR, IPC, and the like, video analysis device management, streaming media management, analysis task management, task scheduling, people flow statistics, event storage and query, and maps.
Specifically, the passenger group density analysis comprises the steps of estimating the number of people in the crowd of the input image, outputting the image and the numerical value of the people in the designated area, and outputting a density map of the whole image, wherein the input image is a two-dimensional RGB format image.
In this embodiment, briefly, the passenger group density analysis is to analyze the passenger group density in the designated area to obtain the approximate number and density of people in the area.
Specifically, the guest group behavior analysis includes judging group behaviors of input continuous frames, and outputting the category of the group behaviors corresponding to the current frame and the position of each person in an image, wherein the input continuous frame image is a JPEG format image.
In this embodiment, briefly, the behavior analysis of the customer group is to analyze behaviors of people in the designated area, such as smoking, running, fighting, and the like.
Specifically, the pedestrian re-identification analysis includes identifying a specific pedestrian for an input image frame, outputting whether the current frame includes the specific pedestrian, indicating the position and confidence of the pedestrian in the image when the output current frame includes the specific pedestrian, wherein the input image frame includes two-dimensional RGB format images, one of which is an image of the pedestrian to be inquired, and the other is an image frame to be processed.
In this embodiment, in brief, the pedestrian re-identification analysis is to identify pedestrians in a specified area, determine whether the pedestrians are the same person according to behavior characteristics, perform de-duplication if the pedestrians are multiple persons, or compare the persons in two pictures to determine whether the pedestrians are the same person.
The system comprises the following functions:
1) visualization large screen: displaying the position information of each monitoring device in real time in a 2D visualization mode, and playing video pictures based on the position information;
2) displaying the real-time passenger flow statistical data: counting the detailed information of the passenger flow in and out of the video from the current time to the current time, automatically refreshing the data once in real time by taking five minutes as a unit, providing a field real-time video, enabling a user to accurately grasp the change trend of the passenger flow at each moment by the dynamically updated statistical data, and displaying the current traffic state and the number of passing people by the real-time video;
3) equipment management: providing an equipment access management function, realizing the functions of adding, deleting, modifying and checking the equipment, and carrying out centralized management and maintenance on the equipment;
4) user management: the personnel management system can be created by combining the organizational structure of an enterprise, and different roles are created and given to different users;
5) and (3) query statistics: the system is used for inquiring and counting the real-time or historical passenger flow conditions of each region and each channel in a period of time, wherein the passenger flow conditions comprise custom statistics, daily passenger flow statistics, weekly passenger flow statistics, monthly statistics and annual statistics; the user-defined statistics can flexibly define the contents to be inquired according to the needs of users, and can realize the summary statistics of any time interval, the passenger flow distribution comparison of any time interval and the channel time-division statistics of any channel; the daily passenger flow statistics is based on day unit, and according to the condition input by the user, the passenger flow condition on any date can be inquired, so that the busiest 15-minute statistics, daily time-sharing passenger flow statistics, daily channel passenger flow statistics and daily synchronization passenger flow comparison can be realized; the weekly passenger flow statistics is performed by taking a week as a unit, and the condition of the specified weekly passenger flow is inquired according to the condition input by a user, so that the weekly in-out passenger flow statistics, the weekly passenger flow time-interval comparison, the weekly entrance-exit passenger flow comparison and the weekly synchronization passenger flow comparison can be realized; the monthly statistics is performed by taking a month as a unit, the condition of specified monthly passenger flow is inquired according to the condition input by a user, and daily in-out passenger flow statistics, monthly average passenger flow and monthly synchronization passenger flow comparison can be realized; the annual statistics is that the annual passenger flow distribution rule is counted by taking the year as a unit, so that annual daily passenger flow statistics, annual passenger flow statistics of every door and annual passenger flow comparison of every month can be realized;
6) passenger flow early warning: when the number of customers in a certain channel or a certain area reaches a certain threshold value, the system can automatically give an alarm, related management personnel are informed in the first time, and necessary passenger flow limiting and guiding are timely added to the staff for preventing accidents.
The working principle and the using process of the invention are as follows: the monitoring camera provides high-definition real-time video stream, video recording files and pictures as a data source 1, the media resource conversion module 2 is used for collecting data of the data source 1, the protocol conversion module 201 accesses the video stream, the video files and the pictures of the data source 1 in an RTSP mode to realize conversion of a media protocol, the data source 1 provides the video stream to be converted into standard RTSP/RTMP/WS/RGB video stream, the equipment interconnection module 202 completes access, configuration and management of a third-party monitoring camera, centralized maintenance is convenient, the media stream is forwarded as required by the media forwarding module 203 to provide standardized RGB media resources for the video analysis module 3, H5 playing without plug-in is realized at the B/S client 5, the security control module 204 is used for serving the video analysis module 3, and according to security control requirements of users, the method mainly comprises the steps of setting a security control distribution area, finishing intelligent analysis of monitoring videos by a video analysis module 3, mainly comprising passenger group density analysis, passenger group behavior analysis, pedestrian re-identification and other intelligent analysis, carrying out structural processing on the videos according to various intelligent analysis models, extracting required passenger flow characteristic values, carrying out statistical analysis, providing different application services for clients by a service management module 4 based on data analysis results of the video analysis module 3, mainly comprising video playing, equipment management, task management (the areas, time and video sources of intelligent analysis can be appointed), data storage and visualization of various intelligent data, displaying the position information of each monitoring device in real time in a 2D visualization mode by the clients on a B/S client 5, and playing video pictures based on the position information.
Finally, it should be noted that: although the present invention has been described in detail with reference to the foregoing embodiments, it will be apparent to those skilled in the art that changes may be made in the embodiments and/or equivalents thereof without departing from the spirit and scope of the invention. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (7)
1. An intelligent video analysis system comprises a data source (1), a media resource conversion module (2), a video analysis module (3), a service management module (4) and a B/S client (5), and is characterized in that: the data source (1) comprises a security monitoring camera and is used for providing high-definition real-time video streams, video recording files and pictures, the media resource conversion module (2) is connected with the data source (1), the media resource conversion module (2) comprises a protocol conversion module (201), an equipment interconnection module (202), a media forwarding module (203) and a security control module (204), the protocol conversion module (201) is used for realizing conversion of a media protocol and converting the video streams provided by the data source (1) into standard RTSP/RTMP/WS/RGB video streams, the equipment interconnection module (202) is used for completing access, configuration and management of a third-party monitoring camera and is convenient to maintain in a centralized manner, the media forwarding module (203) is used for realizing on-demand forwarding of the media streams, and the media forwarding module (203) is respectively connected with the video analysis module (3), The service management module (4) is connected with the B/S client (5) and is used for providing standardized RGB media resources for the video analysis module (3), the B/S client (5) can play the media without plug-in H5, the security distribution control module (204) is used for serving the video analysis module (3) and setting a security distribution control area according to the security distribution control requirement of a user, the video analysis module (3) is connected with the service management module (4), the video analysis module (3) comprises a video stream analysis module (301), a passenger stream feature extraction module (302) and a passenger stream statistical model (303), the video stream analysis module (301) is used for completing intelligent analysis of monitoring videos, the passenger stream feature extraction module (302) comprises passenger group density analysis, passenger group behavior analysis and pedestrian re-identification analysis, and the passenger stream statistical model (303) is used for carrying out structural processing on the videos, the method comprises the steps of extracting required passenger flow characteristic values, carrying out statistical analysis, connecting a business management module (4) with a B/S client (5), providing different application services for clients based on data analysis results of a video analysis module (3) by the business management module (4), and providing application system presentation for the clients based on a B/S mode by the B/S client (5).
2. The intelligent video analysis system of claim 1, wherein: the media resource conversion module (2) accesses the video stream, the video file and the picture of the data source (1) by using an RTSP/RTMP mode.
3. The intelligent video analysis system of claim 1, wherein: the B/S client (5) accesses the media resource conversion module (2) in an H5 mode, the media resource conversion module (2) supports media conversion, and converts each video stream resource into RGB streams to be provided to the video analysis module (3).
4. The intelligent video analysis system of claim 1, wherein: the application services of the business management module (4) comprise front-end equipment management such as authority management, NVR (network video recorder), IPC (Internet protocol computer) and the like, video analysis equipment management, streaming media management, analysis task management, task scheduling, people flow statistics, event storage and query and maps.
5. The intelligent video analysis system of claim 1, wherein: and the passenger group density analysis comprises the steps of estimating the number of people in the crowd of the input image, outputting the image and the number of people in the designated area, and outputting a density map of the whole map, wherein the input image is a two-dimensional RGB format image.
6. The intelligent video analysis system of claim 1, wherein: the guest group behavior analysis comprises judging group behaviors of input continuous frames, and outputting the type of the group behaviors corresponding to the current frame and the position of each person in an image, wherein the input continuous frame image is a JPEG (joint photographic experts group) format image.
7. The intelligent video analysis system of claim 1, wherein: the pedestrian re-identification analysis comprises the steps of identifying specific pedestrians for input image frames, outputting whether the current frame contains the specific pedestrians or not, indicating the position and the confidence degree of the pedestrian in the image when the output current frame contains the specific pedestrians, wherein the input image frames comprise two-dimensional RGB format images, one of the two-dimensional RGB format images is a pedestrian image to be inquired, and the other image frame is an image frame to be processed.
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