CN110879964A - Large scene density analysis system and method based on three-dimensional geographic information - Google Patents
Large scene density analysis system and method based on three-dimensional geographic information Download PDFInfo
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Abstract
The embodiment of the invention relates to a large scene density analysis system and a method based on three-dimensional geographic information, wherein the system comprises the following steps: the video fusion unit is used for splicing and fusing the wide-area scenes of the scattered video monitoring pictures shot by the monitoring camera; the position intelligent analysis unit is used for analyzing people or vehicles in the scattered video monitoring pictures, carrying out data aggregation on the analysis results, and carrying out position fusion on the aggregated data and the three-dimensional geographic information through a position intelligent analysis algorithm to form density data of the people or vehicles in a wide-area scene based on the three-dimensional geographic information; and the density analysis unit is used for analyzing the density data and displaying a density analysis result. The technical scheme provided by the application can provide overall, visual and global situation perception and scientific decision basis for aspects such as city management, daily patrol, emergency disposal and the like.
Description
Technical Field
The application relates to the technical field of data processing, in particular to a large scene density analysis system and method based on three-dimensional geographic information.
Background
With the coming of big data era, video monitoring and intelligent video analysis play a key role in various social security outstanding problems in urban development. While the number of monitoring cameras and the intelligent analysis system are continuously expanding, the method also faces a serious current situation problem: video monitoring pictures are scattered and isolated, video analysis data is one-sided, the position is not clear, and integral visual control cannot be formed. Therefore, how to manage the camera and the intelligent analysis dynamics more intuitively and clearly becomes a key direction for urban application in terms of extraction analysis and prediction of mass data.
At present, the monitoring informatization problem to be solved is as follows:
(1) video monitoring pictures are mutually split, only independent video pictures based on a single camera cannot reflect and restore real scene information, and macroscopic integral observation cannot be formed.
(2) The intelligent analysis data is dispersed and isolated, only one picture can be analyzed, a large amount of manpower and time are spent for research and judgment, the efficiency is low, the workload is large, and the whole time event venation cannot be formed.
(3) Video and intelligent analysis data cannot be matched with geographic information positions, and accurate dynamic data perception of large urban scenes cannot be formed.
Disclosure of Invention
The application aims to provide a large scene density analysis system and method based on three-dimensional geographic information, which can realize presentation and trend prediction of intelligent analysis data of a large scene and provide an integral, visual and global situation perception and scientific decision basis for aspects such as city management, daily patrol, emergency and emergency treatment.
In order to achieve the above object, the present application provides a large scene density analysis system based on three-dimensional geographic information, the system includes a video fusion unit, a position intelligent analysis unit, and a density analysis unit, wherein: the video fusion unit is used for splicing and fusing the wide area scenes of the scattered video monitoring pictures shot by the monitoring camera; the position intelligent analysis unit is used for analyzing people or vehicles in the scattered video monitoring pictures, carrying out data aggregation on the analysis results, and carrying out position fusion on the aggregated data and the three-dimensional geographic information through a position intelligent analysis algorithm to form density data of the people or vehicles in a wide-area scene based on the three-dimensional geographic information; and the density analysis unit is used for analyzing the density data and displaying a density analysis result.
Further, the system also comprises a video application gateway, and the video application gateway realizes the access of the video monitoring equipment and the forwarding of the streaming media through a GB28181 protocol or an SDK mode.
Further, the intelligent analysis camera is used for analyzing the number and the positions of people or vehicles in the scattered video monitoring pictures.
Further, the video fusion unit includes:
and the environment reconstruction module is used for acquiring the real coordinate information of the urban space in the scattered video monitoring pictures, and matching and fusing and displaying the real coordinate information of the urban space and the three-dimensional geographic information of the city in a wide-area scene so as to reconstruct the three-dimensional virtual geographic environment of the city.
Further, the location intelligent analysis unit includes:
and the re-matching module is used for mapping each pixel position coordinate identified in the single picture to the three-dimensional geographic information scene through a unified three-dimensional geographic information space-time frame, and calculating the number and the position of people or vehicles in the single picture based on the three-dimensional geographic information scene.
Further, the video fusion unit includes:
and the splicing module is used for splicing the acquired images of the plurality of video monitoring pictures by adopting a feature-based image matching and fusion algorithm so as to splice and fuse the dispersed video monitoring pictures in a three-dimensional wide-area scene.
The system further comprises an intelligent analysis data gateway, wherein the intelligent analysis data gateway is used for acquiring an intelligent analysis data result of the front end, and the intelligent analysis data result comprises the number and the position of people or vehicles formed after the intelligent analysis is carried out on the video monitoring picture; and mapping the position coordinates of each pixel in the image to a three-dimensional geographic information scene under a three-dimensional geographic information space-time frame, and uniformly converging the number and position data of people or vehicles analyzed by the intelligent analysis camera.
In order to achieve the above object, the present application further provides a large scene density analysis method based on three-dimensional geographic information, the method including: splicing and fusing wide-area scenes of scattered video monitoring pictures shot by a monitoring camera; analyzing people or vehicles in the scattered video monitoring pictures, performing data aggregation on the analysis results, and performing position fusion on the aggregated data and the three-dimensional geographic information through a position intelligent analysis algorithm to form density data of the people or vehicles in a wide-area scene based on the three-dimensional geographic information; and analyzing the density data and displaying a density analysis result.
Further, the splicing and fusion of the wide-area scenes of the dispersed video monitoring pictures shot by the monitoring cameras comprises the following steps:
and splicing the acquired images of the plurality of video monitoring pictures by adopting a feature-based image matching and fusion algorithm so as to splice and fuse the dispersed video monitoring pictures in a three-dimensional wide-area scene.
Further, analyzing the people or the vehicles in the scattered video monitoring pictures, and performing data aggregation on the analysis results comprises:
acquiring an intelligent analysis data result of the front end, wherein the intelligent analysis data result comprises the number and position data of people or vehicles formed after the intelligent analysis is carried out on the video monitoring picture;
and mapping the position coordinates of each pixel in the image to a three-dimensional geographic information scene under a three-dimensional geographic information space-time frame, and uniformly converging the number and position data of people or vehicles analyzed by the intelligent analysis camera.
Therefore, according to the technical scheme provided by the application, the video application gateway is used for acquiring the video pictures monitored by the camera, so that the real and accurate coordinate positions of a plurality of video pictures in urban spaces such as longitude, latitude, altitude and the like are realized, the large scene fusion display is realized with urban three-dimensional geographic information, the urban three-dimensional virtual geographic environment is reconstructed, and the dynamic perception of urban wide area three-dimensional geographic information scene videos is realized. The intelligent analysis data is obtained through the intelligent analysis data gateway, and intelligent analysis data of the number and the positions of people or vehicles are formed mainly by intelligent analysis of monitoring video pictures. Meanwhile, the number and position data of people or vehicles analyzed by the intelligent analysis camera are uniformly gathered, and finally, the density analysis and presentation of the people or vehicles in the large scene of the urban three-dimensional geographic information with the uniform space-time reference are formed through a position intelligent analysis algorithm and application, so that dynamic perception data and trend prediction in the urban three-dimensional geographic information scene are realized.
Drawings
Fig. 1 is a schematic structural diagram of a large scene density analysis system based on three-dimensional geographic information in an embodiment of the present application;
fig. 2 is a schematic step diagram of a large scene density analysis method based on three-dimensional geographic information in the embodiment of the present application.
Detailed Description
In order to make those skilled in the art better understand the technical solutions in the present application, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments. All other embodiments obtained by a person of ordinary skill in the art without any inventive work based on the embodiments in the present application shall fall within the scope of protection of the present application.
A three-dimensional geographic information large-scene video application technology is oriented to the field of traditional video security monitoring, and aims at how to form an integral, visual and wide-area dynamic video and intelligent analysis data perception under a large urban scene to realize dynamic intelligent data visual monitoring of the three-dimensional geographic information large scene, so that the dynamic intelligent data visual monitoring becomes an important means for city space-time data situation perception, a city three-dimensional visual scene situation graph is constructed, and understanding and prediction can be more effectively achieved.
The method has the advantages that the influence factors of various subjects are modeled and analyzed through position intelligence, artificial intelligence is continuously optimized, the space-time unification of city data and city scenes is realized, the information islands of various systems are broken, the application value of the city data is improved, and the accurate perception, understanding and prediction of the space-time situation of the city are finally realized.
Specifically, referring to fig. 1, the large scene density analysis system based on three-dimensional geographic information provided in the present application may include a video fusion unit, a position intelligent analysis unit, and a density analysis unit, where:
the video fusion unit is used for splicing and fusing wide-area scenes of the scattered video monitoring pictures shot by the monitoring camera;
the position intelligent analysis unit is used for analyzing people or vehicles in the scattered video monitoring pictures, carrying out data aggregation on the analysis results, and carrying out position fusion on the aggregated data and the three-dimensional geographic information through a position intelligent analysis algorithm to form density data of the people or vehicles in a wide-area scene based on the three-dimensional geographic information;
and the density analysis unit is used for analyzing the density data and displaying a density analysis result.
In one embodiment, the system further includes a video application gateway, where the video application gateway implements access of the video monitoring device and forwarding of the streaming media by means of GB28181 or sdk (software Development kit).
In one embodiment, the intelligent analysis camera is configured to analyze the number and location of people or vehicles in the dispersed video surveillance images.
In one embodiment, the video fusion unit comprises:
and the environment reconstruction module is used for acquiring the real coordinate information of the urban space in the scattered video monitoring pictures, and matching and fusing and displaying the real coordinate information of the urban space and the three-dimensional geographic information of the city in a wide-area scene so as to reconstruct the three-dimensional virtual geographic environment of the city.
In one embodiment, the location intelligent analysis unit includes:
and the re-matching module is used for mapping each pixel position coordinate identified in the single picture to the three-dimensional geographic information scene through a unified three-dimensional geographic information space-time frame, and calculating the number and the position of people or vehicles in the single picture based on the three-dimensional geographic information scene.
In one embodiment, the video fusion unit comprises:
and the splicing module is used for splicing the acquired images of the plurality of video monitoring pictures by adopting a feature-based image matching and fusion algorithm so as to splice and fuse the dispersed video monitoring pictures in a three-dimensional wide-area scene.
In one embodiment, the system further comprises an intelligent analysis data gateway, wherein the intelligent analysis data gateway is used for acquiring an intelligent analysis data result of the front end, and the intelligent analysis data result comprises data of the number and the position of people or vehicles formed after the intelligent analysis is performed on the video monitoring picture; and mapping the position coordinates of each pixel in the image to a three-dimensional geographic information scene under a three-dimensional geographic information space-time frame, and uniformly converging the number and position data of people or vehicles analyzed by the intelligent analysis camera.
In a specific application scenario, the above scheme may be implemented as follows:
video fusion of three-dimensional geographic information scenes is achieved through a monitoring camera;
carrying out intelligent analysis on the person or the vehicle with a single camera picture on the video of the intelligent analysis camera through an intelligent analysis data gateway;
the result of the person or the vehicle with the single picture analyzed by the intelligent analysis camera is subjected to data aggregation through an intelligent analysis data gateway;
and the intelligent analysis data of the person or the vehicle with a single picture is fused and matched with the accurate position of the three-dimensional geographic information through a position intelligent analysis algorithm to form the density analysis presentation of the person or the vehicle based on the large scene of the three-dimensional geographic information.
The invention realizes that a three-dimensional geographic information technology is taken as a core bottom layer, and monitoring videos and intelligent analysis data are integrated in a large-scene wide area through a position intelligent algorithm and application, solves the problems that the traditional human or vehicle density analysis can only be based on a single video picture, analyzes one plane, cannot be accurately combined with a geographic position and the like, realizes the space-time unified fusion of the video picture, the density analysis data and a three-dimensional geographic information scene, realizes the integral, visual, ordered and dynamic large-scene density sensing and analysis application, and finally forms a density analysis system and a method of a wide-area three-dimensional geographic information large scene based on a city.
In a three-dimensional geographic information scene of a city, the monitoring video pictures and intelligent analysis data are accurately matched in position, intelligent analysis data presentation and trend prediction of a large scene are formed through intelligent position application, and an integral, visual and global situation perception and scientific decision basis are provided for aspects of city management, daily inspection, emergency treatment and the like.
The large scene density analysis system of three-dimensional geographic information comprises two modules: the system comprises a three-dimensional geographic information video fusion module and a three-dimensional geographic information position intelligent analysis module. The detailed technical scheme can be summarized into the following two modules:
1. the three-dimensional geographic information video fusion module comprises:
through the video application gateway, the monitoring video pictures of the camera are obtained, the real and accurate coordinate positions of a plurality of video pictures in urban space such as longitude, latitude, altitude and the like are realized, large scene fusion display is realized with urban three-dimensional geographic information, an urban three-dimensional virtual geographic environment is reconstructed, and urban wide area three-dimensional geographic information scene video dynamic perception is realized.
2. Three-dimensional geographic information position intelligent analysis:
intelligent analysis data are obtained through an intelligent analysis data gateway, and intelligent analysis data of the number and the positions of people or vehicles are formed by intelligent analysis of monitoring video pictures; meanwhile, the number and position data of people or vehicles analyzed by the intelligent analysis camera are uniformly gathered, and finally, the density analysis and presentation of the people or vehicles in the large scene of the urban three-dimensional geographic information with the uniform space-time reference are formed through a position intelligent analysis algorithm and application, so that dynamic perception data and trend prediction in the urban three-dimensional geographic information scene are realized.
The present application further provides a large scene density analysis method based on three-dimensional geographic information, please refer to fig. 2, where the method includes:
s1: splicing and fusing wide-area scenes of scattered video monitoring pictures shot by a monitoring camera;
s2: analyzing people or vehicles in the scattered video monitoring pictures, performing data aggregation on the analysis results, and performing position fusion on the aggregated data and the three-dimensional geographic information through a position intelligent analysis algorithm to form density data of the people or vehicles in a wide-area scene based on the three-dimensional geographic information;
s3: and analyzing the density data and displaying a density analysis result.
In one embodiment, the splicing and merging of the wide-area scene of the dispersed video monitoring pictures shot by the monitoring cameras comprises the following steps:
and splicing the acquired images of the plurality of video monitoring pictures by adopting a feature-based image matching and fusion algorithm so as to splice and fuse the dispersed video monitoring pictures in a three-dimensional wide-area scene.
In one embodiment, analyzing the people or vehicles in the dispersed video surveillance pictures and performing data aggregation on the analysis results includes:
acquiring an intelligent analysis data result of the front end, wherein the intelligent analysis data result comprises the number and position data of people or vehicles formed after the intelligent analysis is carried out on the video monitoring picture;
and mapping the position coordinates of each pixel in the image to a three-dimensional geographic information scene under a three-dimensional geographic information space-time frame, and uniformly converging the number and position data of people or vehicles analyzed by the intelligent analysis camera.
Therefore, according to the technical scheme provided by the application, the video application gateway is used for acquiring the video pictures monitored by the camera, so that the real and accurate coordinate positions of a plurality of video pictures in urban spaces such as longitude, latitude, altitude and the like are realized, the large scene fusion display is realized with urban three-dimensional geographic information, the urban three-dimensional virtual geographic environment is reconstructed, and the dynamic perception of urban wide area three-dimensional geographic information scene videos is realized. The intelligent analysis data is obtained through the intelligent analysis data gateway, and intelligent analysis data of the number and the positions of people or vehicles are formed mainly by intelligent analysis of monitoring video pictures. Meanwhile, the number and position data of people or vehicles analyzed by the intelligent analysis camera are uniformly gathered, and finally, the density analysis and presentation of the people or vehicles in the large scene of the urban three-dimensional geographic information with the uniform space-time reference are formed through a position intelligent analysis algorithm and application, so that dynamic perception data and trend prediction in the urban three-dimensional geographic information scene are realized.
The foregoing description of various embodiments of the present application is provided for the purpose of illustration to those skilled in the art. It is not intended to be exhaustive or to limit the invention to a single disclosed embodiment. As described above, various alternatives and modifications of the present application will be apparent to those skilled in the art to which the above-described technology pertains. Thus, while some alternative embodiments have been discussed in detail, other embodiments will be apparent or relatively easy to derive by those of ordinary skill in the art. This application is intended to cover all alternatives, modifications, and variations of the invention that have been discussed herein, as well as other embodiments that fall within the spirit and scope of the above-described application.
Claims (10)
1. A large scene density analysis system based on three-dimensional geographic information is characterized by comprising a video fusion unit, a position intelligent analysis unit and a density analysis unit, wherein:
the video fusion unit is used for splicing and fusing the wide area scenes of the scattered video monitoring pictures shot by the monitoring camera;
the position intelligent analysis unit is used for analyzing people or vehicles in the scattered video monitoring pictures, carrying out data aggregation on the analysis results, and carrying out position fusion on the aggregated data and the three-dimensional geographic information through a position intelligent analysis algorithm to form density data of the people or vehicles in a wide-area scene based on the three-dimensional geographic information;
and the density analysis unit is used for analyzing the density data and displaying a density analysis result.
2. The system of claim 1, further comprising a video application gateway, wherein the video application gateway implements access of the video monitoring device and forwarding of the streaming media by specifying a GB28181 protocol or an SDK mode.
3. The system of claim 1, wherein the smart analysis camera is configured to analyze the number and location of people or vehicles in the dispersed video surveillance.
4. The system of claim 1, wherein the video fusion unit comprises:
and the environment reconstruction module is used for acquiring the real coordinate information of the urban space in the scattered video monitoring pictures, and matching and fusing and displaying the real coordinate information of the urban space and the three-dimensional geographic information of the city in a wide-area scene so as to reconstruct the three-dimensional virtual geographic environment of the city.
5. The system of claim 1, wherein the location intelligence analysis unit comprises:
and the re-matching module is used for mapping each pixel position coordinate identified in the single picture to the three-dimensional geographic information scene through a unified three-dimensional geographic information space-time frame, and calculating the number and the position of people or vehicles in the single picture based on the three-dimensional geographic information scene.
6. The system of claim 1, wherein the video fusion unit comprises:
and the splicing module is used for splicing the acquired images of the plurality of video monitoring pictures by adopting a feature-based image matching and fusion algorithm so as to splice and fuse the dispersed video monitoring pictures in a three-dimensional wide-area scene.
7. The system according to claim 1, further comprising an intelligent analysis data gateway, wherein the intelligent analysis data gateway is configured to obtain an intelligent analysis data result of a front end, and the intelligent analysis data result includes data of the number and the position of people or vehicles formed after the intelligent analysis is performed on the video monitoring picture; and mapping the position coordinates of each pixel in the image to a three-dimensional geographic information scene under a three-dimensional geographic information space-time frame, and uniformly converging the number and position data of people or vehicles analyzed by the intelligent analysis camera.
8. A large scene density analysis method based on three-dimensional geographic information is characterized by comprising the following steps:
splicing and fusing wide-area scenes of scattered video monitoring pictures shot by a monitoring camera;
analyzing people or vehicles in the scattered video monitoring pictures, performing data aggregation on the analysis results, and performing position fusion on the aggregated data and the three-dimensional geographic information through a position intelligent analysis algorithm to form density data of the people or vehicles in a wide-area scene based on the three-dimensional geographic information;
and analyzing the density data and displaying a density analysis result.
9. The method of claim 8, wherein stitching and merging the dispersed video surveillance frames captured by the surveillance cameras into a wide area scene comprises:
and splicing the acquired images of the plurality of video monitoring pictures by adopting a feature-based image matching and fusion algorithm so as to splice and fuse the dispersed video monitoring pictures in a three-dimensional wide-area scene.
10. The method of claim 8, wherein analyzing the people or vehicles in the dispersed video surveillance pictures and performing data aggregation on the analysis results comprises:
acquiring an intelligent analysis data result of the front end, wherein the intelligent analysis data result comprises the number and position data of people or vehicles formed after the intelligent analysis is carried out on the video monitoring picture;
and mapping the position coordinates of each pixel in the image to a three-dimensional geographic information scene under a three-dimensional geographic information space-time frame, and uniformly converging the number and position data of people or vehicles analyzed by the intelligent analysis camera.
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Application publication date: 20200313 |