KR102385677B1 - 3D based cctv control video system - Google Patents

Abstract

The present invention relates to a three-dimensional-based CCTV control video system. In more detail, by using GIS data and numerical altitude information to automatically create a three-dimensional space including outdoor terrain and buildings, and match it with a two-dimensional CCTV image to create a three-dimensional-based CCTV control image, incidents in CCTV images It relates to a three-dimensional-based CCTV control video system that enables three-dimensional monitoring of the site.

Description

3D based cctv control video system {3D based cctv control video system}

The present invention relates to a three-dimensional-based CCTV control video system. In more detail, by using GIS data and numerical altitude information to automatically create a three-dimensional space including outdoor terrain and buildings, and match it with a two-dimensional CCTV image to create a three-dimensional-based CCTV control image, incidents in CCTV images It relates to a three-dimensional-based CCTV control video system that enables three-dimensional monitoring of the site.

Recently, as the number of CCTVs monitored per person exceeds the appropriate number of monitoring units, the controller's fatigue and control efficiency are decreasing. Accordingly, an intelligent control system is being tried to prevent blind spots and controller errors.

However, the existing CCTV control system has a problem in that it is difficult to check the location of the site and accurately identify the monitoring target with the front control screen because the tiled screen is a tiled screen, and the on-site arrest and movement of the monitoring target are impossible to track.

In addition, there is a lack of on-site awareness during disaster crimes, insufficient information for decision-making, and insufficient real-time outdoor 3D CCTV technology implementation.

In order to solve the problems of the existing CCTV control system, research and development of a control system based on a 3D-based CCTV image is being actively conducted. The method of mapping CCTV image information to the drawing file modeled by directly is applied.

However, the drawing file modeled by the actual operator is suitable for indoor CCTV control technology, but there are too many atypical elements such as terrain during outdoor CCTV control. With the mapping method, it is impossible to map with a large amount of polygons such as terrain, and when image mapping is performed manually, there is a problem that rework is required when updating.

Prior art literature: KR Registered Patent Publication No. 1246844 (2013.3.25. Announcement)

The present invention has been devised to solve the above problems, and it is difficult to accurately determine the location of the surrounding CCTV to monitor the accident phenomenon in case of an incident, accident, or disaster situation. The purpose of this is to provide a 3D-based CCTV control video system by solving the problems of the existing CCTV control system that could not grasp the scene as it is.

The three-dimensional CCTV control image system according to the present invention devised to achieve the above object is a CCTV image acquisition unit that acquires CCTV images in real time from at least one CCTV imaging device, building layer information, and numerical elevations from the GIS provider A GIS information acquisition unit that acquires GIS information including a model (DEM), a 3D terrain generation unit that generates a 3D topography based on the collected GIS information, and a 3D-based CCTV based on the generated 3D topography and CCTV images It includes a three-dimensional control device including a CCTV image generation unit for control that generates a control image to perform monitoring of the control area, and the CCTV image generation unit for control generates a two-dimensional based CCTV image with a 3D terrain generation unit. A mapping unit that maps to a three-dimensional object created through Create a texture with a projection camera effect to create an area to project a CCTV image on a three-dimensional object, and display the CCTV image on the projection area. Among them, it may include allowing the CCTV image to be displayed at the point at the shortest distance of the 3D object.

In addition, the mapping unit superimposes the 3D object and the 2D CCTV image information to find and match the corresponding points, and when more than a certain pair of corresponding points are selected, the CCTV imaging device uses a pre-programmed algorithm to determine which CCTV image information to be captured. It may further include a camera external variable estimator for estimating whether the photograph was taken from the position and rotation value.

In addition, the 3D control device detects 3D objects in blind spots that are not included in the CCTV angle of view based on the CCTV angle of view information, CCTV movement information, and building information collected from the GIS information collection unit among the CCTV image information collected from the CCTV image acquisition unit. Including extraction, the 3D control device extracts the 3D object located in the blind spot not included in the field of view of the CCTV imaging device, and then the extracted 3D object is solved to be included in the field of view of at least one CCTV imaging device The solution that should be searched for in the database is provided to the administrator terminal, and in this case, the solution may include moving the location of the CCTV video device, rotating the shooting angle of the CCTV video device, and installing additional CCTV video devices in blind spots. .

According to the present invention, by using GIS data and numerical altitude information to automatically create a three-dimensional space including outdoor topography and buildings, and match it with a two-dimensional CCTV image to create a three-dimensional-based CCTV control image, the incident scene in the CCTV image It is effective in enabling three-dimensional monitoring of

1 is a block diagram of a three-dimensional-based CCTV control video system according to a preferred embodiment of the present invention;
2 is a block diagram of a three-dimensional CCTV control device of a three-dimensional-based CCTV control image system according to a preferred embodiment of the present invention;
3 is a view showing the shortest distance mapping method using the projection camera texture among the three-dimensional CCTV control video system according to a preferred embodiment of the present invention;
4 to 5 are exemplary diagrams for explaining that 3D spatial information not photographed by a CCTV imaging device is extracted from a 3D-based CCTV control video system according to a preferred embodiment of the present invention and a solution is recommended ,
6 to 9 are exemplary views for explaining the camera external variable estimating unit among the three-dimensional based CCTV control image system according to a preferred embodiment of the present invention, schematically illustrating a flow chart of the camera external variable estimating unit;
10 is a real implementation screen showing a state of mapping a three-dimensional object including a building and a terrain automatically generated by GIS data to a CCTV image;
11 is a real implementation screen showing a state in which mapping of a three-dimensional object including terrain and buildings automatically generated by CCTV images and GIS data is completed;
12 is a view showing a state in which a CCTV image is vertically displayed on a three-dimensional object.

Hereinafter, preferred embodiments of the present invention will be described in detail with reference to the accompanying drawings. First of all, it should be noted that in adding reference numerals to the components of each drawing, the same components are given the same reference numerals as much as possible even though they are indicated on different drawings. In addition, in describing the present invention, if it is determined that a detailed description of a related known configuration or function may obscure the gist of the present invention, the detailed description thereof will be omitted. In addition, preferred embodiments of the present invention will be described below, but the technical spirit of the present invention is not limited thereto and may be variously implemented by those skilled in the art without being limited thereto.

1 is a block diagram of a 3D-based CCTV control video system according to a preferred embodiment of the present invention, and FIG. 2 is a 3D CCTV control device of a 3D-based CCTV control video system according to a preferred embodiment of the present invention. 3 is a diagram showing a shortest distance mapping method using a projection camera texture among a three-dimensional based CCTV control video system according to a preferred embodiment of the present invention, and FIGS. 4 to 5 are a preferred embodiment of the present invention It is an exemplary view for explaining that a three-dimensional object not photographed by a CCTV imaging device is extracted from among the three-dimensional-based CCTV control video system according to , and a solution therefor is recommended, and FIGS. 6 to 9 are a preferred embodiment of the present invention As an exemplary diagram for explaining the camera external variable estimation unit among the three-dimensional-based CCTV control image system according to the example, the flowchart of the camera external variable estimation unit is schematically generated, and FIG. 10 is a CCTV image automatically generated by GIS data It is a real implementation screen showing a state of mapping a three-dimensional object including a topography and a building, and FIG. 11 is a real image showing a state in which mapping of a three-dimensional object including a terrain and a building automatically generated by CCTV images and GIS data is completed. It is an implementation screen, and FIG. 12 is a view showing a state in which a CCTV image is vertically displayed on a three-dimensional object.

Referring to FIG. 1 , a three-dimensional-based CCTV control system according to an embodiment of the present invention includes a control center 10 , a CCTV imaging device 20 , a GIS providing unit 30 , and a manager terminal 40 . .

The CCTV imaging device 20 is installed in at least one outdoor control area to transmit CCTV images in real time. The CCTV video device 20 stores identification information and location information (eg, latitude and longitude) for mutual distinction, and transmits the identification information and location information together when the captured image is transmitted to the control center 10 . can

The GIS providing unit 30 is an organization that provides GIS information, and may be an organization such as the National Geographical Information Service or a local government, and provides GIS information to the control center 10 .

Since GIS information may be updated, such as correction, change, adjustment, etc. by the GIS providing unit 30, the 3D CCTV control device 50 connects to the GIS providing unit 30 periodically or according to the user's selection to access the GIS It can be updated as information is provided.

The control center 10 controls the control area based on the CCTV image and GIS data. The control center 10 collects CCTV images from the CCTV imaging device 20 in real time, collects GIS information from the GIS provider 30, and generates a 3-dimensional-based CCTV control image based on this to create a 3-dimensional space-based It includes a three-dimensional CCTV control device 50 for performing CCTV control.

More specifically, referring to FIG. 2 , the three-dimensional CCTV control device 50 includes a CCTV image acquisition unit 52 , a GIS providing unit 30 that collects CCTV images from at least one CCTV imaging device 20 in real time. The GIS information acquisition unit 54 that acquires GIS information from It is made to include a control CCTV image generating unit 58 for generating a control image.

The CCTV image acquisition unit 52 collects two-dimensional based CCTV images in real time from at least one CCTV imaging device 20 installed in the control area through a wireless network and stores them in a database (not shown), so that each CCTV image It enables the management of images for the device 20 .

The CCTV video device 20 includes its own location information, identification information (eg, ID or unique number), angle of view information, installation height information, and rotation (movement) information when transmitting a CCTV image. ) can be transmitted. Therefore, the CCTV image acquisition unit 52 allows the CCTV image to be stored and managed according to the identification information of the CCTV image device 20 .

The GIS information acquisition unit 54 acquires GIS information by accessing the GIS providing unit 30 periodically or according to a user's selection.

The three-dimensional terrain generating unit 56 generates a three-dimensional topography that is the basis of a three-dimensional-based CCTV control image by using the collected GIS information.

More specifically, referring to FIG. 2 , the three-dimensional topography generating unit 56 receives the boundary for administrative districts from the GIS information, the GIS layer for buildings and roads, and the boundary for each administrative district, attribute information on buildings and roads. The GIS layer extraction unit 62 for extracting , the height map extraction unit 64 for extracting the height map from the GIS information, the merging unit 66 for merging the GIS layer into the height map, and the GIS layer for the building. It includes a three-dimensional spatial information generator 68 that finally generates a three-dimensional based CCTV control image by generating a three-dimensional object corresponding to the building.

The GIS layer extractor 62 and the height map extractor 64 may extract each GIS layer and the height map from the GIS information using various tools such as a GIS tool. When the GIS layer extraction unit 62 extracts the GIS layer for the administrative district, the building, and the road, it also extracts attribute information about the boundary, the road, and the building for each administrative district.

The GIS layer means a multi-layered structure of GIS information, and is composed of multiple layers, such as a topographic aerial photograph layer, a city-gun-gu administrative district boundary layer, a highway layer, and a building layer. The lower layer is covered by the upper layer, and ON/OFF of a specific layer and extraction of a specific layer are also possible.

The attribute information on the boundary of the administrative district includes the name of the administrative district, location information (eg, latitude and longitude), or a combination thereof. The attribute information on the road includes a road name (or lot number), location information, or a combination thereof. The attribute information about the building includes the building name, location information, building height, building type, or a combination thereof of each building.

The height map extraction unit 64 extracts a numerical elevation model from the GIS information, includes only the height of the base terrain from the extracted numerical elevation model, and obtains different contrast values (eg 0 to 255) according to the height of the base terrain. Extract the heightmap with

The numerical elevation model relates to numerical topography or water depth survey data, and is also called DEM, and represents the elevation value of only the topography that does not include vegetation and artificial features. Each GIS layer is extracted with the same scale as the numerical elevation model.

The height map extraction unit 64 sequentially extracts a numerical elevation model and a height map for the numerical elevation model from the GIS information. More specifically, the height map extraction unit 64 displays the extracted numerical elevation model in a plurality of colors according to the height of the terrain, and in order to increase readability or visibility with each GIS layer, for example, Extracts a height map with a contrast value between 0 and 255.

The merging unit 66 merges each GIS layer into the extracted height map. At this time, the merged GIS layers are merged according to the preset elevation, but each GIS layer is merged with the height map at different heights.

The three-dimensional spatial information generating unit 68 creates a three-dimensional topography by increasing the GIS layer for the building merged into the height map and generating a three-dimensional object corresponding to the actual building based on the attribute information on the building.

The three-dimensional object is for each building that appears in the GIS layer, and increases the building GIS layer vertically (eg, in the y-axis direction) and property information (eg, building name, building type, building height, location information, or their It is created according to the scale using the height information included in the combination). On the other hand, if there is no height information, a building as a three-dimensional object can be created by setting the number of floors preset according to the type of building, for example, 15 floors for an apartment building, 2 floors for a house, and 5 floors for a general building. .

The three-dimensional object is processed in white to check the distance between buildings and the back side of the building. This is because when the transparency of the building surface is high, there is an error that the mapped CCTV image is projected on the back side of the building.

Referring to FIG. 2 , the CCTV image generator 58 for control maps the two-dimensional CCTV image to the three-dimensional topography generated by the three-dimensional topography generator 56, the mapping unit 72, the mapping result. A region setting unit 74 that generates at least one or more polygons accordingly, determines the direction of the generated polygons, and a texturing unit 76 that texts the CCTV image to the polygons.

The present invention enables texturing of CCTV images on 3D objects (roads or buildings, etc.) appearing on 3D terrain in real time, rather than a method of pre-cutting and mapping CCTV images to 3D objects modeled in advance.

The mapping unit 72 is a real object (building, road, or their combination) is recognized. The mapping unit 72 detects a three-dimensional object (spatial information corresponding to a building, a road, or a combination thereof) of a three-dimensional topography corresponding to the recognized object and maps the CCTV image received from the specific CCTV imaging device 20 . do.

The CCTV image is received from the CCTV imaging device 20 that is photographing the actual building corresponding to the building, which is a 3D object, and the 3D CCTV control device 50 is a pan (pan, horizontal movement angle) of the CCTV imaging device. , Tilt (horizontal movement angle) or a combination thereof, a three-dimensional object (building, road, or these combination) is detected. Then, the CCTV image is mapped to the detected 3D object.

The three-dimensional CCTV control device 50 has all the information about the location information, the location information of each CCTV imaging device, pan, tilt, etc. for all buildings, roads, and administrative districts. Therefore, the three-dimensional CCTV control device 50 can know which actual object is being photographed by the location information, pan, tilt, etc. of a specific CCTV imaging device. As a result, the 3D CCTV control device can map the CCTV image of a specific real building being photographed by a specific CCTV imaging device to a building that is a 3D object corresponding to the specific real building.

Referring to FIG. 3 , the mapping unit 72 generates a texture having a projection camera effect to generate an area to project a CCTV image on a 3D object, and adjusts the CCTV image to match the generated projection area to the 3D object. make it match At this time, the CCTV image is matched to a specific point of the 3D object and displayed.

The mapping unit 72 outputs rays at various angles when projecting a CCTV image on a three-dimensional object to match the CCTV image to a point located at the shortest distance on the three-dimensional object to be displayed, and to be displayed at other points have it removed.

The mapping unit 72 outputs a light beam at various angles to check a collision point, and stores it in a buffer to generate a depth map. The shortest distance value in each direction is stored in the generated depth map, and based on this, the actual image is displayed only at the distance previously stored in the depth map. Here, the method of calculating the shortest distance may be implemented through a pre-programmed calculation method.

In addition, the mapping unit 72 is provided with a tool for adjusting the angle, height, and position of the GIS data when mapping the 2D CCTV image information to the 3D object, so that the mapping of the CCTV image can be corrected using the tool.

The above-described mapping correction function enables the 2D CCTV image information to be mapped to an accurate location using a mapping tool that matches the 2D CCTV image information to a 3D object.

The area setting unit 74 generates at least one polygon based on the CCTV image and the outline of the 3D object according to the mapping result. The region setting unit 74 determines the directionality of the polygon at a preset angle according to the object indicated by the generated polygon.

For example, if three polygons represent the front of the building, the right side of the building, and the road adjacent to the building, the part corresponding to the front of the building is 0°, the part corresponding to the right side of the building is 90° in the z-axis direction, and the The part corresponding to the adjacent road is rotated by 90° in the y-axis direction. Determining the directionality of a polygon according to a preset angle is to make it closer to real life by three-dimensionally matching the CCTV image, instead of simply overlaying the CCTV image, which is a two-dimensional flat image, on the three-dimensional topography.

The texturing unit 76 creates a three-dimensional-based CCTV control image by matching the CCTV image to the three-dimensional terrain by texturing the corresponding CCTV image to polygons.

10 to 11 are real implementation screens showing a state in which a three-dimensional object including a building and a terrain automatically generated by GIS data are mapped to a CCTV image.

Attribute information can be displayed on the created CCTV control image. The attribute information refers to attribute information about administrative districts, buildings, and roads extracted by the three-dimensional topography generator.

The three-dimensional CCTV control device 50 displays property information of a three-dimensional object including a road, a building, or a combination thereof included in the three-dimensional CCTV control image, so that when a user monitors a specific area, surrounding information of the area to be intuitively recognizable.

If the 3D object is a road, attribute information (eg, location information including latitude and longitude, road name, or a combination thereof) for each road extracted by the 3D CCTV control device 50 is displayed for each road. can When the 3D object is a building, attribute information (eg, location information including latitude and longitude, building name, building height, or a combination thereof) about each building extracted by the 3D CCTV control device 50 is stored in each building. can be marked with stars.

The attribute information is displayed at the same altitude as the displayed object. That is, when the attribute information is attribute information about a road, it is displayed at the same altitude as the elevation of the road GIS layer set when the 3D topography is created, and when the attribute information is attribute information about a building, each 3D It may be displayed at the same height as the height of the building, which is an object.

The CCTV image generating unit 58 for control generates a three-dimensional CCTV control image for space-based control by matching the CCTV images collected on the generated three-dimensional terrain in real time. In addition, the CCTV image generating unit 58 for control displays and outputs the extracted attribute information on the CCTV control image. can also be displayed and printed.

In the operation unit (not shown), a two-dimensional CCTV image is displayed on a screen divided into a plurality of screens, one for each divided screen. In addition, the azimuth is displayed for each screen. In addition, when a specific two-dimensional CCTV image is selected, the screen moves to a three-dimensional CCTV control image and is converted to a three-dimensional CCTV control image.

In addition, the screen for generating a 3D-based CCTV control image is provided with a function for displaying or removing each 3D object and attribute information of the 3D object. For example, when the 'road' button is selected, the road center line is displayed or disappears, when the 'building' button is selected, a 3D building is created or disappeared, and when the 'address' button is selected, the lot number may be displayed or disappeared.

The management unit (not shown) registers and corrects CCTV information including the use of CCTV, cadastral address, rotation status, road name address, camera module, and installation date, and calls the CCTV image to perform a three-dimensional image matching function. There is a CCTV management page that allows you to do this.

In addition, the management unit (not shown) is provided with a CCTV person in charge information management page that allows the current control manager's CCTV allocation information to be transferred to a new control manager.

In addition, the management unit (not shown) is provided with a CCTV maintenance page for registering and modifying information including the date, time, work category, and operator of the maintenance of the CCTV video device.

In addition, the management unit (not shown) is provided with a GIS data management page to manage registration and correction of GIS data when updating GIS data provided by the GIS provider.

In addition, referring to FIG. 12 , the management unit (not shown) is provided with a function of vertically standing and displaying the CCTV image corresponding to the region and direction in which the 3D object is located, without mapping the CCTV image to the 3D object. This is because there is a risk that the visibility may be obstructed during control as the angle and direction of the mapped image are shifted, so it has a function that can display CCTV images that are not mapped in 3D space, so that the location and direction of the CCTV imaging device and CCTV footage can be checked.

The three-dimensional control device 50 collects CCTV angle of view information and CCTV movement information (including installation height information and rotation information) from the CCTV image acquisition unit 52, and based on the building information collected from the GIS information collection unit, the CCTV angle of view Try to detect if there is a blind spot that is not included in the area.

This is because when matching the 2D-based CCTV image and the 3D object image, depending on the height of the building, the CCTV imager is not filmed because it is hidden behind a high building, so it may be difficult to accurately match the CCTV image corresponding to the 3D object. Accordingly, it is possible to accurately detect a 3D object located in such a blind spot to improve the accuracy of image registration.

In addition, the three-dimensional control device 50 extracts a three-dimensional object of a blind spot not included in the angle of view of the CCTV imaging device 20, and then the extracted three-dimensional object is photographed by at least one CCTV imaging device, It searches for at least one or more solutions among solutions previously stored in a database (not shown) and provides them to the manager terminal 40 .

The solution calls at least one or more CCTV video devices located closest to the current location in order for the building in the blind spot to be photographed with a CCTV video device, and analyzes information including the angle of view and installation height of the called CCTV video device in the blind spot A solution for this can be provided as to how the information including the angle of view and installation height of the CCTV video device should be improved in order to photograph the building of

For example, the solution may include moving the location of the CCTV imaging device, rotating the shooting angle of the CCTV imaging device, and additionally installing the CCTV imaging device in the blind spot.

In one embodiment, referring to FIGS. 4 to 5 , the image information photographed by the first CCTV imaging device includes three-dimensional building A, B, and C information, and the image information photographed by the second CCTV imaging device includes the building When D and E are included, building F (height h=50m) located between building C (height h=200m) and building E (height h=100m) has both buildings high, so the first CCTV imager and the second The angle of view of the CCTV imager will not be photographed. In this case, based on the angle of view information of the CCTV camera and the CCTV movement information (including installation height information and rotation information), a 3D object that is not located within the CCTV field of view and has an unshooted part is extracted to be distinguished from other 3D objects. It is displayed in an identifiable color, and a solution of 'additionally install a third CCTV imaging device at a specific location to be photographed on the corresponding 3D object' is provided to the manager terminal 40 .

In addition, based on the accident frequency and accident rate for each location stored in advance in the database (not shown), a solution is selectively provided to the manager terminal 40 only in the case of a location with an accident occurrence rate and accident frequency greater than or equal to a predetermined value stored in advance. can make it

The manager terminal 40 monitors a specific area through the CCTV control image, and is configured to perform CCTV control for a specific range among the control ranges allocated to at least one or more users.

On the other hand, the three-dimensional control device 50 of the present invention superimposes the three-dimensional object and the two-dimensional CCTV image information photographing the three-dimensional object, so that the CCTV image device shoots the CCTV image at a certain position and rotation value. A camera external variable estimator (not shown) for estimating whether there is (hereinafter, external variable of the CCTV imaging device) may be further provided.

The camera external variable estimator (not shown) overlaps the three-dimensional object and the two-dimensional CCTV image information to find and match each corresponding point. make it possible

6 to 9 , the camera parameter measuring unit (not shown) overlaps the 3D object 200 and the 2D-based CCTV image information 100 obtained by photographing the 3D object 200, and then overlaps the Adjust the transparency of each 3D object and 2D based CCTV image information so that they can be seen overlapping each other. At this time, it is preferable to adjust the transparency of the two-dimensional CCTV image to a low level so that the image can be seen clearly, and for the three-dimensional object, it is preferable to give a high transparency so that the mesh shape can be clearly seen.

7 to 8 , the camera parameter measuring unit (not shown) continuously selects a point corresponding to the overlapping 2D CCTV image and the 3D object.

At this time, selecting the corresponding point is to designate the corresponding point by matching between the three-dimensional object and the two-dimensional CCTV image information obtained by photographing the three-dimensional object. Each is activated to select a point on each coordinate. The selected point is displayed in an identifiable form. In addition, the 3D object and the point displayed in the 2D CCTV image information are formed in different colors and shapes so that each point can be distinguished from each other.

For example, referring to FIGS. 7 to 8 , the point selected in the 2D CCTV image information is displayed as the first point 110 , and the point selected in the 3D object may be displayed in the same form as the second point 210 . there is.

Referring to FIG. 9 , the camera external variable estimator (not shown) measures the camera external variable by a pre-programmed algorithm when more than N pairs of preset corresponding points of the 3D object and the 2D CCTV image information are generated. 9 is a diagram illustrating a state in which N pairs or more of corresponding points are generated in advance to measure external parameters of the camera.

At this time, the camera external variable estimator (not shown) is pre-programmed with an algorithm capable of estimating the external variables of the CCTV imaging device. For example, the pre-programmed algorithm is an algorithm in which an external variable of the camera is derived as an output value when a pair of points between N pairs of CCTV images and a three-dimensional object is an input value. For this, a conventional camera external variable estimation function (camera calibration function) or the like may be used.

The above-described camera external variable estimator (not shown) estimates the location and direction of the CCTV imaging device to estimate the location and direction in which the picture is being taken.

It retrieves the data of the accident frequent point and criminal occurrence area pre-stored in the database and analyzes that the accident rate was high when the CCTV video device was filmed in a specific direction and location. In order to reduce the accident rate, it is possible to analyze the priority of the shooting location and direction of the CCTV imaging device to determine where and in which direction the shooting location and shooting direction of the CCTV imaging device should be taken.

The above description is merely illustrative of the technical idea of the present invention, and those of ordinary skill in the art to which the present invention pertains may make various modifications, changes and substitutions within the scope without departing from the essential characteristics of the present invention. will be. Accordingly, the embodiments disclosed in the present invention and the accompanying drawings are for explaining, not limiting, the technical spirit of the present invention, and the scope of the technical spirit of the present invention is not limited by these embodiments and the accompanying drawings . The protection scope of the present invention should be construed by the following claims, and all technical ideas within the scope equivalent thereto should be construed as being included in the scope of the present invention.

10: Control Center
20: CCTV video equipment
30: GIS provider
40: manager terminal

Claims (3)

A CCTV image acquisition unit that acquires CCTV images in real time from at least one CCTV imaging device, a GIS information acquisition unit that acquires GIS information including building layer information and a numerical elevation model (DEM) from the GIS provider, and the collected GIS information A 3D terrain generator that creates a 3D topography based on wealth
3D control device including
including,
CCTV image generator for control
A mapping unit that maps a two-dimensional CCTV image to a three-dimensional object created through a three-dimensional topography generator, a region setting unit that creates at least one polygon according to the mapping result, and determines the direction of the generated polygon, Texturing unit for texturing CCTV images
includes,
the mapping department
Create a texture with a projection camera effect to create an area to project a CCTV image on a three-dimensional object, and display the CCTV image on the projection area. Among them, the function to display the CCTV image at the point at the shortest distance of the 3D object.
including,
3D control system
By superimposing 3D object and 2D CCTV image information to find and match the corresponding points, when more than a certain pair of corresponding points are selected, a certain position and rotation value for the CCTV video device to shoot the corresponding CCTV video information through a pre-programmed algorithm Camera external variable estimator that can estimate whether it was filmed in
including,
3D control system
A function of extracting 3D objects in blind spots that are not included in the CCTV angle of view based on the CCTV angle of view information, CCTV movement information, and building information collected from the GIS information collection unit among the CCTV image information collected from the CCTV image acquisition unit.
including,
3D control system
Extracts a 3D object located in a blind spot that is not included in the field of view of the CCTV imaging device and outputs the extracted 3D object in an identifiable color to distinguish it from other 3D objects,
In order for the extracted 3D object to be included in the angle of view of at least one or more CCTV video devices, a solution to be solved is searched in the database and provided to the manager terminal,
The solution provided to the administrator terminal is
In order for the building in the blind spot to be photographed with a CCTV video device, at least one CCTV video device located closest to the current location is called and the information including the angle of view and installation height of the called CCTV video device is analyzed and the building in the blind spot is photographed. It contains information including moving the location of the CCTV video device, rotating the shooting angle of the CCTV video device, and additionally installing the CCTV video device in the blind spot,
The solution provided to the administrator terminal is
Based on the accident frequency and accident rate for each location pre-stored in the database, it is selectively provided in the case of a place with a high accident rate and accident frequency.
3D-based CCTV control video system, characterized by

delete delete

Images