KR101586026B1 - device and method of calculating coverage of camera in video surveillance system - Google Patents

Abstract

Disclosed are a device and method for calculating a surveillance coverage of a camera for an image surveillance system. The device for calculating a surveillance coverage of a camera comprises: an input unit for receiving product information and installation information on the camera; a control unit for forming an expected surveillance coverage when the camera is installed on a three-dimensional map by using the information inputted by the input unit; a storage unit for storing the information inputted by the input unit and the surveillance coverage formed by the control unit; a display unit for displaying the surveillance coverage formed on the three-dimensional map; and an interface unit for sensing an operation of a user who instructs a user′s command on formation of the surveillance coverage. The method for calculating the surveillance coverage of the camera comprises the following steps: estimating a position where a camera is to be installed; converting a surveillance coverage into latitude and longitude coordinates based on the estimated position; connecting the converted latitude and longitude coordinates to form a polygon; and forming the surveillance coverage on the three-dimensional map by using the formed polygon.

Description

Technical Field [0001] The present invention relates to a device and method for calculating a camera surveillance area for a video surveillance system,

The present invention relates to an apparatus and method for calculating a camera surveillance area for a surveillance system. More particularly, the present invention relates to a camera surveillance area for a video surveillance system capable of confirming a surveillance area on a virtual 3D map based on a spatial information open platform by converting a camera surveillance area calculated using a pinhole camera model into latitude, longitude, And more particularly,

People are increasingly demanding safety because of the increasing number of violent crimes. Recent crimes have become more intelligent and diverse, and more and more intelligent and systematic security solutions have become necessary due to unpredictable features, both time and place. As a result, a large-scale comprehensive surveillance system capable of monitoring large areas in real time with a large number of surveillance devices and correlating the events that may occur in various regions can be effectively used as a means of effectively suppressing such threats. The demand and installation cases are increasing in the residential complexes and local governments.

The installed comprehensive monitoring system has various sizes such as integrating several dozens to many thousands of surveillance cameras, and the purpose of installation is not only to prevent crime but also to cover various parts of social problems including waste disposal and disaster warning. do.

However, there is a case that the surveillance system constructed with high cost is useless due to lack of standard or experience for systematically operating and designing such a large - scale surveillance system.

The biggest cause is the error of the surveillance area caused by erroneous installation of the surveillance camera. Incorrectly installed surveillance cameras can miss crime scenes, degrade system reliability, and cause waste of cost due to late installation calibration.

Currently, software (CCTV-CAD, CCTV Design Tool, Archispace Video, and FLIR Raven Security Site Planning Tool) that simulates the installation of surveillance cameras is commercially available but most of them are 3D spatial information of buildings modeled for simulation, Because it uses coordinates, it does not apply to complex and wide terrain such as residential complexes and villages. Even if the outdoor simulation function is provided, it is expressed on a two-dimensional map and does not provide a precisely calculated surveillance area.

In this way, there is no case in which an outdoor surveillance camera is installed in a way that can observe the surveillance area of a surveillance camera scheduled to be installed considering the installation location, the surveillance direction, and the surrounding terrain as well as the characteristics of the surveillance camera. As a alternative, a method of determining the approximate installation condition by a simple calculation method is selected depending on empirical judgment or taking an error.

However, in the case of an integrated surveillance system in which dozens or even thousands of surveillance cameras have to be linked organically, this conventional method causes unnecessary expenditure such as correcting a wrongly designed surveillance system and makes it difficult to establish a systematic surveillance plan Thereby reducing the reliability and utilization efficiency of the system. In addition, the inaccuracy of the surveillance area, which is the most basic in the surveillance system that will be developed more intelligently in the future, can be a fatal problem.

Therefore, in order to increase the reliability and cost efficiency of the surveillance system through the systematic monitoring plan design and the accurate monitoring status, it is necessary to set up the surveillance area and the method of calculating the accurate surveillance area of the surveillance camera before installing the outdoor surveillance camera There is a demand for an application that can be visually confirmed.

An object of the present invention is to provide an apparatus and method for calculating a camera surveillance area using a pinhole camera model before the installation of a surveillance camera.

According to an aspect of the present invention, there is provided an apparatus for calculating camera surveillance regions, the apparatus comprising: an input unit for receiving camera product information and camera installation information; A display unit for displaying the surveillance area on the three-dimensional map, and a display unit for displaying the surveillance area on the three-dimensional map, And an interface unit for sensing a user action indicating a user command.

According to another aspect of the present invention, there is provided a method for calculating a camera surveillance region, comprising the steps of: estimating a position where a camera is to be installed; converting a surveillance region into positional / longitudinal coordinates based on the estimated position; To form a polygon; And forming a surveillance region on the three-dimensional map using the formed polygon.

According to the title of the present invention, before the outdoor surveillance camera is installed, the surveillance area of the camera can be calculated to set the location where the camera is installed, thereby increasing the efficiency of the surveillance system and reducing the cost.

In addition, it can be applied to intelligent video security field that calculates accurate coordinates of a surveillance target, and the design result of surveillance camera can be predicted quickly.

FIG. 1 is a block diagram illustrating a camera surveillance area calculating apparatus according to an embodiment of the present invention.
2 is a block diagram illustrating a control unit of the camera surveillance zone calculation apparatus according to an exemplary embodiment of the present invention.
3 is a block diagram illustrating a coordinate transformation module of the camera surveillance region calculation apparatus according to an embodiment of the present invention.
4 is a view for explaining calculation of effective monitoring distance according to an embodiment of the present invention.
FIG. 5 is a view for explaining the formation of a three-dimensional pyramid according to an embodiment of the present invention.
FIG. 6 is a diagram for explaining the calculation of each vertex of a 3D pyramid and the conversion of the vertex / longitude coordinates according to an embodiment of the present invention.
FIG. 7 is a diagram for explaining a surveillance area calculation according to an embodiment of the present invention.
FIG. 8 is a view showing a driving screen of an application according to an embodiment of the present invention.
9 is a view for explaining a monitoring purpose selection unit according to an embodiment of the present invention.
FIG. 10 is a flowchart illustrating a camera surveillance area calculation method according to an embodiment of the present invention.
11 is a diagram illustrating an experimental result of an application according to an embodiment of the present invention.

Hereinafter, embodiments of the present invention will be described in detail with reference to the accompanying drawings. In the drawings, the same reference numerals are used to designate the same or similar components throughout the drawings. In the following description of the present invention, a detailed description of known functions and configurations incorporated herein will be omitted when it may make the subject matter of the present invention rather obvious or understandable to those skilled in the art.

FIG. 1 is a block diagram illustrating a camera surveillance area calculating apparatus according to an embodiment of the present invention.

Referring to FIG. 1, the camera surveillance area calculation apparatus 1 may include an input unit 100, a control unit 200, a display unit 300, a user interface unit 400, and a storage unit 500.

The input unit 100 can input horizontal and vertical FOV (field of view) and monitoring distance, which are features of a surveillance camera product, by a user command. In addition, the input unit 100 can input latitude, longitude, altitude, vertical inclination angle, and horizontal inclination angle of a location to be installed. The input method of the input unit 100 may include a method of directly inputting latitude, longitude, and altitude by a user, and there may be a method of automatically inputting latitude and longitude by touching or clicking on an arbitrary point. At this time, the altitude is set by the user in such a manner that a certain point is touched or clicked to automatically input latitude and longitude.

The control unit 200 can form a surveillance region on the map by using the horizontal and vertical FOV (field of view), the observation distance, the latitude, the longitude, the altitude, the vertical slope angle and the horizontal slope angle input from the input unit 100 have. At this time, the map may include a spatial information open platform. Spatial information open platform means a platform providing various methods to freely utilize individual and company to develop secondary and tertiary spatial information service. For example, Google Earth in Google and VWorldVWorld in the Ministry of Land, Transport and Maritime.

The display unit 300 may display a three-dimensional map image. In addition, the display unit 300 can output the image of the surveillance region formed on the map by the control unit 200. [ The display unit 300 may include a touch screen function.

The user interface unit 400 can connect the control unit 200 and a user. The user interface unit 400 may sense a user command and output the detected user command to the control unit 200.

The storage unit 500 may store software for performing the camera surveillance area calculation process. The information stored in the storage unit 500 may be updated through the control of the control unit 200. The storage unit 500 may store the information input from the input unit 100 and the monitoring area formed in the controller 200. [

2 is a block diagram illustrating a control unit of the camera surveillance zone calculation apparatus according to an exemplary embodiment of the present invention.

2, the control unit 200 may include a camera installation position estimation module 210, a coordinate change module 220, a polygon formation module 230, and a monitoring area formation module 240. FIG.

The surveillance camera installation position estimation module 210 may convert the camera information received from the input unit 100 into internal data. The camera installation position estimation module 210 can estimate the camera installation position using the converted internal data. The camera installed position estimation module 210 can generate an area in the display unit 300 where an image of the camera to be installed is expected, using the estimated camera installed position. That is, the camera installed position estimation module 210 can control the display unit to display each region photographed according to the position of the camera to be installed.

At this time, the camera information received from the input unit 100 may include latitude, longitude, and altitude. In addition, the camera installed position estimation module 210 may convert an internal data type combining variables divided into latitude, longitude, and altitude into one object.

The coordinate transformation module 220 can calculate the effective monitoring distance after selecting the monitoring purpose. The coordinate transformation module 220 can form a three-dimensional pyramid on the basis of the calculated effective monitoring distance, and can extract a point intersecting the ground using the vertex of the formed three-dimensional pyramid. Accordingly, the coordinate transformation module 220 can convert the point intersecting the three-dimensional pyramid and the ground into the position / hardness coordinate.

The polygon forming module 230 may form polygons by connecting the converted position / hardness coordinates in the coordinate change module 220. In this case, the polygon refers to a polygon, which is the smallest unit used to represent a three-dimensional shape in a three-dimensional computer graphic, and is often used in a three-dimensional computer graphic or a three-dimensional CAD (3D CAD).

The surveillance area forming module 240 can form a surveillance area on the map by using the polygon gon formed by the polygon forming module 230. In more detail, the surveillance area forming module 140 designates the color and border attributes of the polygon gon formed by the polygon forming module 230 so that the surveillance area can be expressed on the map.

3 is a block diagram illustrating a coordinate transformation module of the camera surveillance region calculation apparatus according to an embodiment of the present invention.

3, the coordinate transformation module 220 includes a monitoring target selection unit 221, an effective monitoring distance calculation unit 222, a three-dimensional pyramid formation unit 223 and a stomach / hardness coordinate transformation unit 224 can do.

The monitoring purpose selection unit 221 can select the monitoring purpose. Since the effective surveillance area of the camera is changed according to the purpose of surveillance, the surveillance objective selection unit 221 can determine whether the purpose of the person is to confirm the identity of the person or simply to detect the person. The monitoring purpose selection unit 221 may form the image height and the magnification of the person differently according to the purpose. More specifically, since the number of pixels of the region corresponding to the person must be different according to the purpose of monitoring, the monitoring target selection unit 221 may set the height of the image photographed by the camera as 100% In order to confirm the identity of a person, the person shall be placed at a height corresponding to 100% of the height of the image. can do. Also, the monitoring purpose selection unit 221 can set a percentage of the image height by a user command.

The effective monitoring distance calculating unit 222 can calculate the effective monitoring distance using the pinhole camera model. The calculation process of the effective monitoring distance calculation unit 222 will be described in more detail with reference to FIG.

The three-dimensional pyramid forming unit 223 can form a triangle for forming a three-dimensional pyramid. The three-dimensional pyramid forming unit 223 can form a surveillance region in the form of a three-dimensional pyramid. At this time, since the camera has different surveillance regions, the installation position, height, surveillance direction, and field of view (FOV) can be parameters for setting the surveillance region. The installation position, height, monitoring direction, and field of view (FOV) of the camera will be described in more detail with reference to FIG.

The position / hardness coordinate transformation unit 224 can extract each vertex using a three-dimensional pyramid and extract a point where the three-dimensional pyramid meets the ground. The up / down co-ordinate transformation unit 224 can convert the point where the three-dimensional pyramid and the ground meet into the up / down co-ordinates.

4 is a view for explaining calculation of effective monitoring distance according to an embodiment of the present invention.

Referring to FIG. 4, the effective monitoring distance calculating unit 222 can calculate the effective monitoring distance using the pinhole camera model based on the magnification set by the monitoring target selection unit 221 in accordance with the purpose. More specifically, the effective monitoring distance calculation unit 222 can calculate the effective monitoring distance using Equations (1) and (2) based on FIG.

는 카메라의 초점거리이고,

는 화소 크기이며,

는 배율(scale factor)이다. 또한,

는 물체의 크기이며,

은 영상의 높이가 100%인 경우의 감시 거리이며,

는 유효 감시 거리이다.
At this time,

Is the focal length of the camera,

Is a pixel size,

Is a scale factor. Also,

Is the size of the object,

Is a monitoring distance when the height of the image is 100%

Is the effective monitoring distance.

)는 카메라 캘리브레이션을 이용하여 구할 수 있으며, 배율(

)은 감시 목적에 따라 정할 수 있다. 우선, 영상의 높이의 100%에 해당하는 거리에서 영상을 촬영하고, 그 때의 감시 거리(

)를 기록한다. 그 후, 원하는 목적에 따라 배율(

)을 정하고, 수학식 1을 이용하여

를 구한다. 마지막으로, 수학식 2를 이용하여 유효 감시 거리(

)를 산출한다.
Camera focus distance (

) Can be obtained using camera calibration, and the magnification (

) May be determined according to the purpose of surveillance. First, an image is taken at a distance corresponding to 100% of the height of the image, and the monitoring distance

). Thereafter, the magnification (

) Is determined, and using Equation (1)

. Finally, using the equation (2), the effective monitoring distance (

).

FIG. 5 is a view for explaining the formation of a three-dimensional pyramid according to an embodiment of the present invention.

는 수직 FOV를 나타내며,

는 수평 FOV를 나타낸다. 또한,

는 카메라의 수직 기울기 각도(Tilt angle),

는 카메라의 높이를 나타낸다.
Referring to FIG. 5, when the camera is viewed from the side,

Lt; / RTI > represents the vertical FOV,

Represents the horizontal FOV. Also,

The vertical tilt angle of the camera,

Represents the height of the camera.

FIG. 6 is a diagram for explaining the calculation of each vertex of a 3D pyramid and the conversion of the vertex / longitude coordinates according to an embodiment of the present invention.

Referring to FIG. 6, since the surveillance region is displayed on the three-dimensional map, the shape changes according to the vertical angle of the camera. Since the representation of coordinates on the map is expressed by using latitude, longitude and altitude, it is necessary to directly calculate the shape change of the triangle at the above viewpoint. Therefore, the changed triangular shape of FIG. 6 can be calculated using Equations (3) to (7).

은 수직 기울기 각도가 90도 일 때, 추가 높이이다.
At this time,

Is an additional height when the vertical tilt angle is 90 degrees.

는 수직 기울기 각도가 90도 일 때, 최소 수평 거리이다.
At this time,

Is the minimum horizontal distance when the vertical tilt angle is 90 degrees.

는 수직 기울기 각도에 따른 수평 거리이다.
At this time,

Is the horizontal distance along the vertical tilt angle.

는 수직 기울기 각도에 따른 추가 높이이다.
At this time,

Is an additional height according to the vertical tilt angle.

는 수직 기울기 각도에 따른 수평 보정각이다.
At this time,

Is the horizontal correction angle according to the vertical tilt angle.

FIG. 7 is a diagram for explaining a surveillance area calculation according to an embodiment of the present invention.

Referring to FIG. 7, FIG. 7 shows a model viewed from the side of the camera. Using FIG. 7, Equation 8 and Equation 9 can be used to find the plane at which the 3D pyramid meets the ground. That is, the surveillance area can be calculated.

는 카메라로부터 3차원 피라미드와 땅이 만나는 지점(

)까지의 거리이다.
At this time,

Is a point from the camera where the 3D pyramid meets the ground

).

는 카메라로부터 3차원 피라미드와 땅이 만나는 지점(

)까지의 거리이다.
At this time,

Is a point from the camera where the 3D pyramid meets the ground

).

FIG. 8 is a view showing a driving screen of an application according to an embodiment of the present invention.

Referring to FIG. 8, the application screen 80 is based on VworldVWorld, a space information open platform provided by the Ministry of Land, Transport and Maritime Affairs, and a surveillance area can be formed by inputting a camera installation angle and height. It is possible to extract an optimal angle and height of the surveillance camera based on the surveillance region formed on the driving screen 80 of the application according to the inputted camera installation angle and height.

More specifically, a latitude 81, a longitude 82, a distance 83, an altitude 84, a horizontal angle 85, Tilt angle 86, hFov 87, and vFOV 88 can be set. At this time, the horizontal pan angle 85 is in the north-south direction and the vertical tilt angle 86 is the vertical angle.

Further, the horizontal pan angle 81 and the vertical tilt angle 86 can be set by the user and can be measured using the IMU sensor. Further, hFov (87) represents the vertical FOV and vFOV (88) represents the horizontal FOV. At this time, hFov (87) and vFOV (88) are specifications of the camera.

In addition, when touching or clicking an arbitrary point, it is possible to display the latitude 81 and the longitude 82 by recognizing the touch or click point as coordinates. At this time, the altitude 84, which is an arbitrary height value, can be preset by the user.

Further, the driving screen 80 of the application can be edited so that the surveillance area can be seen clearly.

9 is a view for explaining a monitoring purpose selection unit according to an embodiment of the present invention.

9, the images of FIG. 9 show the height of the image and the ratio of the person according to the monitoring purpose when the monitoring purpose selection unit 211 selects the monitoring purpose.

The second image 92 is selected when magnification is selected for the purpose of simple observation, and is located at a size corresponding to 25% of the image height. The fourth image 94 is a case where a magnification is selected for the purpose of confirming the identity of a person, and a person is located at a size corresponding to 100% of the height of the image. In addition, the first image 91 is an image when a person is set to a size corresponding to 10% of the image height, and the third image 93 is an image when a person is placed at a size corresponding to 50% Is set to "

FIG. 10 is a flowchart illustrating a camera surveillance area calculation method according to an embodiment of the present invention.

Referring to FIG. 10, the camera installed position estimation module 210 estimates a position where the camera is installed (S110).

Next, the coordinate transformation module 220 converts the surveillance region into up / down coordinates based on the position estimated by the camera installed position estimation module 210 (S120). More specifically, the camera monitoring object is selected, the effective monitoring distance is calculated according to the monitoring purpose, the 3D pyramid is formed based on the effective monitoring distance, and the point intersecting the ground is extracted using the vertex of the 3D pyramid , And convert the extracted intersecting points into the up / down coordinates.

Next, the polygon forming module 230 forms a polygon by connecting the coordinates converted by the coordinate transformation module 220 (S130).

Finally, the surveillance area formation module 240 forms a surveillance area on the three-dimensional map using the polygon formed by the polygon formation module 230 (S140).

11 is a diagram illustrating an experimental result of an application according to an embodiment of the present invention.

Referring to FIG. 11, the upper image in FIG. 11 (a) is the actually photographed image, and the lower image is the surveillance region generated in Vworld using the application. It can be seen that the corner portions of the road almost coincide when the square section 11 of the upper image and the rectangular section 12 of the lower image are viewed.

11 (b) is the actually photographed image, and the lower image is the surveillance region created in Vworld using the application. The rectangular area 13 of the top image and the rectangular area 14 of the bottom image show that the parking areas are almost identical.

While the present invention has been particularly shown and described with reference to exemplary embodiments thereof, it is clearly understood that the same is by way of illustration and example only and is not to be taken by way of limitation in the embodiment in which said invention is directed. It will be understood by those skilled in the art that various changes in form and detail may be made therein without departing from the scope of the appended claims.

100: Input unit
200:
210: camera installation position estimation module
220: Coordinate transformation module
221: Monitoring target selection unit
222: Effective monitoring distance calculating unit
223: 3D pyramid forming unit
224: position / hardness coordinate conversion unit
230: Flickon forming module
240: Surveillance zone module
300:
400: user interface unit
500:

Claims (10)

An input unit for inputting the surveillance camera product information and the surveillance camera installation information to set a position where the surveillance camera is installed before installing the surveillance camera;
When a surveillance camera is installed on a three-dimensional map using information input from the input unit, a control unit
Lt; / RTI >
Wherein,
A surveillance camera installation position estimation module for controlling a display unit to display an area to be photographed according to a position of the surveillance camera to be installed using the information input from the input unit, thereby estimating a location where the surveillance camera is to be installed;
A coordinate conversion module for converting the surveillance area into up / down coordinates;
A polygon forming module for forming a polygon by connecting the converted stiffness / hardness coordinates;
And a monitoring area forming module for forming a monitoring area on the three-dimensional map by using the formed polygon,
Wherein the coordinate transformation module comprises:
A monitoring purpose selecting unit for selecting a monitoring purpose of the camera;
An effective monitoring distance calculating unit for calculating an effective monitoring distance according to the monitoring purpose;
A three-dimensional pyramid-forming unit for forming a three-dimensional pyramid based on the effective monitoring distance; And
And a stomach / hardness coordinate conversion unit for extracting points intersecting the ground using the vertices of the three-dimensional pyramid and converting the extracted intersection points into stomach / hardness coordinates. Camera surveillance area computing device.
The method according to claim 1,
A storage unit for storing information input from the input unit and a monitoring area formed in the control unit;
A display unit for displaying the monitoring area formed on the three-dimensional map; And
Further comprising an interface unit for sensing a user action indicating a user command for forming the surveillance region.
The method according to claim 1,
The surveillance camera product information includes a horizontal and vertical field of view (FOV) and a surveillance distance, and the camera installation information includes at least one of video surveillance information including latitude, longitude, altitude, vertical inclination angle, A camera surveillance area calculation device for a system.
The method according to claim 1,
Wherein,
And forms a monitoring area according to information input from the input unit and estimates a surveillance camera installation position to extract the surveillance area.
delete delete The method according to claim 1,
The effective monitoring distance calculating unit calculates,
A camera surveillance area calculation device for a video surveillance system applying different magnifications according to the surveillance purpose and calculating an effective surveillance distance using a pinhole camera model.
The method according to claim 1,
The effective monitoring distance calculating unit calculates,
A camera surveillance area calculation device for a surveillance system for calculating an effective surveillance distance using the following equation:

here,

Is the focal length of the camera,

Is the pixel size,

Is a scale factor,

Is the size of the object,

Is a monitoring distance when the height of the image is 100%

Is the effective monitoring distance.
Estimating a position at which a surveillance camera is to be installed;
Converting the surveillance region into up / down coordinates based on the estimated position;
Forming a polygon by connecting the converted stomach / hardness coordinates; And
Forming a surveillance region on the three-dimensional map using the formed polygon
Lt; / RTI >
The step of converting to the up /
A camera monitoring object is selected, an effective monitoring distance is calculated in accordance with the monitoring purpose, a three-dimensional pyramid is formed based on the effective monitoring distance, and a point intersecting the ground is extracted using the vertex of the three-dimensional pyramid And converting the extracted intersection points into up / down co-ordinates. delete

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