JP7285105B2 - Image generation device and image generation program - Google Patents

Description

The present invention relates to an image generation device and an image generation program.

When installing a surveillance camera, the arrangement conditions (installation position, posture, angle of view, etc.) of the surveillance camera for achieving a desired monitoring purpose are planned in advance. For example, if it is necessary to photograph the monitored space without blind spots in order to achieve the purpose of monitoring, the conditions for arranging the surveillance cameras are determined so that there are no blind spots. Since there are generally a wide variety of layout conditions, manual planning requires a great deal of labor and depends on the subjectivity and experience of the person who carries out the planning.

Therefore, the applicant of the present invention obtains the spatial range in which the camera can shoot based on the arrangement conditions, obtains an evaluation value that increases as the blind spot in the surveillance space decreases, and changes the arrangement conditions to obtain the highest evaluation value. (Patent Document 1 below).

JP 2018-128961 A

However, under the arrangement conditions determined by the invention of Patent Document 1, it was actually difficult to install in terms of cost. This is because the installation cost of the camera varies depending on, for example, the length of the wiring to be installed, the material and shape of the installation location, and the like. For this reason, the planning person cannot easily determine whether or not it is difficult in terms of cost to install the cameras according to the arrangement conditions determined by the invention of Patent Document 1.
SUMMARY OF THE INVENTION The present invention has been made in view of the above problems, and it is an object of the present invention to make it easier to grasp the cost of installing a camera in a monitored space.

An image generating apparatus according to an aspect of the present invention includes a storage unit that stores spatial information including at least information on the position and shape of each structure existing in a monitored space; An installation candidate for calculating an installation candidate area, which is an area on a structure where a camera for photographing the object to be monitored can be installed, in which the object to be monitored under the conditions of the object to be monitored can be photographed, based on the conditions and the spatial information. An area calculation unit and a cost distribution calculator that calculates the cost of installing a camera in an installation candidate area based on a rule for converting the information for each structure included in the spatial information into the cost of installing the camera on the structure. and an image generator that generates a cost distribution image capable of identifying a cost for each attachment candidate area.

Spatial information may include information about wiring installed in a structure.
The spatial information may include information on at least one of material, surface thickness and strength of the structure.

The cost distribution calculator may calculate the cost based on the height of the structure from the floor or ground surface.
The cost distribution calculator may calculate the cost based on the positional relationship between the position within the attachment candidate area and the monitoring target.

An image generating program according to another aspect of the present invention provides a computer with spatial information including at least information on the position and shape of each structure existing in a monitoring space, monitoring target conditions including the position of a monitoring target, and a mounting candidate area calculation step for calculating a mounting candidate area in which a camera for photographing a monitoring target can be mounted on a structure and in which a monitoring target of the monitoring target condition can be mounted so as to be capable of photographing, based on; a cost distribution calculation step of calculating the cost of installing a camera in an installation candidate area based on a rule for converting information for each structure included in the spatial information into a cost of installing the camera in the structure; and an image generation step of generating a cost distribution image capable of identifying the cost for each region.

An image generating method according to still another aspect of the present invention is characterized in that, for each structure existing in a monitoring space, spatial information including at least information on the position and shape of the structure and monitoring target conditions including the position of the monitoring target are stored in the computer. a mounting candidate area calculation step for calculating a mounting candidate area, which is an area on the structure where a camera for photographing the monitoring object can be mounted, in which the monitoring object of the monitoring object condition can be mounted so as to be capable of photographing, based on a cost distribution calculation step of calculating the cost of installing the camera in the installation candidate area based on a rule for converting the information for each structure included in the spatial information into the cost of installing the camera in the structure; and an image generating step of generating a cost distribution image capable of identifying the cost of each candidate region.

According to the present invention, it becomes easy to grasp the cost when a camera is installed in the monitored space.

1 is a schematic configuration diagram of an example of an image generation device according to an embodiment of the present invention; FIG. FIG. 4 is an explanatory diagram of an example of a monitored space and structures; It is a figure which shows the 1st example of the cost distribution image showing cost distribution at the time of installing a camera in a structure. FIG. 3 is an explanatory diagram of an example of structure information and attribute information; (a) and (b) are explanatory diagrams of an example of a method for calculating a mounting candidate area for mounting a camera on a structure. FIG. 10 is a diagram showing a second example of a cost distribution image representing cost distribution when a camera is installed on a structure; 4 is a flow chart of an example of an image generation method according to an embodiment of the present invention;

Embodiments of the present invention are described below with reference to the drawings. It should be noted that the embodiments of the present invention shown below are examples of apparatuses and methods for embodying the technical idea of the present invention. are not specific to the following: Various modifications can be made to the technical idea of the present invention within the technical scope defined by the claims.

(composition)
Please refer to FIG. The image generation device 10 of the embodiment is configured by, for example, a computer, and includes a storage section 11 and a control section 12 .
The storage unit 11 may include any one of a semiconductor storage device, a magnetic storage device, and an optical storage device. The storage unit 11 may include memories such as a register, a cache memory, a ROM (Read Only Memory) used as a main storage device, and a RAM (Random Access Memory).

The control unit 12 is configured by, for example, a processor such as a CPU (Central Processing Unit) or an MPU (Micro-Processing Unit), and its peripheral circuits.
The functions of the control unit 12 described below are realized, for example, by the processor included in the control unit 12 executing an image generation program 20 that is a computer program stored in the storage unit 11 .

Note that the input device 13 is a mouse operated by a person who carries out camera planning, a person engaged in monitoring, an administrator, etc. (hereinafter referred to as a “planning person, etc.”) in order to control the operation of the image generating device 10 . and keyboard. The input device 13 is connected to the image generation device 10 , and various information is input to the image generation device 10 from the input device 13 .

The image generation device 10 generates a cost distribution image representing the cost distribution when cameras are installed on structures within a predetermined monitored space.
The output device 14 is a display, projector, printer, or the like that outputs the cost distribution image generated by the image generation device 10 .
Please refer to FIG. Now, let's assume planning for installing surveillance cameras in the indoor surveillance space 30 . It should be noted that the present invention can also be applied to planning assuming an outdoor surveillance space.

The monitoring space 30 is surrounded by a relatively low ceiling portion 31a, a relatively high ceiling portion 31b, a floor 32, walls 33, 34 and 35, and a wall 36 (not shown). The low ceiling section 31a, the high ceiling section 31b, the floor 32, and the walls 33 to 36 are examples of structures existing in the monitored space 30. FIG.
Also, in the monitored space 30, there are poles 37 and 38, and line concentrators 39a, 39b and 39c to which video transmission lines and power lines of the cameras can be connected. The concentrators 39a, 39b, and 39c may be, for example, controllers (control devices), recorders (recording devices), power supply devices, and the like. These pillars 37 and 38 and concentrators 39 a - 39 c are examples of structures within the monitored space 30 .

The image generation device 10 generates, for example, a cost distribution image 40 shown in FIG. 3 based on the attribute information representing the attributes of these structures. A cost distribution image 40 illustrated in FIG. 3 represents the cost distribution when cameras are installed on the surfaces of the low ceiling section 31a and the high ceiling section 31b facing the monitoring space 30 side.
The cost distribution image 40 when cameras are installed in the low ceiling portion 31a and the high ceiling portion 31b will be described below. , pillars 37 and 38, a cost distribution image representing the cost distribution on the surfaces of the pillars 37 and 38 may be generated.

A region 41 hatched with grains and a region 42 hatched with light oblique lines indicate the installation cost when the camera is installed in the low ceiling section 31a. A region 43 hatched with thick oblique lines and a region 44 hatched with lattice pattern indicate the installation cost when the camera is installed in the high ceiling section 31b.
The cost in area 41 is lower than the cost in area 42 . The cost in area 42 is lower than the cost in area 43 . Also, the cost in region 43 is lower than the cost in region 44 .

The cost in region 41 is lower than the cost in region 42 because region 41 is closer to concentrators 39a and 39b than region 42 and therefore has less wiring cost.
Also, the reason why the cost in the area 43 is lower than the cost in the area 44 is that the area 43 is closer to the concentrator 39c than the area 44, and the wiring cost is lower.

Also, the reason why the cost in the regions 43 and 44 is higher than the cost in the regions 41 and 42 is that the construction cost for installing the camera in the high ceiling portion 31b is higher than the construction cost for installing the camera in the low ceiling portion 31a. is. As described above, the cost in this embodiment is the installation cost obtained from the wiring cost and construction cost when the camera is installed, and the cost distribution is the distribution of the cost calculated on the surface of the structure existing in the monitoring space 30. is.
The image generation device 10 generates such a cost distribution image 40 and outputs it from the output device 14 . As a result, it becomes easier for a planning person or the like to grasp the cost of installing a camera in the monitored space 30 .

Details of the image generating apparatus 10 will be described below. Please refer to FIG. In addition to the image generation program 20 described above, the storage unit 11 stores structure information 21 , attribute information 22 and monitoring target information 23 . Information combining the structure information 21 and the attribute information 22 is an example of spatial information in the present invention. The spatial information includes at least position and shape information of each structure, and preferably further includes attributes of each structure.
The structure information 21 is three-dimensional geometric shape data (that is, a three-dimensional model) representing the positions and shapes of real-world structures surrounding the monitored space 30 or existing within the monitored space 30 . A structure is, for example, a building, a ground, or an object such as an obstacle (furniture, tree, etc.). In the example of the monitored space 30 in FIG. 2, the structure information 21 includes the positions and shapes of the low ceiling section 31a and high ceiling section 31b, the floor 32, the walls 33 to 36, the columns 37 and 38, and the line concentrators 39a to 39c. show.

The attribute information 22 is attribute data representing attributes of such a structure. In the example of the monitored space 30 in FIG. 2, the attribute information 22 includes the low ceiling portion 31a and the high ceiling portion 31b, the floor 32, the walls 33 to 36 (however, the front wall 36 is not shown), the pillars 37 and 38, It represents the attributes of the concentrators 39a-39c.
The structure attribute data may include, for example, the type, material, thickness, and strength of the structure.

The attribute data may include type data representing types such as "ceiling", "wall", "door", and "pillar". The attribute data may also include information on whether or not the structure functions as a "line concentrator" and information on the position of the port that connects the wiring, that is, information on the wiring installed in the structure.
In addition, material data representing materials such as "gypsum board" and "steel frame" may be included. The attribute information 22 may include attribute data indicating whether or not the camera can be attached.

Such structure information 21 and attribute information 22 are set and registered in advance from the input device 13 by a planning person or the like and stored in the storage unit 11 .
FIG. 4 shows structure information 21 and attribute information 22 of the structures in the monitored space 30 of FIG. 1 is a schematic diagram showing the .

Please refer to FIG. The monitoring target information 23 includes monitoring target condition data relating to the monitoring target, which is an object to be monitored placed in the monitoring space 30, and attribute data such as the material of the monitoring target.
The monitoring target condition data includes, for example, the position where the monitoring target is arranged in the monitoring space 30, the three-dimensional shape of the monitoring target, the direction of the monitoring target, the monitoring direction of the monitoring target, and the required resolution of the image required for monitoring the monitoring target. may contain
The monitoring target information 23 is stored in the storage unit 11 when the monitoring target condition data and attribute data of the monitoring target are set by the control unit 12 as necessary. Note that the monitoring target information 23 may be coordinate information of a monitoring point, which is a position to be monitored.

The control unit 12 reads the structure information 21 and the attribute information 22 stored in the storage unit 11 . Further, the control unit 12 reads and executes the image generation program 20 stored in the storage unit 11, and functions as a cost distribution calculation unit 24, a monitoring target setting unit 25, an attachment candidate area calculation unit 26, and an image generation unit 27. do.
Based on the structure information 21 and the attribute information 22, the cost distribution calculation unit 24 identifies the surface of the structure existing in the monitored space 30 on which the camera can be attached.

For example, the cost distribution calculation unit 24 may identify a surface on which a camera can be attached based on attribute data indicating whether or not a camera can be attached, which is included in the attribute information 22 .
Alternatively, the type of structure to which the camera can be attached is set in advance for each type of camera, and the surface to which the camera can be attached is specified based on the type data of the structure included in the attribute information 22. good.

Then, the cost distribution calculation unit 24 divides the surface on which the camera can be attached into unit areas of a predetermined size.
Next, the cost distribution calculator 24 calculates the camera installation cost for each unit area based on the attribute information 22 . The cost distribution calculator 24 may calculate the installation cost using the structure information 21 in addition to the attribute information 22 . The size of the unit area may be appropriately determined according to the degree of detail desired to be presented by the cost distribution image. Preferably, the size is set to be smaller than the installation surface of the camera mounting device (eg, 10×10 cm). Also, the cost may be calculated as the cost for attaching to the center of gravity of the unit area, for example.

For example, the cost distribution calculation unit 24 may calculate the installation cost as the construction cost for attaching the camera to the unit area.
For example, the cost distribution calculator 24 may calculate construction costs based on attribute data such as material, thickness, shape, and strength included in the attribute information 22 . For example, construction methods, tools, and fittings suitable for attributes such as material, thickness, shape, and strength are stored in advance in the storage unit 11 as parameters in association with attribute data. In addition, the storage unit 11 stores in advance the costs for using each of the construction method, tools, and fittings.

The cost distribution calculation unit 24 may calculate the construction cost according to a conversion rule for accumulating the usage costs of the construction method, tools, and fittings associated with the attribute data.
Also, the construction cost may include the cost of using necessary equipment required to attach the camera to each unit area. An example of the required equipment is an aerial work platform for mounting cameras at heights. The cost distribution calculator 24 may determine the height from the floor surface to each unit area based on the structure information 21 and calculate the usage cost of the required equipment.
For example, the required height of the aerial work platform and the cost of using it may be stored in advance in the storage unit 11 as parameters. The cost distribution calculation unit 24 may calculate the construction cost according to a conversion rule for determining whether or not to add the usage cost of the aerial work platform according to the height of the unit area from the floor (ground).

Further, the cost distribution calculation unit 24 may calculate the wiring cost of the video transmission line and the power line of the camera attached to the unit area as the installation cost. The cost distribution calculator 24 may calculate the total installation cost and wiring cost as the installation cost.
For example, the wiring cost per unit length may be stored in advance in the storage unit 11 as a parameter.
The cost distribution calculation unit 24 identifies the positions of the concentrators 39a to 39c based on the structure information 21 and the attribute information 22, and uses a given route determination method to determine the distance from each unit area to the concentrators 39a to 39c. Determine the wiring route. The cost distribution calculator 24 may calculate the wiring cost according to a conversion rule that multiplies the wiring route length (for example, the shortest route length) by the wiring cost per unit length.

Then, the image generator 27 generates a cost distribution image 40 representing the distribution of installation costs on the surface of the structure, and outputs it from the output device 14 (see FIG. 3).
The cost distribution image 40 may be, for example, a grid-like distribution map representing the cost for each unit area. Also, in order to make the distribution easier to understand, each cost may be displayed in a different color if necessary. As shown in FIG. 3, the type of hatching may be divided for each cost.

The monitoring target setting unit 25 sets monitoring targets as necessary. Specifically, monitoring target condition data for arranging the monitoring target in the monitoring space 30 and attribute data such as the material of the monitoring target are set.
For example, the monitoring target setting unit 25 sets monitoring target condition data and attribute data of a monitoring target based on data input by a planning executor or the like using the input device 13 .
The monitoring target setting unit 25 may set a plurality of monitoring targets.

The installation candidate area calculation unit 26 calculates an installation candidate area for attaching the camera to the structure based on at least the monitoring target condition data of the monitoring target and the structure information 21 .
For example, the mounting candidate area calculation unit 26 determines whether or not light rays reach the monitoring target without being blocked by other structures, assuming that a light source is arranged in each unit area.

The attachment candidate area calculation unit 26 calculates, as an attachment candidate area, a set of unit areas in which the light sources emitting the light rays reaching the monitoring target are arranged.
At this time, the mounting candidate area calculation unit 26 may determine the allowable maximum distance from the monitoring target to the camera according to the required resolution specified in the monitoring target condition data of the monitoring target. The attachment candidate area calculator 26 may exclude an area that is further than the maximum allowable distance from the attachment candidate area.

Further, the attachment candidate area calculation unit 26 may calculate the attachment candidate area according to the monitoring direction of the monitoring target specified by the monitoring target condition data.
Please refer to (a) of FIG. The columns 37 and 38 and the concentrators 39a-39c have been omitted for clarity.
For example, the mounting candidate area calculation unit 26 calculates the trajectory of a half line that forms an allowable angle θ (0°≦θ<90°) with the reference straight line 51 extending in the monitoring direction with one end at a monitoring point on the surface of the object 50 to be monitored. A conical space 53 formed by is calculated. The recommended monitoring direction is the direction toward the outside of the monitored object, and the conical space 34 is a space including the reference straight line. The permissible angle θ indicates the permissible range of the direction in which the object to be monitored is photographed.

Then, the mounting candidate area calculation unit 26 calculates a partial space of the cone-shaped space 53 that does not overlap with the space occupied by the structure as a photographable space to be monitored. However, the conical space 53 is regarded as the space generated by the spotlight light source, and the space shaded by the structure is excluded from the photographable space. In other words, the space that is the blind spot of the structure when viewed from the monitoring point is excluded from the photographable space.
The attachment candidate area calculation unit 26 calculates an area of the surface of the structure that is in contact with the photographable space as an attachment candidate area. In the example of FIG. 5A, a region 54 of the low ceiling portion 31a that is in contact with the photographable space is calculated as the mounting candidate region.

The attachment candidate area calculation unit 26 may determine the allowable maximum distance from the monitoring target to the camera according to the required resolution specified in the monitoring target condition data of the monitoring target.
Please refer to FIG. 5(b). The attachment candidate area calculation unit 26 calculates an area 56 excluding an area 55 that is more than the allowable maximum distance as an attachment candidate area.

Please refer to FIG. The image generation unit 27 displays the installation cost of the unit area overlapping the mounting candidate area among the unit areas for which the installation cost is calculated so as to be identifiable, and creates a cost distribution image 40 in which the installation cost of the other unit areas is not displayed. Generate. That is, the image generator 27 generates the cost distribution image 40 that does not display the installation costs of the unit areas that do not overlap with the attachment candidate areas in the cost distribution image 40 of FIG. 3 .

Please refer to FIG. Reference numerals 50a, 50b and 50c denote objects to be monitored, and reference numerals 56a, 56b and 56c denote mounting candidate areas for attaching cameras to structures for photographing the objects to be monitored 50a, 50b and 50c. The area corresponding to the low ceiling section 31a and the area corresponding to the high ceiling section 31b may be color-coded so that they can be distinguished from each other. In the example of the cost distribution image 40 in FIG. 6, the area corresponding to the high ceiling section 31b is hatched.
As shown, only the costs of unit areas overlapping with the attachment candidate areas 56a, 56b and 56c are displayed, and unit areas not overlapping with the attachment candidate areas 56a, 56b and 56c are excluded. The image generator 27 outputs the cost distribution image 40 from the output device 14 .

The cost distribution calculator 24 may correct the installation cost in each unit area according to the monitoring target condition data of the monitoring target.
For example, the installation cost may be corrected according to the performance of the camera required to photograph the monitored object from the position of each unit area. For example, unless the camera has a long distance from the position of the unit area to the monitored object and a large number of shooting pixels, the installation cost increases if the required resolution specified by the monitored object condition data cannot be satisfied. Therefore, the cost distribution calculator 24 may correct the installation cost by the increased camera cost. That is, the cost distribution calculator 24 may correct the installation cost according to the distance between each unit area and the monitoring target. In other words, the cost distribution calculator 24 may correct the installation cost based on the positional relationship with the monitored object.

In addition, when the areas overlap like the mounting candidate areas 56a and 56b in FIG. 6 and the cameras installed in the overlapping areas can simultaneously photograph a plurality of monitoring targets, the plurality of monitoring targets 50a and 50b can be photographed simultaneously. A camera can be installed in For this reason, for example, the installation cost per camera may be divided between the plurality of monitoring targets 50a and 50b to obtain the installation cost for each monitoring target.
That is, the cost distribution calculation unit 24 may calculate the installation cost for the range where the mounting candidate areas overlap from the installation cost calculated when the mounting candidate areas do not overlap. For example, if one camera can photograph two objects to be monitored at the same time, the installation cost of the overlapping area may be half the cost of the area where the mounting candidate areas do not overlap.

In addition, the image generation unit 27 is not limited to generating a cost distribution image 40 that identifiably represents the camera installation cost in each unit area within the mounting candidate areas 56a, 56b, and 56c as shown in FIG. , a cost distribution image 40 may be generated that identifiably represents the representative value of the cost for each attachment candidate area.
For example, using the highest and lowest costs (or the price difference between the highest and lowest prices) for each unit area in the installation candidate area as the representative value of the cost, these representative values are identified for each installation candidate area. A cost distribution image that can be displayed may be generated.
The cost distribution calculation unit 24 calculates the installation cost in each unit area in the attachment candidate area calculated by the attachment candidate area calculation unit 26, obtains the cost distribution in the attachment candidate area, and the image generation unit 27 A cost distribution image 40 may be generated based on the cost distribution.

(motion)
An example of the image generation method of the embodiment will be described with reference to FIG.
In step S1, prior to designing the camera installation position, the structure information 21 and the attribute information 22 of the structure existing in the monitored space 30 are acquired or generated, and set and registered in the storage unit 11 of the image generation device 10. .
The control unit 12 reads the structure information 21 and the attribute information 22 stored in the storage unit 11 .

In step S<b>2 , the cost distribution calculation unit 24 identifies a surface on which a camera can be attached among the surfaces of the structure facing the monitored space 30 based on the structure information 21 and the attribute information 22 . The cost distribution calculator 24 divides the surface on which the camera can be attached into unit areas of a predetermined size.
In step S3, the cost distribution calculation unit 24 calculates installation costs when cameras are installed in each unit area based on the structure information 21 and the attribute information 22. FIG.

In step S4, the monitoring target setting unit 25 determines whether or not to set a monitoring target. If the monitoring target is not set (step S4: N), the process proceeds to step S7. In this case, the image generator 27 generates a cost distribution image 40 representing the cost distribution over the entire surface of the structure facing the monitored space 30, as shown in FIG. After outputting the cost distribution image 40 to the output device 14, the image generator 27 terminates the process.

If a monitoring target is set in step S4 (step S4: Y), the monitoring target setting unit 25 sets monitoring target condition data and attribute data such as material of the monitoring target, and the process proceeds to step S5.
In step S5, the mounting candidate area calculation unit 26 calculates a mounting candidate area for mounting the camera to the structure based on at least the monitoring target condition data of the monitoring target and the structure information.

In step S6, the cost distribution calculator 24 corrects the installation cost in each unit area according to the monitoring target condition data of the monitoring target.
In step S7, the image generation unit 27 generates a cost distribution image 40 by leaving the unit areas overlapping with the mounting candidate areas among the unit areas for which the installation costs have been calculated and excluding the other unit areas, as shown in FIG. Generate. After outputting the cost distribution image 40 to the output device 14, the image generator 27 terminates the process.

(Effect of Embodiment)

(1) The storage unit 11 stores space information including at least structure information 21 representing the position and shape of each structure existing in the monitored space. The installation candidate area calculation unit 26 calculates an installation candidate area for attaching a camera for capturing an image of a monitoring target to a structure based on the monitoring target condition including the position of the monitoring target and the structure information. The cost distribution calculation unit 24 calculates the cost distribution when the camera is mounted within the mounting candidate area, based on the rule for converting the structure information included in the spatial information into the cost of mounting the camera on the structure. The image generator 27 generates a cost distribution image 40 representing cost distribution.

This makes it easier for a person who carries out planning to grasp the cost of installing a camera in the monitored space. For example, a planning executor or the like can grasp the distribution of camera installation costs calculated according to the structure of the structure in which the camera is installed.
In addition, the person who carries out the planning can grasp the installation candidate area of the camera capable of photographing the monitoring target and the installation cost in the installation candidate area.

(2) The spatial information further includes attribute information 22, and the attribute information 22 may include information related to wiring installed in the structure. With this, it is possible to calculate a cost distribution reflecting the wiring cost of the video transmission line and the power line connected to the camera.
(3) The attribute information 22 may include information on at least one of the material, surface thickness, and strength of the structure. This makes it possible to calculate a cost distribution that reflects the construction costs according to the construction method, tools, and mounting brackets used when mounting the camera.

(4) The cost distribution calculator 24 may calculate the cost distribution based on the height of the structure from the floor or ground surface. Accordingly, it is possible to calculate a cost distribution that reflects the cost of using the equipment required by the height of the mounting position of the camera.
(5) The cost distribution calculator 24 may calculate the cost distribution based on the positional relationship between the position within the attachment candidate area and the monitoring target. Thereby, it is possible to calculate the cost distribution reflecting the installation cost according to the positional relationship with the monitoring target.

DESCRIPTION OF SYMBOLS 10... Image generation apparatus 11... Storage part 12... Control part 13... Input device 14... Output device 20... Image generation program 21... Structure information 22... Attribute information 23... Monitoring object information 24 ... Cost distribution calculation unit 25 ... Monitoring target setting unit 26 ... Installation candidate area calculation unit 27 ... Image generation unit 30 ... Monitoring space 31a ... Low ceiling section 31b ... High ceiling section 32 ... Floor 33 ~ 36... walls, 37, 38... pillars, 39a to 39c... line concentrators, 40... cost distribution image

Claims (7)

a storage unit for storing spatial information including at least information on the position and shape of each structure existing in the monitored space;
Based on the monitoring target condition including the position of the monitoring target and the spatial information, it is possible to capture the monitoring target under the monitoring target condition in the area on the structure where the camera for capturing the image of the monitoring target is mounted. an attachment candidate area calculation unit that calculates an attachment candidate area that can be attached to the
A cost distribution for calculating the cost when the camera is mounted in the mounting candidate area based on a rule for converting the information for each structure included in the spatial information into a cost for mounting the camera on the structure. a calculation unit;
an image generation unit that generates a cost distribution image capable of identifying the cost for each of the mounting candidate areas;
An image generating device comprising: 2. The image generating apparatus according to claim 1, wherein the spatial information includes information about wiring installed in the structure. 3. The image generating apparatus according to claim 1, wherein the spatial information includes at least one information of material, surface thickness and strength of the structure. 4. The image generation apparatus according to claim 1, wherein the cost distribution calculation unit calculates the cost based on the height of the structure from the floor surface or the ground surface. The image generation according to any one of claims 1 to 4, wherein the cost distribution calculation unit calculates the cost based on a positional relationship between a position within the attachment candidate area and the monitoring target. Device. to the computer,
For each structure existing in the monitored space, a camera is installed for photographing the object to be monitored based on spatial information including information on at least the position and shape of the structure and conditions for the object to be monitored including the position of the object to be monitored. a mounting candidate region calculation step of calculating a mounting candidate region, which is a region on the structure and in which the monitoring target under the monitoring target condition can be mounted so as to be photographable;
A cost distribution for calculating the cost when the camera is mounted in the mounting candidate area based on a rule for converting the information for each structure included in the spatial information into a cost for mounting the camera on the structure. a calculation step;
an image generating step of generating a cost distribution image capable of identifying the cost for each of the mounting candidate areas;
An image generation program characterized by executing to the computer,
For each structure existing in the monitored space, a camera is installed for photographing the object to be monitored based on spatial information including information on at least the position and shape of the structure and conditions for the object to be monitored including the position of the object to be monitored. a mounting candidate region calculation step of calculating a mounting candidate region, which is a region on the structure and in which the monitoring target under the monitoring target condition can be mounted so as to be photographable;
A cost distribution for calculating the cost when the camera is mounted in the mounting candidate area based on a rule for converting the information for each structure included in the spatial information into a cost for mounting the camera on the structure. a calculation step;
an image generating step of generating a cost distribution image capable of identifying the cost for each of the mounting candidate areas;
An image generation method characterized by executing

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