Indoor damage status calculation system and indoor damage status calculation program

Abstract

To easily calculate an actual indoor damage state due to an earthquake.SOLUTION: The indoor damage status calculation system 10 includes a video data acquisition unit 16 for acquiring video data 12 of an indoor area in a disaster area, an edge detection unit 18 configured to detect an edge in the video data 12, a linear component detection unit 24 configured to detect a linear component by performing image conversion processing on the detected edge, and an indoor damage status calculation unit 28 configured to calculate an indoor damage status based on the detected linear component.SELECTED DRAWING: Figure 1

Description

[Technical Field]

[0001] The present invention relates to a system and a program for calculating the damage status of rooms in an earthquake-stricken area. [Background technology]

[0002] In earthquake-stricken areas, indoor damage such as furniture and fixtures falling over and ceilings and walls collapsing can occur, making it difficult to continue using rooms and buildings. In order to respond to recovery efforts, there is a need to quickly assess the extent of such indoor damage caused by the earthquake.

[0003] In response to this, a method is known for estimating and evaluating the degree of damage inside a room through simulation based on various data (see, for example, Patent Document 1). [Prior art documents] [Patent documents]

[0004] [Patent Document 1] Japanese Patent Application Laid-Open No. 2007-109107 Summary of the Invention [Problem to be solved by the invention]

[0005] However, the above-mentioned method does not evaluate the actual indoor damage caused by an earthquake. Furthermore, the above-mentioned method requires the use of a computer with high processing power due to the large amount of data and complex calculations, which may be difficult to implement when a disaster occurs. For example, an earthquake may restrict network access, making it impossible to use computers such as servers with high processing power. The present invention has been made in consideration of the above problems, and aims to provide a system and program that can easily calculate the actual indoor damage caused by an earthquake. [Means for solving the problem]

[0006] The present invention solves the above problem by providing an indoor damage situation calculation system that includes a video data acquisition unit for acquiring video data of indoor spaces in disaster-stricken areas, an edge detection unit configured to detect edges in the video data, a straight line component detection unit configured to perform image conversion processing on the detected edges to detect straight line components, and an indoor damage situation calculation unit configured to calculate the damage situation inside the room based on the detected straight line components.

[0007] The inventors analyzed edges detected from video data of indoor areas in disaster-stricken areas and noticed that the continuity of edges varied depending on the object in the video. They came up with the idea of ​​detecting continuous edges as straight lines. They then performed further image processing on the edges to calculate the damage situation inside the room based on the detected straight line components. The indoor damage situation calculation system described above calculates the indoor damage situation based on the straight line components obtained from video data of indoor areas in disaster-stricken areas, allowing for calculation of the actual indoor damage situation caused by the earthquake. Furthermore, the image conversion process required to detect straight line components from edges requires minimal computational effort. Therefore, indoor damage can be easily calculated with minimal computational effort. For example, even when network access is restricted due to an earthquake, indoor damage can be calculated using only the computers of relatively small devices such as surveillance cameras or monitoring cameras, making the system highly versatile. Furthermore, damage can be calculated without transmitting indoor video data over a network, which also offers the advantage of protecting privacy.

[0008] The indoor damage situation calculation system may further include an edge strength calculation unit configured to calculate the edge strength of the detected edges and an edge selection unit configured to select edges based on the edge strength, and the straight line component detection unit may be configured to detect straight line components by performing image conversion processing on the selected edges. Relatively large objects such as furniture are considered to have a large impact on indoor damage. The inventors have noted that edges detected from relatively large objects such as bookshelves and tables have strong edge strength, making it easy to detect straight line components from continuous edges, while it is difficult to detect straight line components from edges such as tableware and wood grain on floors. By selecting edges with edge strength equal to or greater than a predetermined value, indoor damage situations can be calculated, focusing primarily on relatively large objects such as furniture.

[0009] The indoor damage situation calculation system may further include a line component selection unit configured to select line components based on the lengths of the detected line components, and the indoor damage situation calculation unit may be configured to calculate the indoor damage situation based on the selected line components. The inventors have noticed that line components corresponding to relatively large objects such as furniture, such as bookshelves and tables, are relatively long, while line components corresponding to tableware, wood grain on the floor, etc. are relatively short. By selecting line components whose length is equal to or greater than a predetermined value, it is possible to calculate the indoor damage situation, focusing mainly on relatively large objects such as furniture.

[0010] The indoor damage situation calculation unit may also be configured to calculate the indoor damage situation based on the number of detected line components that are inclined within a predetermined angle range. Many line components detected from objects such as furniture and fixtures that have fallen over due to an earthquake are inclined. Therefore, the indoor damage situation can be calculated based on the number of line components that are inclined within a predetermined angle range. For example, the indoor damage situation calculation unit may be configured to calculate the indoor damage situation based on the difference or ratio between the number of line components that are inclined within a predetermined angle range before the earthquake and after the shaking has subsided.

[0011] The indoor damage situation calculation unit may also be configured to repeatedly calculate the number of detected linear components that are inclined within a predetermined angle range and calculate the indoor damage situation based on the maximum number of linear components that are inclined within the predetermined angle range. Depending on the type of overturning, for example, furniture that was installed vertically may overturn to a nearly horizontal position due to the shaking of an earthquake. In such cases, horizontal or vertical linear components may be detected from the furniture before the overturning, and vertical or nearly horizontal linear components may be detected from the same furniture after the overturning. Meanwhile, during the overturning process, there is a high possibility that inclined linear components will be detected from this furniture. By repeatedly calculating the number of inclined linear components that are inclined within a predetermined angle range and calculating the indoor damage situation based on the maximum number of inclined linear components, it is possible to calculate the indoor damage situation that reflects such types of overturning.

[0012] The indoor damage situation calculation unit may also be configured to calculate the indoor damage situation by weighting the detected straight line components according to their inclination angle. Many straight line components detected from objects such as furniture and fixtures before an earthquake are close to horizontal or vertical, while many straight line components detected from objects such as furniture and fixtures after an earthquake are inclined within a predetermined angle (for example, about 45°) relative to the horizontal or vertical. By calculating the damage situation by weighting the detected straight line components according to their inclination angle, the indoor damage situation can be accurately calculated.

[0013] The indoor damage situation calculation unit may also be configured to calculate the indoor damage situation by weighting the detected line components according to their lengths. Objects with long detected line components are considered to be large in size and to cause significant damage to the room. By calculating the damage situation by weighting the detected line components according to their lengths, the indoor damage situation can be accurately calculated.

[0014] In addition, the present invention solves the above problem by providing an indoor damage situation calculation program that causes a computer to function as an edge detection unit configured to detect edges in video data, a straight line component detection unit configured to perform image conversion processing on the detected edges to detect straight line components, and an indoor damage situation calculation unit configured to calculate the indoor damage situation based on the detected straight line components. [Effects of the Invention]

[0015] According to the present invention, the actual damage situation inside a room due to an earthquake can be easily calculated. [Brief explanation of the drawings]

[0016] [Figure 1] FIG. 1 is a block diagram showing a schematic configuration of an indoor damage situation calculation system according to a first embodiment of the present invention. [Figure 2] Flowchart showing how to use the indoor damage calculation system [Figure 3] Schematic image of the room before the earthquake [Figure 4] A schematic diagram showing the image inside the room after the earthquake shaking has subsided. [Figure 5] A schematic diagram showing the linear components obtained from images taken before the earthquake occurred. [Figure 6] A schematic diagram showing the linear components obtained from images taken after the earthquake shaking has subsided. DETAILED DESCRIPTION OF THE INVENTION

[0017] 1 shows an indoor damage situation calculation system 10 according to a first embodiment of the present invention. The indoor damage situation calculation system 10 includes an input unit 14 for inputting video data 12 of a room in a disaster area, a video data acquisition unit 16 for acquiring the video data 12, an edge detection unit 18 configured to detect edges in the video data 12, an edge strength calculation unit 20 configured to calculate the edge strength of the detected edges, an edge selection unit 22 configured to select edges based on the edge strength, a straight line component detection unit 24 configured to perform image conversion processing on the detected edges to detect straight line components, a straight line component selection unit 26 configured to select straight line components based on the lengths of the detected straight line components, an indoor damage situation calculation unit 28 configured to calculate the indoor damage situation based on the selected straight line components, and an output unit 30 for outputting the calculated indoor damage situation.

[0018] The indoor damage situation calculation system 10 is a computer system. Alternatively, a single computer may include the input unit 14, the image data acquisition unit 16, the edge detection unit 18, the edge intensity calculation unit 20, the edge selection unit 22, the straight line component detection unit 24, the straight line component selection unit 26, the indoor damage situation calculation unit 28, and the output unit 30. Alternatively, some or all of the input unit 14, the image data acquisition unit 16, the edge detection unit 18, the edge intensity calculation unit 20, the edge selection unit 22, the straight line component detection unit 24, the straight line component selection unit 26, the indoor damage situation calculation unit 28, and the output unit 30 may be included in different computers connected via a network. The damage situation estimation system 10 includes a computer program that causes a computer or computer system to function as the image data acquisition unit 16, the edge detection unit 18, the edge intensity calculation unit 20, the edge selection unit 22, the straight line component detection unit 24, the straight line component selection unit 26, and the indoor damage situation calculation unit 28 to calculate the indoor damage situation.

[0019] The video data 12 is, for example, video captured by a surveillance camera or a monitoring camera installed indoors in a building in the disaster area. The video data 12 may also be video captured by a smartphone or the like. The video data 12 is not limited to video captured by a visible light camera, but may also be video captured by an infrared camera such as a thermographic camera. The input unit 14 is a part of the indoor damage situation calculation system 10 to which the video data 12 is input. The video data acquisition unit 16 is a part that acquires the video data 12 input to the input unit 14 for processing the computer program. The video data acquisition unit 16 may also serve as the input unit.

[0020] The edge detection unit 18 is configured to detect edges based on the luminance difference between pixels in the video data 12. The edge strength calculation unit 20 is configured to calculate the strength of an edge based on the magnitude of the luminance difference between pixels in the video data 12. The edge selection unit 22 is configured to select edges whose edge strength is greater than a predetermined threshold.

[0021] The straight line component detection unit 24 is configured to detect straight line components by performing image transformation processing such as a Hough transform on the edges selected by the edge selection unit 22. The straight line component detection unit 24 is also configured to calculate the length of the straight line component. For example, the straight line component detection unit 24 is configured to detect straight line components from the overlap of multiple straight line components. The straight line component selection unit 26 is configured to select straight line components whose length is longer than a predetermined threshold from the detected straight line components.

[0022] The indoor damage situation calculation unit 28 is configured to calculate the indoor damage situation based on the linear components selected by the linear component selection unit 26. Specifically, the indoor damage situation calculation unit 28 calculates the number of inclined linear components that are inclined within a predetermined angle range (e.g., 25° to 65°) from the horizontal or vertical among the linear components obtained from the video before the earthquake occurred. The indoor damage situation calculation unit 28 also calculates the number of inclined linear components that are inclined within a predetermined angle range from the horizontal or vertical among the linear components obtained from the video after the earthquake shaking has subsided. The indoor damage situation calculation unit 28 is then configured to calculate the indoor damage situation based on the difference or ratio between the number of inclined linear components before the earthquake occurred and after the shaking has subsided. For example, the indoor damage situation calculation unit 28 is configured to identify which of the ranges of difference in the number of inclined linear components before the earthquake occurred and after the shaking has subsided falls within a predetermined threshold, and to classify the damage level as low damage, medium damage, or high damage depending on the range of the identified difference in the number of inclined linear components. The output unit 30 is a part of the indoor damage situation calculation system 10 that outputs the calculation results of the indoor damage situation calculation unit 28.

[0023] Next, a method for using the indoor damage situation calculation system 10 will be described with reference to the flowchart in Figure 2. First, video data 12 of the disaster area is input to the input unit 14 (S102), and the video data acquisition unit 16 acquires the video data 12 (S104). Figure 3 is an example of a video showing the indoor situation before the earthquake occurred. Meanwhile, Figure 4 is an example of a video showing the indoor situation after the earthquake shaking has subsided. Next, the edge detection unit 18 detects edges based on the brightness difference between pixels in the video data 12 (S106). Furthermore, the edge strength calculation unit 20 calculates the strength of the edge based on the magnitude of the brightness difference between pixels in the video data 12 (S108). Then, the edge selection unit 22 selects edges whose edge strength is greater than a predetermined threshold (S110).

[0024] Next, the straight line component detection unit 24 performs image transformation processing such as a Hough transform on the edges selected by the edge selection unit 22 to detect straight line components (S112). At this time, the straight line component detection unit 24 calculates the length of the straight line components. Furthermore, the straight line component selection unit 26 selects straight line components whose length is longer than a predetermined threshold from the detected straight line components (S114). Figure 5 schematically shows straight line components obtained from video footage before the earthquake occurred. Figure 6 also shows straight line components obtained from video footage after the earthquake shaking has subsided. The thick straight lines shown in Figures 5 and 6 are straight line components selected by the straight line component selection unit 26.

[0025] Next, the indoor damage situation calculation unit 28 calculates the indoor damage situation based on the linear components selected by the linear component selection unit 26 (S116). Specifically, the indoor damage situation calculation unit 28 calculates the number of inclined linear components that are inclined within a predetermined angle range (for example, 25° to 65°) from the horizontal or vertical among the linear components obtained from the video before the earthquake occurred. The indoor damage situation calculation unit 28 also calculates the number of inclined linear components that are inclined within a predetermined angle range from the horizontal or vertical among the linear components obtained from the video after the earthquake shaking has subsided. The indoor damage situation calculation unit 28 then quantitatively calculates the indoor damage situation based on the difference or ratio between the number of inclined linear components before the earthquake occurred and after the earthquake shaking has subsided. In the example of FIG. 5, among the linear components obtained from the video before the earthquake occurred, one linear component surrounded by an ellipse is inclined within a predetermined angle range. On the other hand, in the example of FIG. 6, among the linear components obtained from the video after the earthquake shaking has subsided, four linear components surrounded by an ellipse are inclined within a predetermined angle range. Therefore, in this example, the difference in the number of inclined linear components before the earthquake occurs and after the earthquake shaking has subsided is 3. Also, in this example, the ratio of the number of inclined linear components before the earthquake occurs and after the earthquake shaking has subsided is 4. Furthermore, the indoor damage situation calculation unit 28 determines to which range of difference in the number, defined by a predetermined threshold, the difference in the number of inclined linear components before the earthquake occurs and after the earthquake shaking has subsided belongs, and determines the damage level as low, medium, or high depending on the range of difference in the number of inclined linear components determined. For example, if the difference in the number of inclined linear components before the earthquake occurs and after the earthquake shaking has subsided is 1 to 2, the damage level is determined to be low; if it is 3 to 4, the damage level is determined to be medium; and if it is 5 or more, the damage level is determined to be high. As described above, in the examples of Figures 5 and 6, the difference in the number of inclined linear components before the earthquake occurs and after the earthquake shaking has subsided is 3, so the damage level is determined to be medium. In addition, the indoor damage situation calculation unit 28 may identify to which range of number ratios divided by a predetermined threshold the ratio of the number of inclined straight line components before the earthquake occurs and after the earthquake shaking has subsided belongs, and may determine the level of damage as small, medium, or large depending on the range of the identified ratio of the number of inclined straight line components.Furthermore, instead of determining the damage level grade, the indoor damage situation calculation unit 28 may calculate the difference in the number of inclined straight line components before the earthquake occurs and after the earthquake shaking has subsided (3 in the above example) or a numerical value linked thereto as the damage situation. Furthermore, the indoor damage situation calculation unit 28 may calculate the ratio of the number of inclined straight line components before the earthquake occurs and after the earthquake shaking has subsided (4 in the above example) or a numerical value linked thereto as the damage situation. The indoor damage situation calculation unit 28 outputs the above calculation results to the output unit 30 (S118). This completes the indoor damage situation calculation process by the indoor damage situation calculation system 10.

[0026] In this way, the indoor damage situation calculation system 10 calculates the indoor damage situation based on linear components obtained from video data 12 of indoors in the disaster area, making it possible to calculate the actual indoor damage situation caused by the earthquake. In addition, the amount of calculation required for image conversion processing to detect linear components from edges is small. Therefore, the damage situation can be easily calculated with a small amount of calculation. For example, even if network use is restricted due to an earthquake, it is possible to calculate the indoor damage situation using only a computer on a relatively small device such as a surveillance camera or monitoring camera, making it highly versatile. Furthermore, since the damage situation can be calculated without transmitting indoor video data over a network, it also has the advantage of protecting privacy.

[0027] Furthermore, the indoor damage situation calculation system 10 uses the edge strength calculation unit 20 and the edge selection unit 22 to select edges whose edge strength is equal to or greater than a predetermined value, making it possible to calculate indoor damage situations that primarily target relatively large objects such as furniture that are thought to have a large impact on indoor damage.Furthermore, the indoor damage situation calculation system 10 uses the line component selection unit 26 to select line components whose lengths are longer than a predetermined threshold from the line components detected by the line component detection unit 24, making it possible to calculate indoor damage situations that primarily target relatively large objects such as furniture that are thought to have a large impact on indoor damage.

[0028] Furthermore, linear components detected from objects such as furniture and fixtures that have fallen over due to an earthquake are often inclined. Therefore, the indoor damage situation calculation unit 28 can accurately calculate the indoor damage situation by calculating the damage situation based on the number of linear components that are inclined within a predetermined angle range. In the first embodiment, the indoor damage situation calculation unit 28 quantitatively calculates the indoor damage situation based on the difference or ratio of the number of inclined linear components before the earthquake occurred and after the earthquake shaking has subsided. However, the indoor damage situation calculation unit 28 may be configured to quantitatively calculate the indoor damage situation based on the difference or ratio of the number of inclined linear components before the earthquake occurred and after the earthquake shaking has subsided. Furthermore, the indoor damage situation calculation unit 28 may be configured to quantitatively calculate the indoor damage situation based only on the number of inclined linear components after the earthquake shaking has subsided. Furthermore, the indoor damage situation calculation unit 28 may be configured to quantitatively calculate the indoor damage situation based only on the number of inclined linear components after the earthquake shaking has subsided.

[0029] Next, a second embodiment of the present invention will be described. In the second embodiment, the indoor damage situation calculation unit 28 is configured to repeatedly calculate the number of inclined straight line components that are inclined within a predetermined angle range (for example, 25° to 65°) from among the straight line components selected by the straight line component selection unit 26, and calculate the indoor damage situation based on the maximum number of inclined straight line components. Since the other configurations are the same as those in the first embodiment, the same configurations as those in the first embodiment are assigned the same reference numerals, and description thereof will be omitted.

[0030] Depending on the type of overturning, for example, furniture that was installed vertically may tip to a nearly horizontal position due to the shaking of an earthquake. In such cases, horizontal or vertical linear components may be detected from the furniture before it topples, and vertical or nearly horizontal linear components may be detected from the same furniture after it has toppled. Meanwhile, there is a high possibility that tilted linear components may be detected from the furniture during the process of toppling. By repeatedly calculating the number of tilted linear components that are tilted within a specified angle range and calculating the damage situation in the room based on the maximum number of tilted linear components, it is possible to calculate the damage situation in the room that reflects such types of overturning.

[0031] Next, a third embodiment of the present invention will be described. In the third embodiment, the indoor damage condition calculation unit 28 is configured to calculate the indoor damage condition by weighting the selected line components according to their inclination angles. For example, a tilt coefficient according to the inclination angle is assigned to each selected line component so that a line component inclined at a predetermined angle (for example, approximately 45°) relative to the horizontal or vertical has the largest tilt coefficient. The indoor damage condition calculation unit 28 calculates the indoor damage condition based on the sum of the inclination coefficients of each line component. For example, the indoor damage condition is quantitatively calculated based on the difference or ratio between the sum of the inclination coefficients of the line components before and after the earthquake shaking has subsided. Alternatively, the indoor damage condition may be quantitatively calculated based only on the sum of the inclination coefficients of the line components after the earthquake shaking has subsided. Alternatively, the sum of the inclination coefficients of the line components may be repeatedly calculated, and the indoor damage condition may be calculated based on the maximum sum of the inclination coefficients. In these cases, the indoor damage condition may be quantitatively calculated based on the sum of the inclination coefficients of the line components inclined at a predetermined angle range (for example, 25° to 65°) relative to the horizontal or vertical. Furthermore, the damage situation inside the room may be quantitatively calculated based on the total value of the slope coefficients of all the straight line components selected by the straight line component selection unit 26. Since the other configurations are the same as those in the first or second embodiment, the same reference numerals as those in the first or second embodiment are used for the same configurations, and the description thereof will be omitted.

[0032] Before an earthquake, many of the straight line components detected from furniture, fixtures, and other objects are close to horizontal or vertical, while many of the straight line components detected from furniture, fixtures, and other objects after an earthquake are tilted within a certain angle (for example, about 45°) from the horizontal or vertical. Therefore, by weighting the detected straight line components according to their tilt angle and calculating the damage situation, the damage situation inside a room can be accurately calculated.

[0033] Next, a fourth embodiment of the present invention will be described. In the fourth embodiment, the indoor damage situation calculation unit 28 is configured to calculate the indoor damage situation by weighting the detected line components according to their lengths. For example, a length coefficient according to the length is assigned to each selected line component, and the indoor damage situation calculation unit 28 calculates the indoor damage situation by further incorporating the length coefficient in the indoor damage situation calculation method shown in the first to third embodiments. For example, in the first embodiment, the sum of the length coefficients of each inclined line component that is inclined within a predetermined angle range (e.g., 25° to 65°) with respect to the horizontal or vertical is calculated, and the indoor damage situation calculation unit 28 quantitatively calculates the indoor damage situation based on the difference or ratio between the sum of the length coefficients before the earthquake and after the earthquake shaking has subsided. Alternatively, the indoor damage situation calculation unit 28 may quantitatively calculate the indoor damage situation based only on the sum of the length coefficients after the earthquake shaking has subsided. In the second embodiment, the sum of the length coefficients of the selected straight line components that are inclined at a predetermined angle range (for example, 25° to 65°) relative to the horizontal or vertical is repeatedly calculated, and the indoor damage situation calculation unit 28 calculates the indoor damage situation based on the maximum sum of the length coefficients. In the third embodiment, a length coefficient is assigned to each selected straight line component along with the inclination coefficient, and a weighting coefficient is calculated by multiplying the inclination coefficient by the length coefficient. The indoor damage situation calculation unit 28 then calculates the indoor damage situation based on the sum of the weighting coefficients of each straight line component. Since the other configurations are the same as those in the first to third embodiments, the same components are assigned the same reference numerals as those in the first to third embodiments, and description thereof will be omitted.

[0034] Objects with long detected line components are likely to be large and cause significant damage to the room. Therefore, by weighting the detected line components according to their length and calculating the damage level, the damage level inside the room can be accurately calculated.

[0035] In the first to fourth embodiments, the indoor damage situation calculation system 10 is equipped with an edge intensity calculation unit 20 and an edge selection unit 22 in addition to the edge detection unit 18, and the straight line component detection unit 24 is configured to perform image conversion processing such as a Hough transform on the edges selected by the edge selection unit 22 to detect straight line components.However, if accurate calculation of the indoor damage situation is possible, the edge intensity calculation unit 20 and the edge selection unit 22 may be omitted, and the straight line component detection unit 24 may be configured to perform image conversion processing such as a Hough transform on the edges detected by the edge detection unit 18 to detect straight line components.

[0036] Furthermore, in the first to fourth embodiments, the indoor damage situation calculation system 10 includes the straight line component selection unit 26, and the indoor damage situation calculation unit 28 is configured to calculate the indoor damage situation based on the straight line components selected by the straight line component selection unit 26, but if accurate calculation of the indoor damage situation is possible, the straight line component selection unit 26 may be omitted, and the indoor damage situation calculation unit 28 may be configured to calculate the indoor damage situation based on the straight line components detected by the straight line component detection unit 24. Furthermore, if accurate calculation of the indoor damage situation is possible, the edge intensity calculation unit 20, the edge selection unit 22, and the straight line component selection unit 26 may all be omitted.

[0037] Furthermore, in the first to fourth embodiments, edge detection unit 18 is configured to directly process video data 12 acquired by video data acquisition unit 16, but indoor damage situation calculation system 10 may also be provided with an image stabilization unit, and video data 12 acquired by video data acquisition unit 16 may be subjected to image stabilization by the image stabilization unit before being processed by edge detection unit 18. The image stabilization unit is configured to, for example, detect movement in video data 12 due to earthquake shaking or camera shake, calculate a correction value based on the detected image movement, and input the correction value into video data 12 to perform image stabilization. [Industrial Applicability]

[0038] The present invention can be used to calculate the indoor damage situation in a disaster area. [Explanation of symbols]

[0039] 10. Indoor damage calculation system 12 Video data 14 Input section 16 Video data acquisition unit 18 Edge detection unit 20 Edge strength calculation unit 22 Edge selection section 24 Line component detector 26 Linear component selection section 28 Indoor Damage Calculation Section 30 Output section

Claims

1. a video data acquisition unit for acquiring video data of indoors in the disaster area; an edge detector configured to detect edges in the video data; a straight line component detection unit configured to perform image conversion processing on the detected edges to detect straight line components; an indoor damage situation calculation unit configured to calculate the indoor damage situation based on the detected linear components; An indoor damage situation calculation system equipped with:

2. In claim 1, an edge strength calculation unit configured to calculate an edge strength of the detected edge; an edge selection unit configured to select the edge based on the edge strength; The linear component detection unit is configured to perform image conversion processing on the selected edges to detect linear components.

3. In claim 1 or 2, further comprising a line component selecting unit configured to select the line component based on the length of the detected line component; The indoor damage situation calculation system is configured so that the indoor damage situation calculation unit calculates the indoor damage situation based on the selected straight line components.

4. In claim 1, The indoor damage situation calculation unit is an indoor damage situation calculation system configured to calculate the indoor damage situation based on the number of straight line components among the detected straight line components that are inclined within a predetermined angle range.

5. In claim 4, The indoor damage situation calculation unit is an indoor damage situation calculation system configured to calculate the indoor damage situation based on the difference or ratio of the number of straight line components that are inclined within the specified angle range before the earthquake occurs and after the shaking has subsided.

6. In claim 1 or 2, The indoor damage situation calculation unit is configured to repeatedly calculate the number of straight line components among the detected straight line components that are inclined within a predetermined angle range, and calculate the indoor damage situation based on the maximum number of straight line components that are inclined within the predetermined angle range.

7. In claim 1 or 4, The indoor damage situation calculation system is configured so that the indoor damage situation calculation unit calculates the indoor damage situation by weighting the detected straight line components according to their inclination angles.

8. In claim 1 or 4, The indoor damage situation calculation system is configured so that the indoor damage situation calculation unit calculates the indoor damage situation by weighting the detected straight line components according to their lengths.

9. A computer was used to calculate the indoor damage situation. a video data acquisition unit for acquiring video data of indoors in the disaster area; an edge detector configured to detect edges in the video data; a straight line component detection unit configured to perform image conversion processing on the detected edges to detect straight line components; an indoor damage situation calculation unit configured to calculate the indoor damage situation based on the detected linear components; This is a program for calculating indoor damage conditions to function as a system.

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