Monitoring system, monitoring method, information processing device, and program

Abstract

This monitoring system (1) comprises a mounted device (20) that is mounted on a first movable body, and an information processing device (10). The mounted device has an acceleration sensor. The information processing device comprises: a determination unit (11) that determines, on the basis of information measured by the acceleration sensor, an imaging device that is to image a second movable body having come into contact with the first movable body; and an acquisition unit (12) that acquires images captured by the imaging device determined by the determination unit.

Description

[Technical Field]

[0001] The present disclosure relates to a monitoring system, a monitoring method, an information processing device, and a non-transitory computer-readable medium on which a program is stored. [Background technology]

[0002] Patent Document 1 discloses that the video images from a front camera that captures the front of the vehicle and a rear camera that captures the rear of the vehicle are constantly recorded, and when an impact is detected by an impact detection sensor, the recorded information is transferred to a storage memory and saved. This makes it possible to provide a drive recorder device that can identify the hit-and-run vehicle when an accident such as a hit-and-run occurs. [Prior art documents] [Patent documents]

[0003] [Patent Document 1] Japanese Patent Application Laid-Open No. 2004-224105 Summary of the Invention [Problem to be solved by the invention]

[0004] However, the technology described in Patent Document 1 may not be able to capture a sufficient image of the hit-and-run vehicle because the hit-and-run vehicle is photographed by a camera mounted on the vehicle.

[0005] In view of the above-mentioned problems, the object of the present disclosure is to provide a monitoring system, a monitoring method, an information processing device, and a non-transitory computer-readable medium on which a program is stored, which are capable of appropriately obtaining information regarding other vehicles that have come into contact with (collided with) a certain vehicle. [Means for solving the problem]

[0006] In a first aspect of the present disclosure, a surveillance system is provided that includes a mounted device mounted on a first moving body and an information processing device, wherein the mounted device has an acceleration sensor, and the information processing device has an identification unit that identifies an imaging device that will image a second moving body that has come into contact with the first moving body based on information measured by the acceleration sensor, and an acquisition unit that acquires an image captured by the imaging device identified by the identification unit.

[0007] In addition, a second aspect of the present disclosure provides a monitoring method in which a monitoring system having a mounted device mounted on a first moving body and an information processing device performs a process of identifying an imaging device that will capture an image of a second moving body that has come into contact with the first moving body based on information measured by an acceleration sensor of the mounted device, and a process of acquiring an image captured by the identified imaging device.

[0008] In addition, a third aspect of the present disclosure provides an information processing device having an identification unit that identifies an imaging device that will image a second moving body that has come into contact with a first moving body based on information measured by an acceleration sensor of a mounted device mounted on the first moving body, and an acquisition unit that acquires an image captured by the imaging device identified by the identification unit.

[0009] In addition, a fourth aspect of the present disclosure provides a non-transitory computer-readable medium storing a program that causes a computer to execute the following processes: identifying an imaging device that will image a second moving body that has come into contact with a first moving body based on information measured by an acceleration sensor of a mounted device mounted on the first moving body; and acquiring an image captured by the identified imaging device. [Effects of the Invention]

[0010] According to one aspect, information about another vehicle or the like that has come into contact with (collided with) a certain vehicle or the like can be appropriately acquired. [Brief explanation of the drawings]

[0011] [Figure 1] FIG. 1 is a diagram illustrating an example of a configuration of an information processing device according to an embodiment. [Figure 2] 1 is a diagram illustrating an example of the configuration of a monitoring system according to an embodiment. [Figure 3] 1 is a diagram illustrating an example of the hardware configuration of an information processing apparatus according to an embodiment and an installed device; [Figure 4] FIG. 4 is a sequence diagram illustrating an example of processing by the monitoring system according to the embodiment. [Figure 5] 10A and 10B are diagrams illustrating an example of acceleration and the like at the time of contact according to the embodiment. [Figure 6] FIG. 4 is a diagram showing an example of information recorded in a contact DB according to the embodiment. [Figure 7] FIG. 4 is a diagram showing an example of information recorded in a photographing device DB according to the embodiment. DETAILED DESCRIPTION OF THE INVENTION

[0012] Hereinafter, an embodiment of the present invention will be described with reference to the drawings. (Embodiment 1) <Configuration> The configuration of an information processing device 10 according to an embodiment will be described with reference to Fig. 1. Fig. 1 is a diagram showing an example of the configuration of the information processing device 10 according to an embodiment. The information processing device 10 has an identification unit 11 and an acquisition unit 12. These units may be realized by cooperation between one or more programs installed in the information processing device 10 and hardware such as a processor 101 and a memory 102 of the information processing device 10.

[0013] The identification unit 11 identifies the image capturing device that captures the image of the second moving object that has come into contact with the first moving object, for example, based on information measured by an acceleration sensor mounted on the first moving object. The acquisition unit 12 acquires the image captured by the image capturing device identified by the identification unit 11.

[0014] (Embodiment 2) Next, the configuration of the monitoring system 1 according to the embodiment will be described with reference to FIG. <System configuration> Fig. 2 is a diagram showing an example of the configuration of a monitoring system 1 according to an embodiment. In the example of Fig. 2, the monitoring system 1 includes an information processing device 10 and an on-board device 20. The monitoring system 1 also includes an image capturing device 30A, an image capturing device 30B, and an image capturing device 30C (hereinafter, when there is no need to distinguish between them, they will be simply referred to as "image capturing device 30").

[0015] The on-board device 20 is a device mounted on a moving body such as a vehicle, an autonomous robot, a flying car (eVTOL (Electric Vertical Take-Off and Landing aircraft) or UAM (Urban Air Mobility)). Examples of vehicles in the present disclosure include, but are not limited to, automobiles, motorcycles, mopeds, and bicycles. The on-board device 20 has an acceleration sensor 21 inside or outside the housing of the on-board device 20.

[0016] The photographing device 30 is, for example, a photographing device (camera) provided on a vehicle other than the vehicle on which the mounted device 20 is mounted, so as to be able to photograph a road. In this case, the photographing device 30 may be, for example, a photographing device installed so as to be able to photograph a traffic path such as a road. In this case, the photographing device 30 may be attached to, for example, a pole (signal pole) on which a traffic signal is attached, a pole on which a road sign or the like is attached, a street light, or a utility pole. The photographing device 30 may also be installed in a facility such as a store or a parking lot. The photographing device 30 may also be, for example, a photographing device mounted on a vehicle other than the first mobile vehicle on which the mounted device 20 is mounted. In this case, the photographing device 30 may be mounted on, for example, a police vehicle, a fire engine, a road maintenance vehicle, a municipal vehicle, or a general vehicle. Note that the number of information processing devices 10, mounted devices 20, and photographing devices 30 is not limited to the example of FIG. 1.

[0017] The information processing device 10, the mounted device 20, and the photographing device 30 are connected to each other so as to be able to communicate with each other via a network N, such as the Internet, a wireless local area network (wireless LAN), or a mobile phone network. The network N described in the present disclosure may include, for example, 5G (fifth generation mobile communication system, NR: New Radio), 4G (fourth generation mobile communication system), 3G (third generation mobile communication system), etc. Note that 4G may include, for example, LTE (Long Term Evolution) Advanced, WiMAX2, and LTE. The network N described in the present disclosure may also include, for example, 6G (sixth generation mobile communication system, Beyond 5G), etc. The wireless communication in the present disclosure may be performed according to any generation of wireless communication protocol currently known or developed in the future.

[0018] <Hardware configuration> FIG. 3 is a diagram showing an example of the hardware configuration of the information processing device 10 and the mounted device 20 according to the embodiment. In the following, the information processing device 10 will be described as an example, but the hardware configuration of the mounted device 20 may also be similar to the hardware configuration of the information processing device 10. In the example of FIG. 3, the information processing device 10 (computer 100) includes a processor 101, a memory 102, and a communication interface 103. These components may be connected via a bus or the like. The memory 102 stores at least a part of a program 104. The communication interface 103 includes an interface required for communication with other network elements.

[0019] When the program 104 is executed by the processor 101, memory 102, and other components in cooperation with each other, the computer 100 performs at least some of the processing of the embodiments of the present disclosure. The memory 102 may be of any type suitable for a local technology network. The memory 102 may be, by way of non-limiting example, a non-transitory computer-readable storage medium. The memory 102 may also be implemented using any suitable data storage technology, such as semiconductor-based memory devices, magnetic memory devices and systems, optical memory devices and systems, fixed memory, and removable memory. While only one memory 102 is shown in the computer 100, several physically distinct memory modules may be present in the computer 100. The processor 101 may be of any type. The processor 101 may include one or more of a general-purpose computer, a special-purpose computer, a microprocessor, a digital signal processor (DSP), and, by way of non-limiting example, a processor based on a multi-core processor architecture. The computer 100 may have multiple processors, such as application-specific integrated circuit chips time-slaved to a clock that synchronizes the main processor.

[0020] Embodiments of the present disclosure may be implemented in hardware or special purpose circuits, software, logic, or any combination thereof. Some aspects may be implemented in hardware, while other aspects may be implemented in firmware or software that may be executed by a controller, microprocessor, or other computing device.

[0021] The present disclosure also provides at least one computer program product tangibly stored on a non-transitory computer-readable storage medium. The computer program product includes computer-executable instructions, such as instructions included in program modules, that execute on a target real or virtual processor or device to perform the processes or methods of the present disclosure. Program modules include routines, programs, libraries, objects, classes, components, data structures, etc. that perform particular tasks or implement particular abstract data types. The functionality of the program modules may be combined or divided among program modules as desired in various embodiments. The machine-executable instructions of the program modules may be executed in local or distributed devices. In a distributed device, the program modules may be located in both local and remote storage media.

[0022] The program code for executing the methods of the present disclosure may be written in any combination of one or more programming languages. The program code may be provided to a processor or controller of a general-purpose computer, a special-purpose computer, or other programmable data processing apparatus. When the program code is executed by the processor or controller, the functions / acts in the flowcharts and / or implementing block diagrams are performed. The program code may be executed entirely on the machine, partly on the machine, as a standalone software package, partly on the machine and partly on a remote machine, or entirely on a remote machine or server.

[0023] The program can be stored and supplied to a computer using various types of non-transitory computer-readable media. Non-transitory computer-readable media include various types of tangible recording media. Examples of non-transitory computer-readable media include magnetic recording media, magneto-optical recording media, optical disk media, and semiconductor memory. Magnetic recording media include, for example, flexible disks, magnetic tapes, and hard disk drives. Magneto-optical recording media include, for example, magneto-optical disks. Optical disk media include, for example, Blu-ray discs, CD (Compact Disc)-ROMs (Read Only Memory), CD-Rs (Recordable), and CD-RWs (Rewritable). Semiconductor memory includes, for example, mask ROMs, PROMs (Programmable ROMs), EPROMs (Erasable PROMs), flash ROMs, and RAMs (Random Access Memory). The program may also be supplied to a computer by various types of temporary computer-readable media. Examples of temporary computer-readable media include electrical signals, optical signals, and electromagnetic waves. The temporary computer-readable medium can supply the program to the computer via a wired communication path such as an electric wire or an optical fiber, or via a wireless communication path.

[0024] <Processing> An example of the processing of the monitoring system 1 according to the embodiment will be described with reference to Figs. 4 to 7. Fig. 4 is a sequence diagram showing an example of the processing of the monitoring system 1 according to the embodiment. Fig. 5 is a diagram showing an example of acceleration at the time of contact according to the embodiment. Fig. 6 is a diagram showing an example of information recorded in the contact DB 601 according to the embodiment. Fig. 7 is a diagram showing an example of information recorded in the imaging device DB 701 according to the embodiment. Note that the following processing may be executed when the first moving body on which the mounted device 20 is mounted is stopped (stationary), or may be executed when the first moving body is moving (running).

[0025] In step S101, the mounting device 20 detects, using the acceleration sensor 21, that another object (second moving body) has come into contact with the first moving body on which the mounting device 20 is mounted. Here, for example, as shown in FIG. 5, the center 511 of the first moving body 501 in a horizontal plane may be set as the origin. The mounting device 20 may then detect the contact based on the acceleration in the x-axis direction and the acceleration in the y-axis direction, with the forward direction of the first moving body (the normal traveling direction) defined as the x-axis and the direction perpendicular to the x-axis defined as the y-axis. In this case, the mounting device 20 may, for example, add (combine) a vector 521 of acceleration in the x-axis direction and a vector 522 of acceleration in the y-axis direction to calculate a vector 523 indicating the acceleration due to the contact. The mounting device 20 may then determine that the second moving body 502 has come into contact with the first moving body when the magnitude (length) of the vector 523 is equal to or greater than a threshold. FIG. 5 also shows an example of a contact position (damage position) 531 of the first moving body (own moving body, for example, own vehicle) and a contact position 532 of the second moving body.

[0026] Next, the mounted device 20 estimates various pieces of information based on the acceleration at the time of contact measured by the acceleration sensor 21 (step S102). Here, the mounted device 20 may estimate various pieces of information based on the acceleration at the time of contact by referring to the contact DB 601 in FIG. 6. The contact DB 601 may be stored (set, registered) in advance in an internal or external storage device of the mounted device 20. In this case, the information in the contact DB 601 may be registered by a user or the like, such as information according to the type (e.g., vehicle type) or size of the first moving body on which the mounted device 20 is mounted.

[0027] Alternatively, the information in the contact DB 601 may be calculated by the mounting device 20 based on information input by a user, etc. In this case, the mounting device 20 may receive input of information on the shape and size of the first moving body and the position where the acceleration sensor 21 is installed on the first moving body, calculate various pieces of information based on the input information, and store the information in the contact DB 601.

[0028] 6, the contact position of the first moving body and the estimated contact position of the second moving body are stored in association with the direction of acceleration due to the contact in the contact DB 601. As a result, for example, when contact occurs on the right side of the front (front part) of the first moving body, which is the host vehicle, it is possible to register that the estimated position of the second moving body, which is the other vehicle, is the left side of the front.

[0029] 6, the contact DB 601 stores one or more estimated moving directions of the second moving body (e.g., the moving direction of the second moving body as seen from the first moving body) and the estimated moving speed (traveling speed) of the second moving body at the time of contact, in association with the direction and magnitude of the acceleration due to the contact. As a result, for example, if the front (front portion) of the first moving body, which is the host vehicle, contacts with an acceleration of a magnitude equal to or less than a first threshold, it can be estimated that the second moving body, which is the other vehicle, will continue to move (flee or hit and run) forward (rearward and rightward from the host vehicle), or forward and rightward (left rear from the host vehicle). Also, for example, if the front of the first moving body contacts with an acceleration of a magnitude equal to or greater than a second threshold that is greater than the first threshold, it can be estimated that the second moving body will move in the direction of a left turn (rearward and rightward from the host vehicle), or in the direction of a U-turn, etc. (forward from the host vehicle). Furthermore, for example, if the second moving body makes contact with the rear surface (rear portion) of the first moving body with an acceleration equal to or less than a third threshold, it can be estimated that the second moving body will continue to move forward (in front of the vehicle), to the left front, or to the right front. Furthermore, for example, if the second moving body makes contact with the rear surface (rear portion) of the first moving body with an acceleration equal to or greater than a fourth threshold that is greater than the third threshold, it can be estimated that the second moving body will move in a direction such as making a left turn or a U-turn. Note that if multiple estimated moving directions of the second moving body are registered, the estimated moving speed of the second moving body at the time of contact may be stored (registered) for each estimated moving direction.

[0030] The on-board device 20 may also acquire information indicating the feature amount of the second moving body based on the acceleration at the time of contact measured by the acceleration sensor 21. In this case, the on-board device 20 may, for example, activate one of multiple cameras mounted on the first moving body corresponding to the contact position of the first moving body measured (estimated) based on the acceleration at the time of contact, to capture an image of the second moving body. The on-board device 20 may also, for example, control the pan (horizontal orientation) of the camera mounted on the first moving body so that it faces in a direction corresponding to the contact position of the first moving body measured (estimated) based on the acceleration at the time of contact, and capture an image of the second moving body. The on-board device 20 may then extract information such as color, shape, and vehicle model based on the captured image using AI (Artificial Intelligence) or the like.

[0031] Next, the onboard device 20 transmits information estimated based on the acceleration at the time of contact, etc., to the information processing device 10 (step S103). Here, the onboard device 20 may transmit information such as identification information of the first moving body, the current position of the first moving body, the orientation of the first moving body, information indicating the feature amount of the second moving body, the time when the first moving body and the second moving body contacted each other, the contact position of the second moving body, the magnitude of the acceleration due to the contact, the moving direction of the second moving body, and the moving speed of the second moving body at the time of contact to the information processing device 10. Note that the onboard device 20 may acquire current position information of the first moving body using, for example, a satellite positioning system such as GPS (Global Positioning System). Furthermore, the onboard device 20 may measure the orientation of the first moving body (the forward direction of the first moving body) using, for example, a direction sensor or the like.

[0032] Next, the identification unit 11 of the information processing device 10 identifies the image capturing device 30 for capturing an image of the second moving object that has come into contact with the first moving object, based on the acceleration at the time of contact (step S104). Here, the information processing device 10 may estimate the position of the second moving object at each point in time (time) based on the received current position of the first moving object, the orientation of the first moving object, the contact position of the second moving object, and the moving direction of the second moving object, as well as pre-recorded map data (an example of "information about roads around the first moving object"). Here, the map data may include position information of each point included in the area of ​​the road.

[0033] The acquisition unit 12 of the information processing device 10 may then refer to the image capture device DB 701 in FIG. 7 to identify the image capture device 30 corresponding to the position of the second moving object at each time point. The image capture device DB 701 may be stored (set or registered) in advance in a storage device internal or external to the information processing device 10. The information processing device 10 may also receive information on the current position and orientation of the image capture device 30 mounted on the moving object from the moving object via wireless communication or the like at appropriate times (for example, periodically) and update the information in the image capture device DB 701. In the example of FIG. 7, the image capture device DB 701 stores information on the installation position, installation direction, and angle of view in association with the image capture device ID. The image capture device ID is identification information for the image capture device 30. The installation position is information (for example, latitude and longitude) indicating the location where the image capture device 30 is installed or the current location of the image capture device 30 mounted on the moving object. The installation direction is information indicating the direction in which the image capture device 30 is installed or the current orientation of the image capture device 30 mounted on the moving object. The installation direction may be, for example, the direction toward the center position of the image captured by the image capturing device 30 as seen from the image capturing device 30. The angle of view is, for example, the angle of view in the horizontal direction (lateral direction) of the image captured by the image capturing device 30.

[0034] The information processing device 10 may first calculate, for example, the time elapsed from the time the first moving body and the second moving body come into contact with each other to a specific time. Then, the information processing device 10 may estimate the range in which the second moving body is located at the specific time, for example, based on the calculated elapsed time and the moving direction of the second moving body estimated by the mounted device 20. Then, the information processing device 10 may identify, for example, an imaging device 30 that can capture the estimated range in which the second moving body is located.

[0035] Next, the information processing device 10 acquires an image (at least one of a video and a still image) captured by the identified image capturing device 30 (step S105). Here, the information processing device 10 may, for example, send a command to the image capturing device 30 to cause the captured image to be transmitted to the information processing device 10 in real time. Alternatively, the information processing device 10 may acquire the image from a storage device that records the image captured by the image capturing device 30.

[0036] Next, the information processing device 10 extracts information about the second moving body that has come into contact with the first moving body on which the on-board device 20 is mounted, based on the acquired image (step S106). This makes it possible to appropriately acquire information about another vehicle that has come into contact with (collided with) a certain vehicle. Here, the information processing device 10 may read letters and numbers from an image of the license plate (automobile registration number plate) of the second moving body using AI or the like.

[0037] Furthermore, the information processing device 10 may identify (estimate) the area in which the second moving object is captured in the image captured by the identified image capture device 30 based on the acceleration at the time of contact, map data, and the time when the first moving object and the second moving object contacted each other. In this case, the information processing device 10 may first calculate, for example, the elapsed time from the time when the first moving object and the second moving object contacted each other to a specific time. Then, the information processing device 10 may identify the area in which the second moving object is captured in the image captured at the specific time based, for example, on the calculated elapsed time, the moving direction of the second moving object, the moving speed of the second moving object at the time of contact, and the installation position and installation direction of the image capture device 30. This may, for example, more accurately detect other vehicles that have contacted a certain vehicle. In this case, the information processing device 10 may estimate, as the position of the second moving object at the specific time, a point moved a distance calculated by multiplying the moving direction of the second moving object by the moving speed of the second moving object at the time of contact and the elapsed time. Then, the information processing device 10 may, for example, identify the area in the image in which the second moving object is captured by converting the position in two dimensions in the horizontal direction into coordinates on the image captured by the imaging device 30.

[0038] Furthermore, the information processing device 10 may extract information indicating characteristics of the second moving object from the image captured by the image capture device 30 based on the contact position and damage size of the second moving object estimated according to the acceleration at the time of contact. This may, for example, more appropriately detect another vehicle or the like that has come into contact with a certain vehicle or the like. In this case, the information processing device 10 may, for example, estimate the damage size of the second moving object using AI or the like based on the contact position of the second moving object and the magnitude of the acceleration due to the contact measured by an acceleration sensor. Then, the information processing device 10 may, for example, perform object recognition on each moving object in the image captured by the image capture device 30, and detect, from among the recognized moving objects, a moving object that has damage of the estimated size at the contact position as the second moving object.

[0039] Subsequently, the information processing device 10 outputs the extracted information (step S107). Here, the information processing device 10 may, for example, transmit the information about the second moving object to an email address of the user of the first moving object, an insurance company with which the user of the first moving object has a contract, or the police. In this case, the information processing device 10 may, for example, store information such as the email address of the destination in advance in association with the identification information of the first moving object. Furthermore, the information processing device 10 may, for example, display the information about the second moving object on a display device (display) provided in the information processing device 10.

[0040] <Modification> Each functional unit of the information processing device 10 may be realized by, for example, cloud computing configured by one or more computers. Furthermore, the information processing device 10 and at least one of the mounted device 20 and the photographing device 30 may be configured as an integrated information processing device. Furthermore, at least a part of each process of the mounted device 20 may be configured to be executed by the information processing device 10. Furthermore, at least a part of each process of the information processing device 10 may be configured to be executed by at least one of the mounted device 20 and the photographing device 30.

[0041] The present invention is not limited to the above-described embodiment, and can be modified as appropriate within the scope of the invention.

[0042] A part or all of the above-described embodiments can be described as, but not limited to, the following supplementary notes. (Appendix 1) an on-board device mounted on the first moving body and an information processing device; the on-board device has an acceleration sensor; The information processing device includes: an identification unit that identifies an image capturing device that captures an image of a second moving object that has come into contact with the first moving object based on information measured by the acceleration sensor; an acquisition unit that acquires an image captured by the imaging device identified by the identification unit; A monitoring system having: (Appendix 2) the identifying unit identifies the photographing device installed so as to be able to photograph the passageway, or the photographing device mounted on a moving body different from the first moving body. 1. A monitoring system as described in Appendix 1. (Appendix 3) the identification unit identifies the photographing device based on information measured by the acceleration sensor and information about roads around the first moving object. 1. A monitoring system as described in Appendix 1 or 2. (Appendix 4) the identification unit identifies the photographing device based on information measured by the acceleration sensor, information about roads around the first moving body, and a time when the first moving body and the second moving body come into contact with each other. 4. A monitoring system according to any one of claims 1 to 3. (Appendix 5) the identification unit identifies an area in which the second moving body is captured in the image captured by the photographing device based on information measured by the acceleration sensor, information about roads around the first moving body, and a time when the first moving body and the second moving body come into contact with each other. 5. The monitoring system of any one of claims 1 to 4. (Appendix 6) the identification unit extracts information indicating characteristics of the second moving object from the image captured by the imaging device based on the contact position and the extent of damage of the second moving object estimated in accordance with the information measured by the acceleration sensor; 6. The monitoring system of any one of claims 1 to 5. (Appendix 7) A monitoring system having an on-board device mounted on a first moving body and an information processing device, A process of identifying an image capturing device that captures an image of a second moving object that has come into contact with the first moving object, based on information measured by an acceleration sensor of the mounted device; acquiring an image captured by the identified imaging device; A monitoring method to perform. (Appendix 8) an identification unit that identifies an image capturing device that captures an image of a second moving object that has come into contact with the first moving object based on information measured by an acceleration sensor of a mounting device mounted on the first moving object; an acquisition unit that acquires an image captured by the imaging device identified by the identification unit; An information processing device having the above. (Appendix 9) the identification unit identifies the image capture device provided outside the first moving object. 9. The information processing device according to claim 8. (Appendix 10) A process of identifying an image capturing device that captures an image of a second moving object that has come into contact with the first moving object, based on information measured by an acceleration sensor of a mounted device mounted on the first moving object; acquiring an image captured by the identified imaging device; A non-transitory computer-readable medium storing a program that causes a computer to execute the program. [Explanation of symbols]

[0043] 1. Surveillance System 10. Information processing equipment 11 Specific section 12 Acquisition Department 20 Onboard equipment 30 Imaging equipment

Claims

1. A mounted device mounted on the first moving body and an information processing device, The on-board device has an acceleration sensor, The information processing device includes: an identification unit that identifies an image capturing device that captures an image of a second moving object that has come into contact with the first moving object based on information measured by the acceleration sensor; an acquisition unit that acquires an image captured by the imaging device identified by the identification unit; A monitoring system having:

2. The identification unit identifies the photographing device installed so as to be able to photograph a passageway, or the photographing device mounted on a moving body other than the first moving body. The monitoring system of claim 1 .

3. the identification unit identifies the photographing device based on information measured by the acceleration sensor and information about roads around the first moving object.

3. A monitoring system according to claim 1 or 2.

4. the identification unit identifies the photographing device based on information measured by the acceleration sensor, information about a road around the first moving body, and a time when the first moving body and the second moving body come into contact with each other. A monitoring system according to any one of claims 1 to 3.

5. the identification unit identifies an area in which the second moving body is captured in the image captured by the imaging device based on information measured by the acceleration sensor, information about roads around the first moving body, and a time when the first moving body and the second moving body come into contact with each other. A monitoring system according to any one of claims 1 to 4.

6. The identification unit extracts information indicating characteristics of the second moving object from the image captured by the imaging device based on the contact position and the extent of the damage of the second moving object estimated in accordance with the information measured by the acceleration sensor. A monitoring system according to any one of claims 1 to 5.

7. A monitoring system having an on-board device mounted on a first moving body and an information processing device, A process of identifying an image capturing device that captures an image of a second moving object that has come into contact with the first moving object, based on information measured by an acceleration sensor of the mounted device; acquiring an image captured by the identified imaging device; The monitoring method to perform.

8. an identification unit that identifies an image capturing device that captures an image of a second moving object that has come into contact with a first moving object based on information measured by an acceleration sensor of a mounted device mounted on the first moving object; an acquisition unit that acquires an image captured by the imaging device identified by the identification unit; An information processing device having the above configuration.

9. The identification unit identifies the imaging device provided outside the first moving object. The information processing device according to claim 8.

10. A process of identifying an image capturing device that captures an image of a second moving object that has come into contact with a first moving object, based on information measured by an acceleration sensor of a mounted device mounted on the first moving object; acquiring an image captured by the identified imaging device; A program that causes a computer to execute the following.

Images