Detection device, detection system, detection method, and program

Abstract

To provide a detection device capable of improving accuracy in detecting a traffic accident.SOLUTION: A detection device includes an acoustic signal acquisition section, an accident sound detection section, an accident occurrence position estimation section, a captured image acquisition section, and an output section. The acoustic signal acquisition section acquires an acoustic signal collected by a sound collection device arranged along a road. The accident sound detection section detects accident sound from the acoustic signal. The accident occurrence position estimation section estimates position information of an accident occurrence position being a sound source position of the accident sound. The captured image acquisition section transmits the position information to an imaging device capable of capturing the accident occurrence position, and acquires a captured image corresponding to the position information from the imaging device. The output section generates output information including the position information and the captured image, so as to output them.SELECTED DRAWING: Figure 11

Description

[Technical Field]

[0001] The present disclosure relates to a detection device, a detection system, a detection method, and a program. [Background technology]

[0002] A technology for detecting traffic accidents by acoustic signal processing is disclosed in Patent Document 1. The street light system described in Patent Document 1 detects target sounds indicative of traffic accidents (hereinafter also referred to as accident sounds) and their locations based on collected sound data. The street light system described in Patent Document 1 detects accident sounds using a sound recognition algorithm based on machine learning. [Prior art documents] [Patent documents]

[0003] [Patent Document 1] Japanese Patent Publication No. 2020-087883 Summary of the Invention [Problem to be solved by the invention]

[0004] Detecting accident sounds using sound recognition algorithms is difficult. This is due to the fact that the collected sound data contains a lot of noise. For example, the street lighting system described in Patent Document 1 may mistakenly detect sounds that are not related to accidents as accident sounds. When road management authorities or other entities arrange for accident response based on the detection results, making arrangements for accident response without realizing that the detection was false results in unnecessary effort. Therefore, further improvements in the detection accuracy of traffic accidents are desired.

[0005] An object of the present disclosure is to provide a detection device, a detection system, a detection method, and a program that can improve the accuracy of detecting traffic accidents. [Means for solving the problem]

[0006] A detection device according to one aspect of the present disclosure includes an acoustic signal acquisition unit that acquires an acoustic signal collected by a sound collection device installed along a road, an accident sound detection unit that detects accident sounds from the acoustic signal, an accident location estimation unit that estimates location information for the accident location, which is the location of the source of the accident sound, an image acquisition unit that transmits location information to an image capture device capable of capturing the accident location and acquires an image captured from the image capture device according to the location information, and an output unit that generates and outputs output information including the location information and the captured image.

[0007] A detection system according to one aspect of the present disclosure is a traffic accident detection system that is installed along a road and includes multiple microphone arrays and multiple image capturing devices, wherein each of the multiple microphone arrays includes multiple microphones and has a sound collection unit that collects acoustic signals, an accident sound detection unit that detects accident sounds from the acoustic signals, an accident location estimation unit that estimates location information for the accident location, which is the location of the source of the accident sound, and a transmission unit that transmits location information to an image capturing device that can capture the accident location, and each of the multiple image capturing devices has a control unit that changes the shooting direction using the location information received from the transmission unit, an image capturing unit that captures an image, and an output unit that outputs the accident location and the captured image.

[0008] In one aspect of the detection method of the present disclosure, a computer acquires an acoustic signal collected by a sound collection device installed along a road, detects an accident sound from the acoustic signal, estimates location information of the accident location, which is the location of the source of the accident sound, transmits the location information to a camera capable of photographing the accident location, acquires a photographed image from the camera device according to the location information, and generates and outputs output information including the location information and the photographed image.

[0009] A program according to one aspect of the present disclosure causes a computer to perform the following processes: acquiring an acoustic signal collected by a sound collection device installed along a road; detecting an accident sound from the acoustic signal; estimating location information of the accident location, which is the location of the source of the accident sound; transmitting the location information to a camera capable of photographing the accident location; acquiring an image captured from the camera according to the location information; and generating and outputting output information including the location information and the captured image. [Effects of the Invention]

[0010] According to the present disclosure, it is possible to provide a detection device, a detection system, a detection method, and a program that improve the accuracy of detecting traffic accidents. [Brief explanation of the drawings]

[0011] [Figure 1] FIG. 1 is a conceptual diagram for explaining a detection system according to the present disclosure. [Figure 2] 1 is a block diagram illustrating an example of a configuration of a detection system according to the present disclosure. [Figure 3] FIG. 10 is a diagram illustrating an example of output information generated by an output unit in the present disclosure. [Figure 4] 10 is a flowchart illustrating an example of the operation of the detection device according to the present disclosure. [Figure 5] 10 is a flowchart illustrating an example of the operation of the imaging device according to the present disclosure. [Figure 6] 1 is a block diagram illustrating an example of a configuration of a detection system according to the present disclosure. [Figure 7] 1 is a block diagram illustrating an example of a configuration of a detection system according to the present disclosure. [Figure 8] 10 is a flowchart illustrating an example of the operation of the detection device according to the present disclosure. [Figure 9] 1 is a block diagram illustrating an example of a configuration of a detection system according to the present disclosure. [Figure 10] 10 is a flowchart illustrating an example of the operation of the detection device according to the present disclosure. [Figure 11]1 is a block diagram illustrating an example of a configuration of a detection device according to the present disclosure. [Figure 12] 10 is a flowchart illustrating an example of the operation of the detection device according to the present disclosure. [Figure 13] FIG. 1 is a diagram illustrating an example of a hardware configuration for executing control and processing in the present disclosure. DETAILED DESCRIPTION OF THE INVENTION

[0012] Hereinafter, embodiments of the present disclosure will be described in detail with reference to the drawings. The embodiments described below are limited in a manner that is technically preferable for implementing the present disclosure, but the scope of the invention is not limited to the following. In all drawings used to describe the following embodiments, the same reference numerals are used for similar parts unless otherwise specified. In the following embodiments, repeated explanations of similar configurations and operations may be omitted.

[0013] [First embodiment] First, a detection system according to a first embodiment will be described with reference to the drawings. The detection system according to this embodiment estimates the location of a sound source where an accident has occurred (the location of the accident) based on a sound signal collected by a sound collection device arranged along a road. The detection system according to this embodiment directs the image pickup direction of an image pickup device arranged along the road toward the estimated location of the accident.

[0014] (overview) Fig. 1 is a conceptual diagram for explaining an overview of a detection system according to the present disclosure. Note that Fig. 1 is a diagram for explaining the overview of the detection system, and does not limit the shape or number of each component.

[0015] The detection system 1 includes a plurality of sound collection devices 11-n and a plurality of image capture devices 21-m (m and n are natural numbers). The sound collection devices 11-n and the image capture devices 21-m are installed along a road. The shapes and numbers of the sound collection devices 11-n and the image capture devices 21-m are not limited to the example shown in FIG. 1 . In the following description, when it is not necessary to distinguish between the sound collection devices 11-n, they will be referred to as sound collection devices 11. Similarly, when it is not necessary to distinguish between the image capture devices 21-m, they will be referred to as image capture devices 21. The detection system 1 also includes a detection device (not shown). For example, the detection device is included in the sound collection device 11 or the image capture device 21.

[0016] The sound collection device 11-n is a type of electroacoustic transducer that converts acoustic vibrations into acoustic signals and collects the sound. In this embodiment, the sound collection device 11-n is realized by a microphone array consisting of multiple microphones, but may be realized by other electroacoustic transducers. Each sound collection device 11-n includes multiple microphones 111-l (l is a natural number). The sound collection device 11-n converts ambient acoustic vibrations into acoustic signals using the multiple microphones 111-l (S1). The multiple microphones 111-l collect the converted acoustic signals. A detection device (not shown) analyzes the acoustic signals collected by the multiple microphones 111-l using acoustic signal processing. The detection device detects accident sounds from the collected acoustic signals. The detection device also estimates the location of the accident, which is the source of the accident sound. The detection device transmits location information of the estimated accident location to an image capture device 21-m that can capture the accident location (S2). The image capturing device 21-m, which has received the location information of the accident location, adjusts the image capturing angle and direction according to the received location information, and then captures the image (S3). The location information of the accident location and the captured image are output to an administrator terminal 30, which is a terminal device owned by an administration office that manages roads, for example.

[0017] (composition) 2 is a block diagram showing an example of the configuration of a detection system according to the present disclosure. The detection system 1 includes a sound collection device 11, a photographing device 21, and an administrator terminal 30. The sound collection device 11, the photographing device 21, and the administrator terminal 30 are connected to each other so that they can communicate with each other.

[0018] The sound collection device 11 includes a sound collection unit 111, an acoustic signal acquisition unit 112, an accident sound detection unit 113, an accident location estimation unit 114, a captured image acquisition unit 115, an output unit 116, and a storage unit 117. The acoustic signal acquisition unit 112, the accident sound detection unit 113, the accident location estimation unit 114, the captured image acquisition unit 115, and the output unit 116 constitute a detection device 100. In the present embodiment, the sound collection device 11 includes the detection device 100, but this is not limiting. For example, the detection device 100 may be included in the image capture device 21. Alternatively, the detection device 100 may be implemented as an independent information processing device. For example, the detection device 100 may be located on a server or cloud connected to the sound collection device 11 and the image capture device 21 via a communication network. The detection device 100 may also be included in the administrator terminal 30.

[0019] The sound collection unit 111 is an example of a sound collection means for collecting ambient acoustic signals. The sound collection unit 111 includes a plurality of microphones 111-1 to 111-1. It is desirable that each of the microphones 111-1 is an omnidirectional (omnidirectional) microphone, but this is not a limitation. The arrangement of the microphones 111-1 is not particularly limited as long as it allows sound source localization. Similarly, the number of microphones 111-1 is not particularly limited as long as it is one or more.

[0020] The acoustic signal acquiring unit 112 acquires the acoustic signal collected by the sound collecting unit 111. Specifically, the acoustic signal acquiring unit 112 acquires at least one of frequency, spectrum data, and waveform data.

[0021] The accident sound detection unit 113 detects an accident using the sound signal acquired by the sound signal acquisition unit 112. Specifically, the accident sound detection unit 113 detects an accident sound from the sound signal acquired by the sound signal acquisition unit 112. An accident sound refers to an acoustic signal that is derived from an abnormal sound different from an environmental sound and is presumed to be derived from a sound caused by an accident. An accident sound is also referred to as an accident sound signal. For example, the accident sound detection unit 113 detects an accident sound using the abnormal sound detection techniques listed below. The abnormal sound detection techniques listed below are examples and are not limited to these.

[0022] For example, the accident sound detection unit 113 detects accident sounds using a pre-created accident sound determination model. The accident sound determination model is stored in the storage unit 117. The accident sound determination model is machine-learned using normal sounds and accident sounds as training data. The training data is preferably both normal sounds and accident sounds, but may be either one of them. The accident sound detection unit 113 inputs the collected acoustic signal into the accident sound determination model, thereby detecting accident sounds from the collected acoustic signal.

[0023] For example, the accident sound detection unit 113 may detect an accident sound by comparing the sound signal of the accident sound stored in the storage unit 117 with the picked-up sound signal.

[0024] For example, the accident sound detection unit 113 may detect an accident sound by comparing a normal sound sound signal stored in the storage unit 117 with the collected sound signal.

[0025] The accident location estimation unit 114 estimates position information of the accident location, which is the sound source position of the accident sound. For example, the accident location estimation unit 114 estimates the position information of the accident location using the cross-correlation method disclosed in Non-Patent Document 1 (Non-Patent Document 1: Sato Itsuki, Watanabe Seiji, "Comparison of Accuracy of Sound Source Location Estimation by Applying Cross-Correlation Method and Sound Source Localization," Proceedings of the 2018 National Conference of the Society of Industrial Applications Engineering, September 13, 2018).

[0026] In the cross-correlation method disclosed in Non-Patent Document 1, first, the accident location estimation unit 114 estimates the sound source direction of the acoustic signal collected by the sound collection unit 111 using a known sound source localization technique. Examples of known sound source localization techniques include the time delay method, the MUSIC (Multiple Signal Classification) method, and the beamforming method. The accident location estimation unit 114 estimates the sound source position, i.e., the accident location, using the sound source direction of each microphone. When the following method is used, the sound collection device 11 includes three microphones 111-l (microphones 111-1, 111-2, and 111-3). The microphones 111-1, 111-2, and 111-3 are placed on the xy plane. The microphones 111-1 and 111-2 are placed equidistant from the origin on the x-axis. Microphone 111-3 is installed on the y-axis at a distance equal to the distance from the origin to microphone 111-1. The sound source direction estimated by microphones 111-1 and 111-2 is defined as θ1, and the sound source direction estimated by microphones 111-1 and 111-3 is defined as θ2. Accident location estimation unit 114 calculates the equations of two lines A and B using the sound source directions θ1 and θ2. Line A is determined by the following equation 1. Line B is determined by the following equation 2.

[0027]

number

[0028]

number

[0029] The captured image acquisition unit 115 transmits the location information estimated by the accident location estimation unit 114 to the camera device 21-m capable of capturing the accident location. The captured image acquisition unit 115 acquires the captured image from the camera device 21-m according to the location information. The camera device 21-m capable of capturing the accident location is selected from among the multiple camera devices 21. For example, the captured image acquisition unit 115 selects an arbitrary camera device 21-m from the multiple camera devices 21 using the accident location information and the location information of the camera device 21-m. The captured image acquisition unit 115 transmits the location information to the camera device 21-m capable of capturing the accident location. For example, the captured image acquisition unit 115 transmits the location information to the camera device 21-m closest to the accident location. The captured image acquisition unit 115 may transmit the location information to the multiple camera devices 21-m capable of capturing the accident location according to the distance from the camera device 21-m to the accident location and the focal length of the camera device 21-m. The photographed image acquisition unit 115 acquires photographed images taken according to the position information from the photographing device 21-m.

[0030] The output unit 116 generates output information including the location information estimated by the accident location estimation unit 114 and the captured image acquired by the captured image acquisition unit 115. The output unit 116 outputs the generated output information. The output unit 116 outputs the output information to the administrator terminal 30 owned by the management station. Note that the output destination of the output information is not limited to the administrator terminal 30.

[0031] FIG. 3 is a diagram showing an example of output information generated by the output unit 116. As shown in FIG. 3, the output information includes at least location information (D2) of the accident location and a captured image (D4) acquired by the captured image acquisition unit 115. While FIG. 3 shows an example in which the captured image acquisition unit 115 acquires multiple captured images, the present invention is not limited to this. If the captured image acquisition unit 115 acquires only a single captured image, the output information may include only one captured image (D4). The output information may also include information (D1) indicating that an accident has occurred and an audio file (D3) of the accident sound collected by the sound collection device 11.

[0032] The storage unit 117 stores information used in the processing of the detection device 100. When the detection device 100 is part of the configuration of the sound collection device 11-n, the storage unit 117 stores position information of each of the image capture devices 21-m. The storage unit 117 also stores at least one of an accident sound determination model, an acoustic signal of an accident sound, and an acoustic signal of a normal sound, depending on the method for detecting the accident sound. When the detection device 100 is implemented as an independent information processing device, the storage unit 117 stores position information of each of the sound collection devices 11-n and position information of each of the image capture devices 21-m. The storage unit 117 also stores at least one of an accident sound determination model, an acoustic signal of an accident sound, and an acoustic signal of a normal sound, depending on the method for detecting the accident sound. When the detection device 100 is part of the configuration of the sound collection device 11-n, the storage unit 117 stores position information of each of the sound collection devices 11-n. The storage unit 117 further stores at least one of an accident sound determination model, an acoustic signal of an accident sound, and an acoustic signal of a normal sound, depending on the method for detecting an accident sound.

[0033] The photographing device 21 includes a photographing unit 211 and a control unit 212. For example, the photographing device 21 is realized by a photographing device such as a digital camera. For example, the photographing device 21 may be realized by a surveillance camera whose photographing direction can be controlled. The photographing device 21 is provided on a camera platform (not shown). The photographing device 21 may be integrated with the camera platform. The photographing unit 211 is an example of a photographing means for photographing still images or videos. The control unit 212 is an example of a control means for controlling the photographing unit 211. Specifically, the control unit 212 issues a photographing command to the photographing unit 211 and controls the photographing direction of the photographing unit 211. The control unit 212 controls the photographing direction by changing the angle of a camera platform (not shown) provided in the photographing device 21. When the control unit 212 receives location information from the accident occurrence position estimation unit 114, it changes the photographing direction according to the location information. For example, the control unit 212 adjusts the photographing direction so that the received location information is at the center of the photographed image. When the control unit 212 changes the shooting direction of the shooting unit 211, it outputs a shooting command to the shooting unit 211. The shooting unit 211 takes a picture in accordance with the shooting command. The shooting unit 211 transmits the shot image to the shot image acquisition unit 115.

[0034] The administrator terminal 30 is a terminal device owned by an administration office that manages roads. For example, the administrator terminal 30 is located in the administration office. For example, the administrator terminal 30 is realized by an information processing device such as a PC (Personal Computer), a tablet terminal, or a smartphone. The administrator terminal 30 has a display unit for displaying received output information. Although one administrator terminal 30 is shown in FIG. 2, this is an example. There may be one or more administrator terminals 30, and there may also be multiple administrator terminals 30.

[0035] (Detection device operation) Next, an example of the operation of the detection device 100 in this embodiment will be described with reference to the drawings. Fig. 4 is a flowchart showing an example of the operation of the detection device in the present disclosure.

[0036] 4, first, the acoustic signal acquisition unit 112 acquires the acoustic signals collected by the sound collection unit 111 (step S11). Specifically, the acoustic signal acquisition unit 112 acquires the acoustic signals collected by the multiple microphones 111-l included in the sound collection device 11.

[0037] Next, the accident sound detection unit 113 detects an accident sound from the sound signal acquired by the sound signal acquisition unit 112 (step S12). For example, the accident sound detection unit 113 detects an accident sound using an accident sound determination model generated in advance.

[0038] Next, the accident location estimation unit 114 estimates position information of the accident location, which is the sound source position of the accident sound (step S13). The accident location estimation unit 114 estimates the sound source direction using a known sound source localization technique. The accident location estimation unit 114 uses the estimated sound source direction to estimate the sound source position, i.e., position information of the accident location, by a known sound source location estimation technique.

[0039] Next, the photographed image acquiring unit 115 transmits the location information estimated by the accident location estimating unit 114 to the photographing device 21-m capable of photographing the accident location (step S14). Furthermore, the photographed image acquiring unit 115 acquires the photographed image taken according to the accident location information from the photographing device 21-m (step S15).

[0040] Next, the output unit 116 generates output information including the location information estimated by the accident location estimation unit 114 and the captured image acquired by the captured image acquisition unit 115 (step S16). The output unit 116 outputs the generated output information (step S17). For example, the output unit 116 outputs the generated output information to the administrator terminal 30 owned by the management station. After completing the process of step S16, the detection device 100 ends the series of processes described above.

[0041] (Operation of the imaging device) Next, an example of the operation of the photographing device 21 in this embodiment will be described with reference to the drawings. Fig. 5 is a flowchart showing an example of the operation of the photographing device in this disclosure.

[0042] First, the control unit 212 changes the shooting direction using the received accident location information (step S21). For example, the control unit 212 adjusts the shooting direction so that the received location information is at the center of the shot image. After changing the shooting direction, the control unit 212 outputs a shooting command to the shooting unit 211.

[0043] Next, the photographing unit 211 photographs in accordance with the photographing command (step S22).

[0044] Next, the photographing unit 211 transmits the photographed image to the photographed image acquiring unit 115 (step S23). After completing the process of step S23, the photographing device 21 ends the series of processes described above.

[0045] As described above, the detection device of this embodiment includes an acoustic signal acquisition unit, an accident sound detection unit, an accident location estimation unit, a captured image acquisition unit, and an output unit. The acoustic signal acquisition unit acquires acoustic signals collected by sound collection devices installed along roads. The accident sound detection unit detects accident sounds from the acoustic signals acquired by the acquisition unit. The accident location estimation unit identifies location information for the accident location, which is the sound source location of the accident sound. The captured image acquisition unit transmits the location information for the accident location to a camera capable of capturing images of the accident location, and acquires captured images according to the location information. The output unit outputs output information including the location information and the captured images.

[0046] The detection device of this embodiment, with the above configuration, can output not only the results of acoustic signal processing but also captured images according to location information of the accident location. Conventional technologies for detecting accidents using acoustic signal processing can detect accident sounds but cannot grasp the scale of the accident. Furthermore, conventional acoustic signal processing has the risk of falsely detecting accident sounds. This is due to the high difficulty of modeling target sounds and the inclusion of noise in the collected sound data. The output information generated by the detection device of this embodiment includes captured images according to location information of the accident location. A manager checking the screen of the terminal device displaying the output information can grasp the scale of the accident by viewing the captured images. Furthermore, by viewing the captured images, the manager can determine whether the accident detected by sound actually occurred or was a false detection. In other words, the detection device of this embodiment can improve the accuracy of traffic accident detection.

[0047] In one aspect of this embodiment, the captured image acquisition unit transmits location information to multiple image capture devices capable of capturing images of the accident location. The captured image acquisition unit receives multiple captured images from the multiple image capture devices. The output unit generates output information including the multiple captured images. According to the detection device of this aspect, the accident scene is captured at multiple angles of view by the multiple image capture devices. As a result, blind spots in images captured by one image capture device may be included in images captured by another image capture device. In other words, according to the detection device of this aspect, it is possible to reduce blind spots that may be included in captured images. In other words, according to the detection device of this embodiment, it is possible to improve the accuracy of traffic accident detection.

[0048] In one aspect of this embodiment, the sound collection device is realized by a microphone array having multiple microphones. In order to estimate the location of an accident, it is necessary to use acoustic signals collected by the multiple microphones. For example, when the sound collection device is realized by a microphone, the same acoustic vibration needs to be collected by multiple microphones, which narrows the installation interval of the sound collection devices. This may result in an increase in the number of installed sound collection devices. When the sound collection device is realized by a microphone array, the above-mentioned problem does not occur. This is because the microphone array has multiple microphones, and therefore the location of an accident can be estimated using a single microphone array.

[0049] (Variation) In the present embodiment, the detection device 100 (sound collection device 11) is configured to include the output unit 116, but the imaging device 21 may also include the output unit 116. FIG. 6 is a block diagram showing an example of the configuration of a detection system 1-1 in a modified example of the present disclosure. The sound collection device 11-1 includes a transmission unit 118 instead of the captured image acquisition unit 115. The transmission unit 118 is an example of a transmission means that transmits location information of the accident location estimated by the accident location estimation unit 114 to the control unit 212. The output unit 116 generates output information including the location information received from the sound collection device 11 and the captured image captured by the imaging device 21. The output unit 116 outputs the generated output information. In the configuration of FIG. 6, the output information is transmitted from the imaging device 21-1 to the administrator terminal 30 immediately after the captured image is captured according to the location information. Therefore, according to the configuration of FIG. 6, the timing of outputting the captured image to the administrator terminal 30 can be accelerated compared to when the captured image is output to the administrator terminal 30 via the sound collection device 11.

[0050] In the present embodiment, the captured image acquisition unit 115 is configured to transmit the location information estimated by the accident location estimation unit 114 to the camera device 21-m capable of capturing the accident location, but the present invention is not limited to this configuration. For example, the captured image acquisition unit 115 may be configured to transmit a control command specifying the rotation angle of the camera platform of the camera device 21-m to the camera device 21-m capable of capturing the accident location. In this case, the captured image acquisition unit 115 uses the accident location and the position of the camera device 21-m to calculate the rotation angle of the camera platform required for the camera unit 211 of the camera device 21-m to capture the direction of the capture location. For example, the captured image acquisition unit 115 calculates the rotation angle in the left-right direction (pan direction) and the rotation angle in the up-down direction (tilt direction) required to capture the capture location, assuming that the normal angle of the camera device 21-m (e.g., the azimuth angle and elevation / depression angle of the camera platform when the capture direction of the camera device 21-m is oriented in a predetermined reference direction) is 0 degrees. The captured image acquisition unit 115 transmits a control command including the calculated rotation angles in the left-right direction (pan direction) and the up-down direction (tilt direction) to the image capture device 21-m. Upon receiving the control command, the control unit 212 of the image capture device 21-m changes the image capture direction by rotating the camera platform in accordance with the control command. With the above configuration, the detection device 100 of this embodiment can be applied to image capture devices that are not equipped with a calculation device such as a CPU (Central Processing Unit) for controlling the image capture direction.

[0051] [Second embodiment] Next, a detection system and a detection device according to this embodiment will be described with reference to the drawings. In the following description, explanations of parts that are the same as those in the first embodiment will be omitted as appropriate. The detection device of this embodiment differs from the detection device of the first embodiment in that it performs accident detection by image processing in addition to accident detection processing by acoustic signal processing.

[0052] (composition) 7 is a block diagram showing an example of the configuration of a detection system according to the present disclosure. The detection system 2 includes a sound collection device 12, an image capture device 22, a detection device 200, and an administrator terminal 30. The administrator terminal 30 is similar to the administrator terminal 30 of the first embodiment, and therefore a description thereof will be omitted.

[0053] The sound collection device 12-n is a type of electroacoustic transducer that converts acoustic vibrations into acoustic signals and collects sound. As in the first embodiment, the sound collection device 12-n of this embodiment is realized by a microphone array, but is not limited to this. The sound collection device 12 includes a sound collection unit 121. The sound collection unit 121 collects ambient acoustic signals. The sound collection unit 121 includes a plurality of microphones 121-1 to 121-1.

[0054] The photographing device 22 includes a photographing section 221 and a control section 222. The photographing section 221 and the control section 222 are similar to the photographing section 211 and the control section 212 in the first embodiment, and therefore a description thereof will be omitted.

[0055] The detection device 200 includes a sound signal acquisition unit 201, an accident sound detection unit 202, an accident location estimation unit 203, a captured image acquisition unit 204, an accident image detection unit 205, a storage unit 206, and an output unit 207. For example, the detection device 200 is realized by an independent information processing device. The detection device 200 may also be realized as part of the configuration of the sound collection device 12, the image capture device 22, or the administrator terminal 30. The sound signal acquisition unit 201, the accident sound detection unit 202, and the accident location estimation unit 203 are similar to the sound signal acquisition unit 112, the accident sound detection unit 113, and the accident location estimation unit 114 in the first embodiment, and therefore description thereof will be omitted.

[0056] The photographed image acquisition unit 204 transmits the location information estimated by the accident location estimation unit 203 to the photographing device 22-m capable of photographing the accident location. The photographed image acquisition unit 204 acquires the photographed image taken according to the location information from the photographing device 22-m. For example, the photographed image acquisition unit 204 transmits the location information to the photographing device 22-m that is closest to the accident location. For example, the photographed image acquisition unit 204 may transmit the location information to multiple photographing devices 22-m capable of photographing the accident location. The photographed image acquisition unit 204 acquires the photographed image taken according to the location information from the photographing device 22-m.

[0057] The accident image detection unit 205 is an example of an accident image detection means that detects an accident using captured images taken according to the location of the accident. When the captured image acquisition unit 204 acquires multiple captured images, the accident image detection unit 205 detects an accident for each captured image. For example, the accident image detection unit 205 detects an accident using the method described below. Note that the following method is an example and is not limited to this.

[0058] For example, the accident image detection unit 205 detects an accident using a pre-created accident image determination model. The accident image determination model is stored in the storage unit 206. The accident image determination model is machine-learned using images under normal conditions and images at the time of an accident as training data. The training data is preferably both images under normal conditions and images at the time of an accident, but may be either one of them. The accident image detection unit 205 detects an accident from the captured image by inputting the captured image into the accident image determination model. For example, the accident image detection unit 205 may compare the captured image with images of the accident stored in the storage unit 206 and detect an accident based on the degree of similarity.

[0059] For example, the accident image detection unit 205 may detect an accident by comparing a captured image with an image in a normal state stored in the storage unit 206.

[0060] For example, the accident image detection unit 205 may detect a traffic abnormality that obstructs traffic flow as an accident. First, the accident image detection unit 205 detects vehicles and their states from the captured image. If there is a vehicle whose state is different from a normal state, the accident image detection unit 205 determines that a traffic abnormality has occurred.

[0061] The storage unit 206 stores information used in the processing of the detection device 200. When the detection device 200 is part of the configuration of the sound collection device 12-n, the storage unit 206 stores position information of each of the image capture devices 22-m. The storage unit 206 also stores at least one of an accident sound determination model, an acoustic signal of an accident sound, and an acoustic signal of a normal sound, depending on the method for detecting the accident sound. When the detection device 200 is implemented as an independent information processing device, the storage unit 206 stores position information of each of the sound collection devices 12-n and position information of each of the image capture devices 22-m. The storage unit 206 also stores at least one of an accident sound determination model, an acoustic signal of an accident sound, and an acoustic signal of a normal sound, depending on the method for detecting the accident sound. When the detection device 200 is part of the configuration of the sound collection device 12-n, the storage unit 206 stores position information of each of the sound collection devices 12-n. The storage unit 206 further stores at least one of an accident sound determination model, an acoustic signal of an accident sound, and an acoustic signal of a normal sound, depending on the method for detecting an accident sound.

[0062] When an accident is detected by the accident image detection unit 205, the output unit 207 generates output information including the location information estimated by the accident occurrence location estimation unit 203 and the captured images captured by the imaging device 22. When the captured image acquisition unit 204 acquires multiple captured images, the output unit 207 generates output information when an accident is detected in at least one of the multiple captured images. The output unit 207 outputs the generated output information.

[0063] (Detection device operation) Next, the operation of the detection device 200 according to this embodiment will be described with reference to Fig. 8. Note that the operation of the imaging device 22 is the same as the operation shown in Fig. 5, and therefore the description thereof will be omitted.

[0064] First, the acoustic signal acquiring unit 201 acquires the acoustic signals collected by the sound collecting unit 121 (step S201). Specifically, the acoustic signal acquiring unit 201 acquires the acoustic signals collected by the plurality of microphones 121-l included in the sound collecting device 12.

[0065] Next, the accident sound detection unit 202 detects an accident sound from the sound signal acquired by the sound signal acquisition unit 201 (step S202). For example, the accident sound detection unit 202 detects an accident sound using an accident sound determination model created in advance.

[0066] Next, the accident location estimation unit 203 estimates position information of the accident location, which is the sound source position of the accident sound (step S203). The accident location estimation unit 203 estimates the sound source direction using a known sound source localization technique. The accident location estimation unit 203 uses the estimated sound source direction to estimate the sound source position, i.e., position information of the accident location, by a known sound source location estimation technique.

[0067] Next, the photographed image acquiring unit 204 transmits the position information estimated by the accident position estimating unit 203 to the photographing device 22-m capable of photographing the accident position (step S204).

[0068] Next, the photographed image acquisition unit 204 acquires, from the photographing device 22-m, photographed images photographed in accordance with the accident occurrence location information (step S205).

[0069] Next, the accident image detection unit 205 detects an accident using the captured image taken according to the accident occurrence position (step S206). For example, the accident image detection unit 205 detects an accident using an accident image determination model created in advance.

[0070] Next, the output unit 207 determines whether or not an accident has been detected by the accident image detection unit 205 (step S207). If the accident image detection unit 205 has not detected an accident (No in step S207), the output unit 207 ends the process. If the accident image detection unit 205 has detected an accident (Yes in step S207), the output unit 207 generates output information including the location information estimated by the accident occurrence location estimation unit 203 and the captured image acquired by the captured image acquisition unit 204 (step S208). The output unit 207 outputs the generated output information (step S209). For example, the output unit 207 outputs the generated output information to the administrator terminal 30 owned by the management station. After completing the process of step S208, the detection device 100 ends the series of processes described above.

[0071] The detection device of this embodiment is configured as described above. In addition to the effects described in the first embodiment, the detection device of this embodiment has the following effects.

[0072] The detection device of this embodiment further includes an accident image detection unit that detects an accident using captured images acquired from the imaging device. In addition, when an accident is detected by the accident image detection unit, the output unit included in the detection device of this embodiment generates output information including location information estimated by the accident location estimation unit and the captured images captured by the imaging device.

[0073] As described above, general acoustic signal processing has the risk of falsely detecting accident sounds. This is due to the high difficulty of modeling the target sound and the inclusion of noise in the collected sound data. The detection device of this embodiment detects an accident again using captured images after detecting an accident sound through acoustic signal processing. The detection device of this embodiment does not generate or output output information unless an accident is detected by the accident image detection unit, even if the accident sound detection unit detects something other than an accident sound. Therefore, the detection device of this embodiment can improve the accuracy of traffic accident detection.

[0074] The captured image acquisition unit included in the detection device according to one aspect of the present embodiment transmits location information to the multiple image capture devices. The captured image acquisition unit acquires multiple captured images from the multiple image capture devices. Furthermore, when an accident is detected in at least one of the multiple captured images, the output unit generates output information including the location information and the multiple captured images. The output unit outputs the generated output information. For example, if an area where an accident occurred is a blind spot in an image captured by a certain image capture device, the accident cannot be detected from the image captured by that image capture device. However, the blind spot may not be a blind spot area in images captured by other image capture devices. Therefore, it is possible to detect an accident from images captured by other image capture devices. The detection device according to this aspect generates output information when an accident is detected in at least one of the multiple captured images. In other words, the detection device according to this aspect is less affected by blind spots, making it easier to detect accidents. In other words, the detection device according to this embodiment can improve the accuracy of traffic accident detection.

[0075] (Variation) The detection system 2 of this embodiment may be realized by the configuration of a detection system 2-1 shown in FIG. 9. The transmission unit 124 included in the sound collection device 12-1 is similar to the transmission unit 118 shown in the modified example of the first embodiment. The memory unit 206-1 stores information used in the processing of the accident sound detection unit 202 and the accident location estimation unit 203, among the information stored in the memory unit 206. The memory unit 206-2 stores information used in the processing of the accident image detection unit 205, among the information stored in the memory unit 206. The output unit 207 generates output information including the location information received from the sound collection device 12-1 and the captured image captured by the image capture device 22-1. In the configuration of FIG. 9, the output information is transmitted from the image capture device 22-1 to the administrator terminal 30 immediately after the captured image is captured in accordance with the location information. Therefore, with the configuration of FIG. 9, the timing of outputting the captured image to the administrator terminal 30 can be accelerated compared to when the captured image is output to the administrator terminal 30 via the detection device 200.

[0076] In the detection system 2 of this embodiment, the multiple sound collection devices 12-n are realized by a microphone array, but may also be realized by microphones. The multiple microphones are arranged along the road. When the multiple sound collection devices 12 are realized by microphones, the accident location estimation unit 203 estimates position information of the accident location using, for example, the principle of triangulation. For example, according to the method disclosed in Patent Document 1 (JP 2020-087883 A), the principle of triangulation can be used to estimate position information of the accident location.

[0077] In this embodiment, the detection device 200 performs an accident detection process using image processing after an accident detection process using acoustic signal processing, but this order may be reversed. The operation of the detection device 200 when the order of the accident detection process using acoustic signal processing and the accident detection process using image processing is reversed will be described with reference to FIG. 10 . FIG. 10 shows an example of the operation of the detection device in this modification. In FIG. 10 , first, the captured image acquisition unit 204 acquires captured images captured by the image capture device 22 (step S211). Next, the accident image detection unit 205 detects an accident using the captured images (step S212). Next, the accident image detection unit 205 estimates the location of the accident using the captured images (step S213). Next, the acoustic signal acquisition unit 201 transmits accident location information to the sound collection device 12 capable of collecting sound at the accident location (step S214). The acoustic signal acquisition unit 201 acquires acoustic signals collected by the sound collection device 12 (step S215). In step S215, the sound signal acquisition unit 201 acquires sound signals acquired in a specific time period starting from the time when the accident was detected in step S212. For example, the sound signal acquisition unit 201 acquires sound signals in a time period going back a predetermined time period determined by the user from the time when the accident was detected in step S212. Next, the accident sound detection unit 202 detects an accident sound from the acquired sound signals (step S216). If an accident sound is not detected (No in step S217), the output unit 207 ends the processing. If an accident sound is detected (Yes in step S217), the output unit 207 generates output information including the accident location and the captured image (step S218). The output unit 207 outputs the generated output information (step S219).

[0078] [Third embodiment]

[0079] (composition) Next, the configuration of the detection system 3 according to this embodiment will be described with reference to the drawings. The detection system 3 has a simplified configuration of the detection device according to each embodiment. In the following description, the same parts as those in the first or second embodiment will be omitted as appropriate.

[0080] 11 is a block diagram showing an example of the configuration of a detection device according to the present disclosure. The detection device 100 includes a sound signal acquisition unit 101, an accident sound detection unit 102, an accident location estimation unit 103, a captured image acquisition unit 104, and an output unit 105.

[0081] The sound signal acquisition unit 101 is an example of a sound signal acquisition means that acquires sound signals collected by sound collection devices installed along roads.

[0082] The accident sound detection unit 102 is an example of an accident sound detection means that detects an accident sound from the sound signal acquired by the sound signal acquisition unit 101 .

[0083] The accident location estimation unit 103 is an example of an accident location estimation means that estimates the location information of the accident location, which is the sound source location of the accident sound.

[0084] The captured image acquisition unit 104 is an example of a captured image acquisition means that transmits the location information estimated by the accident location estimation unit 103 to a camera capable of capturing the location of the accident, and acquires the captured image from the camera according to the location information.

[0085] The output unit 105 is an example of an output means that outputs output information including location information and a captured image.

[0086] (operation) Next, an example of the operation of the detection device 100 according to the present disclosure will be described with reference to FIG.

[0087] First, the sound signal acquisition unit 101 acquires sound signals collected by sound collection devices installed along the road (step S101).

[0088] Next, the accident sound detection unit 102 detects an accident sound from the sound signal acquired by the sound signal acquisition unit 101 (step S102).

[0089] Next, the accident occurrence position estimation unit 103 estimates the position information of the accident occurrence position, which is the sound source position of the accident sound (step S103).

[0090] Next, the photographed image acquisition unit 104 transmits the position information estimated by the accident position estimation unit 103 to an imaging device capable of capturing an image of the accident position (step S104).

[0091] Next, the photographed image acquisition unit 104 acquires the photographed image taken according to the location information from the photographing device (step S105).

[0092] Next, the output unit 105 outputs the output information including the position information and the captured image (step S106).

[0093] According to the detection device of this embodiment, it is possible to obtain the same effects and functions as the detection device of the first embodiment.

[0094] [Hardware configuration] The functions of each of the components in each of the embodiments of the present disclosure described above can be realized not only by hardware but also by a computer device or firmware under program control.

[0095] 13 is a diagram showing an example of a hardware configuration in which a detection device according to the present disclosure is realized by a computer device 90 including a processor. The detection device according to each embodiment is realized by the computer device 90. As shown in FIG. 13, the computer device 90 includes a CPU (Central Processing Unit) 91, memory 92, a storage device 93 such as a hard disk for storing programs, an input / output interface 94 for connecting input devices and output devices, and a communication interface 95 for connecting to a network.

[0096] The CPU 91 runs an operating system to control the prediction device of the present disclosure. For example, the CPU 91 reads programs and data from a storage medium attached to a drive device or the like into the memory 92. The CPU 91 also functions as part of the acoustic signal acquisition unit 101, accident sound detection unit 102, accident location estimation unit 103, captured image acquisition unit 104, and output unit 105 of the detection device 100 of the present disclosure, and executes processing or commands based on the programs.

[0097] The storage device 93 may be, for example, an optical disk, a flexible disk, a magneto-optical disk, an external hard disk, or a semiconductor memory. Some storage media in the storage device are non-volatile storage devices, and the programs are recorded therein. The programs may also be downloaded from an external computer (not shown) connected to a communication network.

[0098] The input device connected to the input / output interface 94 is realized by, for example, a mouse or a keyboard, and is used for input operations. Similarly, the output device connected to the input / output interface 94 is realized by, for example, a display, and is used for displaying and checking output results.

[0099] Although the present disclosure has been described above with reference to each embodiment, the present disclosure is not limited to the above-described embodiments. Various modifications that would be understood by a person skilled in the art can be made to the configuration and details of the present disclosure within the scope of the present disclosure. For example, although multiple operations are described in order in the form of a flowchart, the order of description does not limit the order in which the multiple operations are performed. Therefore, when implementing each embodiment, the order of the multiple operations can be changed as long as it does not affect the content.

[0100] Some or all of the above embodiments can also be described as follows:

[0101] (Appendix 1) an acoustic signal acquisition means for acquiring an acoustic signal collected by a sound collection device installed along a road; an accident sound detection means for detecting an accident sound from the acoustic signal; an accident occurrence position estimation means for estimating position information of an accident occurrence position, which is the sound source position of the accident sound; a photographed image acquiring means for transmitting the location information to a photographing device capable of photographing the location where the accident occurred, and acquiring a photographed image from the photographing device in accordance with the location information; an output means for outputting output information including the position information and the photographed image; A detection device comprising: (Appendix 2) 2. The detection device of claim 1, wherein the sound collection device is a microphone array having a plurality of microphones. (Appendix 3) The photographed image acquisition means transmitting the location information to the plurality of image capturing devices; acquiring a plurality of the photographed images from the plurality of photographing devices; The output means 3. The detection device of claim 2, wherein the detection device outputs output information including the location information and the plurality of captured images. (Appendix 4) further comprising an accident image detection means for detecting an accident using the acquired photographed image; The output means 3. The detection device according to claim 2, wherein when an accident is detected by the accident image detection means, output information including the location information and the captured image is output. (Appendix 5) The photographed image acquisition means transmitting the location information to the plurality of image capturing devices; acquiring a plurality of the photographed images from the plurality of photographing devices; The output means The detection device according to claim 4, wherein when an accident is detected in at least one of the plurality of captured images, output information including the location information and the plurality of captured images is output. (Appendix 6) A detection device according to any one of Supplementary Notes 1 to 5; A plurality of the sound collection devices are installed along a road; a plurality of the photographing devices installed along a road, The sound collection device is a sound collection means for collecting the acoustic signal; The imaging device is The camera includes a photographing means for photographing an image and a control means for controlling the photographing direction of the photographing means, The sound collection means is transmitting the collected acoustic signal to the acoustic signal acquisition means; The control means controlling the photographing direction in accordance with the position information received from the accident location estimation; The photographing means is A detection system that transmits the captured image to the captured image acquisition means. (Appendix 7) A traffic accident detection system including a plurality of microphone arrays and a plurality of image capturing devices installed along a road, Each of the plurality of microphone arrays a sound collection means including a plurality of microphones for collecting sound signals; an accident sound detection means for detecting an accident sound from the acoustic signal; an accident occurrence position estimation means for estimating position information of an accident occurrence position, which is the sound source position of the accident sound; a transmitting means for transmitting the location information to a photographing device capable of photographing the location where the accident occurred; and Each of the plurality of imaging devices a control means for changing the photographing direction using the position information received from the transmission means; An imaging means for capturing an image; an output means for outputting the accident location and the image captured by the image capturing means; having Detection system. (Appendix 8) Each of the plurality of imaging devices further comprising an accident image detection means for detecting an accident using the captured image; The output means 8. The detection system according to claim 7, wherein when an accident is detected by the accident image detection means, output information including the location information and the captured image is output. (Appendix 9) 3. The detection device of claim 2, wherein the output information further includes an audio file of the accident sound picked up by the plurality of microphones. (Appendix 10) The computer Acquires acoustic signals collected by sound collection devices installed along roads, Detecting an accident sound from the acoustic signal; Estimating position information of an accident occurrence position, which is the sound source position of the accident sound; transmitting the location information to a photographing device capable of photographing the location where the accident occurred; acquiring a photographed image photographed according to the location information from the photographing device; and outputting output information including the position information and the captured image. (Appendix 11) 11. The detection method of claim 10, wherein the sound collection device is a microphone array having a plurality of microphones. (Appendix 12) The computer In transmitting the location information, the location information is transmitted to a plurality of the photographing devices; In acquiring the photographed images, a plurality of the photographed images are acquired from the plurality of photographing devices; 12. The detection method according to claim 10, wherein the output comprises generating and outputting output information including the location information and the plurality of captured images. (Appendix 13) The computer further 12. The detection method according to claim 10 or 11, wherein an accident is detected using the acquired photographic image. (Appendix 14) The computer In transmitting the location information, the location information is transmitted to a plurality of the photographing devices; In acquiring the photographed images, a plurality of the photographed images are acquired from the plurality of photographing devices; The detection method described in Appendix 13, wherein, in the output processing, if an accident is detected in at least one of the plurality of captured images, output information including the location information and the plurality of captured images is generated and output. (Appendix 15) 15. The detection method according to any one of appendices 11 to 14, wherein the output information further includes an audio file of the accident sound picked up by the plurality of microphones. (Appendix 16) On the computer, A process of acquiring an acoustic signal collected by a sound collection device installed along a road; A process of detecting an accident sound from the acoustic signal; a process of estimating position information of an accident occurrence position, which is the sound source position of the accident sound; a process of transmitting the location information to a photographing device capable of photographing the location where the accident occurred; A process of acquiring a photographed image photographed according to the location information from the photographing device; generating and outputting output information including the location information and the photographed image; A program that executes. (Appendix 17) The program according to claim 10, wherein the sound collection device is a microphone array having a plurality of microphones. (Appendix 18) In the process of transmitting the location information, the location information is transmitted to the plurality of image capturing devices; In the process of acquiring the captured images, a plurality of the captured images are acquired from the plurality of image capturing devices; 18. The program according to claim 16, wherein in the outputting process, output information including the position information and the plurality of captured images is generated and output. (Appendix 19) The computer, moreover, 18. The program according to claim 16 or 17, which executes a process of detecting an accident using the acquired captured image. (Appendix 20) In the process of transmitting the location information, the location information is transmitted to the plurality of image capturing devices; In the process of acquiring the captured images, a plurality of the captured images are acquired from the plurality of image capturing devices; The program described in Appendix 19, wherein, in the output process, if an accident is detected in at least one of the plurality of captured images, output information including the location information and the plurality of captured images is generated and output. (Appendix 21) 21. The detection method according to any one of appendices 17 to 20, wherein the output information further includes an audio file of the accident sound picked up by the plurality of microphones. [Explanation of symbols]

[0102] 1, 2 Detection system 11, 12 Sound recording device 21, 22 Imaging device 30 Administrator terminal 100, 200 detection device 111, 121 sound pickup section 101, 112, 201 Acoustic signal acquisition unit 102, 113, 202 Accident sound detection unit 103, 114, 203 Accident location estimation unit 104, 115, 204 Image acquisition unit 205 Accident image detection unit 105, 116, 207 Output section 117, 206 Memory section 211, 221 Filming Department 212, 222 control section 90 Computer Equipment 91 CPU(Central Processing Unit) 92 memory 93 Storage device 94 Input / Output Interface 95 Communication Interface

Claims

1. an acoustic signal acquisition means for acquiring an acoustic signal collected by a sound collection device installed along a road; an accident sound detection means for detecting an accident sound from the acoustic signal; an accident occurrence position estimation means for estimating position information of an accident occurrence position, which is the sound source position of the accident sound; a photographed image acquiring means for transmitting the location information to a plurality of photographing devices capable of photographing the location where the accident occurred, and acquiring photographed images from the plurality of photographing devices in accordance with the location information; an accident image detection means for detecting an accident using the acquired plurality of photographed images; an output means for outputting output information including the location information and the photographed image when an accident is detected in at least one of the plurality of photographed images; A detection device comprising:

2. The detection device according to claim 1 , wherein the sound pickup device is a microphone array having a plurality of microphones.

3. The photographed image acquisition means transmitting the location information to the plurality of image capturing devices; acquiring a plurality of the photographed images from the plurality of photographing devices; The output means The detection device according to claim 2 , wherein output information includes the position information and the plurality of captured images.

4. A detection device according to any one of claims 1 to 3; A plurality of the sound collection devices are installed along a road; a plurality of the photographing devices installed along a road, The sound collection device is a sound collection means for collecting the acoustic signal; The imaging device is The camera includes an image capturing means for capturing the captured image and a control means for controlling the image capturing direction of the image capturing means, The sound collection means is transmitting the collected acoustic signal to the acoustic signal acquisition means; The control means controlling the photographing direction in accordance with the position information received from the accident occurrence position estimating means; The photographing means is taking the photographed image in accordance with the control of the control means; A detection system that transmits the captured image to the captured image acquisition means.

5. A traffic accident detection system including a plurality of microphone arrays and a plurality of image capturing devices installed along a road, Each of the plurality of microphone arrays a sound collection means including a plurality of microphones for collecting sound signals; an accident sound detection means for detecting an accident sound from the acoustic signal; an accident occurrence position estimation means for estimating position information of an accident occurrence position, which is the sound source position of the accident sound; a transmitting means for transmitting the location information to a plurality of the photographing devices capable of photographing the location where the accident occurred, Each of the plurality of imaging devices a control means for changing the photographing direction using the position information received from the transmission means; An imaging means for capturing an image; an accident image detection means for detecting an accident using the acquired plurality of photographed images; an output means for outputting the location of the accident and the photographed image when an accident is detected in at least one of the plurality of photographed images; having Detection system.

6. The computer Acquires acoustic signals collected by sound collection devices installed along roads, Detecting an accident sound from the acoustic signal; Estimating position information of an accident occurrence position, which is the sound source position of the accident sound; transmitting the location information to a plurality of photographing devices capable of photographing the location where the accident occurred; Acquire photographed images taken from the plurality of photographing devices according to the position information; Detecting an accident using the acquired plurality of photographed images; When an accident is detected in at least one of the plurality of photographed images, output information including the location information and the photographed image is output.

7. On the computer, A process of acquiring an acoustic signal collected by a sound collection device installed along a road; A process of detecting an accident sound from the acoustic signal; a process of estimating position information of an accident occurrence position, which is the sound source position of the accident sound; a process of transmitting the location information to a plurality of photographing devices capable of photographing the location where the accident occurred; A process of acquiring photographed images taken from the plurality of photographing devices according to the position information; A process of detecting an accident using the acquired plurality of photographed images; a process of outputting output information including the location information and the photographed image when an accident is detected in at least one of the plurality of photographed images; A program that executes.

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