JP7095312B2 - Hazard level detection device, risk level detection method, and risk level detection program - Google Patents

Description

The present invention relates to a crime prevention technique.

Detection of a person such as a suspicious person (hereinafter, simply referred to as a suspicious person) who has taken a peculiar behavior by processing a captured image of a target area captured by a conventional security camera (hereinafter, simply referred to as a camera). It is carried out. The target area is a place where an unspecified number of people gather, for example, a station, a shopping center, or a downtown area. In this system, the frame image captured by the camera is processed, the behavior of the person being imaged is analyzed, and it is determined whether or not the behavior is a peculiar behavior. In addition, when a person who has taken a peculiar action related to fraudulent activity is detected, a security guard or the like is notified to that effect.

For example, Patent Document 1 describes a configuration for determining the behavior of a subject based on an estimated posture of the subject being imaged and the environment of the place where the subject is located.

Japanese Patent No. 5559335

However, the conventional technique described in Patent Document 1 and the like applies to the persons concerned (including the parties) of the event (striking, fighting, prowling, etc.) caused by the behavior of the subject, and the third party in the vicinity thereof. The magnitude of the damage (physical damage, mental damage, financial damage, etc.) was not judged. Therefore, the guards, etc. had to judge for themselves the magnitude of the damage to the persons involved in the event that occurred and the third parties in the vicinity, and act according to the judgment result. For this reason, the work load of security guards and the like was heavy.

An object of the present invention is to provide a crime prevention technique capable of reducing the work load of security guards and the like.

The risk detection device of the present invention is configured as shown below in order to achieve the above object.

The event detection unit detects the event that occurred in the target area. The event referred to here is an event in the target area, for example, snatching, fighting, prowling, or the like. The event detection unit processes the image of the target area captured by the camera or the sound of the target area collected by the microphone to detect the event that occurred in the target area.

The environment determination unit determines the environment of the target area. The environment of the target area referred to here is the situation of the target area, and includes not only those affected by the weather such as dark, bright, rainy, and sunny, but also those affected by places such as stairs and underground.

The situation determination unit determines the status of the event that occurred in the target area detected by the event detection unit. The situation of the event mentioned here is only the person concerned (including the parties) of the event that occurred, and the point of occurrence of the event such as no third party in the vicinity, many third parties in the vicinity, and the surrounding area. Shows the situation.

The state determination unit determines the state of the target person related to the event that occurred in the target area detected by the event detection unit. The state of the target person referred to here means a state in which the target person has a blade, the target person has fallen, or the target person has been lying down for a predetermined time or longer. Subjects include not only the parties to the event that occurred, but also third parties in the vicinity.

The risk detection device of the present invention has at least two of the above-mentioned three determination units of the environment determination unit, the situation detection unit, and the state determination unit. In other words, the risk detection device of the present invention determines at least two of the above-mentioned environment of the target area, the situation of the event, and the state of the target person.

The risk estimation unit estimates the risk for each type of risk element corresponding to the event that occurred in the target area, using the environment of the determined target area, the situation of the event, or the state of the target person. The risk factors mentioned here are physical damage, mental damage, financial damage, etc. caused by the event that occurred this time.

As described above, in this configuration, the degree of danger is estimated for each type of danger element by using two or more of the environment of the target area, the situation of the event, and the state of the target person. Therefore, security guards and the like do not have to judge for themselves the magnitude of damage to the persons involved in the event that occurred and the third parties in the vicinity. Therefore, the work load of security guards and the like can be reduced.

In addition, the risk detection device is a notification destination determination unit and a notification destination determination unit that determine the notification destination for notifying the occurrence of an event in the target area according to the risk level for each type of danger element by the risk estimation unit. The notification destination determined by the above may be provided with a notification unit for notifying the occurrence of an event in the target area. With this configuration, it is possible to promptly notify appropriate organizations such as police stations and fire departments of an event that has occurred, and it extends to the parties involved in the event (including the parties concerned) and third parties in the vicinity. The spread of damage (physical damage, mental damage, financial damage, etc.) is suppressed.

According to the present invention, the work load of security guards and the like can be reduced.

It is a schematic diagram which shows the crime prevention system to which the risk detection device concerning this example is applied. It is a block diagram which shows the structure of the main part of the risk detection device which concerns on this example. It is a flowchart which shows the operation of the risk level detection device which concerns on this example.

Hereinafter, embodiments of the present invention will be described.

<1. Application example>
FIG. 1 is a schematic view showing a crime prevention system to which the risk detection device according to the present invention is applied. A camera 2 and a microphone 3 are connected to the risk detection device 1 of this example. The risk level detection device 1 detects an event that has occurred in the target area 6, and estimates the risk level for each type of risk element corresponding to the event. The target area 6 is a space assigned to the risk detection device 1 to suppress the occurrence of crimes and the like. The camera 2 outputs an image of the target area 6 to the risk detection device 1. The camera 2 is a general video camera, and its frame rate is about 10 to 30 frames / sec. The microphone 3 collects environmental sounds (speaking voice, music, buzz, etc.) in the target area 6 and outputs them to the risk detection device 1.

The risk detection device 1 processes the frame image of the target area 6 input from the camera 2 and the environmental sound of the target area 6 input from the microphone 3 to detect an event occurring in the target area 6. The event referred to here is an event in the target area, for example, snatching, fighting, prowling, or the like. Here, snatching, fighting, prowling, etc. are referred to as event types.

Further, when the risk detection device 1 detects an event that has occurred in the target area 6, the environment of the target area 6, the status of the event that has occurred in the target area 6 that has been detected this time, and the event that has occurred in the target area 6 that has been detected this time. Judge the state of the subject. The environment of the target area mentioned here is the situation of the target area, and includes not only those related to the weather such as dark, bright, rain, and sunny, but also those related to the attributes of places such as stairs, ascending escalator, and descending escalator. I'm out. Here, dark, bright, rainy, sunny, stairs, ascending escalator, descending escalator, etc. are referred to as the types of environment of the target area 6. In addition, the situation of the event referred to here means a situation in which only the persons concerned (including the parties) of the event that have occurred, no third party is in the vicinity, and a large number of third parties are in the vicinity. Here, the type of event situation is that there is no third party in the vicinity, a large number of third parties are in the vicinity, and so on. Further, the state of the target person referred to here means a state in which the target person has a blade, the target person has fallen, or the target person has been lying down for a predetermined time or longer. Subjects include not only the parties to the event that occurred, but also third parties in the vicinity. Here, the type of state of the subject is that the subject has a blade, the subject has fallen, or the subject has been lying down for a predetermined time or longer.

The risk level detection device 1 estimates the risk level for each type of risk element corresponding to the event that occurred in the target area 6. The danger factors referred to here are physical damage, mental damage, financial damage, and the like caused to the target person by the event that occurred in the target area 6 this time. Here, physical damage, mental damage, financial damage, etc. are referred to as types of risk factors. The risk level is estimated comprehensively using the environment of the target area 6 determined for the event detected this time, the situation of the event that occurred this time, and the state of the subject related to the event that occurred this time. Therefore, security guards and the like do not have to judge for themselves the type and magnitude of damage to the persons involved in the event that occurred and the third parties in the vicinity. Therefore, the work load of security guards and the like can be reduced.

<2. Configuration example>
FIG. 2 is a block diagram showing a configuration of a main part of the risk detection device according to this example. The risk detection device 1 includes a control unit 11, a storage unit 12, an image input unit 13, a voice input unit 14, a communication unit 15, and an output unit 16.

The control unit 11 has an image processing unit 21, a voice processing unit 22, an event detection unit 23, an environment determination unit 24, a situation determination unit 25, a state determination unit 26, and a risk estimation unit 27. Details of the image processing unit 21, the audio processing unit 22, the event detection unit 23, the environment determination unit 24, the situation determination unit 25, the state determination unit 26, and the risk estimation unit 27 will be described later.

The storage unit 12 stores the estimation information 31, the event history information 32, and the notification destination information 33. The estimation information 31 is information used for estimating the degree of danger for each type of danger element for an event. For example, the estimation information 31 is information classified by the type of an event such as snatching, fighting, or prowling. Further, the estimation information 31 is information classified by the type of risk element such as physical damage, mental damage, and financial damage for each type of event. Further, the estimation information 31 is information classified by a combination pattern of the type of environment of the target area 6, the type of the situation of the event, and the type of the state of the target person for each type of danger element. This combination pattern includes the type of environment of the target area 6 (dark, bright, rain, sunny, stairs, ascending escalator, descending escalator, etc.) and the type of event situation (third party is not in the vicinity, many thirds). It is a combination of the type of condition of the subject (the subject is holding a knife, the subject is lying down, the subject is lying down for a predetermined period of time, etc.), for example.
(1) A pattern in which the environment of the target area 6 is dark, rainy, stairs, the situation of the event is that there is no third party in the vicinity, and the state of the target person has a blade.
(2) The pattern that the environment of the target area 6 is dark, rainy, stairs, the situation of the event is a situation where many third parties are in the vicinity, and the state of the target person is collapsed.
(3) The environment of the target area 6 is bright and sunny, the situation of the event is a situation where there is no third party in the vicinity, and the state of the target person has a blade.

The estimation information 31 is information in which the degree of danger is associated with each combination pattern of the type of environment of the target area 6, the type of situation of the event, and the type of state of the target person.

That is, the estimation information 31 is information in which the degree of danger is associated with each of the five items of the event, the danger element, the environment of the target area 6, the situation of the event, and the state of the target person.

The event history information 32 is information in which the environment of the target area related to the event, the status of the event, the state of the target person, the degree of danger of various dangerous elements, and the like are associated with each event that occurs in the target area 6. The degree of danger of each danger element in the event history information 32 may be estimated or may be determined after the fact.

The notification destination information 33 is information in which the contact information (police station, fire station, security room, etc.) for notifying the occurrence of an event and the magnitude of the risk to be determined to be notified are associated with each type of danger element. be.

The storage unit 12 may be a non-volatile memory (EPROM, EEPROM, etc.) or an auxiliary storage device such as a hard disk drive or a solid state drive. Further, the storage unit 12 may be composed of a plurality of storage media.

A camera 2 is connected to the image input unit 13. The image input unit 13 inputs a frame image of the target area 6 captured by the camera 2. Further, the image input unit 13 has an image memory (not shown) that temporarily stores the frame image of the target area 6 input from the camera 2.

A microphone 3 is connected to the voice input unit 14. The voice input unit 14 inputs the environmental sound of the target area 6 collected by the microphone 3.

The communication unit 15 notifies the police station, the fire station, the security room, and the like of the occurrence of an event via the network 5.

A display, a speaker, or the like is connected to the output unit 16. The output unit 16 displays a moving image of the target area 6 captured by the camera 2 on the connected display, and outputs a voice to notify the detected event from the connected speaker.

Next, the image processing unit 21, the voice processing unit 22, the event detection unit 23, the environment determination unit 24, the situation determination unit 25, the state determination unit 26, and the risk estimation unit 27 of the control unit 11 will be described.

The image processing unit 21 processes the frame image of the target area 6 captured by the camera 2 and detects moving objects (people, vehicles, etc.) and abandoned objects in the target area 6. In addition, the image processing unit 21 detects the posture of the detected person and tracks the moving body in the target area 6. The image processing unit 21 detects the type and size of the detected abandoned object. The above processing of the image processing unit 21 can be realized by using a technique related to object detection by a known background subtraction method or the like, a technique related to object attribute determination (type, posture, etc.) by pattern matching or the like.

The voice processing unit 22 performs voice recognition processing or the like on the environmental sound collected by the microphone, and detects angry voice, moaning voice, abnormal sound (metal sound, firing sound, etc.) and the like.

Based on the detection result of the image processing unit 21 and the detection result of the voice processing unit 22, the event detection unit 23 determines whether or not an event such as twitching, fighting, or prowling has occurred in the target area 6, and the event has occurred. If so, the type of the event and the like are determined.

The environment determination unit 24 determines the status of the target area 6 based on the detection result of the image processing unit 21 and the detection result of the voice processing unit 22. The environment determination unit 24 determines the brightness of the place where the event occurs in the target area 6 identified from the detection results of the image processing unit 21 and the voice processing unit 22, and the attributes of the place (stairs, ascending escalator, etc.). Downstream escalator, etc.) etc. are judged.

The situation determination unit 25 determines the status of the event detected this time based on the detection result of the image processing unit 21 and the detection result of the voice processing unit 22. The situation determination unit 25 is based on an object such as a person detected in the vicinity of a place where an event is occurring in the target area 6 identified from the detection results of the image processing unit 21 and the voice processing unit 22. It is determined that the three parties are not in the vicinity, and that many third parties are in the vicinity.

The state determination unit 26 determines the state of the target person based on the detection result of the image processing unit 21 and the detection result of the voice processing unit 22. The state determination unit 26 is determined from the detection results of the image processing unit 21 and the voice processing unit 22, and the behavior, posture, and the like of an object such as a person detected around the place where the event is occurring in the target area 6. Based on the above, it is determined that the subject has a knife, the subject has fallen, the subject has fallen for a predetermined time or more, and the like.

Regarding the type of event determined by the event detection unit 23, the risk level estimation unit 27 determines the environment of the target area 6 determined by the environment determination unit 24 and the status of the event determined by the situation determination unit 25 for each type of danger element. In the state of the target person determined by the state determination unit 26, the estimation information 31 stored in the storage unit 12 is searched, and the degree of danger is estimated (acquired).

The control unit 11 of the risk detection device 1 is composed of a hardware CPU, a memory, and other electronic circuits. When the hardware CPU executes the risk detection program according to the present invention, the image processing unit 21, the audio processing unit 22, the event detection unit 23, the environment determination unit 24, the situation determination unit 25, the state determination unit 26, and It operates as a risk estimation unit 27. Further, the memory has an area for developing the risk detection program according to the present invention and an area for temporarily storing data and the like generated when the risk detection program is executed. The control unit 11 may be an LSI in which a hardware CPU, a memory, and the like are integrated. Further, the hardware CPU is a computer that executes the risk detection method according to the present invention.

<3. Operation example>
FIG. 3 is a flowchart showing the operation of the risk detection device according to this example. In the risk detection device 1 according to this example, the event detection unit 23 repeatedly detects whether or not an event such as snatching, fighting, or prowling has occurred in the target area 6 (s1). In the risk detection device 1, the image processing unit 21 processes the frame image of the target area 6 captured by the camera 2 and detects moving objects (people, vehicles, etc.) and abandoned objects in the target area 6. There is. In addition, the image processing unit 21 detects the posture of the detected person and tracks the moving body in the target area 6. Further, the image processing unit 21 detects the type and size of the detected abandoned object. Further, the voice processing unit 22 performs voice recognition processing or the like on the environmental sound collected by the microphone, and detects angry voice, moaning voice, abnormal sound (metal sound, firing sound, etc.). The event detection unit 23 detects whether or not an event such as snatching, fighting, or prowling has occurred in the target area 6 based on the detection result of the image processing unit 21 and the detection result of the voice processing unit 22. When the event detection unit 23 detects that some event has occurred in the target area 6 in s1, the event detection unit 23 determines the type of the event (s2).

Further, when the event detection unit 23 detects that some event has occurred in the target area 6 in s1, the environment determination unit 24 targets based on the detection result of the image processing unit 21 and the detection result of the voice processing unit 22. The situation of the area 6 is determined (s3). The environment determination unit 24 determines the brightness of the place where the event occurs in the target area 6 identified from the detection results of the image processing unit 21 and the voice processing unit 22, and the attributes of the place (stairs, ascending escalator, etc.). Downstream escalator, etc.) etc. are judged.

Further, when the event detection unit 23 detects that some event has occurred in the target area 6 in s1, the situation determination unit 25, based on the detection result of the image processing unit 21 and the detection result of the voice processing unit 22, this time. The status of the detected event is determined (s4). The situation determination unit 25 is based on an object such as a person detected in the vicinity of a place where an event is occurring in the target area 6 identified from the detection results of the image processing unit 21 and the voice processing unit 22. It is determined that the three parties are not in the vicinity, and that many third parties are in the vicinity.

Further, when the event detection unit 23 detects that some event has occurred in the target area 6 in s1, the state determination unit 26 targets based on the detection result of the image processing unit 21 and the detection result of the voice processing unit 22. The state of the person is determined (s5). The state determination unit 26 is determined from the detection results of the image processing unit 21 and the voice processing unit 22, and the behavior, posture, and the like of an object such as a person detected around the place where the event is occurring in the target area 6. Based on the above, it is determined that the subject has a knife, the subject has fallen, the subject has fallen for a predetermined time or more, and the like.

The processes related to s2 to s5 may be executed in any order, or two or more processes may be executed in parallel.

Regarding the type of event determined by the event detection unit 23, the risk level estimation unit 27 determines the environment of the target area 6 determined by the environment determination unit 24 and the status of the event determined by the situation determination unit 25 for each type of danger element. In the state of the target person determined by the state determination unit 26, the estimation information 31 stored in the storage unit 12 is searched, and the degree of danger is estimated (acquired) (s6). The risk estimation unit 27 determines the necessity of notification regarding the event detected this time for each type of danger element (s7). The risk level estimation unit 27 compares the risk level estimated in s6 with the magnitude of the risk level determined to be notification required by the notification destination information 33 stored in the storage unit 12 for each type of danger element. If the degree of risk estimated in s6 is higher, it is determined that notification is required. The risk estimation unit 27 returns to s1 if there is no danger element determined to be notified in s7.

On the other hand, if the risk level estimation unit 27 determines that there is at least one danger element determined to require notification in s7, the notification destination information 33 determines the notification destination of the event detected this time for each type of the danger element determined to require notification. Is determined based on (s8). The risk estimation unit 27 is a notification sentence based on the environment of the target area 6 determined by the environment determination unit 24, the status of the event determined by the situation determination unit 25, the status of the target person determined by the status determination unit 26, and the like. Is created (s9). For example, "The subject is rampaging with a knife at XX point. There are many ordinary people around.", "Snatch theft occurred at XX point. The criminal rides a motorcycle. I am wearing a black jumper. "

The danger level detection device 1 notifies the notification text created in s9 to the notification destination determined in s8 (s10), and returns to s1. The notification in s10 is transmitted by the communication unit 15 to the police station, fire station, security room, etc., which are the notification destinations determined in s8, via the network 5.

Therefore, security guards and the like do not have to judge for themselves the type and magnitude of damage to the persons involved in the event that occurred and the third parties in the vicinity. Therefore, the work load of security guards and the like can be reduced.

In addition, the occurrence of an event can be notified to police stations, fire departments, security rooms, etc. according to the type and magnitude of damage to the parties involved in the event and third parties in the vicinity. It is possible to deal with the victims promptly and appropriately, and to prevent the damage caused by the event from spreading.

Here, a specific example will be described of the estimation of the degree of danger by the degree of danger estimation unit 27.

(Specific example A)
Event detected by the event detection unit: Snatching Status of target area 6 determined by environment determination unit 24: Dark Status of event determined by situation determination unit 25: Target determined by status determination unit 26 with no third party around Person's condition: Snatched and stood up immediately In this case, the risk estimation unit 27 determined that notification of financial damage, which is a dangerous factor, was necessary, and requested the police station to investigate the financial damage. Etc. will be notified.

(Specific Example B)
Event detected by the event detection unit: Twitching Status of target area 6 determined by environment determination unit 24: Dark Status of event determined by situation determination unit 25: Target determined by status determination unit 26 with no third party around Person's condition: Fall down and do not stand up for 3 minutes or more In this case, the risk estimation unit 27 determines that it is necessary to notify the police station of financial damage and physical damage, which are dangerous factors, and makes money to the police station. In addition to notifying the fire department of the investigation request, etc., which will cause physical damage, the fire department will be notified of the dispatch request of the ambulance, which will cause physical damage.

(Specific Example C)
Event detected by the event detection unit: Status of the target area 6 determined by the fighting environment determination unit 24: Dark Status of the event determined by the situation determination unit 25: No third party in the vicinity Target determined by the status determination unit 26 Person's condition: Possessing a knife In this case, the risk estimation unit 27 determines that notification of physical damage, which is a dangerous factor, is necessary, and notifies the police station of a dispatch request for physical damage, etc. At the same time, the fire department will be notified of requests for the dispatch of ambulances that will cause physical damage.

(Specific Example D)
Event detected by the event detection unit: Status of the target area 6 determined by the arbitration environment determination unit 24: Dark Status of the event determined by the situation determination unit 25: Target determined by the condition determination unit 26 with a third party in the vicinity. Person's condition: Not in possession of a knife In this case, the risk estimation unit 27 determines that notification of physical damage, which is a dangerous factor, is necessary, and notifies the security room or the like of an arbitration request or the like.

(Specific example E)
Event detected by the event detection unit: Prowling Status of the target area 6 determined by the environment determination unit 24: Dark, bicycle parking lot Status of the event determined by the condition determination unit 25: No third party in the vicinity Status determination unit 26 determines Status of the subject: Movement of the bicycle In this case, the risk estimation unit 27 determines that notification of damage to the article, which is a dangerous factor, is necessary, and notifies the security room or the like of the site confirmation.

Further, in this case, the notification device provided in the target area 6 may be notified instructing the output of the alert sound.

<4. Modification example>
The risk detection device 1 may be configured not to determine any one of the environment of the target area 6, the status of the event that has occurred this time, and the state of the subject related to the event that has occurred this time. That is, the danger level detection device 1 may be configured not to include any one of the environment determination unit 24, the situation determination unit 25, and the state determination unit 26. With this configuration, the risk detection device 1 has one of the environment of the target area 6 that does not determine the risk estimation, the status of the event that occurred this time, or the state of the subject related to the event that occurred this time. Do not use the items, but use the judgment results of the remaining two items to perform comprehensively.

Further, even if the configuration related to the event detection unit 23, the environment determination unit 24, the situation determination unit 25, the state determination unit 26, the risk level estimation unit 27, etc. is configured using artificial intelligence (AI). good.

Further, in the risk level detection device 1, for each event that occurs in the target area 6, the person in charge determines the environment of the target area, the status of the event, the state of the target person, the risk level of various danger factors, and the like. The result determined after the fact may be stored in the storage unit 12 as the event history information 32. In this case, the risk detection device 1 may be configured to use the event history information 32 as learning data and update the estimation information 31.

When the target area 6 is relatively wide, the target area 6 is divided into a plurality of areas, and for each divided area, the type of environment of the area, the type of event situation, and the type of the state of the target person. The information associated with the degree of danger may be stored in the storage unit 12 as the estimation information 31 for each combination pattern.

It should be noted that the present invention is not limited to the above-described embodiment as it is, and at the implementation stage, the components can be modified and embodied within a range that does not deviate from the gist thereof. In addition, various inventions can be formed by an appropriate combination of the plurality of components disclosed in the above-described embodiment. For example, some components may be removed from all the components shown in the embodiments. In addition, components from different embodiments may be combined as appropriate.

Further, the correspondence between the configuration according to the present invention and the configuration according to the above-described embodiment can be described as described in the following appendix.
<Additional Notes>
The event detection unit (23) that detects the event that occurred in the target area (6), and
The environment determination unit (24) for determining the environment of the target area (6) and
A situation determination unit (25) that determines the status of an event that has occurred in the target area (6) detected by the event detection unit (23), and
The environment of the target area (6) determined by the environment determination unit (24) for each type of danger element corresponding to the event generated in the target area (6) detected by the event detection unit (23). A risk detection device (1) including a risk estimation unit (27) that estimates the risk using the status of an event that occurred in the target area (6) determined by the situation determination unit (25). ..

1 ... Danger level detection device 2 ... Camera 3 ... Microphone 5 ... Network 6 ... Target area 11 ... Control unit 12 ... Storage unit 13 ... Image input unit 14 ... Voice input unit 15 ... Communication unit 16 ... Output unit 21 ... Image processing unit 22 ... Voice processing unit 23 ... Event detection unit 24 ... Environment determination unit 25 ... Situation determination unit 26 ... Status determination unit 27 ... Danger level estimation unit 31 ... Estimating information 32 ... Event history information 33 ... Notification destination information

Claims (11)

An event detection unit that detects events that have occurred in the target area,
An environment determination unit that determines the environment of the target area,
A status determination unit that determines the status of an event that has occurred in the target area detected by the event detection unit, and a status determination unit.
A storage unit that stores estimation information in which the risk level is associated with each combination pattern of the environment type of the target area and the event situation type for each type of danger element classified by the type of event.
The target that is the type of the dangerous element corresponding to the event that occurred in the target area detected by the event detection unit by searching the estimation information stored in the storage unit, and is determined by the environment determination unit. A risk estimation unit that acquires the risk level associated with the combination pattern of the environment of the area and the situation of the event that occurred in the target area determined by the situation determination unit, and the risk estimation unit.
A notification destination determination unit that determines a notification destination for notifying the occurrence of an event in the target area according to the risk level for each type of the danger element by the risk estimation unit.
A risk detection device including a notification unit for notifying the occurrence of an event in the target area to the notification destination determined by the notification destination determination unit. An event detection unit that detects events that have occurred in the target area,
An environment determination unit that determines the environment of the target area,
A state determination unit that determines the state of the target person related to an event that has occurred in the target area detected by the event detection unit.
A storage unit that stores estimation information in which the degree of danger is associated with each combination pattern of the type of environment of the target area and the type of state of the target person related to the event for each type of danger element classified by the type of event. When,
The target that is the type of the dangerous element corresponding to the event that occurred in the target area detected by the event detection unit by searching the estimation information stored in the storage unit, and is determined by the environment determination unit. A risk level estimation unit that acquires the risk level associated with the combination pattern of the area environment and the state of the target person determined by the state determination unit, and
A notification destination determination unit that determines a notification destination for notifying the occurrence of an event in the target area according to the risk level for each type of the danger element by the risk estimation unit.
A risk detection device including a notification unit for notifying the occurrence of an event in the target area to the notification destination determined by the notification destination determination unit. An event detection unit that detects events that have occurred in the target area,
A status determination unit that determines the status of an event that has occurred in the target area detected by the event detection unit, and a status determination unit.
A state determination unit that determines the state of the target person related to an event that has occurred in the target area detected by the event detection unit.
A storage unit that stores estimation information in which the risk level is associated with each combination pattern of the type of the situation of the event and the type of the state of the subject involved in the event for each type of danger element classified by the type of event.
The estimated information stored in the storage unit is searched, and the type of danger element corresponding to the event generated in the target area detected by the event detection unit, which is the target area determined by the situation determination unit. The risk estimation unit that acquires the risk level associated with the combination pattern of the event that occurred in the above and the state of the subject determined by the status determination unit, and the risk estimation unit.
A notification destination determination unit that determines a notification destination for notifying the occurrence of an event in the target area according to the risk level for each type of the danger element by the risk estimation unit.
A risk detection device including a notification unit for notifying the occurrence of an event in the target area to the notification destination determined by the notification destination determination unit. It is provided with a state determination unit that determines the state of the target person related to the event that occurred in the target area detected by the event detection unit.
The estimation information stored in the storage unit includes the type of environment of the target area, the type of situation of the event, and the type of the state of the subject related to the event for each type of danger element classified by the type of event. Information that associates the degree of risk for each combination pattern.
The risk estimation unit searches for the estimation information stored in the storage unit, and is a type of danger element corresponding to an event generated in the target area detected by the event detection unit, and is the type of the danger element, and the situation determination. Danger associated with the combination pattern of the event occurrence in the target area determined by the unit, the environment of the target area determined by the environment determination unit, and the state of the target person determined by the state determination unit. The risk detection device according to claim 1 , wherein the degree is acquired . The risk detection device according to any one of claims 1 to 4 , wherein the event detection unit processes an image captured by capturing the target area and detects an event that has occurred in the target area. The storage unit stores estimation information in which the risk level is associated with each combination pattern of the type of environment of the target area and the type of event situation for each type of danger element classified by the type of event that occurred in the target area. The computer of the memorized risk detection device
An event detection step for detecting an event that occurred in the target area,
The environment determination step for determining the environment of the target area and
A situation determination step for determining the status of an event that occurred in the target area detected in the event detection step, and a status determination step.
The estimation information stored in the storage unit is searched, and the type of the dangerous element corresponding to the event generated in the target area detected in the event detection step, and the target area determined in the environment determination step. The risk level estimation step for acquiring the risk level associated with the combination pattern of the environment of the above and the situation of the event that occurred in the target area determined in the situation determination step, and
A notification destination determination step for determining a notification destination for notifying the occurrence of an event in the target area according to the risk level for each type of the danger element by the risk degree estimation step.
A risk detection method for executing a notification step of notifying the occurrence of an event in the target area to the notification destination determined in the notification destination determination step . Estimating information in which the degree of danger is associated with each combination pattern of the type of environment of the target area and the type of state of the target person related to the event for each type of danger element classified by the type of event that occurred in the target area. The computer of the risk detection device that stored the information in the storage unit
An event detection step for detecting an event that occurred in the target area,
The environment determination step for determining the environment of the target area and
A state determination step for determining the state of the target person related to an event occurring in the target area detected in the event detection step, and a state determination step.
The estimation information stored in the storage unit is searched, and the type of the dangerous element corresponding to the event generated in the target area detected in the event detection step, and the target area determined in the environment determination step. The risk level estimation step for acquiring the risk level associated with the combination pattern of the environment of the subject and the state of the target person determined in the state determination step, and
A notification destination determination step for determining a notification destination for notifying the occurrence of an event in the target area according to the risk level for each type of the danger element by the risk degree estimation step.
A risk detection method for executing a notification step of notifying the occurrence of an event in the target area to the notification destination determined in the notification destination determination step . Stores estimation information that associates the risk level with each combination pattern of the type of event situation and the type of subject's state related to the event for each type of risk element classified by the type of event that occurred in the target area. The computer of the risk detection device stored in the department
An event detection step for detecting an event that occurred in the target area,
A situation determination step for determining the status of an event that occurred in the target area detected in the event detection step, and a status determination step.
A state determination step for determining the state of the target person related to an event occurring in the target area detected in the event detection step, and a state determination step.
The estimation information stored in the storage unit is searched, and the type of the dangerous element corresponding to the event generated in the target area detected in the event detection step, and the target area determined in the situation determination step. The risk estimation step for acquiring the risk associated with the combination pattern of the event occurrence in the above and the state of the subject determined in the status determination step, and the risk estimation step.
A notification destination determination step for determining a notification destination for notifying the occurrence of an event in the target area according to the risk level for each type of the danger element by the risk degree estimation step.
A risk detection method for executing a notification step of notifying the occurrence of an event in the target area to the notification destination determined in the notification destination determination step . The storage unit stores estimation information in which the risk level is associated with each combination pattern of the type of environment of the target area and the type of event situation for each type of danger element classified by the type of event that occurred in the target area. In the computer of the memorized risk detection device,
An event detection step for detecting an event that occurred in the target area,
The environment determination step for determining the environment of the target area and
A situation determination step for determining the status of an event that occurred in the target area detected in the event detection step, and a status determination step.
The estimation information stored in the storage unit is searched, and the type of the dangerous element corresponding to the event generated in the target area detected in the event detection step, and the target area determined in the environment determination step. The risk level estimation step for acquiring the risk level associated with the combination pattern of the environment of the above and the situation of the event that occurred in the target area determined in the situation determination step, and
A notification destination determination step for determining a notification destination for notifying the occurrence of an event in the target area according to the risk level for each type of the danger element by the risk degree estimation step.
A risk detection program that executes a notification step for notifying the occurrence of an event in the target area to the notification destination determined in the notification destination determination step . Estimating information in which the degree of danger is associated with each combination pattern of the type of environment of the target area and the type of state of the target person related to the event for each type of danger element classified by the type of event that occurred in the target area. In the computer of the risk detection device that stores the information in the storage unit,
An event detection step for detecting an event that occurred in the target area,
The environment determination step for determining the environment of the target area and
A state determination step for determining the state of the target person related to an event occurring in the target area detected in the event detection step, and a state determination step.
The estimation information stored in the storage unit is searched, and the type of the dangerous element corresponding to the event generated in the target area detected in the event detection step, and the target area determined in the environment determination step. The risk level estimation step for acquiring the risk level associated with the combination pattern of the environment of the subject and the state of the target person determined in the state determination step, and
A notification destination determination step for determining a notification destination for notifying the occurrence of an event in the target area according to the risk level for each type of the danger element by the risk degree estimation step.
A risk detection program that executes a notification step for notifying the occurrence of an event in the target area to the notification destination determined in the notification destination determination step . Stores estimation information that associates the risk level with each combination pattern of the type of event situation and the type of subject's state related to the event for each type of risk element classified by the type of event that occurred in the target area. In the computer of the risk detection device stored in the department,
An event detection step for detecting an event that occurred in the target area,
A situation determination step for determining the status of an event that occurred in the target area detected in the event detection step, and a status determination step.
A state determination step for determining the state of the target person related to an event occurring in the target area detected in the event detection step, and a state determination step.
The estimation information stored in the storage unit is searched, and the type of the dangerous element corresponding to the event generated in the target area detected in the event detection step, and the target area determined in the situation determination step. The risk estimation step for acquiring the risk associated with the combination pattern of the event occurrence in the above and the state of the subject determined in the status determination step, and the risk estimation step.
A notification destination determination step for determining a notification destination for notifying the occurrence of an event in the target area according to the risk level for each type of the danger element by the risk degree estimation step.
A risk detection program that executes a notification step for notifying the occurrence of an event in the target area to the notification destination determined in the notification destination determination step .

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