Wildlife monitoring system, wild animal monitoring method, and program

Abstract

To provide a wild animal monitoring system that detects a behavior pattern of a wild animal such as a bear with higher accuracy and warns local resident.SOLUTION: A wild animal monitoring system 1 according to the present embodiment comprises: photographing means that photographs an image in a default location; individual identification means for identifying an individual wild animal based on the image photographed by the photographing means; behavior registration means for registering information on a behavioral characteristic of an identified individual in a database in association with the individual identified by the individual identification means; and warning means that outputs a warning according to the behavioral characteristic of each individual registered in the database.SELECTED DRAWING: Figure 1

Description

[Technical field]

[0001] The present invention relates to a wild animal monitoring system, a wild animal monitoring method, and a program. [Background technology]

[0002] For example, Patent Document 1 discloses a surveillance camera having an imaging unit, a memory that stores a plurality of learning models related to a detection target, and a processing unit that constructs artificial intelligence based on a learning model selected from the plurality of learning models, and detects the detection target from an image captured by the imaging unit using the constructed artificial intelligence.

[0003] Furthermore, Patent Document 2 discloses an animal appearance notification system comprising a processing means for capturing moving objects in a specified area on a road and determining the presence or absence of a road-related animal based on its movement trajectory, and a display means for presenting a specified warning message to vehicles traveling on the road when the processing means determines that a road-related animal is present. [Prior art documents] [Patent documents]

[0004] [Patent Document 1] JP 2020-113964 A [Patent Document 2] JP 2002-260150 A Summary of the Invention [Problem to be solved by the invention]

[0005] An object of the present invention is to provide a wildlife monitoring system that can detect the behavioral patterns of wild animals such as bears with greater accuracy and warn local residents. [Means for solving the problem]

[0006] The wild animal monitoring system of the present invention comprises an imaging means for capturing images at a predetermined location, an individual identification means for identifying individual wild animals based on the images captured by the imaging means, a behavior registration means for registering information regarding the behavioral characteristics of the individual in a database in association with the individual identified by the individual identification means, and an alert means for outputting an alert in accordance with the behavioral characteristics of each individual registered in the database.

[0007] Preferably, the photographing means photographs moving images, the individual identification means identifies individual bears based on the moving images photographed by the photographing means, and further includes behavior pattern identification means for identifying behavior patterns of the bears based on the moving images photographed by the photographing means, the behavior registration means registers the behavior patterns of the individuals identified by the individual identification means in a database in association with the individuals, and the warning means transmits warning information to terminals of residents within a range corresponding to the behavior patterns of each individual registered in the database.

[0008] Preferably, the photographing means photographs moving images, the individual identification means identifies an individual bear based on the moving images photographed by the photographing means, and the means further includes a threatening sound output means for outputting a threatening sound to the individual bear when an individual bear is identified by the individual identification means.

[0009] Preferably, the behavior registration means registers in a database location information indicating the location where the individual was photographed in association with the individual identified by the individual identification means, and further has a behavior range identification means for identifying the behavior range of each individual based on the location information registered in the database, and the warning means outputs a warning to the area corresponding to the behavior range identified by the behavior range identification means.

[0010] Preferably, the behavior registration means registers location information indicating the location where the individual was photographed in a database in association with the individual identified by the individual identification means, and further has a behavior history determination means for determining whether or not the individual has a behavior history in a person's residential area based on the location information registered in the database, and the warning means outputs a warning in accordance with the location information of the individual determined by the behavior history determination means to have a behavior history.

[0011] Preferably, the individual identification means identifies whether the identified individual is an adult or a juvenile, and the behavior registration means associates the individual identified by the individual identification means with a database of location information indicating the location where the individual was photographed and whether the individual is an adult or juvenile, and further has a parent-child determination means for determining whether the individual is an adult that behaves together with a juvenile based on the information registered in the database, and the warning means outputs a warning depending on the result of the determination by the parent-child determination means.

[0012] The wild animal monitoring method of the present invention includes an imaging step of capturing an image at a predetermined location, an individual identification step of identifying an individual wild animal based on the image captured by the imaging means, a behavior registration step of registering information regarding the behavioral characteristics of the individual in a database in association with the individual identified by the individual identification means, and a warning step of outputting a warning in accordance with the behavioral characteristics of each individual registered in the database.

[0013] The program of the present invention causes a computer to execute a photographing step of photographing an image at a predetermined location, an individual identification step of identifying an individual wild animal based on the image photographed by the photographing means, a behavior registration step of registering information regarding the behavioral characteristics of the individual in a database in association with the individual identified by the individual identification means, and a warning step of outputting a warning in accordance with the behavioral characteristics of each individual registered in the database. Effect of the Invention

[0014] According to the present invention, the behavioral patterns of wild animals such as bears can be detected with higher accuracy and local residents can be warned. [Brief description of the drawings]

[0015] [Figure 1] 1 is a diagram illustrating the overall configuration of a wild animal monitoring system 1. FIG. [Diagram 2] 2 is a diagram illustrating the functional configuration of an imaging device 3 in the wild animal monitoring system 1. FIG. [Diagram 3] 2 is a diagram illustrating the functional configuration of a wild animal monitoring device 7 in the wild animal monitoring system 1. FIG. [Figure 4] 13A is a table illustrating an example of bear appearance information managed by the bear appearance management DB 600, and FIG. 13B is a table illustrating an example of local resident information managed by the resident information management DB 610. FIG. [Diagram 5] 1 is a diagram showing an example of the contents of a warning issued by the wild animal monitoring system 1. FIG. [Figure 6] 11 is a flowchart illustrating a wild animal monitoring process (S10) performed by the wild animal monitoring system 1. [Figure 7] FIG. 11 is a diagram illustrating the functional configuration of a wild animal monitoring device 7 in a wild animal monitoring system 1 according to a modified example. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

[0016] Hereinafter, an embodiment of the present invention will be described with reference to the drawings. FIG. 1 is a diagram illustrating the overall configuration of a wild animal monitoring system 1. As illustrated in Figure 1, the wildlife monitoring system 1 includes one or more photographing devices 3, an alarm device 5 connected to each photographing device 3, a wildlife monitoring device 7, and a user terminal 9, which are connected to each other via a network 11. The photographing device 3 is a surveillance camera that takes images at a predetermined location. Specifically, the photographing device 3 is a surveillance camera installed in a satoyama where wild animals appear, and takes moving images. The photographing device 3 is installed in a place where bears are expected to appear, such as a garbage dump where there is food for bears, a forest with nuts, or around the border between a residential area and a satoyama. The photographing device 3 is equipped with, for example, a GPS function, and the moving images are associated with location information. The photographing device 3 transmits the captured moving images to the wild animal monitoring device 7. As illustrated in FIG. 1, in this embodiment, the photographing device 3 takes images of bears that appear in the satoyama. When the photographing device 3 detects a bear, it notifies the alarm device 5 of an alarm for the bear. In this example, a specific example will be described in which the image is a moving image.

[0017] The alarm device 5 is installed, for example, in a structure in which the photographing device 3 is installed, and the alarm device 5 communicates with the photographing device 3 by wire or wirelessly. Specifically, the alarm device 5 is a speaker, and outputs a threatening sound in response to the detection result of a wild animal notified from the photographing device 3. In this example, the alarm device 5 is described as a speaker, but is not limited to this, and when the alarm device 5 receives information indicating that a bear has been detected from the photographing device 3, it may output a sound, frequency, or light to drive the bear away. The alarm device 5 may be installed in a structure other than the structure in which the photographing device 3 is installed. The wild animal monitoring device 7 is a computer terminal that receives the video images transmitted by the imaging device 3, identifies individual wild animals, and issues a warning according to the identified individual to the user terminal 9. In this example, a specific example will be described in which the wild animal is a bear. The user terminal 9 is a computer terminal operated by a user, and specifically, is a smartphone, a tablet terminal, or a personal computer. The user terminal 9 receives a warning from the wildlife monitoring device 7 that a wild animal has appeared.

[0018] FIG. 2 is a diagram illustrating an example of the functional configuration of the photographing device 3. As shown in FIG. 2, a video shooting program 30 is installed in the shooting device 3. Video capture program 30 includes a bear detection unit 300 and a video transmission unit 302. Note that part or all of this program may be realized by hardware such as an ASIC (Application Specific Integrated Circuit), or may be realized by partially borrowing functions of an OS (Operating System).

[0019] The bear detection unit 300 detects a bear that appears in the video data being shot. Specifically, the bear detection unit 302 detects whether an object similar to a video image of a bear that has already been registered is included in the video data. The bear detection unit 300 notifies the video transmission unit 302 that a bear has been detected. When a bear is detected by the bear detection unit 300, the video transmission unit 302 transmits video data in which the bear is captured to the wild animal monitoring device 7.

[0020] FIG. 3 is a diagram illustrating an example of the functional configuration of the wild animal monitoring device 7. 3, a wild animal monitoring program 70 is installed in the wild animal monitoring device 7, and a bear appearance management database 600 (bear appearance management DB 600) and a resident information management DB 610 (resident information management DB 610) are configured. These functional configurations may be configured in the imaging device 3 or on a cloud server. The wild animal monitoring program 70 has a video receiving unit 700, an individual identifying unit 702, a behavior pattern identifying unit 704, a behavior registration unit 706, a behavior range identifying unit 708, a behavior history determining unit 710, a parent-child determining unit 712, a danger level calculating unit 714, a warning unit 716, and an intimidating sound output unit 718. Note that part or all of this program may be realized by hardware such as an ASIC (Application Specific Integrated Circuit), or may be realized by borrowing some of the functions of an OS (Operating System).

[0021] The video receiving unit 700 receives videos of wild animals photographed by the photographing device 3. Specifically, it receives a video of a bear photographed by the photographing device 3, and notifies the individual identifying unit 702 and the behavior pattern identifying unit 704. The individual identification unit 702 identifies an individual wild animal based on the image captured by the image capture device 3. Specifically, the individual identification unit 702 determines whether or not the bear captured in the video is a previously registered bear based on the physical characteristics of the bear, such as its build, fur pattern, and face. If the bear is not a previously registered bear, the individual identification unit 702 registers the bear as a new bear in the bear appearance management DB 600. Furthermore, the individual identification unit 702 identifies whether the identified individual bear is an adult or a juvenile. For example, the individual identification unit 702 identifies whether the bear is an adult or a juvenile based on the size of the bear captured in the video or footprints remaining in the vicinity.

[0022] The behavior pattern identification unit 704 identifies the behavior pattern of the bear based on the moving image captured by the image capture device 3. Specifically, the behavior pattern identification unit 704 distinguishes and identifies the behavior of the bear based on the moving image. Specifically, the behavior pattern identification unit 704 identifies the behavior of the bear, such as whether or not the behavior of the bear is searching for food, and if so, what kind of food the bear is searching for, whether the bear is behaving threateningly, whether it is acting violently, etc.

[0023] The behavior registration unit 706 associates the individual identified by the individual identification unit 702 with information on the behavioral characteristics of this individual in the bear appearance management DB 600. Specifically, the behavior registration unit 706 associates the individual identified by the individual identification unit 702 with the behavior pattern of this individual in the bear appearance management DB 600. Here, the behavior pattern of a bear specifically refers to the behavior of a bear, such as "invading fields to search for food," "appearing in mountain forests where bears' favorite nuts grow," and "rummaging through garbage dumps." Furthermore, the behavior registration unit 706 associates the individual identified by the individual identification unit 702 with location information indicating the location where the individual was photographed, and registers this location information in the bear appearance management DB 600. The location information refers to the latitude and longitude coordinates of the location where the photography device 3 is installed, or the latitude and longitude coordinates of the bear's appearance location. In addition, the behavior registration unit 706 registers, in association with the individual identified by the individual identification unit 702, location information indicating the location where the individual was photographed and whether the identified bear is an adult or a cub in the bear appearance management DB 600.

[0024] The movement range identifying unit 708 identifies the movement range of each bear based on the position information registered in the bear appearance management DB 600 by the behavior registration unit 706. Specifically, the movement range identifying unit 708 checks whether the same bear has been photographed by multiple image capturing devices 3 and whether multiple pieces of position information have been registered, and if multiple pieces of position information have been registered, identifies the bear's movement range based on the multiple registered pieces of position information. The behavior history determination unit 710 determines whether or not the bear has a behavior history in a human residential area based on the location information registered in the bear appearance management DB 600 by the behavior registration unit 706. Specifically, the behavior history determination unit 710 determines whether or not location information (resident's residence) registered in the resident information management DB 610 exists within a predetermined range from the location information registered in the bear appearance management DB 600. If the location information of the resident's residential area exists within a predetermined range from the bear's location information, the behavior history determination unit 710 determines that the bear has a behavior history in the human residential area. Since a bear that has once eaten human food in a human residential area may appear in the same place again and attack a human, the determination of the presence or absence of a behavior history in a human residential area by the behavior history determination unit 710 is useful for grasping the degree of danger with a higher accuracy.

[0025] The parent-child determination unit 712 determines whether or not the bear is an adult who acts together with the cub, based on the information registered in the bear appearance management DB 600. Specifically, the parent-child determination unit 712 determines that the adult and cub bears are acting together when two bears are detected in a moving image captured by the image capture device 3, or when the location information of the appearance of the cub and adult bear registered in the bear appearance management DB 600 is within a predetermined range. The danger level calculation unit 714 calculates the danger level of the bear based on the behavior pattern identified by the behavior pattern identification unit 704 and whether or not the bear is acting together with a baby bear as determined by the parent-child determination unit 712. Specifically, if the behavior pattern identification unit 704 identifies the bear's behavior as "threatening" or "violent," or if the parent-child determination unit 712 determines that the bear is acting together with a baby bear, it is estimated that the danger level is high, and the danger level calculation unit 714 calculates a higher danger level. The danger level may be expressed by a numerical value, or the magnitude of the danger level may be expressed as "high," "medium," or "low."

[0026] The warning unit 716 outputs a warning according to the behavioral characteristics of each individual registered in the bear appearance management DB 600 by the behavior registration unit 706. Furthermore, the warning unit 716 transmits warning information to the terminals of residents in a range according to the behavioral pattern of each individual registered in the bear appearance management DB 600. Specifically, when the behavior pattern is food search without a specific feeding spot as a destination, the warning unit 716 transmits warning information to the terminals of residents in a wider range because there is a risk that the bear will search for more food from the shooting location of the video image and invade a residential area of ​​people. Furthermore, when the behavior pattern is food search with a specific feeding spot as a destination, the warning unit 716 transmits warning information to the terminals of residents around the specific feeding spot. Furthermore, when the behavior pattern is intimidation, it is determined that there is a low risk that the bear will move far away from the shooting location and invade a residential area of ​​people, and the warning unit 716 transmits warning information to the user terminals 9 of residents around the position information of the bear.

[0027] Furthermore, the warning unit 716 outputs a warning to the area corresponding to the movement range identified by the movement range identifying unit 708 . Furthermore, the warning unit 716 outputs a warning according to the location information of an animal that has been determined by the behavior history determination unit 710 to have a behavior history in a residential area of ​​residents. Then, the warning unit 716 outputs a warning according to the determination result by the parent-child determination unit 712. Specifically, the warning unit 716 adds a message to the effect that the animal is acting together with a young animal to the contents of the warning, and urges local residents to evacuate. When an individual bear is identified by the individual identification unit 702, the intimidating sound output unit 718 outputs a threatening sound to the individual bear. Specifically, the intimidating sound output unit 718 notifies the alarm device 5 to output a threatening sound to the individual bear. Furthermore, without being limited to this, the intimidating sound output unit 718 may notify the photographing device 3 that an individual bear has been identified, and the photographing device 3 may notify the alarm device 5 to output a threatening sound.

[0028] FIG. 4(a) is a table illustrating bear appearance information managed by the bear appearance management DB 600, and (b) is a table illustrating local resident information managed by the resident information management DB 610. 4(a), bear appearance information is managed in the bear appearance management DB 600. The bear appearance information includes, and is associated with, an individual ID for identifying an individual bear, an image capture device 3 ID which is identification information for the image capture device 3 which captured the bear, location information associated with the captured video, the behavioral pattern of the captured bear, whether the captured bear is an adult or a cub, the behavioral range of the captured bear, whether the captured bear is in the same position as a cub, and whether the captured bear has a history of invading human residential areas. 4(b), the resident information management DB 610 manages local resident information. The local resident information includes a resident ID for identifying a resident, a residential area, location information of the residential area, and contact information of the resident, which are all associated with each other.

[0029] FIG. 5 is a diagram showing an example of the contents of a warning issued by the wild animal monitoring system 1. In FIG. 5, the warning unit 716 of the wild animal monitoring device 7 creates warning contents according to the behavioral characteristics of individual bears registered in the bear appearance management DB 600 by the behavior registration unit 706, and outputs a warning based on contact information managed in the resident information management DB 610. Specifically, the warning unit 716 transmits to the user terminal 9 a map showing the bear appearance date and time, individual bear information (adult or cub, how many bears appeared, whether cubs were accompanying them), the bear appearance location, the bear's behavior, the bear's danger level, and the bear's position information. In addition, when the danger level calculated by the danger level calculation unit 714 is high and the bear's behavior is likely to harm people, the warning unit 716 includes in the warning contents that the bear's behavior is dangerous and that the bear should not approach the appearance location.

[0030] FIG. 6 is a flowchart illustrating the wild animal monitoring process (S10) performed by the wild animal monitoring system 1. 6, in step 100 (S100), the bear detection unit 300 of the photographing device 3 detects a bear that appears in the captured video data. The video transmission unit 302 of the photographing device 3 transmits the video data in which the detected bear appears to the wildlife monitoring device 7. In step 105 (S105), the video receiving unit 700 of the wild animal monitoring device 7 receives the video data transmitted by the video transmitting unit 302, and the individual identification unit 702 of the wild animal monitoring device 7 determines, based on the physical characteristics of the bear appearing in the video data, whether the bear is already managed in the bear appearance management DB 600 or whether it is a bear that needs to be newly registered.

[0031] In step 110 (S110), when an individual bear is identified by the individual identification unit 702, the threatening sound output unit 718 of the wild animal monitoring device 7 notifies the alarm device 5 to output a threatening sound to the individual bear. In response to the notification to output a threatening sound by the threatening sound output unit 718, the alarm device 5 outputs a threatening sound to the bear. In step 115 (S115), the individual identification unit 702 determines whether the detected bear is an adult or a cub based on the size of the bear captured in the video or footprints remaining in the vicinity. In step 120 (S120), the behavior pattern identification unit 704 of the wild animal monitoring device 7 identifies the behavior of the bear in the video image data. Specifically, the behavior pattern identification unit 704 classifies the type of behavior of the bear.

[0032] In step 125 (S125), the movement range identifying unit 708 of the wild animal monitoring device 7 identifies the movement range of the detected bear. Specifically, when the bear identified by the individual identifying unit 702 has already been registered, the movement range of the bear is identified based on the location information of the appearance of the same bear registered in the bear appearance management DB 600 and the location information of the current appearance of the bear. The movement range identifying unit 708 may also estimate the movement range of the bear based on the behavior pattern of the bear identified by the behavior pattern identifying unit 704. For example, when the bear has a behavior pattern with a specific destination, such as "rummaging through the garbage dump" or "invading the fields in search of food," the movement range of the bear may be identified as the area around the garbage dump or the area around the fields. In step 130 (S130), the behavior history determination unit 710 of the wild animal monitoring device 7 determines, based on the location information registered in the bear appearance management DB600, whether the detected bear has a behavior history in a human inhabited area.

[0033] In step 135 (S135), the parent-child determination unit 712 of the wild animal monitoring device 7 determines whether the bear identified by the individual identification unit 702 is in the same place as a cub. Specifically, the parent-child determination unit 712 determines whether a cub is captured in the video data in which the bear is detected. The parent-child determination unit 712 also determines whether the bear has been in the same place as a cub, based on information already registered in the bear appearance management DB 600. In step 140 (S140), the behavior registration unit 706 of the wild animal monitoring device 7 registers the individual bear identified by the individual identification unit 702 in the bear appearance management DB 600 in association with location information of the video data in which the identified bear appears, the behavior pattern of the bear identified by the behavior pattern identification unit 704, the behavior range of the bear identified by the behavior range identification unit 708, whether the bear is an adult or a cub determined by the individual identification unit 702, whether the bear acts together with the cub identified by the parent-child determination unit 712, and whether the bear has a behavior history in a human residential area determined by the behavior history determination unit 710. If the individual has already been registered, the appearance information of the identified bear is additionally registered in the bear appearance management DB 600 in association with the registered individual ID.

[0034] In step 145 (S145), the danger level calculation unit 714 calculates the danger level of the bear identified by the individual identification unit 702, based on the bear appearance management information. Specifically, if the behavior pattern identification unit 704 identifies the behavior as "threatening" or "violent," if the parent-child determination unit 712 determines that the bear is acting together with a baby bear, or if there is a history of intrusion into a human-inhabited area, the danger level is estimated to be high, and the danger level calculation unit 714 calculates a higher danger level. In step 150 (S150), the warning unit 716 transmits warning information to the terminals of residents in a range corresponding to the bear's behavior pattern identified by the behavior pattern identification unit 704. Specifically, the warning unit 716 transmits the danger level calculated by the danger level calculation unit 714, the date and time when the bear appeared, and location information to local residents in the area corresponding to the bear's behavior range stored in the resident information management DB 610, based on the residents' contact information.

[0035] As described above, when the wildlife monitoring system 1 detects a bear using multiple camera devices 3 installed in a rural area, it identifies the individual bear using the wildlife monitoring device 7 and manages the behavioral characteristics of each individual bear, making it possible to issue a warning to each individual bear. Furthermore, the wildlife monitoring system 1 can expand the area in which the warning is issued or change the content of the warning based on the danger level of the bear, making it possible to issue a more reliable warning to local residents.

[0036] Without being limited to the above embodiment, the wild animal monitoring device 7 may use machine learning to identify individual bears and their behavior patterns and calculate the degree of danger. Specifically, the wild animal monitoring device 7 has a wild animal monitoring program 80 installed therein, and has an individual identification unit 802, a behavior pattern identification unit 804, and a parent-child determination unit 812 instead of the individual identification unit 702, the behavior pattern identification unit 704, and the parent-child determination unit 712, and has an AI processing unit 814 instead of the movement range identification unit 708 and the danger calculation unit 714. The individual identification unit 802, behavior pattern identification unit 804, and parent-child determination unit 812 use deep learning to identify individual bears and their behavior patterns, and perform parent-child determination.

[0037] The AI ​​processing unit 814 uses artificial intelligence to calculate the danger level and range of movement of the bear, based on the information identified by the individual identification unit 802, the behavior pattern identification unit 804, and the parent-child determination unit 812. Specifically, the AI ​​processing unit 814 estimates the danger level and range of movement of the bear, based on input data that combines data related to bears. The data related to bears is "characteristics of bears with each behavior pattern," "characteristics of bear behavior by time," "characteristics of bear behavior by season," and "characteristics of adult bears with young." By changing the combination of input data, it is possible to calculate the danger level with higher accuracy and warn local residents. Here, "characteristics of bears exhibiting each behavioral pattern" refers to video data such as "searching for food," "threatening behavior," "behavior when excited," and "behavior protecting young." "Characteristics of bear behavior by time of day" refers to video data such as "searching for food at night" and "threatening behavior during the day." "Characteristics of bear behavior by season" refers to video data such as "bear behavior during the breeding season in spring," "bear behavior when food is scarce in summer," "behavior gathering food for hibernation in autumn," and "behavior during hibernation and birth in winter." By inputting input data in advance, the wild animal monitoring device 7 can provide more accurate warnings. [Explanation of symbols]

[0038] 1. Wildlife monitoring system 3. Imaging Equipment 5. Alarm device 7 Wildlife monitoring equipment 9 User terminal 11 Network 30 Video Recording Program 70 Wildlife Monitoring Program 300 Bear detection unit 302 Video transmission unit 600 Bear Appearance Management Database 610 Resident Information Management Database 700 Video receiving unit 702, 802 Individual Identification Section 704, 804 Behavioral pattern identification section 706 Behavior Registration Department 708 Action Range Identification Department 710 Action History Judgment Unit 712, 812 Parentage determination section 714 Risk Calculation Unit 716 Warning section 718 Intimidation sound output unit 814 AI Processing Unit

Claims

1. A capture means for capturing an image at a predetermined location; an individual identification means for identifying an individual wild animal based on the image captured by the imaging means; a behavior registration means for registering information on the behavioral characteristics of the individual in a database in association with the individual identified by the individual identification means; a warning means for outputting a warning in accordance with the behavioral characteristics of each individual registered in the database; A wildlife monitoring system having

2. The imaging means captures a moving image, The individual identification means identifies an individual bear based on the moving image captured by the imaging means, A behavior pattern identifying means for identifying a behavior pattern of a bear based on the moving image captured by the imaging means. and The behavior registration means registers the behavior pattern of the individual in a database in association with the individual identified by the individual identification means; The warning means transmits warning information to terminals of residents within a range corresponding to the behavior pattern of each individual registered in the database. The wildlife monitoring system of claim 1 .

3. The imaging means captures a moving image, The individual identification means identifies an individual bear based on the moving image captured by the imaging means, a threatening sound output means for outputting a threatening sound to an individual bear when the individual bear is identified by the individual identification means; 10. The wildlife monitoring system of claim 1 further comprising:

4. The behavior registration means registers, in a database, location information indicating a location where the individual was photographed, in association with the individual identified by the individual identification means; A movement range determination means for determining the movement range of each individual based on the position information registered in the database. and The warning means outputs a warning to a region corresponding to the movement range identified by the movement range identification means. The wildlife monitoring system of claim 1 .

5. The behavior registration means registers, in a database, location information indicating a location where the individual was photographed, in association with the individual identified by the individual identification means; A behavior history determination means for determining whether or not a person has a behavior history in a residential area based on location information registered in the database. and The warning means outputs a warning according to location information of an individual determined to have a behavior history by the behavior history determination means. The wildlife monitoring system of claim 1 .

6. The individual identification means identifies whether the identified individual is an adult or a juvenile, The behavior registration means registers, in a database, location information indicating a place where the individual was photographed and whether the individual is an adult or a juvenile, in association with the individual identified by the individual identification means; A parent-child determination means for determining whether or not the animal is an adult animal that behaves together with the young animal based on information registered in the database. and The warning means outputs a warning according to a result of the determination by the parent-child determination means. The wildlife monitoring system of claim 1 .

7. A photographing step in which a photographing device photographs an image at a predetermined location; an individual identification step in which a computer identifies an individual wild animal based on the image captured in the photographing step; a behavior registration step in which a computer registers information on the behavioral characteristics of the individual in a database in association with the individual identified in the individual identification step; a warning step in which the computer outputs a warning according to the behavioral characteristics of each individual registered in the database; A wildlife monitoring method comprising:

8. A capture step of capturing an image at a predetermined location; an individual identification step of identifying an individual wild animal based on the image captured in the photographing step; a behavior registration step of registering information on behavioral characteristics of the individual in a database in association with the individual identified by the individual identification step; a warning step of outputting a warning according to the behavioral characteristics of each individual registered in the database; A program that causes a computer to execute the following.

Images