JP2015022333A - Intrusion suppression device, intrusion suppression method, program, and intrusion suppression system - Google Patents

Abstract

PROBLEM TO BE SOLVED: To appropriately perform suppression of intruders on a road.SOLUTION: An image acquisition unit 21 acquires an image of a road photographed by a photographing device. A subject detection unit 22 detects a subject appearing in the image of the road. When intrusion of the subject into a predetermined area on a road is matched with any of a plurality of prescribed intrusion patterns, an intrusion detection unit 23 detects intrusion of the subject into the predetermined area. When the intrusion detection unit 23 detects intrusion of the subject into the predetermined area, a suppression instruction unit 24 performs predetermined instruction to a warning device installed around a predetermined area for suppressing intrusion of subjects into a predetermined area.

Description

  The present invention relates to an intrusion prevention device, an intrusion prevention method, a program, and an intrusion prevention system.

  There are technologies that detect and alert on road anomalies. For example, an entry detection alarm system that not only detects that a vehicle has entered a forbidden area such as a construction area, but also functions as an alarm device that informs the worker of the danger and ensures the safety of the worker. Has been proposed (see, for example, Patent Document 1).

JP 2009-288857 A

  By the way, for example, in the vicinity of an entrance / exit of an expressway (toll road), a person may enter the expressway and an accident may occur. The above reference does not disclose a method for preventing an intruder from entering the highway, and it is desired to appropriately prevent the intruder.

  Then, an object of this invention is to provide the technique which can suppress more appropriately with respect to the intruder of a road.

  For example, an intrusion prevention apparatus according to the present invention includes an image acquisition unit that acquires an image of a road photographed by an imaging device, a subject detection unit that detects a subject appearing in the road image, and a predetermined area of the road of the subject. When the intrusion corresponds to one of a plurality of predetermined intrusion patterns, an intrusion detection unit that detects intrusion of the subject into the predetermined area, and the intrusion detection unit enters the predetermined area of the subject. And a deterrence instructing unit for giving a predetermined instruction to a warning device installed in the vicinity of the predetermined area, which performs a warning for suppressing the intrusion of the subject into the predetermined area when an intrusion is detected. It is characterized by.

Appropriate deterrence against road intruders.
Problems, configurations, and effects other than those described above will become apparent from the following description of embodiments.

It is a figure explaining the intrusion suppression system which concerns on 1st Embodiment. It is the figure which showed the example of a functional block of the image analysis apparatus of FIG. It is the figure which showed the data structural example of the imaging | photography information storage part. It is the figure which showed the data structural example of the detection rule memory | storage part. It is the figure which showed the data structural example of the alerting | reporting destination information storage part. It is the figure which showed the example of a functional block of a warning device. FIG. 3 is a diagram illustrating a hardware configuration example of the image analysis apparatus in FIG. 2. It is a figure explaining a detection rule. It is a figure explaining a subject's penetration pattern. It is the flowchart which showed the example of the intrusion detection operation | movement of an image analyzer. It is the figure which showed the example of a data structure of the detection rule memory | storage part which concerns on 2nd Embodiment. It is the flowchart which showed the example of the intrusion detection operation | movement of the image analyzer which concerns on 2nd Embodiment. It is the figure which showed the example of a data structure of the detection rule memory | storage part which concerns on 3rd Embodiment. It is the figure which showed the example of installation of the warning device which concerns on 4th Embodiment. It is the figure which showed the other example of the penetration | invasion pattern.

  [First Embodiment]

  Hereinafter, a first embodiment of the present invention will be described with reference to the drawings.

  FIG. 1 is a diagram for explaining an intrusion prevention system according to the first embodiment. As shown in FIG. 1, the intrusion prevention system includes an imaging device 1, an intrusion prevention device 2, a network 3, a monitoring facility 4, and a warning device 5. FIG. 1 shows a road 11, a shoulder 12, a car 13, and an intruder 14 in addition to the intrusion prevention system.

  The road 11 is a road in which passage of people or bicycles (invasion) is prohibited. For example, the road 11 is a highway or a road dedicated to automobiles through which only cars and motorcycles can pass.

  The road 11 has a shoulder 12. As described above, the road 11 is a road where passage of people and bicycles is prohibited, and the road shoulder 12 is also prohibited from passage of people and bicycles.

  An automobile 13 indicates an automobile that is appropriately traveling on the road 11.

  The intruder 14 indicates an intruder who has entered the shoulder 12 that is prohibited from passing. The intruder 14 is, for example, a person or a bicycle.

  The imaging apparatus 1 is an apparatus that images a road shoulder 12, for example. The imaging device 1 is installed, for example, on an upper part of a pillar provided in the vicinity of an entrance of an expressway or an automobile exclusive road, and images an intruder 14 entering the road shoulder 12 from the entrance of the expressway or an automobile exclusive road from above.

  The photographing apparatus 1 is, for example, an infrared thermal camera. An infrared thermal camera is a heat ray imaging device that detects infrared rays (black body radiation) emitted from an object (subject) and outputs image information. The infrared thermal camera includes, for example, an infrared detection element and detects thermal infrared rays (electromagnetic waves) having a wavelength of about 8 μm to 15 μm. When an infrared thermal camera is used as the photographing device 1, an image obtained from the photographing device 1 is less susceptible to external visible light illuminance, temperature, humidity, many disturbances caused by oblique light and backlighting, and shielding such as smoke. Become. Infrared thermal cameras include a thermal sensor that outputs an image based on the amount of heat generated by a detection element, a quantum sensor that outputs an image based on the amount of power generated by the detection element, and the like.

  The intrusion prevention device 2 includes an image analysis device 2a and a communication device 2b. The image analysis device 2 a is connected to the image capturing device 1, acquires an image (video) captured by the image capturing device 1, analyzes the acquired image, and detects an intruder 14 who enters the road shoulder 12.

  When the image analysis device 2a detects the intruder 14 entering the road shoulder 12, the image analysis device 2a instructs the warning device 5 such as an electric bulletin board to suppress it. For example, the image analysis device 2 a instructs the warning device 5 to perform a warning to warn the intruder 14 who has entered the road shoulder 12.

  The inhibition instruction from the image analysis device 2a to the warning device 5 is performed by, for example, wireless communication or wired communication. For wireless communication or wired communication, for example, a public network such as WiMAX (registered trademark: Worldwide Interoperability for Microwave Access) or the Internet may be used, or a dedicated communication path may be used.

  When detecting that the intruder 14 has entered the road shoulder 12, the image analysis device 2a notifies the monitoring facility 4 that the intruder 14 has entered the road shoulder 12 through the communication device 2b.

  The communication device 2 b communicates with the monitoring facility 4 via the network 3. For example, the communication device 2b connects to the network 3 by wireless communication such as WiMAX or a mobile phone system, and communicates with the monitoring facility 4. Note that the communication device 2b may communicate with the monitoring facility 4 by connecting to the network 3 by wire such as an optical fiber.

  The network 3 is a network including, for example, a wireless network and the Internet.

  The monitoring facility 4 is, for example, a facility owned by a trader who manages the road 11. The monitoring facility 4 includes a wireless terminal 4a and a monitoring terminal 4b. In the monitoring facility 4 of FIG. 1, an administrator 4c who manages the road 11 using the wireless terminal 4a or the monitoring terminal 4b is shown.

  The wireless terminal 4a is, for example, a smartphone, a tablet terminal, a PDA (Personal Digital Assistant), or a notebook computer. The wireless terminal 4a is connected to the network 3 by wireless communication such as WiMAX or a mobile phone system, and communicates with the communication device 2b of the intrusion prevention device 2.

  The monitoring terminal 4b is, for example, a desktop personal computer. The monitoring terminal 4b is connected to the network 3 by wire such as an optical fiber, for example, and communicates with the communication device 2b.

  The warning device 5 is a device that warns a person or a bicycle who has entered the road shoulder 12 so as not to enter the road shoulder 12 any more. For example, the warning device 5 is installed in the vicinity of the shoulder 12 near the entrance of an expressway or an automobile road together with the photographing device 1 and is about to enter the expressway or the automobile road from the entrance of the expressway or the automobile road. A warning is given to a person or bicycle (intruder 14) so as not to enter further.

  The warning device 5 is, for example, an electric bulletin board, a Patlamp (registered trademark), or a speaker. For example, when the warning device 5 is an electronic bulletin board, a warning is given to the intruder 14 who enters the road shoulder 12 by characters to be displayed. Further, when the warning device 5 is a patrol lamp, a warning is given to the intruder 14 who enters the road shoulder 12 by the emitted light. When the warning device 5 is a speaker, a warning is given to the intruder 14 who enters the road shoulder 12 by sound such as voice.

  A schematic operation of the intrusion prevention system of FIG. 1 will be described. The image analysis device 2 a of the intrusion prevention device 2 acquires an image of the road shoulder 12 from the imaging device 1. When the image analysis device 2a detects the intruder 14 entering the road shoulder 12 based on the acquired image, the image analysis device 2a instructs the warning device 5 to suppress.

  In response to the suppression instruction from the image analysis device 2a, the warning device 5 warns the intruder 14 not to enter the road shoulder 12, for example.

  When the image analysis device 2a detects the intruder 14 entering the road shoulder 12, the image analysis device 2a notifies the wireless terminal 4a or the monitoring terminal 4b of the intruder 14 entering the road shoulder 12 via the communication device 2b. Outputs instructions for Thereby, the administrator 4c who uses the radio | wireless terminal 4a or the monitoring terminal 4b can know that there was intrusion to the road shoulder 12. FIG. Note that the image analysis device 2a may transmit an image of a situation where the intruder 14 is invading the road shoulder 12 to the wireless terminal 4a or the monitoring terminal 4b.

  As described above, the intrusion prevention device 2 detects the intruder 14 entering the road shoulder 12 based on the image of the road shoulder 12 taken by the imaging device 1. Then, when the intrusion prevention device 2 detects the intruder 14 entering the road shoulder 12, the intrusion prevention device 2 instructs the warning device 5 to warn the intruder 14. Thereby, the intrusion prevention system can appropriately prevent the intruder 14 from entering the road shoulder 12.

  Further, when detecting that the intruder 14 has entered the road shoulder 12, the intrusion prevention device 2 notifies the wireless terminal 4 a or the monitoring terminal 4 b that the intruder 14 has entered the road shoulder 12. Thereby, the administrator 4c of the road 11 can know that the intruder 14 has entered the road shoulder 12.

  In FIG. 1, the photographing device 1 and the intrusion prevention device 2 have different configurations, but may be integrated. For example, the intrusion prevention device 2 may have the imaging device 1, and the imaging device 1 may have the intrusion prevention device 2.

  In the above description, the photographing device 1 and the warning device 5 are installed near the entrance / exit of an expressway or an automobile-only road as an example, but are not limited thereto. For example, the photographing device 1 and the warning device 5 can be installed in a place where the intruder 14 is likely to enter the shoulder 12. Specifically, when the road shoulder 12 is adjacent to a bank or a short soundproof wall, the intruder 14 can enter the road shoulder 12 from the bank or the short soundproof wall. In this case, the photographing device 1 and the warning device 5 are installed in the vicinity of the road shoulder 12 adjacent to the bank or the short soundproof wall through which the intruder 14 can enter.

  In the above description, the photographing apparatus 1 photographs the road shoulder 12. However, the photographing apparatus 1 may photograph the road 11 including the road shoulder 12. In this case, the manager 4c can also know the traffic conditions of the road 11 and the like. Below, the imaging device 1 demonstrates as what image | photographs the road 11 containing the road shoulder 12. FIG.

  FIG. 2 is a functional block diagram of the image analysis apparatus in FIG. As shown in FIG. 2, the image analysis device 2a includes an image acquisition unit 21, a subject detection unit 22, an intrusion detection unit 23, a deterrence instruction unit 24, a notification unit 25, and a video reproduction unit 26. doing. In addition, the image analysis device 2 a includes a shooting information storage unit 31, a detection rule storage unit 32, and a notification destination information storage unit 33.

  The image acquisition unit 21 receives a video signal of the road 11 captured by the imaging device 1 from the imaging device 1. The image acquisition unit 21 stores the received video signal in the shooting information storage unit 31. For example, the image acquisition unit 21 divides the video signal received from the imaging device 1 at a predetermined time, and stores the video signal in the imaging information storage unit 31 as file information.

  The subject detection unit 22 detects a subject appearing on the road shoulder 12 from the video signal received by the image acquisition unit 21. Here, the photographing apparatus 1 is an infrared thermal camera, for example, and the subject detection unit 22 detects a person or a bicycle appearing on the road shoulder 12 based on an image based on thermal infrared rays emitted from the subject. For example, the subject detection unit 22 extracts a feature point of the subject from the image based on the thermal infrared, and compares the feature point with predetermined pattern information for specifying the subject type, for example, the subject type (for example, a walking person). Or someone riding a bicycle).

  The intrusion detection unit 23 detects the intrusion of the subject detected by the subject detection unit 22 into the road shoulder 12. The intrusion detection unit 23 detects the intrusion of the subject into the road shoulder 12 when the intrusion of the subject into the road shoulder 12 corresponds to any of a plurality of predetermined invasion patterns. The intrusion pattern will be described later.

  When the intrusion detection unit 23 detects that the subject has entered the road shoulder 12, the inhibition instruction unit 24 gives a predetermined instruction to the warning device 5 in order to warn the subject (intruder 14). For example, when the warning device 5 is an electric bulletin board, the inhibition instruction unit 24 instructs the warning device 5 to warn the intruder 14 with characters.

  When the intrusion detection unit 23 detects that the subject has entered the road shoulder 12, the notification unit 25 notifies the administrator 4c that the subject (intruder 14) has entered the road shoulder 12, so that the wireless terminal 4a or Broadcast information is transmitted to the monitoring terminal 4b. The alerting | reporting part 25 may transmit the image | video which the imaging device 1 image | photographed to the radio | wireless terminal 4a or the monitoring terminal 4b with alerting | reporting information.

  When there is a video playback request for the designated file from the wireless terminal 4a or the monitoring terminal 4b, the video playback unit 26 performs streaming transmission of the file video stored in the photographing information storage unit 31 to the wireless terminal 4a or the monitoring terminal 4b. .

  A data configuration example of the imaging information storage unit 31, the detection rule storage unit 32, and the notification destination information storage unit 33 will be described with reference to the drawings.

  FIG. 3 is a diagram illustrating a data configuration example of the photographing information storage unit. As shown in FIG. 3, the shooting information storage unit 31 includes a shooting video ID (Identification) field 31a, a recording start date / time field 31b, a recording end date / time field 31c, and a video data field 31d.

  The captured video ID field 31a stores an identifier (captured video ID) for identifying video data filed by the image acquisition unit 21.

  The recording start date / time field 31b stores the date / time when recording of the video data filed by the image acquisition unit 21 is started.

  The recording end date and time field 31c stores the date and time when recording of the video data filed by the image acquisition unit 21 is ended.

  The video data filed by the image acquisition unit 21 is stored in the video data field 31d.

  As described above, the video of the road 11 photographed by the photographing device 1 is filed by the image acquisition unit 21 and stored in the photographing information storage unit 31. Thereby, the administrator 4c can make a video reproduction request for the road 11 at a predetermined date and time to the image analysis device 2a using, for example, the wireless terminal 4a or the monitoring terminal 4b. Specifically, when receiving a video playback request from the administrator 4c, the video playback unit 26 of the image analysis device 2a refers to the shooting information storage unit 31 and transmits the video of the road 11 to the wireless terminal 4a or the monitoring terminal 4b. Streaming transmission is possible.

  FIG. 4 is a diagram illustrating a data configuration example of the detection rule storage unit. As shown in FIG. 4, the detection rule storage unit 32 includes a detection rule field 32a.

  Information of a plurality of lines set by the administrator 4c is stored in the detection rule field 32a.

  For example, the wireless terminal 4a or the monitoring terminal 4b stores an application that displays an image captured by the imaging device 1 on a display and sets a virtual line on the image. When the administrator 4c activates the application, displays the image of the photographing apparatus 1 on the display of the wireless terminal 4a or the monitoring terminal 4b, and sets a line at a desired position on the displayed image (for example, draws a line) ), The information of the line set on the image is stored in the detection rule field 32a.

  More specifically, it is assumed that the administrator 4c sets three lines A, B, and C on the road shoulder 12 image displayed on the display of the wireless terminal 4a or the monitoring terminal 4b. In this case, information of lines A, B, and C is stored in the detection rule field 32a as shown in FIG. The information on the lines A, B, and C is indicated by, for example, coordinates on the image, and is indicated by the coordinates of the start point and end point of the line.

  Thereby, the intrusion detection unit 23 can detect the intrusion of the subject into the road shoulder 12 using the set detection rule. For example, the intrusion detection unit 23 can detect the intruder 14 entering the road shoulder 12 based on whether or not the subject detected by the subject detection unit 22 exceeds the line stored in the detection rule field 32a.

  Specifically, when the subject detected by the subject detection unit 22 exceeds “line A” stored in the detection rule field 32a, the intrusion detection unit 23 enters the shoulder 12 beyond the line A. Can be detected. Further, when the subject detected by the subject detection unit 22 exceeds the “line B” stored in the detection rule field 32a, the intrusion detection unit 23 indicates that the subject has entered the road shoulder 12 beyond the line B. Can be detected.

  Although “appearance” shown in the detection rule field 32a will be described later, it means that the subject suddenly appears in a predetermined area without exceeding the line, and the subject stays in the predetermined area for a predetermined time (for example, 5 seconds). . When “appearance” is set in the detection rule by the administrator 4c, the intrusion detection unit 23 detects that the intruder 14 has entered the road shoulder 12 even when a subject appears in a predetermined area without exceeding the line. .

  FIG. 5 is a diagram illustrating a data configuration example of the notification destination information storage unit. As shown in FIG. 5, the notification destination information storage unit 33 has a notification destination field 33a, a notification method field 33b, and a transmission capacity restriction field 33c. Information of the notification destination field 33a, the notification method field 33b, and the transmission capacity restriction field 33c is stored in advance in the notification destination information storage unit 33, and can be changed, added, or deleted.

  The notification destination field 33a stores information on a notification destination for notifying that the subject has entered the road shoulder 12. For example, address information such as a mail address or URL (Uniform Resource Locator) of the wireless terminal 4a or the monitoring terminal 4b used by the administrator 4c of the road 11 is stored in the notification destination field 33a.

  The notification method field 33b stores information indicating a notification rule when reporting to a notification destination. For example, the notification method field 33b stores information such as whether to notify the wireless terminal 4a or the monitoring terminal 4b by e-mail.

  The transmission capacity restriction field 33c stores information indicating the capacity restriction when there is a capacity restriction in the data used when reporting to the notification destination.

  Thus, when the intrusion detection unit 23 detects the intrusion of the subject into the road shoulder 12, the notification unit 25 refers to the notification destination information storage unit 33, thereby providing a predetermined notification to the predetermined notification destination. Notification can be performed with the method and an appropriate transmission capacity.

  Next, the function of the warning device 5 shown in FIG. 1 will be described.

  FIG. 6 is a diagram illustrating an example of functional blocks of the warning device. As shown in FIG. 6, the warning device 5 includes a receiving unit 41 and a display unit 42.

  The receiving unit 41 receives a suppression instruction from the suppression instruction unit 24 of the image analysis apparatus 2a.

  When the reception unit 41 receives the suppression instruction, the display unit 42 displays a predetermined character or image on the display. For example, the display unit 42 displays a predetermined character, image, or the like (for example, a character or image that warns the intruder 14 to return) to the intruder 14 who has entered the shoulder 12.

  Note that the inhibition instruction unit 24 of the image analysis device 2 a may transmit information such as characters and images to be displayed on the display unit 42 to the warning device 5. In this case, the receiving unit 41 of the warning device 5 receives information such as characters and images transmitted from the suppression instruction unit 24, and the display unit 42 is based on the information received by the receiving unit 41. Etc. are displayed on the display.

  Although the warning device 5 of FIG. 6 includes the display unit 42 and has been described assuming, for example, an electric bulletin board or a liquid crystal display, it may be a light emitting device such as a patrol lamp or an audio output device that outputs sound.

  For example, when the warning device 5 is a light emitting device, the display unit 42 shown in FIG. 6 is a light emitting unit such as a light bulb. For example, when the reception unit 41 receives a suppression instruction from the suppression instruction unit 24, the light emitting unit emits light.

  When the warning device 5 is an audio output device, the display unit 42 shown in FIG. 6 serves as an audio output unit that outputs predetermined audio to a speaker or the like. For example, when the reception unit 41 receives a suppression instruction from the suppression instruction unit 24, the voice output unit outputs a predetermined sound.

  Next, a hardware configuration example for realizing the functions of the functional block example shown in FIG. 2 will be described.

  FIG. 7 is a diagram illustrating a hardware configuration example of the image analysis apparatus in FIG. 2. 2 includes, for example, a CPU (Central Processing Unit) 51, a memory 52, an auxiliary storage device 53 such as an HDD (Hard Disk Drive), and a communication line as shown in FIG. A communication interface (I / F) 54 for connection, an input device 55 such as a mouse, keyboard, touch sensor or touch panel, a display device 56 such as a liquid crystal display, and a portable storage such as a DVD (Digital Versatile Disk). This can be realized by a computer 50 including a media I / F 57 that reads and writes information from and on a medium.

  2 can be realized by loading a predetermined program stored in the auxiliary storage device 53 into the memory 52 and executing it by the CPU 51, for example. Each storage unit illustrated in FIG. 2 can be realized by the CPU 51 using the memory 52 or the auxiliary storage device 53, for example.

  The predetermined program may be downloaded from the network to the auxiliary storage device 53 via the communication I / F 54, and then loaded onto the memory 52 and executed by the CPU 51. Alternatively, it may be loaded directly from the network onto the memory 52 via the communication I / F 54 and executed by the CPU 51. Further, the computer 50 may load the predetermined program on the auxiliary storage device 53 or the memory 52 from the storage medium set in the media I / F 57.

  The configuration of the image analysis apparatus 2a shown in FIG. 2 is classified according to the main processing contents in order to facilitate understanding. The present invention is not limited by the way of classification and names of the constituent elements. For example, the configuration of the image analysis device 2a can be classified into more components depending on the processing content. Moreover, it can also classify | categorize so that one component may perform more processes. The processing of each component may be executed by one hardware, or may be executed by a plurality of hardware. Further, the processing of each component may be realized by one program or may be realized by a plurality of programs.

  Further, at least a part or all of the above processing functions can be realized by an electronic circuit such as a DSP (Digital Signal Processor), an ASIC (Application Specific Integrated Circuit), or a PLD (Programmable Logic Device).

  It should be noted that the functional block example of the warning device 5 shown in FIG.

  FIG. 8 is a diagram for explaining the detection rule. FIG. 8 shows an example of a road situation photographed by the photographing apparatus 1. For example, the image can be viewed on the display of the wireless terminal 4a or the monitoring terminal 4b used by the administrator 4c.

  The image shown in FIG. 8 shows a road 61, a shoulder 62, a bank 63, a subject 64, a frame 65, lines 66a to 66c, and a warning device 67. The road 61, the road shoulder 62, and the warning device 67 correspond to, for example, the road 11, the road shoulder 62, and the warning device 5 illustrated in FIG.

  Lines 66a to 66c indicate lines for detecting the subject 64 as an intruder. The lines 66a to 66c can be set in both or any one of the traveling direction of the automobile traveling on the road 61 and the transverse direction crossing the traveling direction. In the example of FIG. 8, the line 66a is set in the transverse direction, and the lines 66b and 66c are set in the traveling direction.

  The lines 66a to 66c are set by the administrator 4c, for example. For example, the administrator 4c sets lines 66a to 66c on the image using the wireless terminal 4a or the monitoring terminal 4b. In the example of FIG. 8, the lines 66 a to 66 c are set on the image of the road shoulder 62.

  Information of the lines 66a to 66c set by the administrator 4c is stored in the detection rule storage unit 32 shown in FIG. As described with reference to FIG. 4, the information on the lines 66 a to 66 c is indicated by, for example, coordinates on the image, and is indicated by coordinates of the start point and end point of the line. For example, the information of the line 66a illustrated in FIG. 8 corresponds to the information of “line A” illustrated in FIG.

  A subject 64 is shown in the image. The subject 64 is, for example, an intruder who has entered from an entrance / exit of an expressway or an automobile exclusive road. In the example of FIG. 8, there are entrances and exits of an expressway and an automobile road on the near side of the image, and the subject 64 walks from the near side of the image toward the back side (the side entering the expressway and the car road). Suppose that

  The subject detection unit 22 of the image analysis device 2a detects a person or a bicycle (subject 64) appearing in the image. When the subject detection unit 22 detects the subject 64, the subject detection unit 22 surrounds the subject 64 with a frame 65.

  The intrusion detection unit 23 determines whether the subject 64 has entered the road shoulder 62 based on whether or not the subject 64 (that is, the frame 65) detected by the subject detection unit 22 exceeds the lines 66a to 66c.

  For example, it is assumed that the frame 65 moves from the near side to the far side of the image and exceeds the line 66a. In this case, the intrusion detection unit 23 determines that the subject 64 has entered the road shoulder 62. Although not shown in FIG. 8, it is assumed that the subject (a frame surrounding the subject) moves from the bank 63 toward the road 61 and crosses the line 66b. In this case, the intrusion detection unit 23 determines that the subject that has appeared from the bank 63 has entered the road shoulder 62. Although not shown in FIG. 8, it is assumed that the subject (a frame surrounding the subject) moves from the road 61 toward the bank 63 and crosses the line 66c. In this case, the intrusion detection unit 23 determines that the subject appearing on the road 61 has entered the road shoulder 62.

  FIG. 9 is a diagram for explaining a subject intrusion pattern. Detection areas 71a, 72a, and 73a shown in FIG. 9 indicate areas for detecting intrusion of a subject. For example, the detection areas 71a, 72a, 73a correspond to the road shoulder 62 shown in FIG.

  The lines 71b, 72b, 72c are lines for detecting that the subject has entered the detection areas 71a, 72a. The intrusion detection unit 23 detects that the subject has entered the detection area when the subject (the frame surrounding the subject) exceeds the lines 71b, 72b, and 72c. The lines 71b, 72b, 72c correspond to, for example, the lines 66a, 66b, 66c in FIG.

  FIG. 9 shows three intrusion patterns of the subject. FIG. 9A shows an intrusion pattern in which the subject has entered the detection area 71a beyond the line 71b. FIG. 9B shows an intrusion pattern in which the subject has entered the detection area 72a beyond the line 72b or beyond the line 72c.

  FIG. 9C shows an intrusion pattern in which a subject suddenly appears in the detection area 73a. For example, this intrusion pattern corresponds to the case where the subject enters the shoulder from a road while riding on a car and the subject gets off the car. That is, the case where the subject 73b suddenly appears in the detection area 73a corresponds to FIG.

  The reason why the intrusion pattern of FIG. 9C is considered is that the subject detection unit 22 detects a person or a bicycle and does not detect a car. That is, the intrusion detection unit 23 can detect the intrusion even when the subject enters the road shoulder from the road while the subject is on the automobile and the subject gets off the automobile.

  A frame 73c shown in FIG. 9C is a frame for detecting the intrusion of the subject 73b that suddenly appears. The intrusion detection unit 23 detects that the subject 73b has entered the detection area when the subject 73b suddenly appears in the frame 73c and stays in the frame 73c for a predetermined time.

  The intrusion pattern information in FIG. 9C corresponds to, for example, “appearance” of the detection rule shown in FIG. For example, when the administrator 4c sets a quadrangular shape (frame 73c) on the road shoulder image displayed on the display of the wireless terminal 4a or the monitoring terminal 4b, the detection rule storage unit 32. The information of the detection rule “appearance” is indicated by, for example, four rectangular vertices set by the administrator 4c. Further, the information on the detection rule “appearance” includes information on the staying time of the subject. The administrator 4c can change the staying time included in the detection rule “appearance” using the wireless terminal 4a or the monitoring terminal 4b.

  That is, the intrusion detection unit 23, when the intrusion of the subject into the detection area (shoulder) corresponds to any of a plurality of predetermined intrusion patterns (for example, FIGS. 9A to 9C), Detect intrusions. The subject intrusion pattern includes a case where the subject suddenly appears in a predetermined area without crossing the line (for example, FIG. 9C).

[Description of operation]
The intrusion detection operation of the image analysis device 2a will be described using a flowchart.

  FIG. 10 is a flowchart illustrating an intrusion detection operation example of the image analysis apparatus. In the flowchart of FIG. 10, for example, the process is executed when the administrator 4c uses the wireless terminal 4a or the monitoring terminal 4b to instruct the image analysis apparatus 2a to start intrusion monitoring. In the flowchart of FIG. 10, for example, the process from “start” to “end” is repeated until an operation cancellation instruction is issued by the administrator 4c. It is assumed that the detection rule is set in advance by the administrator 4c and stored in the detection rule storage unit 32.

  The image acquisition unit 21 acquires a road image captured by the imaging device 1 (step S1).

  Next, the subject detection unit 22 detects a subject appearing in the image on the road acquired by the image acquisition unit 21 (step S2). For example, the subject detection unit 22 detects a person appearing on a road image or a person riding a bicycle.

  Next, the intrusion detection unit 23 determines whether the intrusion of the subject into the road shoulder corresponds to any of a plurality of predetermined intrusion patterns (step S3). For example, the intrusion detection unit 23 determines whether the intrusion of the subject corresponds to any of the intrusion patterns shown in FIGS. More specifically, the intrusion detection unit 23 refers to the detection rule storage unit 32 illustrated in FIG. 4 and determines which line the subject has exceeded or has suddenly appeared on the road shoulder.

  The intrusion detection unit 23 proceeds to the process of step S4 when the intrusion of the subject corresponds to any of a plurality of predetermined intrusion patterns. For example, the intrusion detection unit 23 proceeds to the process of step S4 when the intrusion of the subject corresponds to any one of the intrusion patterns in FIGS. On the other hand, if the intrusion of the subject does not correspond to any of a plurality of predetermined intrusion patterns, the intrusion detection unit 23 ends the process.

  Next, the inhibition instruction unit 24 issues an inhibition instruction to the warning device 5 (step S4). Thereby, the warning device 5 can warn the intruder who has entered the road shoulder.

  The processing unit of the flowchart shown in FIG. 10 is divided according to the main processing contents in order to facilitate understanding of the processing of the image analysis apparatus 2a. The present invention is not limited by the way of dividing the processing unit or the name. The processing of the image analysis device 2a can be divided into more processing units according to the processing content. Moreover, it can also divide | segment so that one process unit may contain many processes. Further, the processing order of the above flowchart is not limited to the illustrated example.

  In this manner, the image acquisition unit 21 of the image analysis device 2a of the intrusion prevention device 2 acquires the road image captured by the imaging device 1, and the subject detection unit 22 detects the subject appearing on the image. The intrusion detection unit 23 detects the intrusion of the subject into the road shoulder when the intrusion of the subject into the road shoulder corresponds to any of a plurality of predetermined intrusion patterns. Is instructed to the warning device 5 installed in As a result, it is possible to appropriately prevent intruders from entering an expressway or an automobile-only road.

[Second Embodiment]
Next, a second embodiment of the present invention will be described with reference to the drawings. In the second embodiment, the warning content is changed according to the intrusion pattern of the subject. For example, in FIG. 8, different warnings are given to the intruder when the intruder enters the road shoulder 62 over the line 66a and when the intruder enters the road shoulder 62 over the line 66b.

  In the second embodiment, the detection rule storage unit 32 is different from the first embodiment. In addition, the functions of the intrusion detection unit 23 and the deterrence instruction unit 24 are partially different. Below, only a different part from 1st Embodiment is demonstrated.

  FIG. 11 is a diagram illustrating a data configuration example of the detection rule storage unit according to the second embodiment. As shown in FIG. 11, the detection rule storage unit 32 includes a detection rule field 81a and an intrusion pattern ID field 81b. The detection rule field 81a is the same as the detection rule field 32a described with reference to FIG.

  The intrusion pattern ID field 81b stores a unique identifier (intrusion pattern ID) for identifying the detection rule. For example, the intrusion pattern ID “mmmm” is assigned to the detection rule “line A”. The intrusion pattern ID is uniquely given, for example, when the administrator 4c performs line setting using the wireless terminal 4a or the monitoring terminal 4b.

  The intrusion detection unit 23 refers to the detection rule storage unit 81 illustrated in FIG. 11 and determines which line the subject has exceeded or has suddenly appeared. At this time, the intrusion detection unit 23 acquires an intrusion pattern ID corresponding to the detection rule that the subject has exceeded.

  For example, it is assumed that the subject exceeds “line A” set on the road shoulder image. In this case, the intrusion detection unit 23 acquires the intrusion pattern ID “mmmm” according to the example of FIG. Alternatively, it is assumed that the subject exceeds “Line B” set on the road shoulder image. In this case, the intrusion detection unit 23 acquires the intrusion pattern ID “nnn” according to the example of FIG.

  The suppression instruction unit 24 instructs the warning device 5 to perform suppression corresponding to the intrusion pattern ID acquired by the intrusion detection unit 23. For example, if the intrusion pattern ID acquired by the intrusion detection unit 23 is “mmmm”, the deterrence instruction unit 24 instructs the warning device 5 to display “A”, and the intrusion detection unit 23 acquires it. If the entered intrusion pattern ID is “nnnn”, the warning device 5 is instructed to display “B”.

  Alternatively, the inhibition instruction unit 24 may transmit the intrusion pattern ID acquired by the intrusion detection unit 23 to the warning device 5. For example, the warning device 5 displays a warning content corresponding to the received intrusion pattern ID on the display.

  FIG. 12 is a flowchart illustrating an intrusion detection operation example of the image analysis apparatus according to the second embodiment. In the flowchart of FIG. 12, for example, when the administrator 4c uses the wireless terminal 4a or the monitoring terminal 4b to instruct the image analysis apparatus 2a to start an operation for intrusion monitoring, the process is executed. In the flowchart of FIG. 12, for example, the process from “start” to “end” is repeated until an operation release instruction is issued by the administrator 4c. It is assumed that the detection rule is set in advance by the administrator 4c and stored in the detection rule storage unit 81 together with the intrusion pattern ID.

  The image acquisition unit 21 acquires a road image captured by the imaging device 1 (step S11).

  Next, the subject detection unit 22 detects a subject appearing in the road image acquired by the image acquisition unit 21 (step S12). For example, the subject detection unit 22 detects a person appearing on a road image or a person riding a bicycle.

  Next, the intrusion detection unit 23 determines whether the intrusion of the subject into the road shoulder corresponds to any of a plurality of predetermined intrusion patterns (step S13). For example, the intrusion detection unit 23 determines whether the intrusion of the subject corresponds to any of the intrusion patterns shown in FIGS. More specifically, the intrusion detection unit 23 refers to the detection rule storage unit 81 illustrated in FIG. 11 and determines which line the subject has exceeded or has suddenly appeared.

  The intrusion detection unit 23 proceeds to the process of step S14 when the intrusion of the subject corresponds to any of a plurality of predetermined intrusion patterns. For example, the intrusion detection unit 23 proceeds to the process of step S14 when the intrusion of the subject corresponds to any of the intrusion patterns in FIGS. On the other hand, if the intrusion of the subject does not correspond to any of a plurality of predetermined intrusion patterns, the intrusion detection unit 23 ends the process.

  The intrusion detection unit 23 acquires an intrusion pattern ID corresponding to the intrusion pattern of the subject (step S14). For example, the intrusion detection unit 23 refers to the detection rule storage unit 81 illustrated in FIG. 11 and acquires the intrusion pattern ID corresponding to the line or the appearance of the subject beyond the subject.

  Next, the deterrence instruction unit 24 instructs the warning device 5 to perform a deterrence instruction according to the intrusion pattern ID acquired by the intrusion detection unit 23 (step S15).

  The processing unit of the flowchart shown in FIG. 12 is divided according to the main processing contents in order to facilitate understanding of the processing of the image analysis apparatus 2a. The present invention is not limited by the way of dividing the processing unit or the name. The processing of the image analysis device 2a can be divided into more processing units according to the processing content. Moreover, it can also divide | segment so that one process unit may contain many processes. Further, the processing order of the above flowchart is not limited to the illustrated example.

  In this way, the intrusion detection unit 23 of the image analysis apparatus 2a acquires the intrusion pattern ID corresponding to the intruder's intrusion pattern. Then, the deterrence instruction unit 24 issues a deterrence instruction according to the intrusion pattern ID to the warning device 5. Thereby, the image analysis apparatus 2a can perform an appropriate warning according to the intruder intrusion pattern.

  More specifically, the warning device 5 can recognize which line the subject has crossed by the intrusion pattern ID (it can recognize from which direction the subject has entered), and can issue a warning according to the intrusion direction of the subject. Thereby, the warning device 5 can make an intruder recognize that it is a warning to the person, for example, and can improve the deterrent effect.

  Alternatively, for example, an electronic bulletin board and a directional speaker are used as the warning device 67 in FIG. The directional speaker adjusts the directivity so that sound can be heard on the line 66b, for example. When the subject 64 exceeds the line 66a, the inhibition instruction unit 24 instructs the warning device 67 of the electronic bulletin board to inhibit, and when the subject 64 exceeds the line 66b, the inhibition instruction unit 24 instructs the warning device 67 of the directional speaker. Inhibit instructions. Thereby, the suppression instruction | indication part 24 can perform an appropriate warning with respect to each of the intruder who invades from the entrance / exit of an expressway or a motor vehicle exclusive road, and the intruder who invades from the bank 63. FIG.

[Third Embodiment]
Next, a third embodiment of the present invention will be described with reference to the drawings. In the third embodiment, the content of the warning is changed depending on the type (type) of the subject. For example, in FIG. 8, different warnings are given to the intruder when a person enters the road shoulder 62 through the line 66a and when a bicycle enters the road shoulder 62 through the line 66a.

  In the third embodiment, the detection rule storage unit 81 is different from the second embodiment. Further, the function of the intrusion detection unit 23 is partially different from that of the second embodiment. Below, only a different part from 2nd Embodiment is demonstrated.

  FIG. 13 is a diagram illustrating a data configuration example of the detection rule storage unit according to the third embodiment. As shown in FIG. 13, the detection rule storage unit 91 has a detection rule field 91a, a subject type field 91b, and an intrusion pattern ID field 91c. The detection rule field 91a is the same as the detection rule field 32a described with reference to FIG.

  The subject type field 91b stores subject type (type) information. For example, there are a person and a bicycle as the types of subjects to be detected for intrusion, and therefore, for example, information of “person” or “bicycle” is stored in the subject type field 91b.

  The intrusion pattern ID field 91c stores a unique identifier (intrusion pattern ID) for identifying the detection rule and the subject type. For example, even if the detection rules are the same, different intrusion pattern IDs are assigned if the subject types are different. For example, even if the detection rule is “line A”, if the subject is “person”, the intrusion pattern ID is “qqqq”, and if the subject is “bicycle”, the intrusion pattern ID is “rrrr”.

  The intrusion detection unit 23 refers to the detection rule storage unit 91 illustrated in FIG. 13 and determines which line the subject has exceeded or has suddenly appeared. At this time, the intrusion detection unit 23 acquires the intrusion pattern ID according to the detection rule corresponding to the subject and the subject type.

  For example, it is assumed that the subject exceeds “line A” set on the road shoulder image. Further, it is assumed that the subject is a “person”. In this case, the intrusion detection unit 23 acquires the intrusion pattern ID “qqqq” according to the example of the detection rule storage unit 91 of FIG. 11.

  The deterrence instruction unit 24 instructs the warning device 5 to perform deterrence corresponding to the intrusion pattern ID acquired by the intrusion detection unit 23, as described in the second embodiment.

  The flowchart of the third embodiment is the same as the flowchart of FIG. However, the process of step S14 is different in the third embodiment. In the third embodiment, an intrusion pattern ID corresponding to the type of subject is acquired in step S14.

  As described above, the intrusion detection unit 23 of the image analysis apparatus 2a acquires the intrusion pattern ID corresponding to the intruder intrusion pattern and the intruder type. Then, the deterrence instruction unit 24 issues a deterrence instruction according to the intrusion pattern ID to the warning device 5. Thereby, the image analysis apparatus 2a can perform an appropriate warning according to the intruder intrusion pattern and the intruder type.

  More specifically, in FIG. 8, it is assumed that “person” exceeds the line 66a. In this case, the warning device 67 displays, for example, a warning of contents directed to “person” on the display. Further, it is assumed that “bicycle” exceeds the line 66a. In this case, the warning device 67 displays a warning with the content for “bicycle” on the display. Thereby, the warning device 67 can make an intruder recognize that it is a warning to the intruder, for example, and can improve the deterrent effect.

[Fourth Embodiment]
Next, a fourth embodiment of the present invention will be described with reference to the drawings. In the fourth embodiment, a plurality of warning devices are installed at appropriate positions around the road shoulder. Then, the intrusion prevention device 2 instructs a plurality of warning devices installed at different positions to give different warnings. In the fourth embodiment, the function of the inhibition instruction unit 24 of the image analysis device 2a is partially different.

  FIG. 14 is a diagram illustrating an installation example of the warning device according to the fourth embodiment. FIG. 14 shows a road shoulder 101, warning devices 102a and 102b, a walking person 103, and a bicycle 104 on which a person rides. FIG. 14 shows a state viewed from the crossing direction of the road.

  It is assumed that a line is set on the road shoulder 101 image in front of the warning device 102a. For example, it is assumed that a line 66a shown in FIG. 8 is set in front of the warning device 102a.

  On the left side of the road shoulder 101, for example, there is an entrance / exit of an expressway or an automobile road. The warning device 102a is installed at a first position close to the entrance / exit of the expressway and the automobile exclusive road, and the warning device 102b is installed at a second position far from the entrance / exit of the expressway and the automobile exclusive road.

  The positions of the warning devices 102a and 102b are the movement speed of the person 103 and the bicycle 104, the intrusion detection time of the person 103 and the bicycle 104 of the intrusion prevention device 2, and the warning of the person 103 and the bicycle 104 (person who rides the bicycle 104). It is determined in consideration of the interpretation time (for example, the time until a person understands the warning content displayed on the warning devices 102a and 102b, which are electronic bulletin boards).

For example, the walking speed of the person 103 is 1.5 m / sec. The intruder detection time of the intrusion prevention device 2 is 4 seconds. The warning reading time for the person 103 is 3 seconds. In this case, the appropriate position of the warning device 102a with respect to the person 103 who walks can be calculated | required by following Formula (1), for example.
1.5 m / sec × (4 seconds + 3 seconds) = 10.5 m (1)

  That is, if the warning device 102a is installed 10.5 m ahead of the line set by the administrator 4c, the person 103 walking on the road shoulder 101 can appropriately recognize the warning.

The traveling speed of the bicycle is 4 m / sec. The intruder detection time of the intrusion prevention device 2 is 4 seconds. Also, the warning interpretation time for a person riding on the bicycle 104 is 3 seconds. In this case, an appropriate position of the warning device 102b with respect to the bicycle 104 can be obtained by the following equation (2), for example.
4.0 m / sec × (4 seconds + 3 seconds) = 28 m (2)

  That is, if the warning device 102b is installed 28m ahead of the line set by the administrator 4c, the bicycle 104 (person riding on the bicycle 104) traveling on the road shoulder 101 can recognize the warning appropriately.

  For example, when the intrusion detection unit 23 detects the intrusion of the subject and the subject detection unit 22 detects “person”, the suppression instruction unit 24 directs the warning device 102a to “person”. Instruct the warning contents to be suppressed. On the other hand, for example, when the intrusion detection unit 23 detects the intrusion of the subject and the subject detection unit 22 detects “bicycle”, the suppression instruction unit 24 instructs the warning device 102b to “bicycle”. Instruct the warning contents to be suppressed.

  When the warning devices 102a and 102b are speakers, the installation position is not limited to the above position. This is because in the case of voice, it is not necessary to take into account the warning interpretation time of the intruder.

  As described above, the inhibition instruction unit 24 of the image analysis apparatus 2a instructs the warning devices 102a and 102b at appropriate positions depending on whether the subject is “person” or “bicycle” and also determines the type of subject. The warning device 102a, 102b is instructed to appropriately suppress warning contents according to the above. Thereby, the image analysis apparatus 2a can perform an appropriate warning according to the intruder intrusion pattern and the intruder type.

  In addition, other arbitrary structures and processes may be added to the present invention. Many alternatives, modifications, and variations will be apparent to those skilled in the art.

  For example, although an infrared thermal camera has been described as an example of the photographing apparatus 1, a visible light camera may be used. When an infrared thermal camera is used as the photographing device 1, the subject detection unit 22 can distinguish between a bicycle and a motorcycle. For example, since a motorcycle is equipped with an engine, the bicycle and the motorcycle can be distinguished by the heat generated by the engine. Accordingly, when an infrared thermal camera is used as the photographing device 1, a warning can be given to a bicycle running on the shoulder without warning the motorcycle running on the shoulder.

  Further, the intrusion detection unit 23 may detect the intrusion of the road shoulder of the subject based on the direction beyond the line of the subject. For example, the intrusion detection unit 23 detects the intrusion of the subject 64 when the subject 64 moves from the near side of the screen toward the far side in FIG. 8 and exceeds the line 66a. On the other hand, the intrusion detection unit 23 does not detect the intrusion of the subject 64 when the subject 64 moves from the back side of the screen toward the near side in FIG. 8 and exceeds the line 66a. As described above, the intrusion detection unit 23 can detect the direction beyond the line of the subject, so that a more appropriate warning can be given to the subject 64. Specifically, when the subject 64 is moving from the back side of the screen toward the front side, the subject 64 is considered to be heading toward the entrance / exit of the road 61. That is, it is considered that the subject 64 is about to leave the road 61. In this case, the inhibition instruction unit 24 does not issue an inhibition instruction to the warning device 67.

  Further, the intrusion pattern is not limited to the type described above. For example, in FIG. 9A, it is possible to detect the intrusion of a subject moving from the top to the bottom. FIG. 15 is a diagram illustrating another example of the intrusion pattern. In FIG. 15, the same components as those in FIG. As shown in FIG. 15, for example, a line 111 is provided above the detection area 71a. Thereby, the intrusion detection unit 23 can detect the intrusion of the subject moving from the upper side to the lower side in FIG.

  In the above description, the photographing device 1 is installed so as to face the traveling direction of the automobile, but may be installed so as to face the opposite direction. For example, in FIG. 1, the photographing device 1 is installed around the warning device 5 and the camera of the photographing device 1 is directed so as to photograph the front side of the automobile. Even when the photographing apparatus 1 is installed in this way, the processing content is the same as described above.

  The image analysis device 2a may include a switch that turns off the intrusion detection function. For example, when constructing a road shoulder, a construction worker turns off the intrusion detection function of the image analysis apparatus 2a. As a result, even if a person involved in the construction enters or exits the road shoulder, the warning device does not display the warning. The switch may be automatically turned on after a predetermined time has elapsed. Thereby, for example, forgetting to switch on after turning off the switch can be prevented. For example, even if the construction person in charge turns off the intrusion detection of the image analysis device 2a and forgets to turn it on after the completion of the construction, the image analysis device 2a automatically turns on the intrusion detection function after a predetermined time, Intruders can be monitored for entry into the shoulder.

  In the above description, the intrusion detection function of the image analysis device 2a is turned off. However, for example, the hardware power that outputs a signal to the warning device may be turned off. Thereby, the image analysis apparatus 2a can stop the instruction to suppress the warning device while recording the road condition even if, for example, a construction person or the like enters the detection area. In addition, the power supply of the communication device 2b may be turned off. Thereby, even if the subject enters the detection area, the image analysis device 2a can stop the intrusion notification to the wireless terminal 4a or the monitoring terminal 4b while recording the road condition.

  Moreover, you may combine each of 2nd Embodiment-4th Embodiment.

  Moreover, it is possible not only to be a transaction target as a system but also to be a transaction target as a program component unit.

1: imaging device, 2: intrusion prevention device, 2a: image analysis device, 2b: communication device, 3: network, 4: monitoring equipment, 4a: wireless terminal, 4b: monitoring terminal, 4c: administrator, 11, 61, 101: road, 12, 62: road shoulder, 13, 102a, 102b: warning device, 14: automobile, 15: intruder, 21: image acquisition unit, 22: subject detection unit, 23: intrusion detection unit, 24: deterrence instruction Section 25: notification section 26: video playback section 31: shooting information storage section 31a: shooting video ID field 31b: recording start date / time field 31c: recording end date / time field 31d: video data field 32, 81 , 91: Detection rule storage unit, 32a, 81a, 91a: Detection rule field, 33: Notification destination information storage unit, 33a: Notification destination field, 33b: Notification method field 33c: Transmission capacity limit field, 41: Reception unit, 42: Display unit, 50: Computer, 51: CPU, 52: Memory, 53: Auxiliary storage device, 54: Communication I / F, 55: Input device, 56: Display Device, 57: Media I / F, 63: Bank, 64, 73b: Subject, 65: Frame, 66a to 66c, 71b, 72b, 72c: Line, 71a to 73a: Detection area, 73c: Frame, 81b, 91c: Intrusion pattern ID field, 91b: Subject type field, 103: Person, 104: Bicycle

Claims (12)

An image acquisition unit that acquires an image of a road imaged by the imaging device;
A subject detection unit for detecting a subject appearing in the road image;
An intrusion detection unit that detects the intrusion of the subject into the predetermined area when the intrusion of the subject into the predetermined area of the road corresponds to any of a plurality of predetermined invasion patterns;
When the intrusion detection unit detects the intrusion of the subject into the predetermined area, a warning device installed in the vicinity of the predetermined area is given a warning to prevent the subject from entering the predetermined area. A deterrence instruction unit for instructing
An intrusion prevention device comprising: The intrusion prevention device according to claim 1,
A plurality of lines are provided on the image of the predetermined area,
The intrusion detection unit detects which line of the plurality of lines the subject has exceeded, and identifies the intrusion pattern with respect to the predetermined area of the subject by the detected line.
An intrusion prevention device characterized by that. The intrusion prevention device according to claim 2,
The intrusion prevention apparatus, wherein the plurality of lines are provided in both or any one of a traveling direction of an automobile traveling on the road and a transverse direction crossing the traveling direction. The intrusion prevention device according to any one of claims 1 to 3,
The intrusion detection unit distinguishes the predetermined intrusion pattern according to a stay time of the subject in the predetermined area;
An intrusion prevention device characterized by that. The intrusion prevention device according to any one of claims 1 to 4,
The intrusion deterring device, wherein the deterrence instructing unit issues a deterrence instruction to the warning device according to the intrusion pattern of the subject. In the intrusion prevention device according to any one of claims 1 to 5,
The subject detection unit identifies whether the subject is a person or a motorcycle,
The deterrence instruction unit performs a deterrence instruction according to the identification of the subject detection unit to the warning device;
An intrusion prevention device characterized by that. The intrusion prevention device according to claim 6,
A plurality of the warning devices are installed at different positions on the road,
The deterrence instruction unit performs a deterrence instruction according to a position where the warning device is installed and a type of whether the subject is a person or a motorcycle.
An intrusion prevention device characterized by that. The intrusion prevention device according to claim 7,
The warning device is installed at a first position and a second position along a traveling direction of an automobile traveling on the road, and the second position is from the traveling direction with respect to the first position. Is far from the position where the intrusion into the predetermined area is detected,
The deterrence instruction unit
When the subject detection unit identifies that the subject is a person, it instructs the warning device installed at the first position to suppress,
When the subject detection unit identifies that the subject is a motorcycle, the instruction is given to the warning device installed at the second position.
An intrusion prevention device characterized by that. The intrusion prevention device according to claim 7 or 8,
Each of the plurality of warning devices is any one of a display device, a light emitting device, and an audio output device.
An intrusion prevention device characterized by that. An intrusion prevention method using an intrusion prevention device,
The intrusion prevention device is
An image acquisition step of acquiring an image of a road taken by the imaging device;
A subject detection step for detecting a subject appearing in the road image;
An intrusion detection step of detecting an intrusion of the subject into the predetermined area when the subject enters the predetermined area of the road corresponds to any of a plurality of predetermined intrusion patterns;
When the intrusion detection step detects the intrusion of the subject into the predetermined area, the intrusion of the subject into the predetermined area is suppressed, and a warning device installed around the predetermined area is inhibited from giving a predetermined instruction. An instruction step;
An intrusion prevention method characterized by comprising: A program for causing a computer to execute a procedure for preventing a subject from entering a predetermined area,
In the computer,
An image acquisition unit that acquires an image of a road imaged by the imaging device;
A subject detection unit that detects the subject appearing in the road image;
An intrusion detection unit that detects an intrusion of the subject into the predetermined area when the intrusion of the subject into the predetermined area of the road corresponds to any of a plurality of predetermined invasion patterns;
When the intrusion detection unit detects the intrusion of the subject into the predetermined area, a warning device installed in the vicinity of the predetermined area is given a warning to prevent the subject from entering the predetermined area. A deterrence instruction unit for instructing
A program characterized by functioning as An intrusion deterrent system for deterring intruders,
A photographing device;
An intrusion deterrent device;
A warning device;
With
The intrusion prevention device is
An image acquisition unit for acquiring an image of a road imaged by the imaging device;
A subject detection unit for detecting a subject appearing in the road image;
An intrusion detection unit that detects the intrusion of the subject into the predetermined area when the intrusion of the subject into the predetermined area of the road corresponds to any of a plurality of predetermined invasion patterns;
When the intrusion detection unit detects the intrusion of the subject into the predetermined area, the warning device installed in the vicinity of the predetermined area performs a warning to prevent the subject from entering the predetermined area. A deterrence instruction unit for giving a predetermined instruction;
An intrusion prevention system characterized by comprising:

Images