Surveillance system

Abstract

To provide a monitoring system capable of suppressing a surreptitious photographing action on an escalator.SOLUTION: A monitoring system includes an imaging device provided so as to be able to image a range through which a person riding on an escalator in an ascending direction passes, and a monitoring device that monitors the person riding on the escalator. A monitoring device includes an analysis unit that detects a specific person who has performed a specific behavior from a video captured by an imaging device, a detection unit that detects that the specific person has boarded an escalator in an ascending direction from the video captured by the imaging device, and a countermeasure unit that performs countermeasure processing against illegal camcording when the detection unit detects that the specific person has boarded the escalator in the ascending direction.SELECTED DRAWING: Figure 1

Description

[Technical Field]

[0001] The present disclosure relates to an escalator monitoring system. [Background technology]

[0002] Patent Document 1 discloses an escalator monitoring system. This monitoring system captures images of the situation around the escalator. Based on the images, the monitoring system can detect passengers using the escalator in an irregular manner, such as leaning over the outside of the escalator. [Prior art documents] [Patent documents]

[0003] [Patent Document 1] Japanese Patent Application Laid-Open No. 2000-255964 Summary of the Invention [Problem to be solved by the invention]

[0004] For many years, passengers riding on escalators going up have been the victims of surreptitious photography. If it were possible to detect people taking such photos, it could lead to a deterrent to such acts. However, because the posture of people taking photos while riding an escalator is not significantly different from that of other passengers, it is difficult for a surveillance system such as that described in Patent Document 1 to detect such people taking photos.

[0005] The present disclosure has been made to solve the above-mentioned problems, and an object of the present disclosure is to provide a surveillance system that can deter surreptitious photography on escalators. [Means for solving the problem]

[0006] The surveillance system according to the present disclosure comprises a camera device that is capable of capturing an image of the area through which a person riding an escalator going up passes, and a surveillance device that monitors the person riding the escalator. The surveillance device has an analysis unit that detects a specific person who has performed a specific action from the image captured by the camera device, a detection unit that detects that the specific person has boarded the escalator going up from the image captured by the camera device, and a response unit that implements response processing to the voyeurism when the detection unit detects that the specific person has boarded the escalator going up. [Effects of the Invention]

[0007] According to the present disclosure, a monitoring device detects a specific person who has engaged in a specific behavior from video captured by a camera. When the monitoring device detects that the specific person has boarded an escalator going up, the monitoring device performs a process to respond to the voyeurism. This makes it possible to deter voyeurism on escalators. [Brief explanation of the drawings]

[0008] [Figure 1] 1 is a configuration diagram of an escalator to which a monitoring system according to a first embodiment is applied. [Figure 2] 1 is a functional block diagram of a monitoring system according to a first embodiment. [Figure 3] 4 is a flowchart showing a first example of the operation performed by the monitoring system in the first embodiment. [Figure 4] 10 is a flowchart showing a second example of the operation performed by the monitoring system in the first embodiment. DETAILED DESCRIPTION OF THE INVENTION

[0009] The embodiments of the present disclosure will be described with reference to the accompanying drawings. In each drawing, the same or corresponding parts are designated by the same reference numerals. Duplicate descriptions of these parts will be appropriately simplified or omitted.

[0010] Embodiment 1

[0011] Embodiment 1 Fig. 1 is a configuration diagram of an escalator to which a monitoring system according to embodiment 1 is applied. Fig. 2 is a functional block diagram of the monitoring system according to embodiment 1.

[0012] The monitoring system 1 is applied to an escalator 101. The escalator 101 is installed between an upper floor and a lower floor of a building (not shown). The escalator 101 transports passengers in a transportation space A1 between the upper and lower floors. In the following, a case will be described in which the escalator 101 is an ascending escalator that transports passengers from a lower floor to an upper floor. Passengers on the escalator 101 move upward along the transportation space A1. The escalator 101 includes an entrance 102a, which is a first entrance, an exit 102b, which is a second entrance, a main frame 103, a plurality of steps 104, a driving machine 105, and a control device 106.

[0013] The entrance 102a is located on a lower floor of the building. The exit 102b is located on an upper floor of the building. Passengers use the escalator 101 by passing through the entrance 102a and the exit 102b. The main frame 103 spans between the entrance 102a and the exit 102b. The main frame 103 has a machine room 103a at its upper end. The machine room 103a is located below the exit 102b. The multiple steps 104 are all connected endlessly. The multiple steps 104 are arranged between the entrance 102a and the exit 102b.

[0014] The driving machine 105 rotates the driving shaft to move the plurality of steps 104. The driving machine 105 includes a braking device. The control device 106 controls the driving machine 105 and the braking device, thereby controlling the overall operation of the escalator 101.

[0015] When the escalator 101 is operating, the driving machine 105 generates a rotational driving force corresponding to the upward direction. In this case, the steps 104 move from the entrance 102a to the exit 102b.

[0016] The escalator 101 to which the monitoring system 1 is applied is basically installed in an environment where it is not expected that people will travel back and forth. For example, the escalator 101 connects the ticket gate floor and the platform floor of a station. In this case, the ticket gate floor may be the entrance 102a, or the platform floor may be the entrance 102a. For example, the escalator 101 connects the ticket gate floor of a station with the outside. For example, the escalator 101 is installed in a connecting passageway connecting facilities. That is, in an environment where the escalator 101 is installed, people use the escalator 101 to move from one direction to another. In this environment, it is not expected that after a person moves from one direction to another, they will return from the other direction to the one direction within a certain period of time.

[0017] The monitoring system 1 includes an imaging device 2, a notification device 3, and a monitoring device 10. The monitoring system 1 may also include an escalator 101. Alternatively, the escalator 101 may also include the monitoring system 1.

[0018] The camera device 2 is a camera that captures video, which is a series of images over time. The camera device 2 can identify people in the video. In other words, the camera device 2 may be a camera that can identify people. The camera device 2 is installed in a position where it can capture the monitoring range. The monitoring range is the range monitored by the monitoring system 1. The monitoring range includes the entrance 102a and the transportation space A1 in the upward direction of the escalator 101. The monitoring range may also include a designated area around the entrance 102a of the escalator 101. The designated area may be an area with a radius of 10 m centered on the entrance 102a. The camera device 2 may be installed at an angle that allows it to capture the faces of people passing through the entrance 102a.

[0019] The notification device 3 notifies information to passengers on the escalator 101. The notification device 3 is installed on the deck of the escalator 101, around the escalator 101, etc. The notification device 3 includes at least one of a speaker 31 and a display device 32. The speaker 31 emits sound. The display device 32 displays images.

[0020] For example, monitoring device 10 is installed in machine room 103a. Monitoring device 10 monitors whether or not anyone using escalator 101 is taking surreptitious photos. Generally, on an escalator 101 going up, a surreptitious photographer takes photos up the skirts of users riding in front of them from below. In this case, the surreptitious photographer behaves differently from ordinary users who are simply traveling, so that he or she can step onto steps 104 immediately behind the person he or she is photographing.

[0021] The monitoring device 10 detects a specific person who has performed a specific behavior on the escalator 101 based on the video captured by the image capturing device 2. A specific behavior is different from a behavior intended for travel. For example, the behavior of riding the escalator 101 in the upward direction multiple times within a specified time period is regarded as a specific behavior by the monitoring device 10. For example, the behavior of staying continuously in a specified area for longer than a specified time period is regarded as a specific behavior by the monitoring device 10.

[0022] The monitoring device 10 detects that a specific person who has performed a specific behavior has boarded the escalator 101 in the ascending direction. The monitoring device 10 performs a response process when there are other passengers around the specific person who has boarded the escalator 101. Note that the monitoring device 10 may also perform the response process when the specific person boards the escalator 101, regardless of whether there are passengers around the specific person.

[0023] As a response process, the monitoring device 10 causes the speaker 31 to make a notification to passengers to warn them about voyeurism. For example, the speaker 31 may issue a voice message such as "There has been an increase in cases of voyeurism on escalators. Please be careful."

[0024] As a response process, the monitoring device 10 displays an image of passengers on the escalator 101 photographed from above on the display device 32. For example, at this time, the monitoring device 10 displays an image photographed by the photographing device 2 on the display device 32. Passengers on the escalator 101 can view the image.

[0025] As a response process, the monitoring device 10 stores identification information for identifying a specific person from the video. For example, the identification information can be submitted to an agency such as the police. For example, the monitoring device 10 performs a response process when a specific person stored in the identification information gets on the escalator 101, even if the specific person does not perform a specific behavior.

[0026] The monitoring device 10 will be described in detail with reference to Fig. 2. As shown in Fig. 2, the monitoring device 10 includes a storage unit 11, a video processing unit 12, an analysis unit 13, a detection unit 14, and a response unit 15 as functions.

[0027] The storage unit 11 stores various types of information required for monitoring. For example, the storage unit 11 stores a people flow DB (database), an exclusion DB, and a specific DB, that is, stores each of the databases.

[0028] The people flow DB is a database that temporarily stores the identification information of people who have been photographed and identified by the photographing device 2. The people flow DB contains a person's identification information, the time when the person boarded a vehicle, and the number of times the person boarded a vehicle within a specified warning time, all associated with each other. The people flow DB may also contain the time that a person has continuously been present in a specified area, associated with the person's identification information. The people flow DB may be stored permanently or temporarily.

[0029] The exclusion DB is a database that stores excluded person information, which is identification information of excluded persons. The excluded person information is set in advance. For example, employees, security guards, etc. who work in the facility where the escalator 101 is installed are arbitrarily set as excluded persons.

[0030] The identification DB is a database that stores identification information, which is identification information of specific individuals. The identification information may be set in advance, newly added by the monitoring device 10, added from a similar monitoring device installed in another location, or added by an agency such as the police.

[0031] The video processing unit 12 processes the video captured by the camera device 2 and adds the identification information of people who appear in the captured video to the people flow DB. The video processing unit 12 adds to the people flow DB the time when the person boarded the escalator 101 from the entrance 102a and the number of times the person boarded within the warning time. Note that if the camera device 2 does not have the function to identify people, the video processing unit 12 may have the function to identify people from the video.

[0032] The image processing unit 12 detects the time that a person continuously exists in the designated area based on the image captured by the image capturing device 2. The image processing unit 12 stores the time in the people flow DB in association with the identification information.

[0033] The analysis unit 13 detects that a person has engaged in a specific behavior based on the people flow DB, i.e., based on the video captured by the camera device 2. The analysis unit 13 considers a person who has engaged in a specific behavior to be a specific person. The analysis unit 13 detects at least one of a first specific behavior and a second specific behavior. The analysis unit 13 does not detect an excluded person included in the excluded person information as a specific person, even if the person engaged in a specific behavior. The analysis unit 13 considers a person who appears in the video captured by the camera device 2 and is included in the specific information to be a specific person based on the specific information stored in the identification DB. In this case, the person included in the specific information is considered to be a specific person by the analysis unit 13 even if the person did not engage in a specific behavior.

[0034] The detection unit 14 performs a first detection process and a second detection process. In the first detection process, the detection unit 14 detects that a specific person has boarded the escalator 101 based on the video captured by the camera device 2. In the second detection process, the detection unit 14 detects, based on the video captured by the camera device 2, that another passenger is present above the specific person in the ascending direction of the escalator 101 and within a specified caution distance from the specific person. For example, the caution distance is set to a value obtained by doubling the width of the steps 104 in the traveling direction. That is, in the second detection process, it is detected that another passenger is boarding the steps 104 one or two steps above the specific person.

[0035] The response unit 15 performs the response process when boarding is detected by the detection unit 14 in the first detection process and another passenger is detected in the second detection process. Alternatively, the response unit 15 may perform the response process when boarding is detected in the first detection process.

[0036] Next, a first example and a second example of the monitoring process performed by the monitoring device 10 will be described with reference to FIGS. 3 and 4, respectively. Fig. 3 is a flowchart showing a first example of the operation performed by the monitoring system in embodiment 1. Fig. 4 is a flowchart showing a second example of the operation performed by the monitoring system in embodiment 1. In the first example, a first specific behavior is detected. In the second example, a second specific behavior is detected.

[0037] The flowchart of FIG. 3 begins with, for example, the operation of the escalator 101.

[0038] In step S01, the video processing unit 12 of the monitoring device 10 processes the video captured by the imaging device 2 and updates the information in the people flow DB. Note that the processing of step S01 continues during the operation of the flowchart.

[0039] Then, in step S02, the analysis unit 13 determines, as the first specific behavior, from the video, whether or not there is a person whose number of times riding the escalator 101 in the ascending direction within the warning time exceeds the warning count. The warning time is set to 10 minutes, 15 minutes, etc. The warning count is set to 1 time, 2 times, etc. For example, if the warning time is set to 10 minutes and the warning count is set to 2 times, a person who rides the escalator two or more times within 10 minutes and is then captured on the video near the entrance 102a is detected as performing the first specific behavior. In this case, a person who attempts to ride the escalator for the third time within 10 minutes may be considered a specific person.

[0040] In step S02, if there is no person whose number of times riding in the ascending direction exceeds the warning count, the operations from step S01 onwards are repeated.

[0041] In step S02, if the analysis unit 13 detects a person who has ridden the escalator in the upward direction more than the number of times required for warning, the operation of step S03 is performed. In step S03, the analysis unit 13 regards the person as a specific person. As a first detection process, the detection unit 14 determines whether the specific person has ridden the escalator 101 in the upward direction.

[0042] If it is determined in step S03 that the specified person is not on the escalator 101, the operations from step S01 onwards are repeated. Note that in the repeated operations from step S01 onwards, the person who was deemed to be a specified person in step S03 may remain deemed to be a specified person, or may no longer be a specified person. If a process to no longer be a specified person is performed, it is determined in step S02 whether the person remains a specified person.

[0043] In step S03, if the detection unit 14 detects that a specific person has boarded the escalator 101, the operation of step S04 is performed. In step S04, as a second detection process, the detection unit 14 determines whether or not there are other passengers within a caution distance from the specific person in the upward direction.

[0044] In step S04, if the detection unit 14 detects that another passenger is present within the caution distance from the specific person in the ascending direction, the operation of step S05 is performed. In step S05, the response unit 15 performs a response process. Thereafter, the operations from step S01 onward are repeated.

[0045] If it is determined in step S04 that no other passengers are present within the caution distance from the specific person in the ascending direction, the operations from step S01 onwards are repeated.

[0046] If the detection unit 14 detects in step S03 that a specific person has boarded the escalator 101, the operation of step S05 may be performed.

[0047] If a person corresponding to the identification information stored in the identification DB is captured in the video in step S01, the operation of step S03 may be performed without going through step S02. In this case, the person corresponding to the identification information is subject to the first detection process and the second detection process as a specific person, regardless of whether or not the person has performed the first specific behavior.

[0048] The flowchart of FIG. 4 begins with, for example, the operation of the escalator 101.

[0049] In step S11, the video processing unit 12 of the monitoring device 10 processes the video captured by the imaging device 2 and updates the information in the people flow DB. Note that the processing of step S11 continues during the operation of the flowchart.

[0050] Then, in step S12, the analysis unit 13 determines, as the second specific behavior, from the video, whether or not there is any person whose continuous presence in the designated area exceeds the staying time. For example, the staying time is set to 15 minutes, etc. In other words, staying in the designated area for 15 minutes or more is detected as the second specific behavior.

[0051] If it is determined in step S12 that no person has been present in the designated area continuously for more than the residence time, the operations from step S11 onwards are repeated.

[0052] In step S12, if the analysis unit 13 detects a person whose continuous presence in the designated area exceeds the dwell time, the operation of step S13 is performed. In step S13, the analysis unit 13 regards the person as a specific person. As a first detection process, the detection unit 14 determines whether the specific person has boarded the escalator 101 in the upward direction.

[0053] If it is determined in step S13 that the specified person is not on the escalator 101, the operations from step S11 onwards are repeated. Note that in the repeated operations from step S11 onwards, the person who was deemed to be a specified person in step S13 may remain deemed to be a specified person, or may no longer be a specified person. If a process to no longer be a specified person is performed, it is determined in step S12 whether the person remains a specified person.

[0054] In step S13, if the detection unit 14 detects that a specific person has boarded the escalator 101, the operation of step S14 is performed. In step S14, as a second detection process, the detection unit 14 determines whether or not there are other passengers within a caution distance from the specific person in the upward direction.

[0055] In step S14, if the detection unit 14 detects that there is another passenger within the caution distance from the specific person in the ascending direction, the operation of step S15 is performed. In step S15, the response unit 15 performs a response process. Thereafter, the operations from step S11 onwards are repeated.

[0056] If it is determined in step S14 that no other passengers are present within the caution distance from the specific person in the ascending direction, the operations from step S11 onwards are repeated.

[0057] If the detection unit 14 detects in step S13 that a specific person has boarded the escalator 101, the operation of step S15 may be performed.

[0058] According to the first embodiment described above, the monitoring system 1 includes the imaging device 2 and the monitoring device 10. The monitoring device 10 includes, as its functions, an analysis unit 13, a detection unit 14, and a response unit 15. The monitoring device 10 detects a specific person who has performed a specific behavior before boarding the escalator 101. When the monitoring device 10 detects that the specific person has boarded the escalator 101 in the ascending direction, the monitoring device 10 performs a response process. Generally, people who take surreptitious photographs while riding an escalator adopt a riding posture that is not conspicuous. However, such people often behave differently from normal passengers before boarding. The monitoring device 10 can detect such different behavior as a specific behavior based on the video. This can improve the accuracy of detecting people who take surreptitious photographs. Furthermore, when the monitoring device 10 detects that the specific person has boarded the escalator 101, the monitoring device 10 performs a response process to the surreptitious photograph. This can improve the deterrent effect of surreptitious photographs.

[0059] Furthermore, the analysis unit 13 detects, based on the video, a person who has ridden the escalator 101 in the ascending direction more than the number of times for which a warning has been issued within a specified warning time period as a specific person. In particular, the warning time period may be set to 10 minutes, and the number of times for which a warning has been issued may be set to two. Therefore, a person who has ridden the escalator 101 multiple times can be detected as a specific person.

[0060] Furthermore, the analysis unit 13 detects as a specific person a person who continuously exists in the specified area, i.e., a person who has stayed in the area for a period of time exceeding a specified time. Therefore, a person waiting near the entrance 102a of the escalator 101 can be detected as a specific person.

[0061] Furthermore, after detecting that a specific person has boarded the escalator 101, the detection unit 14 determines whether or not other passengers are present within a caution distance from the specific person as a second detection process. The response unit 15 performs a response process when it is determined that other passengers are present within the caution distance from the specific person. Therefore, the response process can be performed when the probability that the specific person is committing surreptitious photography increases. As a result, unnecessary implementation of the response process is suppressed.

[0062] The monitoring device 10 also has a function of a memory unit 11 that stores an exclusion DB. The related parties and the like stored in the exclusion DB are highly likely to engage in specific behavior. The analysis unit 13 does not detect the excluded persons stored in the exclusion DB as specific persons. This prevents unnecessary response processes and the like from being performed. As a result, the monitoring system 1 can improve the accuracy of detecting specific persons other than the related parties and the like. Furthermore, by preventing the response processes from being performed frequently, the monitoring system 1 can improve the deterrent effect of the response processes on voyeurism.

[0063] The monitoring device 10 also has a memory unit 11 that stores a specific database. A person who habitually engages in behavior suspected of voyeurism may repeatedly use the same escalator or escalators in a nearby area. The specific database can store identification information for people who have been deemed specific individuals on the same escalator or nearby escalators. The analysis unit 13 considers a person identified in the identification information to be a specific individual even if that person has not engaged in specific behavior. The detection unit 14 monitors the specific individual in the same way as a person who has engaged in specific behavior. Therefore, based on past detection results, it is possible to quickly detect people suspected of engaging in voyeurism. As a result, the monitoring system 1 can improve its ability to deter voyeurism.

[0064] Furthermore, the monitoring system 1 is applied to an escalator 101 that connects the ticket gate floor and the platform floor of a station. People who use such an escalator 101 generally do not stay in the same place for a long time. Furthermore, such people do not use the escalator 101 multiple times in a short period of time. In other words, people who behave in a specific way on such an escalator 101 are more likely to be committing acts of voyeurism than people in other places. By applying the monitoring system 1 to such an escalator 101, the effectiveness of the monitoring system 1 in deterring acts of voyeurism can be improved.

[0065] The monitoring system 1 also includes a speaker 31. As a response process, the response unit 15 causes the speaker 31 to emit a warning sound. This allows the monitoring system 1 to dissuade a specific person who is about to commit a voyeurism act from doing so. The monitoring system 1 can also alert a victim who is about to be voyeurized and passengers around them to the act of voyeurism.

[0066] The monitoring system 1 also includes a display device 32. As a response process, the response unit 15 causes the display device 32 to display the image captured by the image capture device 2, i.e., an image showing people riding the escalator 101 going up. If a specific person were to take a voyeuristic photograph, the image would likely show the act of voyeurism. Therefore, the monitoring system 1 can alert the victim of the voyeuristic photograph and passengers around them to the act of voyeurism. The monitoring system 1 can also dissuade a specific person who is attempting to take a voyeuristic photograph from continuing the act.

[0067] The number of warnings, the warning time, and the dwell time may be set appropriately depending on the location where escalator 101 is installed. For example, if escalator 101 is installed in a station, the number of warnings may be set to one. On the other hand, if escalator 101 is installed in a commercial facility, the number of warnings may be set to two.

[0068] The camera device 2 or the image processing unit 12 may determine whether a person is a person using AI determination. Furthermore, the camera device 2 or the image processing unit 12 may refer to the people flow DB and change the determination criteria depending on the number of times a person appears within the attention period. Specifically, the camera device 2 or the image processing unit 12 identifies a person based on the face of the person when it is first captured. The camera device 2 or the image processing unit 12 identifies a person based on the clothing of the person when it is captured the second time. The camera device 2 or the image processing unit 12 identifies a person based on distinctive features of the person's overall appearance when it is captured the third time. In this way, by reducing the information required for determination with each iteration, the monitoring system 1 can reduce the processing load of AI determination. Furthermore, the capacity of the people flow DB can be reduced.

[0069] Each function of the monitoring device 10 can be realized by a processing circuit. For example, the processing circuit includes a processor and a memory. Furthermore, for example, the processing circuit may include dedicated hardware.

[0070] Each function of the monitoring device 10 is realized by software, firmware, or a combination of software and firmware. At least one of the software and firmware is written as a program. At least one of the software and firmware is stored in memory. A processor realizes each function of the monitoring device 10 by reading and executing the program stored in the memory.

[0071] When the processing circuitry includes dedicated hardware, the processing circuitry may be implemented, for example, as a single circuit, a composite circuit, a programmed processor, a parallel programmed processor, an ASIC, an FPGA, or a combination thereof. For example, each function of the monitoring device 10 may be implemented individually by a processing circuit, or may be implemented collectively by a processing circuit. Furthermore, some of the functions of the monitoring device 10 may be implemented by dedicated hardware, and other parts may be implemented by software or firmware.

[0072] At least some of the functions of the monitoring device 10 may be implemented on a cloud server. In this case, the processing circuit is composed of multiple partial circuits. The multiple partial processing circuits are provided in multiple devices that make up the cloud server, respectively. The multiple devices that make up the cloud server may each be provided in a different building.

[0073] To summarize the above explanation, possible configurations of the technology according to the present disclosure include the configurations listed below as appendices. (Appendix 1) a photographing device that is provided so as to be able to photograph the area through which people riding on the escalator in the ascending direction pass; a monitoring device for monitoring people riding on the escalator; Equipped with The monitoring device an analysis unit that detects a specific person who has performed a specific action from the video captured by the imaging device; a detection unit that detects, from the image captured by the image capturing device, that the specific person has boarded the escalator in the ascending direction; a response unit that performs a process to respond to surreptitious photography when the detection unit detects that the specific person has boarded the escalator in the ascending direction; A monitoring system with (Appendix 2) The analysis unit detects, from the video captured by the imaging device, a person whose number of times of riding the escalator in the ascending direction within a warning time period exceeds a warning count as the specific person. 1. A monitoring system as described in Appendix 1. (Appendix 3) The attention period is set to 10 minutes, The number of warnings is set to two, 1. A monitoring system as described in Appendix 2. (Appendix 4) the photographing device is capable of photographing an area including the periphery of the entrance to the escalator, The analysis unit detects, from the video captured by the imaging device, a person whose continuous presence in a designated area set around an entrance to the escalator exceeds a dwell time as the specific person. 4. The monitoring system of any one of claims 1 to 3. (Appendix 5) the detection unit, after detecting that the specific person has boarded the escalator in the ascending direction, determines whether or not another passenger is present within a caution distance from the specific person in the ascending direction of the escalator; the response unit performs the response process when the detection unit determines that the other passenger is present within the attention distance from the specific person. 5. The monitoring system of any one of claims 1 to 4. (Appendix 6) The monitoring device a storage unit that stores excluded person information indicating excluded persons; and the analysis unit does not detect a person corresponding to the excluded person information as the specified person. 6. The monitoring system of any one of claims 1 to 5. (Appendix 7) The monitoring device a storage unit that stores person identification information; and the analysis unit considers a person appearing in the video captured by the image capture device and corresponding to the identification information as the specific person; the detection unit detects, from the image captured by the image capturing device, that the specific person has boarded the escalator in the ascending direction. 7. The monitoring system of any one of claims 1 to 6. (Appendix 8) The photographing device and the monitoring device are provided on the escalator connecting the ticket gate floor and the platform floor of the station. 8. The monitoring system of any one of claims 1 to 7. (Appendix 9) a speaker provided on the escalator to emit sound; Further provided with The response unit causes the speaker to issue a warning sound as the response process. 9. The monitoring system of any one of claims 1 to 8. (Appendix 10) a display device that is provided around the escalator and is capable of displaying images; Further provided with the corresponding unit causes the display device to display the image captured by the image capturing device as the corresponding process; 10. The monitoring system of any one of claims 1 to 9. [Explanation of symbols]

[0074] 1 monitoring system, 2 imaging device, 3 alarm device, 10 monitoring device, 11 memory unit, 12 image processing unit, 13 analysis unit, 14 detection unit, 15 response unit, 31 speaker, 32 display device, 101 escalator, 102a entrance, 102b exit, 103 main frame, 103a machine room, 104 step, 105 drive machine, 106 control device, A1 transportation space

Claims

1. a photographing device that is provided so as to be able to photograph the area through which people riding on the escalator in the ascending direction pass; a monitoring device for monitoring people riding on the escalator; Equipped with The monitoring device an analysis unit that detects a specific person who has performed a specific action from the video captured by the imaging device; a detection unit that detects, from the image captured by the image capturing device, that the specific person has boarded the escalator in the ascending direction; a response unit that performs a process to respond to surreptitious photography when the detection unit detects that the specific person has boarded the escalator in the ascending direction; A monitoring system with

2. The analysis unit detects, from the video captured by the imaging device, a person whose number of times of riding the escalator in the ascending direction within a warning time period exceeds a warning count as the specific person. The monitoring system of claim 1 .

3. The attention period is set to 10 minutes, The number of warnings is set to two. The monitoring system of claim 2 .

4. the photographing device is capable of photographing an area including the periphery of the entrance to the escalator, The analysis unit detects, from the video captured by the imaging device, a person whose continuous presence in a designated area set around an entrance to the escalator exceeds a dwell time as the specific person. The monitoring system of claim 1 .

5. the detection unit, after detecting that the specific person has boarded the escalator in the ascending direction, determines whether or not another passenger is present within a caution distance from the specific person in the ascending direction of the escalator; the response unit performs the response process when the detection unit determines that the other passenger is present within the attention distance from the specific person. A monitoring system according to any one of claims 1 to 4.

6. The monitoring device a storage unit that stores excluded person information indicating excluded persons; and the analysis unit does not detect a person corresponding to the excluded person information as the specified person. A monitoring system according to any one of claims 1 to 4.

7. The monitoring device a storage unit that stores person identification information; and the analysis unit considers a person appearing in the video captured by the image capture device and corresponding to the identification information as the specific person; the detection unit detects, from the image captured by the image capturing device, that the specific person has boarded the escalator in the ascending direction. A monitoring system according to any one of claims 1 to 4.

8. The photographing device and the monitoring device are provided on the escalator connecting the ticket gate floor and the platform floor of the station. A monitoring system according to any one of claims 1 to 4.

9. a speaker provided on the escalator to emit sound; Further provided with The response unit causes the speaker to issue a warning sound as the response process. A monitoring system according to any one of claims 1 to 4.

10. a display device that is provided around the escalator and is capable of displaying images; Further provided with the corresponding unit causes the display device to display the image captured by the image capturing device as the corresponding process; A monitoring system according to any one of claims 1 to 4.

Images