JP2005135188A - Monitoring method, monitoring system and computer program - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To quickly and simply monitor a change in the number of persons passing a passage or the like of facilities. <P>SOLUTION: A monitoring system 1 is provided with a counting processing part 32 for counting the number of walkers passing a prescribed area in a prescribed period on the basis of images photographed by an imaging part 31, a variation detection part 22 for detecting whether the number of walkers counted by the counting processing part 32 exceeds a first threshold or not or whether the number of walkers is less than a second threshold or not and a result report part 24 for reporting a result when the variation detection part 22 discriminates the number of walkers exceeds the first threshold or the number of walkers is less than the second threshold. <P>COPYRIGHT: (C)2005,JPO&NCIPI

Description

  The present invention relates to a method and system for monitoring a person or the like passing through a predetermined area.

  Administrators who manage high-traffic places such as supermarkets, underground malls, and event venues set up surveillance cameras at several locations within the facility to monitor the situation and monitor the images. The facility is being monitored.

  The supervisor or the supervisor who is requested to monitor by the manager does not constantly check such images. This is because it is a very heavy burden for the person who performs the monitoring to constantly check the video from the monitoring camera.

  Therefore, such a monitoring method is useful for quickly confirming the state of the area, for example, when receiving a trouble report, but is there no intruder at midnight or closed days when the facility is closed? It is not appropriate to obtain robust security by grasping the situation in the facility at any time, such as when monitoring whether or not the amount of people coming and going is monitored. In other words, it is difficult for the monitoring method to obtain robust security without placing a heavy burden on the person who performs monitoring.

  Therefore, a monitoring system as described in Patent Document 1 has been proposed. According to such a monitoring system, when an intruder is detected in a place where it should be unattended, the intruder can be zoomed in and photographed.

However, with such a monitoring system, it is not possible to quickly monitor changes in the amount of people coming and going so that there is no burden on the observer. Therefore, there is a risk that taking appropriate measures may be delayed when the amount of people increases rapidly.
JP 2002-245560 A

  In view of such problems, an object of the present invention is to be able to quickly and easily monitor a change in the number of persons passing through a facility passage or the like.

  The monitoring method according to the present invention is a monitoring method for monitoring an object passing through a predetermined area, wherein the objects passing through the predetermined area are counted in a predetermined period, and the number of the counted objects is a predetermined value. It is characterized by notifying when it is out of range.

  The monitoring system according to the present invention includes a counting unit that counts objects passing through a predetermined area during a predetermined length based on an image captured by a camera, and the number of the objects counted by the counting unit is A discriminating means for discriminating whether or not the first threshold value is exceeded or less than a second threshold value; and the discriminating means discriminates that the number of objects exceeds the first threshold value or the second threshold value. And a notification means for notifying that when it is determined that the value is below the threshold.

  Alternatively, when it is determined that the number of the objects exceeds the first threshold or the second threshold is less than the second threshold, the image captured by the camera is stored in a storage recording medium. Image recording processing means for starting a recording process is provided.

  Preferably, the first threshold value is set to a value larger than the number of the objects that have passed the predetermined area in any one of the predetermined length periods in the past, and the second threshold value is The value is set to be smaller than the number of the objects that have passed through the predetermined area in any one of the predetermined length periods in the past.

  When monitoring a pedestrian in the facility, the monitoring system may be configured as follows. That is, it was obtained by photographing a camera installed downward above each of the plurality of areas in the facility and the pedestrian passing through the area for a predetermined length with the camera in the area. Counting means for counting based on an image, the image obtained by photographing with the camera in the area and the number of pedestrians in the area determined by the counting means in association with each other on the monitoring screen Display means for displaying, determination means for determining whether or not the number of pedestrians counted by the counting means exceeds a first threshold value, or whether it falls below a second threshold value; and When it is determined that the number of pedestrians exceeds the first threshold value, or when it is determined that the number of pedestrians is less than the second threshold value, a notification system is configured to notify that effect. Preferably, the notification means corresponds to the area in the monitoring screen that is determined that the number of pedestrians exceeds the first threshold or that is determined to be lower than the second threshold. The notification is performed by highlighting the image.

  According to the present invention, it is possible to quickly and easily monitor changes in the number of people passing through a facility passage or the like.

  1 is a diagram showing an example of the overall configuration of the monitoring system 1, FIG. 2 is a diagram showing an example of the arrangement of the video camera 3, and FIG. 3 is a diagram showing an example of the functional configuration of the host computer 2 and the video camera 3. FIG. 4 is a flowchart illustrating an example of the flow of measurement processing, FIG. 5 is a diagram illustrating an example of an image obtained during the counting period Tm, FIG. 6 is a flowchart illustrating a variation of the flow of measurement processing, and FIG. FIG. 8 is a diagram illustrating an example of an image obtained in the period Tm, FIG. 8 is a diagram illustrating an example of count result data 71 stored in the count result storage unit 25, and FIG. 9 is a diagram illustrating an example of a monitoring screen HG1.

  As shown in FIG. 1, a monitoring system 1 according to the present invention includes a host computer 2, a video camera 3, a communication line 4, and the like. The host computer 2 and the video camera 3 are connected to each other via a communication line 4. As the communication line 4, a LAN, a public line, a dedicated line, the Internet, or the like is used.

  The monitoring system 1 is a place where a large number of people pass, such as a large store such as a supermarket or a department store, an underground mall where many specialty stores gather, a terminal building such as an airport or a station, a museum, or an event venue. used. Hereinafter, the monitoring system 1 used in the supermarket S will be described as an example.

  As shown in FIG. 2, one video camera 3 is provided for each area (area) S1, S2,... Hereinafter, these areas may be referred to as “traffic areas”. These video cameras 3 are attached to the ceiling so that the photographing direction is substantially vertically downward so that the head of a person (pedestrian) passing through the traffic area can be photographed and monitored. In other words, the floor (floor) is photographed from directly above. The zoom magnification is set so that the range from one side wall SH1 to the other side wall SH2 of the passage area falls within the photographing range so that the appearance of the pedestrian can be reliably captured.

  Each traffic area is given an area name for identifying the area. For example, “1F-No1” is given to the first passage on the first floor, “1F-No9” is given to the entrance on the first floor, and “2F-No3” is given to the third passage on the second floor. Yes. The name of the traffic area monitored by the video camera 3 is recorded in the ROM or flash memory of each video camera 3.

  As shown in FIG. 3, the video camera 3 includes an imaging unit 31, a count processing unit 32, a data transmission unit 33, a control unit 34, a recording medium 35, and the like. The control unit 34 controls the imaging unit 31, the count processing unit 32, and the data transmission unit 33 in accordance with a control signal (command) transmitted from the host computer 2.

  The image pickup unit 31 includes an image sensor such as a CCD, an optical system, and a control circuit. The image pickup unit 31 performs shooting according to a command from the control unit 34, and expresses the state of the traffic area in which the video camera 3 is installed with brightness. An image is generated and output as image data 70. As a result, the image data 70 having the number of frames (the number of frames) corresponding to the shooting speed is obtained. The obtained image data 70 is temporarily stored in a recording medium 35 such as a RAM or a flash memory.

  The count processing unit 32 performs a process of counting the number of people passing through the traffic area monitored by the video camera 3 (hereinafter may be referred to as “count process”). The counting process will be described in detail later. The data transmission unit 33 transmits data obtained by processing of each unit of the video camera 3 to the host computer 2.

  The count processing unit 32, the data transmission unit 33, and the control unit 34 are realized by a processor (control circuit). Alternatively, part or all of the processing may be performed by a computer program. In this case, the computer program is stored in a ROM or flash memory, and is executed by the CPU. The imaging unit 31 may also be configured to perform a part of processing by a computer program.

  The host computer 2 is installed in a manager room or a guard room of the supermarket S, and mainly acquires image data 70 indicating the state of each traffic area, controls the video camera 3, and the manager. Or, it is used to notify the monitoring staff about the traffic area. As the host computer 2, a personal computer or a workstation is used.

  The magnetic storage device (hard disk) of the host computer 2 includes a control unit 21, a fluctuation detection unit 22, a data reception unit 23, a result notification unit 24, a count result storage unit 25, and an image data writing unit 26 as shown in FIG. A program and data for realizing the display unit 27, the time table 28, and the like are installed. These programs and data are loaded into the RAM as required, and the programs are executed by the CPU.

  Hereinafter, processing contents of each component of the host computer 2 and the video camera 3 when monitoring changes in the number of pedestrians in each traffic area in the supermarket S will be described.

  The control unit 21 of the host computer 2 instructs each video camera 3 to count (count) the number of pedestrians who have passed through the traffic area for a predetermined period (for example, 5 minutes from 0 minutes per hour). . Hereinafter, the predetermined period may be referred to as “counting period Tm”. The counting period Tm is set in the time table 28. How to set the counting period Tm will be described later.

  Then, the counting processing unit 32 performs the counting process according to the procedure shown in the flowchart of FIG. 4 based on the image of the traffic area captured during the counting period Tm.

  For example, assume that images GA to GD as shown in FIGS. 5A to 5D are obtained in the counting period Tm. These four images are older as the left one and newer as the right one. In addition to these four images, a large number of images have been acquired, and adjacent images in FIG. 5 are not necessarily continuous frames.

  First, a background portion is removed from an image (GA to GD, etc.) using a background reference image that has been photographed in advance and does not show a person. That is, background difference processing is performed (# 101 in FIG. 4).

  An image in which the pedestrian H is captured is searched from the obtained many images in the oldest order, and an image region where the pedestrian H is present is extracted from the images. Further, an image in which the image region (that is, pedestrian H) first overlaps one of the counting lines L1 and L2 is searched (# 102). As a result, an image GB shown in FIG. 5B is obtained.

  The “counting line” is a line serving as a reference for performing counting. The counting lines L1 and L2 are set so as to be parallel to each other in the direction from the one side wall of the traffic area to the other side wall (the vertical axis direction in the image). The interval between the counting lines L1 and L2 is determined by the walking speed of the person and the shooting speed. For example, when the shooting speed is set to 30 frames per second and the walking speed of a person is assumed to be 1 to 2 m / sec, the interval between the counting lines L1 and L2 is set to about 20 cm on the floor surface of the actual traffic area. Set to correspond to. Note that two lines may be drawn in advance on the floor (floor) of the traffic area at an interval of about 20 cm, and these lines shown in the image may be used as the counting lines L1 and L2.

  Below the images GA to GD in FIG. 5, the overlapping positions of the counting lines L1 and L2 and the pedestrian H are indicated by bold lines. The thick line shown in FIG. 7 described later also indicates the overlapping position of the counting line and the pedestrian H.

  The pedestrian H should overlap the other counting line L2 immediately after exceeding the counting line L1. Further, the overlapping position should substantially coincide with the position where the overlapping position K1 between the pedestrian H and the counting line L1 is moved straight in parallel to the side wall (that is, in the traveling direction of the pedestrian H). Therefore, if the search for the image after the image GB is continued as if the pedestrian H is tracked, the image area of the pedestrian H overlaps with the other counting line L2 at the overlapping position K2 in the image GC immediately after. (# 103 in FIG. 4). At this time, the pedestrian H is counted (# 104).

  By searching for pedestrians that overlap with both the counting lines L1 and L2, the number of people who have passed through the traffic area is counted. In addition, the number of pedestrians in each traveling direction (from the right to the left of the image or in the opposite direction) can be counted based on the order of crossing the counting lines L1 and L2.

  Alternatively, the counting process may be performed in the procedure shown in the flowchart of FIG. 6 using the optical flow method instead of the background difference method.

  For example, it is assumed that a large number of images including images GE to GH as shown in FIGS. 7A to 7D are obtained in the counting period Tm. Optical flows are obtained from these images in the oldest order (# 201 in FIG. 6). While extracting the image area of the pedestrian H based on the result (# 202), the pedestrian H is tracked until the pedestrian H overlaps the count line L3 as shown in FIG. 7B (# 203). If it can be confirmed that it overlaps the counting line L3, the pedestrian H is counted and the traveling direction is obtained based on the optical flow of the pedestrian H (# 204). In this way, the number of people who have passed through the traffic area can be counted for each traveling direction.

  Hereinafter, the number of pedestrians traveling in the entrance / exit direction counted by the above-described counting process is “number of people α1”, the number of pedestrians traveling in the opposite direction is “number of people α2”, and the total of these is “number of people α0”. May be described.

  Returning to FIG. 3, the data transmission unit 33 transmits the image data 70 generated by the imaging unit 31 to the host computer 2. Further, the number of persons α0, α1, and α2 obtained by the processing of the counting processing unit 32 is transmitted to the host computer 2 as counting result data 71. Note that it is not necessary to transmit all the image data 70, and the image data 70 may be transmitted after being thinned according to the communication speed.

  The data receiving unit 23 of the host computer 2 receives the image data 70 and the count result data 71 transmitted from each video camera 3. As shown in FIG. 8, the count result storage unit 25 stores the count result data 71 for each video camera 3 in association with the traffic area and the date and time that are counted.

  Based on the image data 70 and count result data 71 transmitted from each video camera 3, the display unit 27 displays an image (video) showing the current state of each traffic area and the traffic volume on the monitoring screen HG1 in FIG. Is displayed.

  As soon as the count result data 71 is received by the data receiving unit 23, the fluctuation detecting unit 22 determines (detects) whether or not a sudden change has occurred in the number of people passing through the traffic area. That is, when any of the number of people α0, α1, and α2 indicated in the counting result data 71 exceeds the threshold value βmax, it is detected that the number of pedestrians has rapidly increased. When it falls below the threshold value βmin, it is detected that the number of pedestrians has rapidly decreased. How threshold values βmax and βmin are set and how the number of people α0, α1, and α2 are compared with threshold values βmax and βmin will be described later.

  When the change detection unit 22 detects that a sudden change has occurred in the number of people passing through the traffic area, the result notification unit 24 sends a notification to that effect and a notice to alert the supermarket S monitor, etc. Do it.

  For example, when a sudden change is detected in the first passage on the first floor, the “1F-No1” image (video) in the monitoring screen HG1 shown in FIG. Notify by. Alternatively, notification may be performed even if the image is enlarged and displayed. Notification may be performed by providing a lamp on the monitor of the host computer 2 and blinking or lighting the lamp. Notification may be performed by outputting the name of the traffic area of the traffic area by voice, or a buzzer sound may be generated. Visual notification and audio notification may be combined.

  When the monitor is traveling in the supermarket S, notification may be performed by transmitting a message to the terminal device 5 such as a mobile phone, PHS, or pager (pager) carried by the monitor. .

  When the image data writing unit 26 detects that a sudden change has occurred in the number of people passing through the traffic area, the image data writing unit 26 writes the video transmitted from the video camera 3 in the traffic area, that is, the image data 70, into the recording medium 6. To start recording (recording). As the recording medium 6, a DVD-ROM, DVD-RAM, video tape, CD-ROM, MO, hard disk, or the like is used.

  Not only the image data 70 from when the sudden change is detected, but also the image data 70 from a little before (for example, several minutes before the sudden change occurs) may be recorded. In this case, the video camera 3 transmits the image data 70 that is temporarily stored in the recording medium 35 to the host computer 2 at an appropriate timing.

  When the video camera 3 transmits the image data 70 after thinning, the video camera 3 may be instructed to stop the thinning and transmit all the image data 70. Further, the image data 70 of the traffic area in the vicinity of the traffic area where the sudden change is detected may be recorded.

  The counting period Tm and the threshold values βmax and βmin described above are variously set according to the monitoring purpose, location, time zone, day of the week, or the like. Then, the number of people α0, α1, α2 shown in the counting result data 71 is compared with the threshold values βmax, βmin according to these situations, and a sudden change in the number of pedestrians is detected.

  For example, when it is necessary to change the security system according to the number of pedestrians, the counting period Tm is set to 5 minutes, and the counting process is executed every 5 minutes. For the thresholds βmax and βmin, a value slightly increased (for example, a value of 30% increase) and a value (for example, a value of 20% decrease) that are slightly increased to the number of people α0 obtained in the immediately preceding counting process are set. Then, by comparing the number of people α0 shown in the latest counting result data 71 with the threshold values βmax and βmin, it is detected whether there is a sudden increase or decrease in pedestrians. As a result, various measures such as increasing or decreasing the number of guards immediately according to changes in the number of pedestrians, changing the arrangement, or looking around the vicinity of the traffic area to investigate the cause of a sudden increase or decrease Can be taken.

  In order to grasp the situation of pedestrian traffic in more detail, it may be detected whether or not there is a sudden change of the pedestrian in each traveling direction. That is, both the threshold value βmax and the threshold value βmin may be set for each of the people α1 and α2.

  The monitoring system 1 can also be used for marketing. For example, when it is desired to immediately adjust the amount of purchase of fresh food items or items with a short shelf life in a supermarket or the like according to the number of customers, the count period Tm is set from 0 to 15 minutes per hour, and the threshold value βmax , Βmin are set to a value slightly increased or decreased to the number of people α0 in the same time zone on the same day last week. Alternatively, the thresholds βmax and βmin are set based on the average value of the number of people α0 in the same time zone on the same day of the week up to the previous week. As a result, the store clerk can easily determine whether to increase or decrease the amount of purchase than usual.

  In a traffic area on the way to a place that is a dead end (bukurokoji), if there are too many pedestrians going to that place than there are pedestrians coming back from that place, people may concentrate on the place and trouble may occur There is. Therefore, a value slightly increased to the number of people α1 (that is, the number of people heading to the entrance / exit) indicated in the latest counting result data 71 is set as the threshold value βmax, and the number of people α2 indicated in the same counting result data 71 (that is, in the direction of the bag path) It is also possible to detect whether or not a rapid increase has occurred by comparing the number of people heading) and the threshold value βmax.

  In addition, as the threshold values βmax and βmin, the numbers α0, α1, and α2 of the previous day, the previous month, and the previous year may be used, or a constant such as “50 people” may be used. Further, it should be noted that the number of pedestrians is reduced from 4 to 2 and the number of pedestrians is reduced from 40 to 20 even if the rate of change is the same. Therefore, the threshold values βmax and βmin may be changed according to the current number of pedestrians.

  FIG. 10 is a flowchart for explaining an example of the processing flow of the monitoring system 1 when monitoring the trend of the number of pedestrians. Next, the flow of processing in the monitoring system 1 will be described with reference to a flowchart.

  In FIG. 10, when monitoring of a pedestrian is started, the host computer 2 first inputs an initial frame image of the video camera 3 at time T = T0 (# 1), and creates a brightness image of the image (# 1). # 2). If the counting process is performed by the background difference method described with reference to FIGS. 4 and 5, a background reference image is created (# 3).

  Images showing the traffic area are sequentially input from the video camera 3 (# 5). The background reference image is appropriately updated using these images (# 6). Note that the background reference image may be partially updated.

  Counting processing is executed according to the time table 28 (Yes in # 7, # 8). For example, when “from 0 to 5 minutes per hour” is set as the counting period Tm, the counting process is executed every time 0 minutes per hour. The counting process is executed using the background difference method described with reference to FIGS. 4 and 5 or the optical flow method described with reference to FIGS.

  As a result, when it is determined that there is a sudden change in the number of people passing through the traffic area (Yes in # 9), a notice to that effect and a notice to call attention are given to the monitor, etc. Recording of an image (video) showing the state of the traffic area is started (# 10).

  The result of the counting process for each traffic area and a video showing the current state are displayed on the monitor as in the monitoring screen HG1 (see FIG. 9) (# 11).

  Steps # 4 to # 11 are appropriately executed until there are no more images for counting processing, that is, until monitoring is finished (No in # 4).

  According to the present embodiment, it is possible to quickly and easily monitor the number of people passing through a facility passage and the like and the magnitude of the variation. When the magnitude of the change is abrupt, it is possible to notify the monitoring person or the like and record the video of the passage where the change has occurred. By this. In the unlikely event that there is a problem, it is possible to take immediate action, and to obtain materials for investigating the cause later. In addition, measures can be taken immediately to increase the number of customers.

  In the present embodiment, the counting processing in each traffic area is performed by the counting processing unit 32 of each video camera 3. However, the host computer 2 is provided with a function corresponding to the counting processing unit 32 and is performed collectively by the host computer 2. It may be.

  The arrangement of the video camera 3 in the facility can be changed as appropriate according to the purpose of monitoring. For example, if it is desired to monitor only the current number of people in the facility and their changes, the video camera 3 may be provided only at the entrance of the facility. Then, it is only necessary to count (count) the number of people who enter and the number of people who leave, and monitor only the fluctuations.

  In the present embodiment, as described with reference to FIGS. 4 and 5, two counting lines L1 and L2 are provided in the traffic area, and the entrance / exit direction is based on the fact that the pedestrian H has exceeded both counting lines and their order. Although the counting process of the number of persons proceeding to the number of persons and the number of persons proceeding in the opposite direction is performed, the counting process may be performed using three or more counting lines. That is, the counting process is performed based on the order in which any two of the three or more counting lines parallel to each other are exceeded. Thereby, even when some images are disturbed, the counting process can be performed more reliably. Also in the case of the counting process by the optical flow method (see FIG. 7), the counting process may be performed using a plurality of counting lines.

  The monitoring system 1 can also be used for monitoring the amount of traffic of non-human objects such as automobiles or animals.

  In addition, the configuration of the whole or each part of the monitoring system 1, the host computer 2, and the video camera 3, the setting of the counting period Tm and threshold values βmax and βmin, the comparison method of the number of people α0 to α2 and the threshold values βmax and βmin, processing contents, processing order These can be appropriately changed in accordance with the spirit of the present invention.

  According to the present invention, a facility manager or the like can immediately and easily know information related to changes in the number of pedestrians in a facility. Therefore, it can be effectively used to quickly take security measures for facilities. In addition, it is possible to inform the tenant in the facility of information related to the change in the number of pedestrians. In such a case, the monitoring system 1 can be effectively used for improving customer service.

It is a figure which shows the example of the whole structure of a monitoring system. It is a figure which shows the example of arrangement | positioning of a video camera. It is a figure which shows the example of a functional structure of a host computer and a video camera. It is a flowchart explaining the example of the flow of a measurement process. It is a figure which shows the example of the image acquired in the counting period. It is a flowchart explaining the modification of the flow of a measurement process. It is a figure which shows the example of the image acquired in the counting period. It is a figure which shows the example of the count result data memorize | stored in a count result memory | storage part. It is a figure which shows the example of the screen for monitoring. It is a flowchart explaining the example of the flow of a process of the monitoring system at the time of monitoring the tendency of the number of pedestrians.

Explanation of symbols

1 Surveillance system 3 Video camera (camera)
6 Recording medium 22 Fluctuation detector (discriminating means)
24 result notification section (notification means)
26 Image data writing unit (image recording processing means)
27 Display section (display means)
32 Counting processing unit (counting means)
HG1 monitoring screen

Claims (8)

A monitoring method for monitoring an object passing through a predetermined area,
Counting objects passing through the predetermined area in a predetermined period of time;
If the counted number of objects falls outside the predetermined range, a notification to that effect is given.
A monitoring method characterized by that. Counting means for counting objects passing through a predetermined area in a predetermined length period based on an image taken by a camera;
Discriminating means for discriminating whether or not the number of the objects counted by the counting means exceeds a first threshold value or falls below a second threshold value;
A notification means for notifying that when the number of objects is determined to be greater than the first threshold or less than the second threshold by the determination means;
A monitoring system comprising: Counting means for counting objects passing through a predetermined area in a predetermined length period based on an image taken by a camera;
Discriminating means for discriminating whether or not the number of the objects counted by the counting means exceeds a first threshold value or falls below a second threshold value;
When the determination unit determines that the number of objects exceeds the first threshold value or falls below the second threshold value, the image captured by the camera is recorded on a storage recording medium. Image recording processing means for starting processing;
A monitoring system comprising: The first threshold value is set to a value larger than the number of the objects that have passed through the predetermined area in any one of the predetermined length periods in the past, and the second threshold value is any one in the past. Set to a value smaller than the number of the objects that have passed through the predetermined area during the predetermined length of one of the two,
The monitoring system according to claim 2 or claim 3. The counting means obtains the traveling direction of the object based on a plurality of images taken by the camera at different times, and counts the number of the objects for each traveling direction.
The monitoring system according to any one of claims 2 to 4. A monitoring system for monitoring pedestrians in a facility,
A camera installed respectively downward above a plurality of areas in the facility;
Counting means for counting the pedestrian passing through the area for a predetermined length of time based on an image obtained by photographing the area with the camera;
Display means for associating and displaying the image obtained by photographing with the camera in the area and the number of pedestrians in the area obtained by the counting means on the monitoring screen;
Discriminating means for discriminating whether or not the number of the pedestrians counted by the counting means is above a first threshold or below a second threshold;
A notification means for notifying that when the number of pedestrians is determined to be greater than the first threshold or less than the second threshold by the determination means;
A monitoring system comprising: The notification means highlights the image corresponding to the area in the monitoring screen that is determined that the number of pedestrians exceeds the first threshold or that is determined to be lower than the second threshold. The notification is performed by displaying
The monitoring system according to claim 6. A computer program used in a computer for monitoring an object passing through a predetermined area,
A process of counting objects passing through the predetermined area during a predetermined length based on an image obtained by photographing with a camera installed in the predetermined area;
A process of determining whether the counted number of objects is above a first threshold or below a second threshold;
A process for notifying that when the number of objects is determined to be greater than the first threshold or less than the second threshold by the determining means;
A computer program for causing a computer to execute.

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