JP5306505B2 - Imaging processing system and control method, management server and program - Google Patents

Description

  The present invention relates to a technique for controlling imaging processing by an imaging apparatus.

  Conventionally, in a building or a room where an imaging apparatus is installed, a technique for determining a person to be imaged (for example, a suspicious person) and performing tracking imaging with the imaging apparatus has been proposed.

  With regard to such a technique, for example, a method is known in which a person such as a monitoring person identifies a person to be tracked, and a plurality of imaging devices cooperate to track the identified person (see Patent Document 1). In addition, there is known a method of sequentially assigning imaging devices to a subject to be photographed when the relationship between the number of imaging devices and the subject being photographed is changed (see Patent Document 2).

JP-A-6-325180 JP 2007-67963 A

  In general, in biometric authentication, the degree of similarity calculated by comparing biometric information read by a biometric authentication device with a template (authentic biometric information registered in advance) is compared with a preset threshold value. The pass / fail of authentication is determined by.

  FIG. 9 is a diagram showing a normalized frequency distribution of similarity. The horizontal axis is similarity and the vertical axis is frequency. The degree of similarity increases as it goes to the right, which means that the degree of matching between the two pieces of biological information to be compared is large. Whether the authentication is successful or not is determined by determining that the degree of similarity is equal to or greater than the threshold value, and that it is not matched otherwise.

  In biometric authentication, FRR (False Rejection Rate) and FAR (False Acceptance Rate) change in a trade-off manner. The FRR is the probability that the collated person is wrong or rejected if it is another person, and the FAR is the probability that the collated person is erroneous or accepting the person.

  The ratio between FRR and FAR is determined by setting a threshold value. When the threshold value is set to a small value, the FRR that erroneously rejects the person becomes low, but the FAR that accepts another person by false authentication becomes high. Conversely, if the threshold value is set to a large value, the FAR that accepts another person by false authentication is low, but the FRR that mistakenly rejects the person is large. Especially in buildings and rooms where security is important, it is necessary to improve security by monitoring the person who entered the room by false authentication by FAR.

  By the way, in the method described in Patent Document 1, since the monitoring person determines whether or not the identified person is the person who should be tracked, the monitoring person can check the user and situation of the building or room. You must be familiar. In this case, the burden on the observer is great. In addition, there is a possibility that the observer cannot make a correct judgment.

  In the method described in Patent Document 2, since the imaging device is sequentially assigned to the person to be photographed, the imaging device is assigned to another person even when the person who is currently photographing is a person who should be tracked. It is not suitable for tracking a specific person.

  In addition, in buildings and rooms where security is important, it is possible to enhance monitoring by recording video shot with an imaging device. However, if continuous recording is performed, a large amount of shooting data is accumulated. End up. Therefore, a mechanism for automatically recording only when necessary is required.

  Therefore, the present invention has been made in view of the above circumstances, and a photographing processing system and method for improving the security by controlling the photographing processing by the imaging device in accordance with the similarity calculated by biometric authentication, An object is to provide a management apparatus and a program.

In order to achieve the above object, an imaging processing system according to an aspect of the present invention is determined by a determination unit that determines the degree of similarity between biological information read from a person and biological information stored in advance. When the similarity is higher than an authentication threshold for determining success or failure of authentication and lower than a recording threshold for determining whether or not to record, it includes a person whose biometric information corresponding to the similarity is read And control means for recording a photographed image.

  According to the present invention, since the authentication accuracy of biometric authentication can be supplemented by photographing processing by the imaging device, security can be improved. In addition, the burden on the observer can be reduced.

It is a figure which shows an example of the whole structure of the imaging | photography processing system concerning one embodiment of this invention. It is a figure which shows an example of an aspect when a to-be-photographed person is changed in the imaging | photography processing system shown in FIG. It is a figure which shows an example of a structure of a computer. It is a figure which shows an example of a functional structure in each apparatus of the imaging | photography processing system shown in FIG. It is a flowchart which shows an example of the flow of operation | movement in the imaging | photography processing system shown in FIG. 6 is a diagram illustrating an example of an overall configuration of an imaging processing system according to Embodiment 2. FIG. 6 is a diagram illustrating an example of a functional configuration of each apparatus of an imaging processing system according to Embodiment 2. FIG. 10 is a flowchart illustrating an example of an operation flow in the imaging processing system according to the second exemplary embodiment. It is a figure which shows the relationship between the principal refusal rate and others acceptance rate in biometric authentication.

  Hereinafter, an embodiment of a photographing processing system and method, a management apparatus, and a program according to the present invention will be described in detail with reference to the accompanying drawings.

(Embodiment 1)
FIG. 1 is a diagram showing an example of the overall configuration of an imaging processing system according to an embodiment of the present invention.

  The room 101 is connected with a biometric authentication device 103, a door 104 with an electronic lock, imaging devices 105 to 107, a management server 108, a recording server 109, a video DB 110, and the like via a network 102 such as a LAN (Lacal Area Network). Yes.

  Note that the management server 108, the recording server 109, and the video DB (Database) 110 are only required to be communicable and may be installed either inside or outside the room 101. Each device may be in a state where communication is possible, and communication using the network 102 is not necessarily required.

  The imaging devices 105 to 107 capture a person who enters the room 101. In the imaging devices 105 to 107, one person is photographed for each imaging device. In the present embodiment, the case where three imaging devices are installed will be described as an example, but the number of installed imaging devices may be one or other number. Good.

  When entering the room 101, the biometric authentication device 103 reads the biometric information of the person entering the room 101 and performs authentication. Since the actual authentication is performed by the management server 108, the biometric authentication device 103 transmits the read biometric information to the management server 108. Note that the biometric authentication device 103 may be configured to perform authentication.

  The management server 108 manages and controls the biometric authentication device 103, the door 104 with the electronic lock, the imaging devices 105 to 107, the recording server 109, and the like. Note that a plurality of management servers may be provided according to devices to be managed and controlled.

  The door 104 with an electronic lock is normally in a locked state. The lock by the electronic lock door 104 is released when the authentication is successful. The unlocking by the electronic lock door 104 is performed based on the control from the management server 108 that has received the authentication success.

  The recording server 109 performs control to store the shooting data captured by the imaging devices 105 to 107 using the video DB. Note that recording by the recording server 109 is performed based on control from the management server 108.

  In room 101, person A, person B, person C, and person D enter the room. The similarities calculated at the time of authentication are “Value A” for person A, “Value B” for person B, “Value C” for person C, and “Value D” for person D. These similarities have a relationship of “Value A” <“Value B” <“Value C” <“Value D”. That is, person D has the highest similarity and person A has the lowest similarity. Note that the similarity is calculated based on the collation result between the biometric information read at the time of authentication when entering the room and the template information (authentic biometric information of the person registered in advance).

  The imaging devices 105 to 107 preferentially track and photograph a person with a low similarity as a subject to be photographed. This is for intensive monitoring of a highly probable person who has succeeded in authentication due to misrecognition. Here, in the present embodiment, since three imaging devices are installed and one person is tracked for each imaging device, the person A, the person B, and the person C are subject to photographing. Specifically, the imaging device 105 tracks and captures the person A, the imaging device 106 tracks the person B, and the imaging device 107 tracks the person C. Each imaging device automatically switches and shoots according to the position of the person to be photographed.

  Now, it is assumed that the person E performs authentication in order to enter the room 101. Here, when the person E performs authentication by holding the fingerprint or cornea in the biometric authentication device 103, the biometric information of the person E is read and authentication using the biometric information and the template information is performed.

  If the similarity between the biometric information and the template information exceeds a predetermined threshold (hereinafter referred to as an authentication threshold), authentication is successful. Otherwise, authentication fails. If the authentication is successful, if the number of persons to be imaged (number of persons who have already been imaged) has not reached the upper limit of the number of objects to be imaged (the upper limit of the number of persons to be imaged), the person E becomes the person to be imaged as it is. If the upper limit of the number of shooting targets has already been reached, it is determined whether or not the person E is a target for tracking shooting based on the calculated similarity “Value E”. In the present embodiment, it is assumed that “3” is set as the upper limit number of shooting targets.

  In this case, the person A, the person B, and the person C are already photographed persons, and the number of photographed persons satisfies the photographing target upper limit number “3”. For this reason, the person E becomes a person to be photographed when the similarity of the person E is lower than the similarity of the person with the highest similarity among the existing persons to be photographed. That is, if the similarity “Value E” of the person E is lower than the similarity “Value C” of the highest person C among the persons who have already been photographed, the person E is to be photographed instead of the person C. Become a person. In the present embodiment, it is assumed that “Value C” and “Value E” have a relationship of “Value E” <“Value C”.

  As a result of the comparison of the similarities, the person E becomes a subject of photographing and the person C is excluded from the subject of photographing. Specifically, as shown in FIG. 2, the person to be photographed is changed from person A, person B, and person C to person A, person B, and person E. Thereafter, the process is repeated each time a new person enters the room.

  The above is an explanation of an example of the overall configuration of the imaging processing system. Note that, for example, the computer shown in FIG. 3 is incorporated in the biometric authentication device 103, the management server 108, the recording server 109, and the like described above. The computer includes a main control unit 21 such as a CPU, and a storage unit 22 such as a ROM (Read Only Memory), a RAM (Random Access Memory), and an HDD (Hard Disk Drive). The computer also includes an input / output unit 23 such as a keyboard, mouse, display, or touch panel, a communication unit 24 such as a network card, and the like. These components are connected by a bus 25 or the like, and are controlled by the main control unit 21 executing a program (for example, a shooting control program) stored in the storage unit 22.

  Here, an example of a functional configuration of each apparatus of the imaging processing system shown in FIG. 1 will be described with reference to FIG.

  The biometric authentication device 103 includes a biometric information reading unit 31. The biometric information reading unit 31 reads biometric information of a person to be authenticated and transmits the read biometric information to the management server 108.

  The management server 108 includes a template holding unit 81, a similarity calculation unit 82, an authentication unit 83, a photographing subject determination unit 84, and an imaging control unit 85.

  The template holding unit 81 holds biometric information registered in advance (authentic) as template information. The similarity calculation unit 82 collates the biometric information read by the biometric authentication device 103 with the template information held in the template holding unit 81 and calculates the similarity.

  The authentication unit 83 performs authentication based on biometric information read from a person to be authenticated. In the authentication by the authentication unit 83, for example, if the similarity calculated by the similarity calculation unit 82 is higher than an authentication threshold set in advance, the authentication is successful.

  The person to be imaged determination unit 84 selects a person who is a person to be tracked and photographed by the imaging devices 105 to 107, and determines that person as a person to be imaged. The determination of the shooting target person by the shooting target person determination unit 84 is performed based on the similarity calculated by the similarity calculation unit 82 and the authentication threshold. However, this is not the case when the person to be photographed has not reached the upper limit number of objects to be photographed.

  The imaging control unit 85 controls imaging by the imaging devices 105 to 107. In the imaging control unit 85, for example, the imaging devices 105 to 107 are controlled, and the imaging subject determined by the imaging subject determination unit 84 is tracked and captured.

  This completes the description of the functional configuration of each device of the imaging processing system. Although the functional configurations of the biometric authentication device 103 and the management server 108 have been described, the functional configurations provided in these devices do not necessarily have to be realized as illustrated, and any one in the system. It is sufficient that all or part of the device is realized. For example, in the description of FIG. 4, the biometric authentication device 103 is configured to perform actual authentication on the management server 108 side only by reading biometric information. However, the biometric authentication device 103 performs authentication itself. Also good. In this case, the template holding unit 81, the similarity calculation unit 82, the authentication unit 83, and the like are realized in the biometric authentication device 103.

  Next, the operation flow in the imaging processing system shown in FIG. 1 will be described with reference to FIG. Here, an operation flow in the case where authentication of a person entering the room 101 and photographing thereof are performed is shown.

  This process is started when biometric information such as a fingerprint or cornea is placed over the biometric authentication device 103. When this process is started, first, the biometric information reading unit 31 of the biometric authentication device 103 reads biometric information from a person who desires to enter the room (step S101), and the read biometric information is sent to the management server 108.

  Receiving this, the management server 108 collates the biometric information with the template information held in the template holding unit 81 in the similarity calculation unit 82 (step S102), and calculates the similarity (step S103). . Then, the authentication unit 83 compares the calculated similarity with an authentication threshold set in advance.

  As a result, if the similarity is equal to or greater than the threshold (YES in step S104), the authentication is successful, and the process proceeds to step S106. If the similarity does not reach the threshold (NO in step S104), it is determined whether there is another template. If there is another template (YES in step S105), the process of step S102 is performed again. If there is no other template (NO in step S105), the process of S101 is performed again.

  When the authentication is successful, the photographing subject determination unit 84 determines whether or not the room occupant becomes a subject of the tracking photographing based on the similarity calculated in the authentication processing, and the photographing subject is determined. Is done. In this process, first, it is determined whether or not the upper limit number of tracking targets is larger than the current number of photographing subjects. When the tracking target upper limit number is larger than the number of photographing subjects (YES in Step S106), the person entering the room is determined as a photographing subject (Step S108). When that is not right (it is NO at step S106), the highest similarity in the person who has already become the imaging | photography subject is compared with the similarity of a room occupant.

  As a result of the comparison, if the similarity of the occupant is lower than the highest similarity among the persons who have already been photographed (YES in step S107), the person with the highest similarity among the persons Instead, the person who enters the room is determined as the person to be photographed (step S108).

  On the other hand, if the similarity of the room occupant is higher than the highest similarity among the persons who have already been photographed (NO in step S107), the room occupant is not a person to be photographed and is photographed. The target person remains as it is. When the person to be imaged is determined in this way, each of the image capturing apparatuses 105 to 107 is controlled by the image capturing control unit 85, and the person to be imaged is tracked (step S109). In addition, when a new occupant appears and authentication is performed, the above-described processing is performed again in order from step S101.

  The above is the description of the first embodiment. In the first embodiment, no particular mention is made as to whether or not shooting data shot by the imaging devices 105 to 107 is recorded. When recording, for example, a recording instruction or the like is sent from the management server 108 to the recording server 109 together with shooting data captured by the imaging devices 105 to 107, and recording is performed.

(Embodiment 2)
Next, Embodiment 2 will be described. FIG. 6 is a diagram illustrating an example of the overall configuration of the imaging processing system according to the second embodiment. In addition, since the thing of the same code | symbol as FIG. 1 in Embodiment 1 is the same, description may be abbreviate | omitted.

  A biometric authentication device 103, an electronic lock door 104, an imaging device 401, a management server 108, a recording server 109, a video DB (Database) 110, and the like are connected to the room 101 via a network 102 such as a LAN (Lacal Area Network). Has been.

  As in the first embodiment, the management server 108, the recording server 109, and the video DB 110 are only required to be communicable and may be installed either inside or outside the room 101. The connection form is not particularly limited.

  The imaging device 401 is equipped with a fisheye lens, and a single imaging device can shoot a plurality of people. In the present embodiment, a case where only one imaging device equipped with a fisheye lens is installed will be described as an example. However, a plurality of imaging devices 401 may be set.

  In room 101, person A, person B, and person C enter the room. The similarity calculated at the time of authentication is “Value A” for person A, “Value B” for person B, and “Value C” for person C. These similarities have a relationship of “Value A” <“Value B” <“Value C” <“Value D”. That is, person D has the highest similarity and person A has the lowest similarity. As described above, the similarity is calculated based on the collation result between the biometric information read at the time of authentication when entering the room and the template information.

  Here, in this embodiment, the presence or absence of recording is changed according to the calculated similarity. Specifically, the similarity at the time of authentication is compared with a threshold value registered in advance (hereinafter referred to as a recording threshold), and recording is performed when the similarity is smaller than the recording threshold, and otherwise There is no recording. In the present embodiment, the recording threshold value is “Value N”. For example, if the similarity and the recording threshold have a relationship of “Value N” <“Value A” <“Value B” <“Value C”, there is no person having a similarity lower than the recording threshold. Therefore, the recording process is not executed.

  Now, it is assumed that the person D performs authentication to enter the room 101. Here, when the person D performs authentication by holding the fingerprint or cornea in the biometric authentication apparatus 103, the biometric information of the person D is read, and authentication using the biometric information and the template information is performed. If the similarity between the biometric information and the template information exceeds the authentication threshold, authentication is successful. Otherwise, authentication fails. If the authentication is successful, it is determined whether or not the person D is to be recorded based on the calculated similarity “Value D”.

  If the similarity is lower than the recording threshold, recording is performed, and the recording data is accumulated in the video DB 110 by the recording server 109. At that time, recording is executed with the image quality and frame rate set at the time of recording. For example, if the degree of similarity is “Value D” <“Value N”, the person D is tracked and recorded.

  Here, an example of a functional configuration of each apparatus of the imaging processing system according to the second embodiment will be described with reference to FIG. In addition, since the thing of the same code | symbol as FIG. 4 in Embodiment 1 is the same, description may be abbreviate | omitted.

  The management server 108 includes a template holding unit 81, a similarity calculation unit 82, an authentication unit 83, an imaging control unit 85, and a recording determination unit 86. That is, the subject person determination unit 84 is removed from the configuration of FIG. 4 in the first embodiment, and a recording determination unit 86 is newly added.

  The recording determination unit 86 determines whether to record the shooting data shot by the imaging devices 105 to 107. That is, the presence or absence of recording by the recording server 109 is determined based on the determination result in the recording determination unit 86. Note that the recording determination unit 86 determines the presence or absence of recording based on the similarity calculated by the similarity calculation unit 82 and the recording similarity.

  This completes the description of the functional configuration of each device of the imaging processing system according to the second embodiment. Although the functional configurations of the biometric authentication device 103 and the management server 108 have been described, the functional configurations provided in these devices do not necessarily have to be realized as illustrated, and any one in the system. It is sufficient that all or part of the device is realized. As described in the first embodiment, for example, the template holding unit 81, the authentication unit 83, the similarity calculation unit 82, and the like may be realized in the biometric authentication device 103.

  Next, an operation flow in the imaging processing system according to the second embodiment will be described with reference to FIG. Here, an operation flow in the case where authentication of a person entering the room 101 and photographing thereof are performed is shown.

  When this processing is started, the management server 108 first sets a recording threshold, image quality, and frame rate. When biometric information such as a fingerprint or cornea is held over the biometric authentication device 103 by a person who wants to enter the room, the biometric information reading unit 31 of the biometric authentication device 103 reads the biometric information from the person who wants to enter the room (step S202). The read biometric information is sent to the management server 108.

  Receiving this, the management server 108 collates the biometric information with the template information held in the template holding unit 81 in the similarity calculation unit 82 (step S203), and calculates the similarity (step S204). . Then, the authentication unit 83 compares the calculated similarity with an authentication threshold set in advance.

  As a result, if the similarity is equal to or greater than the threshold value (YES in step S205), the authentication is successful and the process proceeds to step S206. If the similarity does not reach the threshold (NO in step S205), it is determined whether there is another template. If there is another template (YES in step S206), the process of step S203 is performed again. If there is no other template (NO in step S206), the process of S202 is performed again.

  When the authentication is successful, the recording determination unit 86 determines whether or not the room occupant is a recording target person based on the similarity calculated in the authentication process. In this process, the recording threshold set in step S201 is compared with the similarity calculated in step S204. If the similarity is smaller than the recording threshold (YES in step S207), the video imaged by the imaging device 401 is recorded in the recording server 109 (step S208). At this time, the shooting data is recorded with the image quality and frame rate set in step S201.

  On the other hand, if the similarity is equal to or higher than the recording threshold (NO in step S207), the recording is not performed for the room occupant, and this process is terminated as it is. The image quality and frame rate of the shooting data may be adjusted by performing shooting based on the information on the imaging device 401 side, or the shooting data may be processed on the recording server 109 side based on the information. You may make it adjust by doing. In the former case, the image quality and frame rate are transmitted from the management server 108 to the imaging device 401, and in the latter case, the image quality and frame rate are transmitted from the management server 108 to the recording server 109. Become.

  The above is the description of the second embodiment. In addition, you may make it mount a fisheye lens in the imaging device in Embodiment 1. FIG.

  In the second embodiment, the image quality and the frame rate of the shooting data are set at the beginning and are constant. However, the present invention is not limited to this. You may make it change at least 1 of the image quality of a picked-up data, a frame rate, recording time, etc. according to the similarity of a resident. For example, the lower the similarity, the higher the image quality and frame rate, and the longer the recording time.

  The above is an example of a typical embodiment of the present invention, but the present invention is not limited to the embodiment described above and shown in the drawings, and can be appropriately modified and implemented without departing from the scope of the present invention. .

  It should be noted that the present invention can take the form of, for example, a system, apparatus, method, program, or recording medium. Specifically, the present invention may be applied to a system composed of a plurality of devices, or may be applied to an apparatus composed of a single device.

  Further, the present invention achieves the functions of the embodiments by supplying a software program directly or remotely to a system or apparatus, and reading and executing the supplied program code by a computer incorporated in the system or apparatus. This includes cases where

  Accordingly, since the functions of the present invention are implemented by computer, the program code installed in the computer also implements the present invention. In other words, the present invention includes a computer program itself for realizing the functional processing of the present invention. In that case, as long as it has the function of a program, it may be in the form of object code, a program executed by an interpreter, script data supplied to an OS (Operating System), or the like.

  Examples of the computer-readable recording medium for supplying the computer program include the following. For example, floppy (registered trademark) disk, hard disk, optical disk, magneto-optical disk, MO, CD-ROM, CD-R, CD-RW, magnetic tape, nonvolatile memory card, ROM, DVD (DVD-ROM, DVD- R).

  As another program supply method, a client computer browser is used to connect to a homepage on the Internet, and the computer program of the present invention is downloaded from the homepage to a recording medium such as a hard disk. In this case, the downloaded program may be a compressed file including an automatic installation function. It can also be realized by dividing the program code constituting the program of the present invention into a plurality of files and downloading each file from a different homepage. That is, a WWW server that allows a plurality of users to download a program file for realizing the functional processing of the present invention on a computer is also included in the present invention.

  Further, the program of the present invention may be encrypted, stored in a recording medium such as a CD-ROM, and distributed to users. In this case, a user who has cleared a predetermined condition is allowed to download key information for decryption from a homepage via the Internet, execute an encrypted program using the key information, and install the program on the computer. You can also.

  In addition to the functions of the above-described embodiment being realized by the computer executing the read program, the embodiment of the embodiment is implemented in cooperation with an OS or the like running on the computer based on an instruction of the program. A function may be realized. In this case, the OS or the like performs part or all of the actual processing, and the functions of the above-described embodiments are realized by the processing.

  Furthermore, the program read from the recording medium is written in a memory provided in a function expansion board inserted into the computer or a function expansion unit connected to the computer, so that part or all of the functions of the above-described embodiments are realized. May be. In this case, after the program is written to the function expansion board or function expansion unit, the CPU (Central Processing Unit) or the like provided in the function expansion board or function expansion unit is a part of the actual processing or based on the instructions of the program. Do everything.

DESCRIPTION OF SYMBOLS 21 Main control part 22 Memory | storage part 23 Input / output part 24 Communication part 25 Bus 31 Biometric information reading part 81 Template holding part 82 Similarity calculation part 83 Authentication part 84 Shooting subject determination part 85 Imaging control part 86 Recording judgment part 101 Room 102 Network 103 Biometric authentication device 104 Door with electronic lock 105, 106, 107, 401 Imaging device 108 Management server 109 Recording server 110 Video DB

Claims (10)

Determination means for determining the degree of similarity between biometric information read from a person and biometric information stored in advance;
When the similarity determined by the determination unit is higher than an authentication threshold for determining success or failure of authentication and lower than a recording threshold for determining whether to record, biometric information corresponding to the similarity And a control means for recording a photographed image including the person whose image has been read. The control means includes
At least one of the first similarity based on the first biological information read from the first person and the second similarity based on the second biological information read from the second person is The imaging processing system according to claim 1, wherein the recording is performed when the value is between the authentication threshold and the recording threshold. The control means includes
The imaging processing system according to claim 1, wherein at least one of a frame rate and image quality at the time of recording is changed according to the similarity determined by the determination unit. The control means includes
The imaging processing system according to claim 1, wherein a recording time after the similarity is determined is determined according to the similarity determined by the determination unit. A control method for a photographing processing system,
A determination step for determining a similarity between the biological information read from the person and the biological information stored in advance;
When the similarity determined in the determination step is higher than an authentication threshold for determining success or failure of the authentication and lower than a recording threshold for determining whether to record, the control means sets the similarity to And a control step of recording a photographed image including a person whose corresponding biometric information is read.   In the control step,
  At least one of the first similarity based on the first biological information read from the first person and the second similarity based on the second biological information read from the second person is If it is between the authentication threshold and the recording threshold, the recording is performed
  The method of controlling a photographing processing system according to claim 5. Computer
Determination means for determining the degree of similarity between biometric information read from a person and biometric information stored in advance;
When the similarity determined by the determination unit is higher than an authentication threshold for determining success or failure of authentication and lower than a recording threshold for determining whether to record, biometric information corresponding to the similarity Control means for recording a photographed image including a person whose image has been read;
Program to function as.   The control means includes
  At least one of the first similarity based on the first biological information read from the first person and the second similarity based on the second biological information read from the second person is If it is between the authentication threshold and the recording threshold, the recording is performed
  The program according to claim 7, wherein: Determination means for determining the degree of similarity between biometric information read from a person and biometric information stored in advance;
When the similarity determined by the determination unit is higher than an authentication threshold for determining success or failure of authentication and lower than a recording threshold for determining whether to record, biometric information corresponding to the similarity And a control means for recording a photographed image including a person whose character has been read.   The control means includes
  At least one of the first similarity based on the first biological information read from the first person and the second similarity based on the second biological information read from the second person is If it is between the authentication threshold and the recording threshold, the recording is performed
  The management server according to claim 9.

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