JP2019194875A - Collation system - Google Patents

Abstract

To solve erroneous recognition of an object passing through a gate and a constant load on processing of an information processing apparatus.SOLUTION: A collation system according to the present invention has acquiring means for acquiring a captured image for a passage front side area relative to a gate, extracting means for extracting, from the captured image, a face area of a person as a processing target, detecting means for detecting, from the extracted face area, a distance between the eyes of the person, collation means for, if the distance between the eyes satisfies a predetermined condition, commencing collation processing as to the pre-registered person and the person in the captured image, and determining means for determining whether or not the person can pass through the gate based on the result of the collation processing.SELECTED DRAWING: Figure 12

Description

  The present invention relates to a collation system, and more particularly to a collation system that collates an object about to pass through a gate.

  As a means for restricting and managing the persons who enter and leave a specific place such as an office or an event venue, a collation system that collates whether or not the person to be passed is a person registered in advance is used. In particular, in recent years, with the development of human face authentication technology, a walk-through face authentication system that performs face authentication from a human face image taken by a camera installed at a gate is used.

JP2015-1790A

  Here, in the walk-through face authentication system, there are cases where a plurality of gates are adjacent to each other and lanes through which a person heading to each gate passes are adjacent. In this case, a person heading for an adjacent gate in an adjacent lane may be reflected in an image of a person passing through a lane of a certain gate. Then, a person passing through an adjacent lane may be misrecognized as a person passing through the own lane, which may hinder verification of a person passing through the own gate ahead of the own lane. For this reason, in the situation where a plurality of gates are installed, it is required to suppress erroneous recognition of a person heading to each gate.

  Moreover, there exists a technique of patent document 1 as a technique relevant to a walk-through face authentication system. Japanese Patent Application Laid-Open No. 2004-151867 raises a problem that authentication is completed when a person is far from the gate, and the gate is opened before the person reaches the gate. And in order to solve such a problem, in Patent Document 1, the face image of the photographed person and the registered face image are collated, and based on the size of the collated person on the input image, to the person's gate. The approach of is detected.

  However, in Patent Document 1, collation processing is performed on all the persons displayed in the input image, and then the approach of the person who succeeds in collation is detected. Therefore, there arises a problem that the processing load of the collation process is always applied to the information processing apparatus.

  In addition, the above-described problem of misrecognition of a person heading to each gate and the problem that the information processing device is constantly subjected to the processing load of the collation process are not limited to the case where the object passing through the gate is a person, It can also occur when collating.

  For this reason, the object of the present invention is to solve the above-mentioned problems of misrecognizing an object to be passed through a gate and the problem that a processing load is always applied to the information processing apparatus. It is to provide a collation system that can.

The collation system which is one form of the present invention,
Imaging means for acquiring a photographed image of the pre-passage area with respect to the gate;
Collating means for performing collation processing between the pre-registered object and the object in the captured image;
Based on the result of the collation process, a determination unit that determines whether the object can pass through the gate;
With
The collation means starts the collation process based on a condition for the target located in the region set for each region of the captured image.
The configuration is as follows.

In addition, an information processing apparatus which is one embodiment of the present invention
Collating means for performing collation processing between the target in the captured image of the pre-passage area with respect to the gate and the target registered in advance;
Based on the result of the collation process, a determination unit that determines whether the object can pass through the gate;
With
The collation means starts the collation process based on a condition for the target located in the region set for each region of the captured image.
The configuration is as follows.

In addition, a program which is one embodiment of the present invention is
In the information processing device,
Collating means for performing collation processing between the target in the captured image of the pre-passage area with respect to the gate and the target registered in advance;
Based on the result of the collation process, a determination unit that determines whether the object can pass through the gate;
Is a program for realizing
The collation means starts the collation process based on a condition for the target located in the region set for each region of the captured image.
The configuration is as follows.

Moreover, the collation method which is one form of this invention is the following.
Information processing device
Perform a collation process between the target in the captured image of the pre-passage area with respect to the gate and the target registered in advance.
It is a method for determining whether or not the object can pass through the gate based on the result of the matching process,
The information processing apparatus starts the matching process based on a condition for the target located in the region set for each region of the captured image.
The configuration is as follows.

  By being configured as described above, the present invention can suppress misrecognition of an object that attempts to pass through a gate, and suppress unnecessary verification processing to reduce the processing load on the information processing apparatus. Can do.

It is a figure which shows the use condition of the face authentication system in Embodiment 1 of this invention. It is a block diagram which shows the structure of the face authentication system in Embodiment 1 of this invention. It is a figure which shows the imaging condition by the face authentication system disclosed in FIG. It is a figure which shows the picked-up image image | photographed in the imaging condition of FIG. 3 with the face authentication system disclosed in FIG. It is a figure which shows the imaging condition by the face authentication system disclosed in FIG. It is a figure which shows the picked-up image image | photographed in the imaging condition of FIG. 5 with the face authentication system disclosed in FIG. It is a flowchart which shows the processing operation by the face authentication system disclosed in FIG. It is a figure which shows the imaging condition by the face authentication system in Embodiment 2 of this invention. It is a figure which shows the picked-up image image | photographed in the imaging condition of FIG. 8 with the face authentication system in Embodiment 2 of this invention. It is a figure which shows the imaging condition by the face authentication system in Embodiment 2 of this invention. It is a figure which shows the picked-up image image | photographed in the imaging condition of FIG. 10 with the face authentication system in Embodiment 2 of this invention. It is a block diagram which shows the structure of the collation system in Embodiment 3 of this invention. It is a block diagram which shows the structure of the information processing apparatus in Embodiment 3 of this invention.

<Embodiment 1>
A first embodiment of the present invention will be described with reference to FIGS. FIG. 1 is a diagram illustrating a usage state of the face authentication system. FIG. 2 is a diagram illustrating the configuration of the face authentication system. 3 to 7 are diagrams for explaining the processing operation of the face authentication system.

[overall structure]
The face authentication system 10 (collation system) according to the present invention is a system used to limit or manage entry / exit of a person (target) in a specific place such as an office or an event venue. For example, the imaging device constituting the face authentication system 10 is installed in the vicinity of the gate location for each gate that is opened and closed when a person enters and exits.

  In the example shown in FIG. 1, three gates G1, G2, G3 are arranged adjacent to each other in parallel, and a person passes in the direction indicated by the arrow from the right side of FIG. 1 toward each gate G1, G2, G3. It is configured to For this reason, the right area of FIG. 1 with respect to each gate G1, G2, G3 is a front area (pre-passage area) where a person passes through the gate. In the pre-passage region of each gate G1, G2, G3, each lane R1, R2, R3 through which a person who wants to pass through each gate G1, G2, G3 passes side by side has each gate G1, G2, Corresponding to G3, they are located in parallel. Each lane R1, R2, R3 may be partitioned by some member or may not be partitioned.

  In the situation shown in FIG. 1, the imaging devices C1, C2, and C3 constituting the face authentication system 10 in the present embodiment are in the vicinity of the corresponding gates G1, G2, and G3, and the persons heading to the gates G1, G2, and G3. It is installed on the right side. However, the installation position of the imaging device is not limited to the position shown in FIG. 1, and may be installed at any position such as the left side of the gate or above the gate. Note that the face authentication system 10 also includes a display device in the vicinity of the imaging devices C1, C2, and C3.

  Then, for example, in the gate G1, the face authentication system 10 captures an image of a person heading for the gate G1 with the imaging device C1 equipped. Then, from the face image of the person shown in the photographed image, it is verified whether or not the person is a person registered in advance. If the verification is successful, the gate G1 is opened so that the person can pass. Hereinafter, the configuration of the face authentication system 10 will be described in detail. Hereinafter, the face authentication system 10 installed corresponding to the gate G1 will be described, but the face authentication system installed corresponding to the other gates G2 and G3 has the same configuration.

[Face recognition system configuration]
The face authentication system 10 according to the present embodiment is an information processing apparatus that includes an arithmetic device and a storage device that are integrated with an imaging device C1 (camera) and a display device D1 (display). In other words, the information processing apparatus including the arithmetic device and the storage device that perform face authentication processing and the display device D1 are mounted on the imaging device C1. However, the face authentication system 10 is not necessarily limited to being configured integrally with the imaging device C1 and the display device D1. For example, the imaging device C1, the display device D1, and the information processing device that processes the captured image may be configured as separate devices, and may be installed at different locations.

  Specifically, as shown in FIG. 2, the face authentication system 10 includes an imaging device C <b> 1 and a display device D <b> 1, and an object extraction unit 11 constructed by an arithmetic device executing a program, and a condition determination unit 12. And a collation unit 13 and a gate control unit 14. The face authentication system 10 also includes a collation condition storage unit 15 and a collation data storage unit 16 that are built in a storage device.

  The imaging device C1 (imaging means) includes a camera and a camera control unit that acquire a photographed image of a pre-passage area with respect to the gate G1, that is, a captured image of the corresponding area in front of the gate G1 of the lane R1 at a predetermined frame rate. is there. For example, as illustrated in FIG. 3, the imaging device C <b> 1 has a shooting area in a range sandwiched by the C <b> 1 a line. At this time, the imaging is performed so that the person P10 who passes through the lane R1 (own lane) corresponding to the gate G1 where the imaging device C1 is located is located in the central area in the horizontal direction sandwiched by the line C1b in the imaging area. The imaging area of the device C1 is set. Note that the captured image is set so as to be substantially in focus within a predetermined distance range in the perspective direction with respect to the imaging device C1, for example, a distance between the line L1 and the line L2 shown in FIG.

  As described above, the imaging region of the imaging device C1 is set, so that, in the imaging region, in the end region in the horizontal direction with respect to the central region that is sandwiched between the code C1a line and the code C1b line. In the situation shown in FIG. 3 and FIG. 4, a person P20 who passes through the lane R2 corresponding to the adjacent gate G2 may appear. Further, in the situation shown in FIGS. 5 and 6, the person P12 located in the own lane R1 corresponding to the own gate G1 where the imaging device C1 is installed may be displayed in the end region. Even when such a situation occurs, the face authentication system 10 of the present invention appropriately recognizes the person P12 who is going to pass through the own gate G1 and determines whether or not the gate can pass through, as will be described below. The determination is possible, and the processing load is further reduced.

  The target extraction unit 11 (target information detection means) obtains a captured image from the imaging device C1 and uses determination information (target information) used to determine whether or not to start collation processing as follows, for example. To detect. First, the face area of a person to be processed is extracted from the captured image. The extraction of the person's face area is performed, for example, by determining the position or color of the moving person relative to the whole image. Then, the target extraction unit 11 detects the characteristics of the person as the determination information from the face area. In this embodiment, the characteristic as the determination information is the distance between eyes of a person (inter-eye distance), and is detected as indicated by reference numerals d10, d20, and d12 as shown in FIGS. However, the method for detecting the distance between eyes is not limited to the method described above, and any method may be used. As will be described later, the determination information may be other information representing the characteristics of a person, and may be detected by any method.

  The condition determination unit 12 (collation unit) determines whether or not the distances between eyes d10, d20, and d12, which are the characteristics of the person as the determination information detected by the target extraction unit 11, satisfy the condition for starting the collation process. Determine. Here, in the present embodiment, the condition for starting the collation process is set to a value that is different for each region where a person is located in the captured image, that is, a value that is different between the central region and the end region in the captured image. Such values are stored in advance in the matching condition storage unit 15. For example, as the value Tc of the condition corresponding to the central area of the photographed image, a value is set such that the distance between the eyes of the person always exceeds when the person is located in the lane R1 of the own gate G1. On the other hand, as the condition value Te corresponding to the edge region of the captured image, a value larger than the condition value Tc set in the central region is set (Te> Tc). As an example, as the condition value Te corresponding to the end region, as shown in FIGS. 5 and 6, the distance Te <b> 12 between the eyes P <b> 12 of the person P <b> 12 located in the lane R <b> 1 of the own gate G <b> 1 and closer to the imaging device 1. As shown in FIGS. 3 and 4, a small value is set so as to be larger than the inter-eye distance d20 of the person P20 located in the adjacent lane R2.

  In the above situation, the condition determination unit 12 sets the inter-eye distances d10, d20, and d12, which are the characteristics of the person as the determination information, to condition values (Tc or It is determined whether or not Te) is exceeded. For example, in the case of FIGS. 3 and 4, for the person P10 located in the central area of the captured image, it is determined whether the inter-eye distance d10 exceeds the condition value Tc set in the central area. For the person P20 located in the end area of the photographed image, it is determined whether or not the distance d20 between the eyes exceeds the value Te of the condition set in the end area. Similarly, in the case of FIGS. 5 and 6, for the person P10 located in the central area of the photographed image, it is determined whether the inter-eye distance d10 exceeds the condition value Tc set in the central area. For the person P12 located in the end area of the captured image, it is determined whether the inter-eye distance d12 exceeds the value Te of the condition set in the end area. In the example of FIGS. 3 and 4, the person P10 in the central region satisfies the condition, and the person P20 in the end region does not satisfy the condition. In the example of FIGS. 5 and 6, the person P10 in the central region satisfies the condition, and the person P12 in the end region also satisfies the condition.

  When the collation unit 13 (collation unit) determines that the distance between the eyes of the person exceeds the condition value set in the area where the person is located, that is, the condition is satisfied, by the condition determination unit 12 Then, the collation process for the person is started. In other words, the collation unit 13 does not perform collation processing for a person who does not satisfy the condition in the condition determination unit 12. Here, the collation process is performed as follows, for example. First, a feature amount necessary for collation is generated from the face area of a person to be collated. Then, a collation score such as a similarity between the generated feature amount and the feature amount of the person registered in the collation data storage unit 16 in advance is calculated, and it is determined whether the collation score is higher than a threshold value. If the matching score is higher than the threshold value, it is determined that the matching is successful, and the person who is going to pass through the gate G1 is determined to be a person registered in advance. At this time, the feature amount of the person detected for matching may be a feature amount used in the existing face matching technique, or may be a feature amount calculated by any method. The collation method may be any method.

  The gate control unit 14 (determination means) first determines whether or not a person can pass through the gate G1 based on the collation result by the collation unit 13. Specifically, it is determined that a person who has been verified by the verification unit 13 can pass. Further, the gate control unit 14 has a function of displaying the collation result, that is, the success or failure of the collation, on the display device D1. Furthermore, the gate controller 14 also has a gate control function for opening and closing the gate G1, and controls the gate G1 to be opened for a person who is determined to be able to pass through.

  In addition, the display device D1 is disposed with a display surface facing a pre-passage region of the gate G1 so that a person who wants to pass through the gate G1 is visible. However, the display device D1 is not necessarily equipped.

[Operation]
Next, the operation of the face authentication system 10 described above will be described with reference to the flowchart of FIG. Here, the operation of the face authentication system 10 corresponding to the gate G1 will be described, and the case where the shooting situation by the imaging device C1 is the situation shown in FIGS. 3 to 6 will be described as an example.

  The imaging device C1 corresponding to the gate G1 continues to capture an image of the region before passing through the gate G1. Then, the face authentication system 10 always performs the following processing on the captured image.

  First, the target extraction unit 11 extracts a person (target) to be processed from the captured image (step S1). Then, from the extracted person, the feature of the person as determination information necessary for performing the condition determination for starting the collation process, here, the distance between the eyes of the person is detected (step S2). For example, detection is performed as indicated by reference signs d10 and d20 in FIG. 4 and reference signs d10 and d12 in FIG.

  Subsequently, the condition determination unit 12 determines whether or not the distance between eyes, which is the detected determination information, satisfies a condition for starting the matching process. At this time, since the condition value is set for each region where the person is located, the condition value corresponding to the person's position is read from the collation condition storage unit 15, and the detected distance between the eyes is the condition value. It is determined whether or not it exceeds (step S3). 3 and 4, it is determined that the inter-eye distance d10 of the person P10 located in the central area of the captured image exceeds the condition value Tc set in the central area. Then, it is determined that the inter-eye distance d20 of the person P20 located in the end region of the captured image does not exceed the condition value Te set in the end region that is a value larger than the value Tc. For this reason, it is determined that only the person P10 satisfies the condition for starting the collation process (Yes in step S3). In the example of FIGS. 5 and 6, it is determined that the inter-eye distance d10 of the person P10 located in the central area of the photographed image exceeds the condition value Tc set in the central area. Then, it is determined that the inter-eye distance d12 of the person P12 located in the end region of the captured image exceeds the condition value Te set in the end region. For this reason, in the example of FIG.5 and FIG.6, it determines with person P10 and person P12 satisfy | filling the conditions which start a collation process (Yes in step S3).

  Subsequently, the collation unit 13 starts collation processing for the person determined by the condition determination unit 12 that the distance between eyes exceeds the condition value set for each region (step S4). 3 and FIG. 4, the collation process for only the person P10 is started. In the examples of FIG. 5 and FIG. 6, the collation process for the person P10 and the person P12 is started. In the collation process, first, a feature quantity necessary for collation is detected from the face area of the person to be collated, and collated with the feature quantity of the person registered in advance in the collation data storage unit 16 to obtain a collation score. To do. And it is determined whether a collation score is more than a threshold value. In the example of FIGS. 5 and 6, the person P10 and the person P12 are to be collated, but the collation process is started with priority given to the person P12 having a larger interocular distance as the determination information, as will be described later. It may be possible to determine whether or not to pass and to open and close the gate.

  As a result of the verification process by the verification unit 13, if the verification of the person who is going to pass is successful (Yes in step S5), the gate control unit 14 (determination means) permits the passage of the person to the gate G1 and opens the gate G1. Control (step S6). At this time, the gate control device 14 displays whether the passage is possible on the display device D1.

  As described above, according to the face authentication system 10 of the present embodiment, it is possible to suppress the matching process for the person P20 who is going to pass through the adjacent gate G2, and to appropriately match the persons P10 and P12 who are going to pass through the own gate G1. can do. For example, in the example of FIGS. 3 and 4, the person P10 who is going to pass through the own gate G1 is collated, but the person P20 who is going through the adjacent gate G2 is not collated. In the example of FIGS. 5 and 6, even the person P12 shown in the end region of the captured image is about to pass through the own gate G1, and therefore the matching process is appropriately performed. As a result, it is possible to suppress erroneous recognition of a person who tries to pass through another gate, and to suppress unnecessary verification processing and reduce the processing load on the information processing apparatus.

  In the above, the case where the region in the captured image is divided into the central region and the end region in the horizontal direction is illustrated, but may be divided into other regions. Even in this case, a condition for starting the collation process is set for each region.

  Moreover, although the case where the determination information that is a feature of the person to be compared with the value of the condition for starting the matching process is the distance between the eyes has been exemplified above, the determination information is between the other parts constituting the person's face. It may be a distance or a value representing the size of another part of the person. In response to this, the value of the condition for starting the collation process is also set for each region in the captured image.

  Moreover, although the case where the object which is going to pass through the gate G1 was a person was illustrated above, it is not limited to a person and may be any object. For example, it may be an object such as luggage. Accordingly, the determination information indicating the feature to be compared with the value of the condition for starting the collation process may be information indicating any feature that can be detected from the object. In addition, when performing the matching process, any feature amount that can be detected from the object may be used.

<Embodiment 2>
Next, a second embodiment of the present invention will be described with reference to FIGS. 8 to 11 are diagrams for explaining the processing operation of the face authentication system.

  The face authentication system 10 in the present embodiment has the same configuration as that in the above-described first embodiment, but has different criteria for determining whether or not a condition for starting the collation process is satisfied. That is, in this embodiment, the orientation of the person with respect to the gate G1 is detected from the captured image as determination information, and the collation processing is started when the determination information satisfies the conditions set for each region of the captured image. . Hereinafter, the configuration different from the first embodiment will be mainly described in detail.

  The target extraction unit 11 (target information detection unit) in the present embodiment first extracts a face area of a person to be processed from the captured image. Then, the target extraction unit 11 detects the orientation of the person's face with respect to the own gate G1 as the feature of the person, which is determination information used for determining whether to start the collation process. Specifically, as the determination information, an angle at which the front of the face faces the optical axis A1 of the imaging device C1 is detected. For example, parts such as eyes, nose, and mouth constituting a human face are extracted, the absolute orientation of the front of the face is detected from the positional relationship, and the imaging device C1 is determined from the installation angle of the imaging device C1. It is possible to detect the angle at which the face is facing. The face orientation may be detected by any method.

  Then, the condition determination unit 12 (collation unit) in the present embodiment is a collation process in which the angle of the face facing the imaging device C1, which is the determination information detected by the target extraction unit 11, is set for each region of the captured image. It is determined whether or not a condition for starting is satisfied. In the present embodiment, the condition for starting the collation process is set to different values for the central area and the end area in the horizontal direction in the captured image, and such values are stored in the collation condition storage unit 15 in advance. Has been.

  Here, a description will be given of the condition values set in correspondence with the center area and the edge area of the captured image. As shown in FIGS. 8 and 9, the person P10 located in the center area of the captured image and heading toward the own gate G1 is highly likely to face the shooting direction of the imaging device C1. For this reason, the angle formed by the direction of the optical axis A1 of the imaging device C1 of the person P10 and the direction in which the front of the face faces is highly likely to be extremely small. On the other hand, since the person P20 that is located in the edge region of the captured image and heads for the adjacent gate G2 is likely to face the shooting direction of the imaging device C2 installed in the gate G2, the shooting of the imaging device C1 is performed. It is likely that you are not facing the direction. For this reason, there is a high possibility that the angle between the direction of the optical axis A1 of the imaging device C1 of the person P20 and the direction of the face is extremely large.

  In addition to the above, as shown in FIG. 10 and FIG. 11, in the case of the person P12 heading to the own gate G1 even if it is located in the end region of the captured image, there is a possibility that it is facing the imaging direction of the imaging device C1. Is expensive. For this reason, the angle formed by the direction of the optical axis A1 of the imaging device C1 of the person P12 and the direction of the face is likely to be smaller than the angle of the person P20 located in the lane R2 of the adjacent gate G2.

  In consideration of the above, first, it is assumed that the value of the condition corresponding to the central region of the photographed image has a very small angle that is a characteristic of the person P10 heading to the own gate G1 located in the central region. Therefore, it is set to a small value that includes such an angle. For this reason, for example, the value of the condition corresponding to the central region is set to 10 ° or the like. On the other hand, the value of the condition corresponding to the edge area of the captured image is set larger than the value of the condition corresponding to the central area. This is because the angle, which is the determination information of the person P12 heading to the own gate G located in the end area, is expected to be larger than the person P10 in the central area. However, the value of the condition corresponding to the end region is set to a value smaller than the angle assumed by the person P20 of the adjacent gate G2. For this reason, for example, the value of the condition corresponding to the end region is set to 60 ° or the like. However, the value of the condition is not limited to the value described above, and is set as appropriate according to the situation such as the arrangement of the gates.

  In the above situation, the condition determination unit 12 determines whether the face angle with respect to the imaging device C1, which is a feature of the person as the determination information, is equal to or less than the value of the condition set in the region in the captured image where the person is located. Determine whether or not. For example, in the case of FIGS. 8 and 9, it is determined whether the angle of the person P10 located in the central area of the captured image is equal to or less than the value of the condition set in the central area. For the person P20 located in the position, it is determined whether the angle is equal to or smaller than the value of the condition set in the end region. Similarly, in the case of FIGS. 10 and 11, for the person P10 located in the central area of the captured image, it is determined whether the angle is equal to or less than the value of the condition set in the central area. For the person P12 located in the area, it is determined whether the angle is equal to or smaller than the value of the condition set in the end area. 8 and 9, the person P10 in the central area satisfies the condition, and the person P20 in the end area does not satisfy the condition. In the example of FIGS. 10 and 11, the person P10 in the central region satisfies the condition, and the person P12 in the end region also satisfies the condition.

  When the condition determination unit 12 determines that the angle of the person with respect to the imaging device C1 is equal to or less than the value of the condition set in the region where the person is located, that is, the condition is satisfied, The collation process for such a person is started. In other words, the collation unit 13 does not perform collation processing for a person who does not satisfy the condition in the condition determination unit 12.

  As described above, according to the face authentication system 10 of the present embodiment, it is possible to suppress verification processing for a person who is about to pass through the adjacent gate G2, and to appropriately perform verification processing for a person who is about to pass through the own gate G1. . As a result, it is possible to suppress misrecognition of a person trying to pass through another gate, and to suppress unnecessary verification processing and suppress processing load on the information processing apparatus.

  Note that the face orientation, which is the feature of the person as the determination information, is not limited to the face orientation relative to the imaging device C1, and may be a value based on any reference. Further, the value of the condition for starting the collation process is not limited to the value described above, and may be any value.

<Embodiment 3>
Next, a third embodiment of the present invention will be described with reference to FIGS. FIG. 12 is a block diagram illustrating a configuration of a verification system according to the third embodiment. FIG. 13 is a block diagram illustrating a configuration of the information processing apparatus according to the third embodiment. In the present embodiment, an outline of the configuration of the face authentication system described in the first and second embodiments is shown.

As shown in FIG. 12, the collation system 100 in this embodiment is
Imaging means 110 for acquiring a photographed image of a pre-passage region with respect to the gate;
Collation means 120 for performing collation processing between a pre-registered target and a target in a captured image;
Determination means 130 for determining whether or not the object can pass through the gate based on the result of the collation processing;
Is provided.
And the said collation means 120 starts a collation process based on the conditions about the object located in the said area | region set for every area | region of the picked-up image,
The configuration is as follows.

Moreover, in this embodiment, you may remove the imaging means 110 from the collation system 100 shown in FIG.
That is, the information processing apparatus 200 in the present embodiment is
Collation means 210 for performing collation processing between the object in the captured image of the pre-passage area with respect to the gate and the object registered in advance;
A determination unit 220 that determines whether or not the object can pass through the gate based on the result of the matching process;
Is provided.
And the said collation means 210 starts a collation process based on the conditions about the object located in the said area | region set for every area | region of the picked-up image,
The configuration is as follows.

  Note that the collation means 120 and 210 and the determination means 130 and 220 described above may be constructed by an arithmetic device executing a program, or may be constructed by an electronic circuit.

Then, according to the collation system 100 or the information processing apparatus 200 configured as described above,
Perform a collation process between the target in the captured image of the pre-passage area with respect to the gate and the target registered in advance.
Based on the result of the collation process, it is determined whether the object can pass through the gate.
Is provided.
And in such a collation method, further, collation processing is started based on the condition for the object located in the region set for each region of the captured image.
The configuration is as follows.

  According to the collation system 100 or the information processing apparatus 200 described above, for an object located in a predetermined area of the captured image, collation processing is started when the target satisfies the conditions set in the area. For this reason, even if a target to be passed through another gate appears in the captured image, it is possible to suppress the start of collation processing for the target depending on the condition set in the region where the target is shown. As a result, it is possible to suppress erroneous recognition of an object that attempts to pass through the gate, and it is possible to reduce unnecessary processing for collation and reduce the processing load on the information processing apparatus.

<Appendix>
Part or all of the above-described embodiment can be described as in the following supplementary notes. The outline of the configuration of the collation system, information processing apparatus, program, and collation method in the present invention will be described below. However, the present invention is not limited to the following configuration.

(Appendix 1)
Imaging means for acquiring a photographed image of the pre-passage area with respect to the gate;
Collating means for performing collation processing between the pre-registered object and the object in the captured image;
Based on the result of the collation process, a determination unit that determines whether the object can pass through the gate;
With
The collation means starts the collation process based on a condition for the target located in the region set for each region of the captured image.
Matching system.

  According to the above configuration, the collation system starts collation processing for a target located in a predetermined area of the captured image when the target satisfies a condition set in the area. For this reason, even if a target to be passed through another gate appears in the captured image, it is possible to suppress the start of collation processing for the target depending on the condition set in the region where the target is shown. As a result, it is possible to suppress erroneous recognition of an object that attempts to pass through the gate, and it is possible to reduce unnecessary processing for collation and reduce the processing load on the information processing apparatus.

(Appendix 2)
A verification system according to attachment 1, wherein
Comprising target information detection means for detecting target information representing characteristics of the target in the captured image;
The collation means starts the collation processing for the target when the target information of the target in the captured image satisfies a condition set in an area of the captured image where the target is located.
Matching system.

  According to the above configuration, the target information representing the feature of the target in the captured image is detected, and when the target information satisfies the conditions set for each region of the captured image, the matching process for the target is started. For this reason, by setting the target information of the target to a condition that does not start the verification process in an area where the target to pass through different gates is shown, it suppresses erroneous recognition of the target and suppresses unnecessary verification process. Can do.

(Appendix 3)
A verification system according to attachment 2, wherein
The collation means, when the target information of the target in the captured image satisfies a condition set for each of the horizontally segmented regions of the captured image where the target is located, Start processing,
Matching system.

  As described above, by setting the conditions for each region divided in the horizontal direction, it is possible to suppress erroneous recognition of an object to be passed through an adjacent gate and unnecessary verification processing.

(Appendix 4)
A verification system according to attachment 3, wherein
The target information detecting means detects the size of the target as the target information,
When the target information of the target in the captured image is larger than a value that is a condition set for each region of the captured image in which the target is located, the verification unit performs the verification process on the target. Start,
A value that is a condition for the target information of the target set in an end region with respect to a central region in the horizontal direction of the captured image is greater than a value that is a condition for the target information of the target set in the central region. Set,
Matching system.

(Appendix 5)
A verification system according to appendix 4, wherein
The target information detecting means detects a distance between predetermined parts constituting a face of a person who is the target, as the target information representing the size of the target.
Matching system.

  According to the above configuration, the condition relating to the size of the object shown in the end region is set larger than the size of the object moving to the central region. For example, when the target is a person, the condition for the distance between predetermined parts constituting the person's face is set to be larger in the end region than in the central region. As a result, when an object that is going to pass through an adjacent gate appears in the end region, the size of the object does not satisfy the condition, so that erroneous recognition of the object and unnecessary verification processing can be suppressed. On the other hand, when a target to pass through the corresponding gate appears in the end region, the size of the target satisfies the condition, and the matching process can be appropriately started.

(Appendix 6)
A verification system according to attachment 3, wherein
The target information detection means detects the direction of the target with respect to the gate as the target information,
When the target information of the target in the captured image satisfies a condition set for each region of the captured image in which the target is located, the verification unit starts the verification process for the target,
The condition for the target information of the target set in the end area with respect to the central area in the horizontal direction of the captured image and the condition for the target information of the target set in the central area are set differently. ,
Matching system.

(Appendix 7)
The verification system according to appendix 6,
The target information detection unit is configured to determine, as the target information indicating the direction of the target, an angle at which the person's face is facing the imaging unit based on a position of a predetermined part constituting the target person's face. Detect
The collation means, when the angle that is the target information of the target in the captured image is equal to or less than a value that is a condition set for each region of the captured image in which the target is located, Start the verification process
A value that is a condition for the target information of the target set in an end region with respect to a central region in the horizontal direction of the captured image is a value of an angle that is a condition for the target information of the target set in the central region. Is also set larger,
Matching system.

  According to the above configuration, the conditions regarding the orientation of the object reflected in the end region are set differently for the central region and the end region. For example, when the target is a person, the condition of the angle at which the person's face is facing the imaging device is set larger in the end region than in the central region. As a result, when an object to pass through the corresponding gate appears in the end region, the angle of the object satisfies the condition, and the matching process can be appropriately started. On the other hand, when an object that attempts to pass through an adjacent gate appears in the end region, the angle of the object does not satisfy the condition, and thus erroneous recognition of the object and unnecessary verification processing can be suppressed.

(Appendix 8)
Collating means for performing collation processing between the target in the captured image of the pre-passage area with respect to the gate and the target registered in advance;
Based on the result of the collation process, a determination unit that determines whether the object can pass through the gate;
With
The collation means starts the collation process based on a condition for the target located in the region set for each region of the captured image.
Information processing device.

(Appendix 9)
An information processing apparatus according to appendix 8, wherein
Comprising target information detection means for detecting target information representing characteristics of the target in the captured image;
The collation means starts the collation processing for the target when the target information of the target in the captured image satisfies a condition set in an area of the captured image where the target is located.
Information processing device.

(Appendix 10)
In the information processing device,
Collating means for performing collation processing between the target in the captured image of the pre-passage area with respect to the gate and the target registered in advance;
Based on the result of the collation process, a determination unit that determines whether the object can pass through the gate;
Is a program for realizing
The collation means starts the collation process based on a condition for the target located in the region set for each region of the captured image.
program.

(Appendix 11)
The program according to attachment 10, wherein
The information processing apparatus further realizes target information detection means for detecting target information representing the characteristics of the target in the captured image,
The collation means starts the collation processing for the target when the target information of the target in the captured image satisfies a condition set in an area of the captured image where the target is located.
program.

(Appendix 12)
Information processing device
Perform a collation process between the target in the captured image of the pre-passage area with respect to the gate and the target registered in advance.
It is a method for determining whether or not the object can pass through the gate based on the result of the matching process,
The information processing apparatus starts the matching process based on a condition for the target located in the region set for each region of the captured image.
Matching method.

(Appendix 13)
The verification method according to attachment 12, wherein
The information processing apparatus detects pre-target information representing the characteristics of the target in the captured image;
The information processing apparatus starts the matching process for the target when the target information of the target in the captured image satisfies a condition set in an area of the captured image where the target is located.
Matching method.

  Note that the above-described program is stored in a storage device or recorded on a computer-readable recording medium. For example, the recording medium is a portable medium such as a flexible disk, an optical disk, a magneto-optical disk, and a semiconductor memory.

  Although the present invention has been described with reference to the above-described embodiment and the like, the present invention is not limited to the above-described embodiment. Various changes that can be understood by those skilled in the art can be made to the configuration and details of the present invention within the scope of the present invention.

DESCRIPTION OF SYMBOLS 10 Face authentication system 11 Object extraction part 12 Condition determination part 13 Collation part 14 Gate control part 15 Collation condition memory | storage part 16 Collation data storage part 100 Collation system 110 Imaging means 120 Collation means 130 Determination means 200 Information processing apparatus 210 Collation means 220 Determination Means C1, C2, C3 Imaging device D1 Display device G1, G2, G3 Gate

Claims (6)

Acquisition means for acquiring a photographed image of the pre-passage area with respect to the gate;
Extracting means for extracting a face area of a person to be processed from the captured image;
Detecting means for detecting the distance between eyes of the person from the extracted face area;
Collation means for starting a collation process between a person registered in advance and the person in the captured image when the distance between the eyes satisfies a predetermined condition;
Determination means for determining whether or not the person can pass through the gate based on the result of the matching process;
A collation system comprising: The verification system according to claim 1,
The collation means preferentially starts the collation process for the person with the largest distance between eyes when there are a plurality of the persons whose distance between the eyes satisfies the predetermined condition.
Matching system. Obtain a captured image of the pre-passage area for the gate,
Extract the face area of the person to be processed from the captured image,
Detecting the distance between the eyes of the person from the extracted face area;
When the distance between the eyes satisfies a predetermined condition, a matching process between a person registered in advance and the person in the captured image is started,
Based on the result of the verification process, it is determined whether or not the person can pass through the gate.
Matching method. The collation method according to claim 3,
When there are a plurality of the persons whose distance between the eyes satisfies the predetermined condition, the collation process for the person with the largest distance between the eyes is preferentially started.
Matching method. In the information processing device,
Acquisition means for acquiring a photographed image of the pre-passage area with respect to the gate;
Extracting means for extracting a face area of a person to be processed from the captured image;
Detecting means for detecting the distance between eyes of the person from the extracted face area;
Collation means for starting a collation process between a person registered in advance and the person in the captured image when the distance between the eyes satisfies a predetermined condition;
Determination means for determining whether or not the person can pass through the gate based on the result of the matching process;
A program to realize The program according to claim 5,
The collation means preferentially starts the collation process for the person having the largest distance between eyes when there are a plurality of the persons whose distance between the eyes satisfies the predetermined condition.
program.

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