CN111783714A - Coercion face recognition method, device, equipment and storage medium - Google Patents
Coercion face recognition method, device, equipment and storage medium Download PDFInfo
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Abstract
The application discloses a method, a device, equipment and a storage medium for coercion face recognition, wherein the method comprises the following steps: dividing the identification area of a camera in the access control system to obtain a coercion area; collecting a human face image to be detected; determining a face area where a face is located in the face image to be detected according to the face image to be detected; when the face area is in the duress area, carrying out face recognition on the face in the face image to be detected in the duress area; when the face identification is successful, whether the face identification frequency reaches the preset frequency is judged, if yes, the face in the face image to be detected is output as a stressed face, and if not, the step of collecting the face image to be detected is returned.
Description
Technical Field
The present application relates to the field of face recognition technologies, and in particular, to a method, an apparatus, a device, and a storage medium for duress face recognition.
Background
At present, face recognition is already applied to an access control system, but in some scenarios, a user may be forced to open a door, and therefore, a forced face recognition method needs to be provided to improve the security of the access control system. The duress face recognition method in the prior art usually performs duress face recognition by making some facial behaviors different from normal by a duress person, such as blinking, eye closing or smiling, and the facial behaviors are easy to be found and are not hidden enough.
Disclosure of Invention
The application provides a coercion face recognition method, a coercion face recognition device, coercion face recognition equipment and a storage medium, which are used for solving the technical problems that the existing coercion face recognition method carries out coercion face recognition by making some facial behaviors different from a normal state by a coercion person, and the existing facial behaviors are easy to find and not hidden enough.
In view of the above, a first aspect of the present application provides a duress face recognition method, including:
dividing the identification area of a camera in the access control system to obtain a coercion area;
collecting a human face image to be detected;
determining a face area where a face is located in the face image to be detected according to the face image to be detected;
when the face area is in the duress area, carrying out face recognition on the face in the face image to be detected in the duress area;
and when the face image is successfully identified, judging whether the identification frequency of the face reaches a preset frequency, if so, outputting the face in the face image to be detected as a stressed face, and if not, returning to the step of collecting the face image to be detected.
Optionally, the determining, according to the facial image to be detected, a facial region where a face in the facial image to be detected is located includes:
acquiring face frame coordinates of a face in the face image to be detected based on a face detection algorithm;
and determining a face area where the face is located in the face image to be detected according to the face frame coordinates.
Optionally, the determining, according to the facial image to be detected, a facial region where a face in the facial image to be detected is located, and then further includes:
and when the face area is in the non-duress area, identifying the face in the face image to be detected in the non-duress area, and when the identification is successful, controlling an access control switch to be turned on.
Optionally, the outputting the face in the face image to be detected is a stressed face, and then further includes:
and sending alarm information to a background security center.
The second aspect of the present application provides a duress face recognition apparatus, including:
the dividing unit is used for dividing the identification area of the camera in the access control system to obtain a coercion area;
the acquisition unit is used for acquiring a human face image to be detected;
the determining unit is used for determining a face area where a face in the face image to be detected is located according to the face image to be detected;
the first identification unit is used for carrying out face identification on the face in the face image to be detected in the duress area when the face area is in the duress area;
and the judging unit is used for judging whether the recognition frequency of the face reaches a preset frequency or not when the recognition is successful, if so, outputting the face in the face image to be detected as the duress face, and if not, triggering the acquisition unit.
Optionally, the determining unit is specifically configured to:
acquiring face frame coordinates of a face in the face image to be detected based on a face detection algorithm;
and determining a face area where the face is located in the face image to be detected according to the face frame coordinates.
Optionally, the method further includes:
and the second identification unit is used for identifying the face in the face image to be detected in the non-duress area when the face area is in the non-duress area, and controlling the opening of the access control switch when the face area is successfully identified.
Optionally, the method further includes:
and the alarm unit is used for sending alarm information to the background security center.
A third aspect of the present application provides a duress face recognition device, the device comprising a processor and a memory;
the memory is used for storing program codes and transmitting the program codes to the processor;
the processor is configured to execute the duress face recognition method according to any one of the first aspect according to instructions in the program code.
A fourth aspect of the present application provides a computer-readable storage medium for storing program code for executing the duress face recognition method according to any one of the first aspects.
According to the technical scheme, the method has the following advantages:
the application provides a coercion face recognition method, which comprises the following steps: dividing the identification area of a camera in the access control system to obtain a coercion area; collecting a human face image to be detected; determining a face area where a face is located in the face image to be detected according to the face image to be detected; when the face area is in the duress area, carrying out face recognition on the face in the face image to be detected in the duress area; and when the recognition is successful, judging whether the recognition frequency of the face reaches a preset frequency, if so, outputting the face in the face image to be detected as a stressed face, and if not, returning to the step of collecting the face image to be detected.
According to the coercion face recognition method, the recognition area of the camera in the access control system is divided, so that the coercion area is determined, when a user is coercion, face recognition can be performed on the coercion area, the face recognition is not easy to discover, the coercion recognition is completed in a concealed mode, and the technical problems that the existing coercion face recognition method carries out coercion face recognition by making some facial behaviors different from a normal state by a coercion person, the existing facial behaviors are easy to discover and are not concealed enough are solved.
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In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings needed to be used in the description of the embodiments or the prior art will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and it is obvious for those skilled in the art that other drawings can be obtained according to the drawings without inventive exercise.
Fig. 1 is a schematic flowchart of a duress face recognition method according to an embodiment of the present application;
fig. 2 is another schematic flow chart of a duress face recognition method according to an embodiment of the present application;
fig. 3 is a schematic diagram of a region dividing method according to an embodiment of the present application;
fig. 4 is a schematic diagram of another area dividing method provided in the embodiment of the present application;
fig. 5 is a schematic diagram of a face region in a duress region according to an embodiment of the present application;
fig. 6 is a schematic structural diagram of a duress face recognition apparatus according to an embodiment of the present application.
Detailed Description
The application provides a coercion face recognition method, a coercion face recognition device, coercion face recognition equipment and a storage medium, which are used for solving the technical problems that the existing coercion face recognition method carries out coercion face recognition by making some facial behaviors different from a normal state by a coercion person, and the existing facial behaviors are easy to find and not hidden enough.
In order to make the technical solutions of the present application better understood, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
For easy understanding, referring to fig. 1, an embodiment of a duress face recognition method provided in the present application includes:
The identification area of the camera in the access control system is divided to obtain a duress area and an non-duress area, assuming that the area size of the identification area of the camera is 720 × 1280 pixels, the identification area can be divided to obtain 4 areas, A, B, C and D, please refer to fig. 3, and area a can be set as the duress area and areas B, C and D as the non-duress area in agreement with the user.
And step 102, collecting a face image to be detected.
When a user needs to open the access control switch, the user stands at the front end of the camera in the access control system, so that the camera can acquire a face image to be detected of the user. When the user is coerced, the user can stand at the position of the coerced area to perform face recognition, and when the user is not coerced, the user can stand at the position of the coerced area to perform face recognition.
And 103, determining a face area where the face in the face image to be detected is located according to the face image to be detected.
After the face image to be detected is collected, the face in the face image to be detected can be detected by adopting a face detection algorithm, and then the face area where the face is located is confirmed.
And step 104, when the face area is in the duress area, carrying out face recognition on the face in the face image to be detected in the duress area.
When the face area where the face is located is in the duress area, namely the face in the collected face image to be detected is in the duress area, face recognition is carried out on the face in the duress area.
And 105, when the recognition is successful, judging whether the recognition frequency of the face reaches a preset frequency, if so, outputting the face in the face image to be detected as the duress face, and if not, returning to the step 102.
When the face in the face image to be detected is recognized as the face in the access control system database, the recognition is successful, at this time, whether the recognition frequency reaches a preset frequency N is judged, the preset frequency N can be 1 or a natural number greater than 1, and if the recognition frequency reaches the preset frequency N, the face in the face image to be detected is output as a duress face; and if the identification frequency does not reach the preset frequency N, returning to the step 102, and continuing to collect the facial image to be detected of the user until the identification frequency reaches the preset frequency N. For example, when the preset number of times N is 2, if the user is required to successfully identify the duress area for 2 times, it is determined that the user is duress.
According to the coercion face recognition method in the embodiment of the application, the recognition area of the camera in the access control system is divided, so that the coercion area is determined, when a user is coercion, face recognition can be performed in the coercion area and is not easy to find, so that the coercion recognition is completed in a concealed mode, and the technical problems that the existing coercion face recognition method carries out coercion face recognition by making some facial behaviors different from a normal state by a coercion person, the existing facial behaviors are easy to find, and the facial behaviors are not concealed enough are solved.
The above is an embodiment of a duress face recognition method provided by the present application, and the following is another embodiment of a duress face recognition method provided by the present application.
For easy understanding, referring to fig. 2, an embodiment of a duress face recognition method provided in the present application includes:
The identification area of the camera in the access control system is divided to obtain a duress area and an non-duress area, assuming that the area size of the identification area of the camera is 720 × 1280 pixels, the identification area can be divided to obtain 4 areas, A, B, C and D, please refer to fig. 3, and area a can be set as the duress area and areas B, C and D as the non-duress area in agreement with the user. The method of fig. 4 may also be adopted to divide the identification area of the camera in the access control system to obtain A, B and C, which are 3 areas, where an duress area and an non-duress area are agreed from the 3 areas, areas a and C may be agreed with the user as duress areas, and area B is assumed as a non-duress area; considering that the user usually faces the camera and performs face recognition in the center of the image, in order to perform face recognition under duress more covertly, it may be agreed with the user that the region B is set as a duress region and the regions a and C are set as non-duress regions, which is less likely to be found.
When a user needs to open the access control switch, the user stands at the front end of the camera in the access control system, so that the camera can acquire a face image to be detected. When the user is coerced, the user can stand at the position of the coerced area to perform face recognition, and when the user is not coerced, the user can stand at the position of the coerced area to perform face recognition.
And 203, acquiring face frame coordinates of the face in the face image to be detected based on a face detection algorithm.
And 204, determining a face area where the face in the face image to be detected is located according to the face frame coordinates.
After the face image to be detected is collected, the face in the face image to be detected can be detected by adopting a face detection algorithm, and then the face area where the face is located is confirmed. Specifically, the face in the face image to be detected can be detected through a face detection algorithm, face frame coordinates of the face are output, and a face area where the face is located is determined according to the face frame coordinates.
Assuming that the face image to be detected is divided by using the method of fig. 4, and the area a is set as a stressed area, please refer to fig. 5, assume that a rectangular coordinate system is established with the upper left corner of the image to be detected as an origin coordinate (0,0), the coordinate range of the area a is (a.left, a.top, a.right, a.bottom), (a.left, a.top) is the coordinate of the upper left corner point of the area a, and (a.right, a.bottom) is the coordinate of the lower right corner point of the area a. Detecting the face in the face image to be detected based on a face detection algorithm, and outputting face frame coordinates (face. left, face. top, face. right, face. bottom) of the face, so as to determine a face area (face. left, face. top, face. right, face. bottom) where the face is located.
And step 205, when the face area is in the duress area, performing face recognition on the face in the face image to be detected in the duress area.
When the face area where the face is located is in the duress area, namely the face in the collected face image to be detected is in the duress area, face recognition is carried out on the face in the duress area. With the above example, referring to fig. 4 and fig. 5, whether the face area is in the duress area is determined by comparing the face area (face.left, face.top, face.right, face.bottom) with the duress area (a.left, a.top, a.right, a.bottom). When the division is performed in the manner of fig. 3, if the area a is set as a duress area, the sizes of face.
And step 206, when the recognition is successful, judging whether the recognition frequency of the face reaches a preset frequency, if so, outputting the face in the face image to be detected as a coercion face, sending alarm information to a background security center, and if not, returning to the step 202.
When the face in the face image to be detected is recognized as the face in the database of the access control system, the recognition is successful, at this time, whether the recognition frequency reaches a preset frequency N is judged, the preset frequency N can be 1 or a natural number greater than 1, if the recognition frequency reaches the preset frequency N, the face in the face image to be detected is an intimidation face, and alarm information is sent to a background security center, so that the related face knows that the user is intimidated, and therefore related measures are taken, and an access control switch can be normally opened to ensure the safety of the user; and if the identification frequency does not reach the preset frequency N, returning to the step 102, and continuing to collect the facial image to be detected of the user until the identification frequency reaches the preset frequency N. For example, when the preset number of times N is 2, if the user is required to be successfully identified for 2 times in the duress area, it is determined that the user is duress, and an alarm message is sent to the background security center.
When the face cannot be identified, namely the face is failed to be identified, prompt information of 'failure in identification and recognition again' can be output, and an access control switch is not turned on.
And step 207, when the face area is in the non-duress area, identifying the face in the face image to be detected in the non-duress area, and when the identification is successful, controlling the access control switch to be turned on.
When the user carries out face recognition in the non-coercion area, the access control switch is normally opened or normal attendance checking is normally carried out. And identifying the face in the face image to be detected in the non-coercion area, controlling the access control switch to be opened when the identification is successful, and not opening the access control switch when the identification is failed.
The above is an embodiment of a duress face recognition method provided by the present application, and the following is an embodiment of a duress face recognition apparatus provided by the present application.
For easy understanding, referring to fig. 6, an embodiment of a duress face recognition device provided in the present application includes:
the dividing unit 301 is configured to divide an identification area of a camera in the access control system to obtain a duress area;
an acquisition unit 302, configured to acquire a face image to be detected;
a determining unit 303, configured to determine, according to the facial image to be detected, a facial region where a face in the facial image to be detected is located;
the first identification unit 304 is configured to perform face identification on a face in a face image to be detected in a duress region when the face region is in the duress region;
the determining unit 305 is configured to determine whether the number of times of face recognition reaches a preset number of times when the recognition is successful, if so, output that the face in the face image to be detected is a stressed face, and if not, trigger the acquiring unit 302.
As a further improvement, the determining unit 303 in the duress face recognition apparatus in the embodiment of the present application is specifically configured to:
acquiring face frame coordinates of a face in a face image to be detected based on a face detection algorithm;
and determining a face area where the face is in the face image to be detected according to the face frame coordinates.
As a further improvement, the duress face recognition apparatus in the embodiment of the present application further includes:
and the second identification unit 306 is configured to identify a face in the face image to be detected in the non-duress area when the face area is in the non-duress area, and control the access control switch to be turned on when the face area is successfully identified.
As a further improvement, the duress face recognition apparatus in the embodiment of the present application further includes:
and the alarm unit 307 is configured to send alarm information to the background security center.
The application also provides an embodiment of a duress face recognition device, the device comprising a processor and a memory;
the memory is used for storing the program codes and transmitting the program codes to the processor;
the processor is used for executing the duress face recognition method in the duress face recognition method embodiment according to instructions in the program code.
The present application further provides a computer-readable storage medium for storing a program code for executing the duress face recognition method in the foregoing duress face recognition method embodiment.
It is clear to those skilled in the art that, for convenience and brevity of description, the specific working processes of the above-described apparatuses and units may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
In the several embodiments provided in the present application, it should be understood that the disclosed apparatus and method may be implemented in other ways. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the units is only one logical division, and other divisions may be realized in practice, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present application may be substantially implemented or contributed to by the prior art, or all or part of the technical solution may be embodied in a software product, which is stored in a storage medium and includes instructions for executing all or part of the steps of the method described in the embodiments of the present application through a computer device (which may be a personal computer, a server, or a network device). And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
The above embodiments are only used for illustrating the technical solutions of the present application, and not for limiting the same; although the present application has been described in detail with reference to the foregoing embodiments, it should be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions in the embodiments of the present application.
Claims (10)
1. A duress face recognition method is characterized by comprising the following steps:
dividing the identification area of a camera in the access control system to obtain a coercion area;
collecting a human face image to be detected;
determining a face area where a face is located in the face image to be detected according to the face image to be detected;
when the face area is in the duress area, carrying out face recognition on the face in the face image to be detected in the duress area;
and when the face image is successfully identified, judging whether the identification frequency of the face reaches a preset frequency, if so, outputting the face in the face image to be detected as a stressed face, and if not, returning to the step of collecting the face image to be detected.
2. A duress face recognition method according to claim 1, wherein the determining, according to the face image to be detected, a face region where a face is located in the face image to be detected comprises:
acquiring face frame coordinates of a face in the face image to be detected based on a face detection algorithm;
and determining a face area where the face is located in the face image to be detected according to the face frame coordinates.
3. A duress face recognition method according to claim 1, wherein the determining of the face region of the face image to be detected in which the face is located according to the face image to be detected further comprises:
and when the face area is in the non-duress area, identifying the face in the face image to be detected in the non-duress area, and when the identification is successful, controlling an access control switch to be turned on.
4. The duress face recognition method according to claim 1, wherein the outputting the face in the face image to be detected is a duress face, and then further comprises:
and sending alarm information to a background security center.
5. A duress face recognition apparatus, comprising:
the dividing unit is used for dividing the identification area of the camera in the access control system to obtain a coercion area;
the acquisition unit is used for acquiring a human face image to be detected;
the determining unit is used for determining a face area where a face in the face image to be detected is located according to the face image to be detected;
the first identification unit is used for carrying out face identification on the face in the face image to be detected in the duress area when the face area is in the duress area;
and the judging unit is used for judging whether the recognition frequency of the face reaches a preset frequency or not when the recognition is successful, if so, outputting the face in the face image to be detected as the duress face, and if not, triggering the acquisition unit.
6. A duress face recognition device according to claim 5, wherein the determination unit is specifically configured to:
acquiring face frame coordinates of a face in the face image to be detected based on a face detection algorithm;
and determining a face area where the face is located in the face image to be detected according to the face frame coordinates.
7. The duress face recognition device according to claim 5, further comprising:
and the second identification unit is used for identifying the face in the face image to be detected in the non-duress area when the face area is in the non-duress area, and controlling the opening of the access control switch when the face area is successfully identified.
8. The duress face recognition device according to claim 5, further comprising:
and the alarm unit is used for sending alarm information to the background security center.
9. A duress face recognition device, the device comprising a processor and a memory;
the memory is used for storing program codes and transmitting the program codes to the processor;
the processor is configured to execute the duress face recognition method according to any one of claims 1 to 4 according to instructions in the program code.
10. A computer-readable storage medium for storing a program code for executing the duress face recognition method according to any one of claims 1 to 4.
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN111931675A (en) * | 2020-08-18 | 2020-11-13 | 熵基科技股份有限公司 | Coercion alarm method, device, equipment and storage medium based on face recognition |
| CN112837462A (en) * | 2020-12-31 | 2021-05-25 | 重庆数宜信信用管理有限公司 | Face recognition access control system and access control system control method |
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| CN111783714B (en) | 2024-05-07 |
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