CN111783714B - Method, device, equipment and storage medium for face recognition under duress - Google Patents
Method, device, equipment and storage medium for face recognition under duress Download PDFInfo
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- CN111783714B CN111783714B CN202010662184.3A CN202010662184A CN111783714B CN 111783714 B CN111783714 B CN 111783714B CN 202010662184 A CN202010662184 A CN 202010662184A CN 111783714 B CN111783714 B CN 111783714B
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- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/16—Human faces, e.g. facial parts, sketches or expressions
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- G07C—TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
- G07C9/00—Individual registration on entry or exit
- G07C9/30—Individual registration on entry or exit not involving the use of a pass
- G07C9/32—Individual registration on entry or exit not involving the use of a pass in combination with an identity check
- G07C9/37—Individual registration on entry or exit not involving the use of a pass in combination with an identity check using biometric data, e.g. fingerprints, iris scans or voice recognition
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Abstract
The application discloses a method, a device, equipment and a storage medium for face recognition of duress, wherein the method comprises the following steps: dividing an identification area of a camera in an access control system to obtain a stress area; collecting a face image to be detected; determining a face area where a face in the face image to be detected is located according to the face image to be detected; when the face area is in the stress area, face recognition is carried out on the face in the face image to be detected in the stress area; when the identification is successful, judging whether the identification times of the faces reach the preset times, if so, outputting the faces in the face images to be detected as the coercing faces, otherwise, returning to the step of collecting the face images to be detected, and solving the technical problems that the existing coercing face identification method carries out coercing face identification by the coercing person through making some face behaviors different from the normal state, and the existing face behaviors are easy to be found and are not hidden enough.
Description
Technical Field
The present application relates to the field of face recognition technologies, and in particular, to a method, apparatus, device, and storage medium for duress face recognition.
Background
At present, face recognition is already applied to an access control system, but in some situations, a user may be forced to open a door under duress, so that a duress face recognition method needs to be provided to improve the security of the access control system. The method for face recognition by duress in the prior art usually performs face recognition by duress by making some face behaviors different from normal states, such as blinking, eye closing, smiling and the like, and the face behaviors are easy to be found and are not hidden enough.
Disclosure of Invention
The application provides a method, a device, equipment and a storage medium for duress face recognition, which are used for solving the technical problems that the existing duress face recognition method is used for duress face recognition by a duress person giving out a plurality of face behaviors different from a normal state, and the face behaviors are easy to find and are not hidden enough.
In view of this, a first aspect of the present application provides a stress face recognition method, including:
Dividing an identification area of a camera in an access control system to obtain a stress area;
collecting a face image to be detected;
determining a face area where a face in the face image to be detected is located according to the face image to be detected;
When the face area is in the stress area, carrying out face recognition on the face in the face image to be detected in the stress area;
and when the identification is successful, judging whether the identification times of the human face reach the preset times, if so, outputting the human face in the human face image to be detected as a stressed human face, and if not, returning to the step of collecting the human face image to be detected.
Optionally, the determining, according to the face image to be detected, a face area where a face in the face 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 in the face image to be detected is located according to the face frame coordinates.
Optionally, the determining, according to the face image to be detected, a face area where a face in the face image to be detected is located further includes:
When the face area is in the non-stressed area, the face in the face image to be detected is identified in the non-stressed area, and when the identification is successful, the entrance guard switch is controlled to be opened.
Optionally, the outputting the face in the face image to be detected is a stress 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, comprising:
The dividing unit is used for dividing the identification area of the camera in the access control system to obtain a stress area;
The acquisition unit is used for acquiring the 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 recognition unit is used for recognizing the face in the face image to be detected in the stress area when the face area is in the stress area;
And the judging unit is used for judging whether the recognition times of the human face reach the preset times or not when the recognition is successful, outputting the human face in the human face image to be detected as the stressed human face if the recognition times reach the preset times, and triggering the acquisition unit if the recognition times are not successful.
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 in the face image to be detected is located according to the face frame coordinates.
Optionally, the method further comprises:
And the second identification unit is used for identifying the face in the face image to be detected in the non-stressed area when the face area is in the non-stressed area, and controlling the entrance guard switch to be opened when the identification is successful.
Optionally, the method further comprises:
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 the instructions in the program code.
A fourth aspect of the present application provides a computer readable storage medium for storing program code for performing the duress face recognition method of any one of the first aspects.
From the above technical scheme, the application has the following advantages:
The application provides a stress face recognition method, which comprises the following steps: dividing an identification area of a camera in an access control system to obtain a stress area; collecting a face image to be detected; determining a face area where a face in the face image to be detected is located according to the face image to be detected; when the face area is in the stress area, face recognition is carried out on the face in the face image to be detected in the stress area; and when the identification is successful, judging whether the identification times of the human face reach the preset times, if so, outputting the human face in the human face image to be detected as the coercing human face, and if not, returning to the step of collecting the human face image to be detected.
According to the method for recognizing the duress face, the recognition area of the camera in the access control system is divided, so that the duress area is determined, when a user is duress, face recognition can be performed in the duress area, the user is not easy to find, so that duress recognition is completed in a hidden mode, and the technical problems that the existing duress face recognition method performs duress face recognition by making a plurality of face behaviors different from a normal state by a duress person, and the existing face behaviors are easy to find and are not hidden are solved.
Drawings
In order to more clearly illustrate the embodiments of the application or the technical solutions of the prior art, the drawings which are used in the description of the embodiments or the prior art will be briefly described, it being obvious that the drawings in the description below are only some embodiments of the application, and that other drawings can be obtained from these drawings without inventive faculty for a person skilled in the art.
Fig. 1 is a schematic flow chart of a stress face recognition method according to an embodiment of the present application;
fig. 2 is another flow chart of a stress 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 according to an embodiment of the present application;
fig. 5 is a schematic diagram of a face area in a stress area according to an embodiment of the present application;
fig. 6 is a schematic structural diagram of a duress face recognition device according to an embodiment of the present application.
Detailed Description
The application provides a method, a device, equipment and a storage medium for duress face recognition, which are used for solving the technical problems that the existing duress face recognition method is used for duress face recognition by a duress person giving out a plurality of face behaviors different from a normal state, and the face behaviors are easy to find and are not hidden enough.
In order to make the present application better understood by those skilled in the art, the following description will clearly and completely describe the technical solutions in the embodiments of the present application with reference to the accompanying drawings, and it is apparent that the described embodiments are only some embodiments of the present application, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, are intended to be within the scope of the application.
For easy understanding, referring to fig. 1, an embodiment of a stress face recognition method provided by the present application includes:
step 101, dividing an identification area of a camera in an access control system to obtain a stress area.
Dividing the identification area of the camera in the access control system to obtain a stressed area and an non-stressed area, and assuming that the area size of the identification area of the camera is 720×1280 pixels, dividing the identification area to obtain 4 areas A, B, C and D, referring to FIG. 3, the area A can be set as the stressed area and the areas B, C and D are set as the non-stressed areas by user engagement.
Step 102, acquiring a face image to be detected.
When a user needs to open an entrance guard switch, the front end of the camera standing in the entrance guard system enables the camera to acquire face images to be detected of the user. When the user is stressed, the user can stand at the position of the face of the user in the stressed area to conduct face recognition, and when the user is not stressed, the user stands at the position of the face of the user in the non-stressed area to conduct face recognition.
Step 103, determining a face area where a face is located in the face image to be detected according to the face image to be detected.
After the face image to be detected is acquired, a face detection algorithm can be adopted to detect the face in the face image to be detected, and then the face area where the face is located is confirmed.
And 104, when the face area is in the stress area, carrying out face recognition on the face in the face image to be detected in the stress area.
When the face area where the face is located is in the stress area, namely the face in the acquired face image to be detected is in the stress area, face recognition is carried out on the face in the stress area.
And 105, judging whether the recognition times of the faces reach the preset times or not when the recognition is successful, if so, outputting the faces in the face image to be detected as the coercing faces, 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, namely the recognition is successful, judging whether the recognition frequency reaches a preset frequency N, wherein the preset frequency N can be a natural number of 1 or more, and outputting the face in the face image to be detected as a stressed face if the recognition frequency reaches the preset frequency N; if the number of times of recognition does not reach the preset number of times N, returning to the step 102, and continuing to collect the face image to be detected of the user until the number of times of recognition reaches the preset number of times N. For example, when the preset number N is 2, the user is required to successfully identify 2 times in the duress area, and the user is determined to be duress.
According to the method for recognizing the duress face, the recognition area of the camera in the access control system is divided, so that the duress area is determined, when a user is duress, face recognition can be performed in the duress area, the user is not easy to find, so that duress recognition is completed in a concealed mode, and the technical problems that the existing duress face recognition method is capable of performing duress face recognition by making a plurality of face behaviors different from normal states by a duress person, and the existing face behaviors are easy to find and are not concealed are solved.
The above is one embodiment of a stress face recognition method provided by the present application, and the following is another embodiment of a stress face recognition method provided by the present application.
For easy understanding, referring to fig. 2, an embodiment of a stress face recognition method provided by the present application includes:
Step 201, dividing an identification area of a camera in an access control system to obtain a stress area.
Dividing the identification area of the camera in the access control system to obtain a stressed area and an non-stressed area, and assuming that the area size of the identification area of the camera is 720×1280 pixels, dividing the identification area to obtain 4 areas A, B, C and D, referring to FIG. 3, the area A can be set as the stressed area and the areas B, C and D are set as the non-stressed areas by user engagement. The identification area of the camera in the access control system can be divided in the mode of fig. 4 to obtain 3 areas A, B and C, the coercion area and the non-coercion area are appointed from the 3 areas, the coercion area A and the non-coercion area C can be set as coercion areas with the user, and the area B is set as the non-coercion area; in consideration of the fact that the user usually faces the camera, face recognition is carried out in the center of the image, and in order to carry out the coercion face recognition more implicitly, the region B appointed by the user can be set as coercion regions, and the regions A and C are set as non-coercion regions, so that the user cannot be found easily.
Step 202, acquiring a face image to be detected.
When a user needs to open an entrance guard switch, the front end of the camera which stands in the entrance guard system can collect face images to be detected. When the user is stressed, the user can stand at the position of the face of the user in the stressed area to conduct face recognition, and when the user is not stressed, the user stands at the position of the face of the user in the non-stressed area to conduct face recognition.
Step 203, acquiring face frame coordinates of a face in the face image to be detected based on a face detection algorithm.
Step 204, determining a face area where the face is located in the face image to be detected according to the face frame coordinates.
After the face image to be detected is acquired, a face detection algorithm can be adopted to detect the face in the face image to be detected, and then the face area where the face is located is confirmed. Specifically, a face in a 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.
Assume that the face image to be detected is divided by adopting the method of fig. 4, and an area a is set as a stress area, please refer to fig. 5, and a rectangular coordinate system is set up by taking the upper left corner of the image to be detected as an origin coordinate (0, 0), wherein 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 of the area a, and (a.right, a.bottom) is the coordinate of the lower right corner of the area a. And detecting a face in the face image to be detected based on a face detection algorithm, outputting face frame coordinates (face. Left, face. Top, face. Right, face. Bottom) of the face, and further determining a face area (face. Left, face. Top, face. Right, face. Bottom) where the face is located.
Step 205, when the face area is in the stress area, face recognition is performed on the face in the face image to be detected in the stress area.
When the face area where the face is located is in the stress area, namely the face in the acquired face image to be detected is in the stress area, and face recognition is carried out on the face in the stress area. With the above example, please refer to fig. 4 and fig. 5, whether the face region is in the stress region is determined by comparing the face region (face. Left, face. Top, face. Right, face. Bottom) with the stress region (a. Left, a. Top, a. Right, a. Bottom), and the face in the face image to be detected is determined to be in the stress region as long as the face. Left is greater than or equal to a. Left and the face. Right is less than or equal to a. Right due to the specificity of the region a. When the division is performed in the manner of fig. 3, if the area a is set as the stress area, the sizes of face. Bottom and a. Bottom need to be determined when determining whether the face area is in the stress area.
And 206, judging whether the recognition times of the faces reach the preset times or not when the recognition is successful, if so, outputting the faces in the face image to be detected as the coercing faces, and 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 access control system database, namely the recognition is successful, judging whether the recognition frequency reaches the preset frequency N, wherein the preset frequency N can be 1 or a natural number larger than 1, if the recognition frequency reaches the preset frequency N, outputting the face in the face image to be detected as the coercing face, and sending alarm information to a background security center, so that related personnel know that the user is coercing, related measures are taken, and an access control switch can be normally opened to ensure the safety of the user; if the number of times of recognition does not reach the preset number of times N, returning to the step 102, and continuing to collect the face image to be detected of the user until the number of times of recognition reaches the preset number of times N. For example, when the preset number of times N is 2, the user is required to successfully identify 2 times in the duress area continuously, and then the user is determined to be duress, and the warning information is sent to the background security center.
When the face is not recognized, namely recognition fails, prompt information of recognition failure, please recognize again can be output, and the access control switch is not turned on.
Step 207, when the face area is in the non-stressed area, recognizing the face in the face image to be detected in the non-stressed area, and when the recognition is successful, controlling the entrance guard switch to be opened.
When the user performs face recognition in the non-duress area, the access control switch is normally opened or the attendance is normally checked. And identifying the face in the face image to be detected in the non-stressed area, controlling the entrance guard switch to be opened when the identification is successful, and not opening the entrance guard switch when the identification is failed.
The above is an embodiment of a method for face recognition under duress provided by the present application, and the following is an embodiment of a device for face recognition under duress provided by the present application.
For easy understanding, referring to fig. 6, an embodiment of a duress face recognition device provided by 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 stress area;
the acquisition unit 302 is configured to acquire a face image to be detected;
a determining unit 303, configured to determine 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 recognition unit 304 is configured to perform face recognition on a face in a face image to be detected in a stress area when the face area is in the stress area;
The judging unit 305 is configured to, when the recognition is successful, judge whether the number of times of recognition of the face reaches a preset number of times, if so, output that the face in the face image to be detected is a duress face, and if not, trigger the collecting unit 302.
As a further improvement, the determining unit 303 in the duress face recognition device 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 in the face image to be detected is located according to the face frame coordinates.
As a further improvement, the duress face recognition device in the embodiment of the present application further includes:
And the second recognition unit 306 is configured to recognize a face in the face image to be detected in the non-stressed area when the face area is in the non-stressed area, and to control the entrance guard to open when the recognition is successful.
As a further improvement, the duress face recognition device in the embodiment of the present application further includes:
And the alarm unit 307 is used for sending alarm information to the background security center.
The application also provides an embodiment of the duress face recognition device, which comprises 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 configured to execute the duress face recognition method in the duress face recognition method embodiment according to the instruction in the program code.
The application also provides a computer readable storage medium, wherein the computer readable storage medium is used for storing program codes, and the program codes are used for executing the stress face recognition method in the stress face recognition method embodiment.
It will be clear to those skilled in the art that, for convenience and brevity of description, specific working procedures of the apparatus and units described above may refer to corresponding procedures in the foregoing method embodiments, which are not described herein again.
In the several embodiments provided by the present application, it should be understood that the disclosed apparatus and method may be implemented in other manners. For example, the apparatus embodiments described above are merely illustrative, e.g., the division of the units is merely a logical function division, and there may be additional divisions when actually implemented, e.g., multiple units or components may be combined or integrated into another system, or some features may be omitted or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be an indirect coupling or communication connection via some interfaces, devices or units, which may be in electrical, mechanical or other form.
The units described as separate units may or may not be physically separate, and units shown 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 may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional unit in the embodiments of the present application may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit. The integrated units may be implemented in hardware or in software functional units.
The integrated units, if implemented in the form of software functional units and sold or used as stand-alone products, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present application may be embodied in essence or a part contributing to the prior art or all or part of the technical solution in the form of a software product stored in a storage medium, comprising several instructions for executing all or part of the steps of the method according to the embodiments of the present application by means of a computer device (which may be a personal computer, a server, or a network device, etc.). And the aforementioned storage medium includes: u disk, mobile hard disk, read-Only Memory (ROM), random access Memory (RandomAccess Memory, RAM), magnetic disk or optical disk, etc.
The above embodiments are only for illustrating the technical solution of the present application, and not for limiting the same; although the application has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit and scope of the technical solutions of the embodiments of the present application.
Claims (10)
1. A method of duress face recognition, comprising:
dividing a face recognition area of a camera in an access control system to obtain a stress area;
collecting a face image to be detected;
determining a face area where a face in the face image to be detected is located according to the face image to be detected;
When the face area is in the stress area, carrying out face recognition on the face in the face image to be detected in the stress area;
and when the identification is successful, judging whether the identification times of the human face reach the preset times, if so, outputting the human face in the human face image to be detected as a stressed human face, and if not, returning to the step of collecting the human face image to be detected.
2. The duress face recognition method according to claim 1, wherein the determining, according to the face image to be detected, a face area in which a face in the face 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 in the face image to be detected is located according to the face frame coordinates.
3. The method for duress face recognition according to claim 1, wherein the determining a face area where a face in the face image to be detected is located according to the face image to be detected further comprises:
When the face area is in the non-stressed area, the face in the face image to be detected is identified in the non-stressed area, and when the identification is successful, the entrance guard switch is controlled to be opened.
4. The method of claim 1, wherein the outputting the face in the face image to be detected is a duress face, and further comprising:
The entrance guard switch is normally opened, and alarm information is sent to a background security center, wherein the alarm information is used for enabling related personnel to know that a user of the face is stressed.
5. A duress face recognition device, comprising:
The division unit is used for dividing the face recognition area of the camera in the access control system to obtain a stress area;
The acquisition unit is used for acquiring the 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 recognition unit is used for recognizing the face in the face image to be detected in the stress area when the face area is in the stress area;
And the judging unit is used for judging whether the recognition times of the human face reach the preset times or not when the recognition is successful, outputting the human face in the human face image to be detected as the stressed human face if the recognition times reach the preset times, and triggering the acquisition unit if the recognition times are not successful.
6. The duress face recognition device of claim 5, wherein 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 in the face image to be detected is located according to the face frame coordinates.
7. The duress face recognition device of 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-stressed area when the face area is in the non-stressed area, and controlling the entrance guard switch to be opened when the identification is successful.
8. The duress face recognition device of claim 5, further comprising:
and the alarm unit is used for normally opening the entrance guard switch and sending alarm information to a background security center, wherein the alarm information is used for enabling related personnel to know that the user of the face is stressed.
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 perform the duress face recognition method of any one of claims 1-4 according to instructions in the program code.
10. A computer readable storage medium for storing program code for performing the duress face recognition method of any of claims 1-4.
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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 |
| CN112837462B (en) * | 2020-12-31 | 2023-05-12 | 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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