CN108170750A - A kind of face database update method, system and terminal device - Google Patents
A kind of face database update method, system and terminal device Download PDFInfo
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Abstract
The present invention is suitable for technical field of face recognition, provides a kind of face database update method, system and terminal device.Including：Obtain facial image；The facial image is analyzed, obtains the confidence level and frequency of occurrence of the facial image；The being associated property of facial image is analyzed, obtains the related information of the facial image；Face database is updated according to the confidence level, frequency of occurrence and the related information.By obtaining facial image, face database is updated according to the frequency of occurrence of facial image and confidence level, and at the same time update the related information of the facial image, face database is updated effectively in real time, convenience implements real time monitoring to the crowd that deploys to ensure effective monitoring and control of illegal activities, and efficiently solve the problems, such ass that face recognition database's presence can not real-time update in the prior art.
Description
Technical field
The invention belongs to a kind of technical field of face recognition more particularly to face database update method, system and terminals
Equipment.
Background technology
Face recognition technology is the biological identification technology that a kind of facial feature information based on people carries out identification, with
The rapid development of artificial intelligence analysis's technology, face recognition technology is more applied in safety monitoring industry, recognition of face
Technology passes through front end and captures equipment and shoot facial image and back-end services as security protection industry most widely used technology at present
Device equipment analyzes and processes facial image, can realize that face is deployed to ensure effective monitoring and control of illegal activities, dynamic comparison early warning, personnel's trajectory track is inquired and people
The functions such as member's identity discriminating.However, in existing recognition of face compares application, it is desirable to provide a large amount of face database.Mesh
Before, which is mainly to be provided by user or by being obtained with the connection of public business.However, by user
The there is provided or face database by being got with public business connection can not real-time update, thus can not be to cloth
Control crowd implements real time monitoring.
In conclusion there are problems that can not real-time update by face recognition database in the prior art.
Invention content
In view of this, an embodiment of the present invention provides a kind of face database update method, system and terminal device, with solution
Certainly there are problems that can not real-time update by face recognition database in the prior art.
The first aspect of the embodiment of the present invention provides a kind of face database update method, including：
Obtain facial image；
The facial image is analyzed, obtains the confidence level and frequency of occurrence of the facial image；
The being associated property of facial image is analyzed, obtains the related information of the facial image；
Face database is updated according to the confidence level, frequency of occurrence and the related information.
The second aspect of the embodiment of the present invention provides a kind of face database more new system, including：
Image collection module, for obtaining facial image；
Analysis module for analyzing the facial image, obtains confidence level and the appearance of the facial image
The frequency；
Relating module for analyzing the being associated property of facial image, obtains the related information of the facial image；
Update module, for being carried out according to the confidence level, frequency of occurrence and the related information to face database
Update.
The third aspect of the embodiment of the present invention provides a kind of terminal device, including memory, processor and is stored in
In the memory and the computer program that can run on the processor, when the processor performs the computer program
Realize following steps：
Obtain facial image；
The facial image is analyzed, obtains the confidence level and frequency of occurrence of the facial image；
The being associated property of facial image is analyzed, obtains the related information of the facial image；
Face database is updated according to the confidence level, frequency of occurrence and the related information.
The fourth aspect of the embodiment of the present invention provides a kind of computer readable storage medium, the computer-readable storage
Media storage has computer program, and the computer program realizes following steps when being executed by processor：
Obtain facial image；
The facial image is analyzed, obtains the confidence level and frequency of occurrence of the facial image；
The being associated property of facial image is analyzed, obtains the related information of the facial image；
Face database is updated according to the confidence level, frequency of occurrence and the related information.
A kind of face database update method provided by the invention, system and terminal device, by obtaining facial image, root
Face database is updated according to the frequency of occurrence and confidence level of facial image, and at the same time updating the association of the facial image
Information is effectively in real time updated face database, convenient to implement real time monitoring to the crowd that deploys to ensure effective monitoring and control of illegal activities, and efficiently solves existing
With the presence of face recognition database in technology can not real-time update the problem of.
Description of the drawings
It to describe the technical solutions in the embodiments of the present invention more clearly, below will be to embodiment or description of the prior art
Needed in attached drawing be briefly described, it should be apparent that, the accompanying drawings in the following description be only the present invention some
Embodiment, for those of ordinary skill in the art, without having to pay creative labor, can also be according to these
Attached drawing obtains other attached drawings.
Fig. 1 is a kind of realization flow diagram for face database update method that the embodiment of the present invention one provides；
Fig. 2 is the realization flow diagram of one step S102 of corresponding embodiment provided by Embodiment 2 of the present invention；
Fig. 3 is the realization flow diagram for the one step S103 of corresponding embodiment that the embodiment of the present invention three provides；
Fig. 4 is the realization flow diagram for the one step S104 of corresponding embodiment that the embodiment of the present invention four provides；
Fig. 5 is a kind of structure diagram for face database more new system that the embodiment of the present invention five provides；
Fig. 6 is the structure diagram of analysis module 102 in the corresponding embodiment four that the embodiment of the present invention six provides；
Fig. 7 is the structure diagram of relating module 103 in the corresponding embodiment four that the embodiment of the present invention seven provides；
Fig. 8 is the structure diagram of update module 104 in the corresponding embodiment four that the embodiment of the present invention eight provides；
Fig. 9 is the schematic diagram for the terminal device that the embodiment of the present invention nine provides.
Specific embodiment
In being described below, in order to illustrate rather than in order to limit, it is proposed that such as tool of particular system structure, technology etc
Body details, to understand thoroughly the embodiment of the present invention.However, it will be clear to one skilled in the art that there is no these specifically
The present invention can also be realized in the other embodiments of details.In other situations, it omits to well-known system, device, electricity
Road and the detailed description of method, in case unnecessary details interferes description of the invention.
The embodiment of the present invention in order to solve the problems, such as in the prior art face recognition database exist can not real-time update, carry
A kind of face database update method, system and terminal device are supplied, by obtaining facial image, according to the appearance of facial image
The frequency and confidence level are updated face database, and at the same time updating the related information of the facial image, effectively in real time
Face database is updated, it is convenient that real time monitoring is implemented to the crowd that deploys to ensure effective monitoring and control of illegal activities, efficiently solve face knowledge in the prior art
Other database there are problems that can not real-time update.
In order to illustrate technical solutions according to the invention, illustrated below by specific embodiment.
Embodiment one：
As shown in Figure 1, the present embodiment provides a kind of face database update method, specifically include：
Step S101：Obtain facial image.
In a particular application, by human face detection tech, candid photograph is detected to the facial image in monitor video, is obtained
Face images into monitor video.Specifically, monitor video is acquired by monitor video filming apparatus.
In a particular application, while facial image is got, record the facial image it is corresponding obtain the time and
Obtain region.
Step S102：The facial image is analyzed, obtains the confidence level and frequency of occurrence of the facial image.
In a particular application, quality testing analysis is carried out to the face images got.It should be noted that confidence
The quality for weighing facial image is spent, the confidence value the high, shows that the quality of the facial image is better.
In a particular application, in monitor video same person facial image it is possible that repeatedly, it is therefore desirable to remember
Record the frequency of occurrence of the facial image of same person.It should be noted that the frequency of occurrence of facial image is higher, then explanation is at this
This person's occurrence number is more in period and the region, that is to say, that is got over for the possibility of the active regions of the personnel in the region
Greatly.Therefore, the active regions for the personnel that deploy to ensure effective monitoring and control of illegal activities can be searched according to the frequency of occurrence of facial image.
Step S103：The being associated property of facial image is analyzed, obtains the related information of the facial image.
In a particular application, it obtains the facial image got (such as in 1S) in same time or in same area
The facial image got is associated, and is recorded as the related information of the facial image.Illustratively, it is same sometime
In region, facial image B is got while facial image A is obtained, then using facial image B and facial image as face figure
As the related information of A.And the frequency according to occurring simultaneously and occurring with region calculates facial image A and facial image B's
The degree of association.It should be noted that occur simultaneously and higher illustrate facial image A and facial image B with the frequency that region occurs
The degree of association it is higher.It should be noted that above-mentioned related information includes：The association facial image of facial image, the degree of association, acquisition
Position and acquisition time.By related information can filter out with the relevant association facial image of the facial image, be conducive to fast
Speed positions the event trace for the personnel that deploy to ensure effective monitoring and control of illegal activities.Illustratively, the police, can be according to a certain criminal's face figure when cracking partner's crime
The related information of picture inquires the facial image of partner.It should be noted that a facial image can be associated with multiple face figures
Picture.
Step S104：Face database is updated according to the confidence level, frequency of occurrence and the related information.
In a particular application, after facial image is got, by the people in the facial image and existing face database
Face image is compared, if there is no the facial images in the face database, which is preserved, and simultaneously
Its related data is preserved, wherein related data includes：Confidence level, frequency of occurrence and the related information of the facial image.It if should
The facial image is had existed in human face data, then judges whether to update in face database according to the confidence level of the facial image
Corresponding facial image.If meeting update condition, which is updated preservation, and preserve its dependency number simultaneously
According to.It should be noted that update condition refers to confidence value not less than update threshold value, update threshold value refers to that the facial image is true
The lowest confidence value of real effective facial image.
In one embodiment, above-mentioned face database update method further includes after step s 104：
Step S105：In preset time period, the face number is deleted according to the frequency of occurrence and the related information
According to the invalid facial image in library.
In a particular application, when the frequency of occurrence of a certain facial image is less than threshold value is deleted in face database, by the people
Face image is classified as invalid facial image, and the invalid facial image is deleted from face database.
In a particular application, incoherent people therewith is filtered out according to the related information of facial image a certain in human face data
The facial image is classified as invalid facial image, and the invalid facial image is deleted from face database by face image.
A kind of face database update method provided in this embodiment is by obtaining facial image, according to going out for facial image
The existing frequency and confidence level are updated face database, and at the same time updating the related information of the facial image, in real time effectively
Ground is updated face database, convenient to implement real time monitoring to the crowd that deploys to ensure effective monitoring and control of illegal activities, and efficiently solves face in the prior art
Identification database there are problems that can not real-time update.
Embodiment two：
As shown in Fig. 2, in the present embodiment, the step S102 in embodiment one is specifically included：
Step S201：The facial image is carried out according to the picture quality of the facial image and face angle of inclination
Analysis obtains the confidence level of the facial image.
In a particular application, the face angle of inclination in the picture quality of facial image and the facial image, which calculates, is somebody's turn to do
The confidence level of facial image.When being updated to face database, by confidence level in the face images of same person most
High facial image is updated in face database.It should also be noted that, quality testing analysis is carried out to the facial image
It can be analyzed according to existing Face datection parser, not limited herein.It should also be noted that, calculate face
The confidence level of image can carry out analysis calculating by picture quality, can also carry out analysis calculating according to face angle of inclination,
Analysis can also be carried out at the same time according to picture quality and face angle of inclination to calculate.
Step S202：The number that the facial image occurs is recorded, obtains the frequency of occurrence of the facial image.
In a particular application, after getting facial image, the number of certain period and the appearance of certain region facial image is recorded,
Using the number that the facial image occurs as the frequency of occurrence of the facial image.Specifically, by with the people in face database
Identification is compared in face image, obtains the frequency of occurrence of the facial image, and is updated, if not deposited in current face's database
In the facial image, then the facial image is preserved, and the frequency of occurrence for the facial image being recorded is corresponded to and is preserved.If
There are the facial image in the face database, then by the people in the frequency of occurrence and face database of the facial image being recorded
The frequency of occurrence of face image is overlapped, and the frequency of occurrence after superposition is saved as to the frequency of occurrence of the facial image.
Embodiment three：
As shown in figure 3, in the present embodiment, the step S103 in embodiment one is specifically included：
Step S301：The acquisition time of the facial image and acquisition region are associated with the facial image.
In a particular application, it is associated in the facial image by the acquisition time of facial image and acquisition region, specifically
, the acquisition time of the facial image and acquisition region are stored in human face data simultaneously as related information and the facial image
In library.
Step S302：The association face figure for matching the facial image is associated with acquisition region according to the acquisition time
Picture.
In a particular application, the facial image that will be got in same time, in the facial image that same area is got
It is associated, obtains the association facial image of the facial image.Illustratively, it in the same area sometime, is obtaining
Facial image B is got while facial image A, then facial image B is associated with face with facial image as facial image A
Image.It should be noted that a facial image can have multiple association facial images.
Example IV：
As shown in figure 4, in the present embodiment, the step S104 in embodiment one is specifically included：
Step S401：Identification is compared with face database for the facial image, obtains matching identification result.
In a particular application, it whether there is facial image in the existing face database of matching identification.If in the presence of identifying
As a result it is yes, if being not present, recognition result is no.
Step S402：Judge whether the facial image being updated to according to the confidence level and the matching identification result
In the face database.
In a particular application, if the recognition result is no, illustrate the facial image is not present in the face database, this
When, facial image update is preserved into face database；If the recognition result is yes, illustrate exist in face database
The facial image, at this point, judging whether the confidence level of the facial image is not less than update threshold value, if the confidence level of the facial image
Less than update threshold value, then the facial image is not updated；If the confidence level of the facial image, will not less than update threshold value
Facial image update is preserved into face database.
Step S403：If so, by the facial image, the frequency of occurrence of the facial image and the facial image
Related information be updated to the face database.
In a particular application, it when by facial image update to the face database, needs the facial image
The related information of frequency of occurrence and the facial image updates simultaneously with the facial image to be saved in face database, after convenient
It is continuous that the relevant information of the facial image is searched, it is convenient that real time monitoring is implemented to the crowd that deploys to ensure effective monitoring and control of illegal activities.
Embodiment five：
As shown in figure 5, the present embodiment provides a kind of face database more new system 100, for performing in embodiment one
Method and step, including：
Image collection module 101 is used to obtain facial image.
Analysis module 102 obtains the confidence level of the facial image and goes out for analyzing the facial image
The existing frequency.
Relating module 103 is used to analyze the being associated property of facial image, obtains the association letter of the facial image
Breath.
Update module 104 be used for according to the confidence level, frequency of occurrence and the related information to face database into
Row update.
In one embodiment, above-mentioned suspect vehicle system 100 of deploying to ensure effective monitoring and control of illegal activities further includes removing module.
Removing module, in preset time period, the people to be deleted according to the frequency of occurrence and the related information
Invalid facial image in face database.
It should be noted that face database provided in an embodiment of the present invention more new system, due to shown in Fig. 1 of the present invention
Embodiment of the method is based on same design, and the technique effect brought is identical with embodiment of the method shown in Fig. 1 of the present invention, particular content
The narration in embodiment of the method shown in Fig. 1 of the present invention is can be found in, details are not described herein again.
Embodiment six：
As shown in fig. 6, in the present embodiment, the analysis module 102 in embodiment five includes performing corresponding to Fig. 2
The structure of method and step in embodiment, including：
Analytic unit 201 is used for picture quality and face angle of inclination according to the facial image to the face figure
As being analyzed, the confidence level of the facial image is obtained.
Recording unit 202 is used to record the number that the facial image occurs, and obtains the frequency of occurrence of the facial image.
Embodiment seven：
As shown in fig. 7, in the present embodiment, the relating module 103 in embodiment five includes performing corresponding to Fig. 3
The structure of method and step in embodiment, including：
Associative cell 301 is used to close the acquisition time of the facial image and acquisition region with the facial image
Connection.
Acquiring unit 302 is used to be associated with the affiliated person for matching the facial image with acquisition region according to the acquisition time
Face image.
Embodiment eight：
As shown in figure 8, in the present embodiment, the update module 104 in embodiment five includes performing corresponding to Fig. 4
The structure of method and step in embodiment, including：
Matching identification unit 401 is used to facial image identification being compared with face database, obtains and compares
Recognition result.
Judging unit 402 is used to be judged whether the facial image according to the confidence level and the matching identification result
It is updated in the face database.
If updating unit 403 is for facial image to be updated in the face database, by the facial image, institute
The related information of frequency of occurrence and the facial image for stating facial image is updated to the face database.
Embodiment nine：
Fig. 9 is the schematic diagram for the terminal device that one embodiment of the invention provides.As shown in figure 9, the terminal of the embodiment is set
Standby 9 include：Processor 90, memory 91 and it is stored in the meter that can be run in the memory 91 and on the processor 90
Calculation machine program 92, such as program.The processor 90 realizes above-mentioned each video search side when performing the computer program 92
Step in method embodiment, such as step S101 to S104 shown in FIG. 1.Alternatively, the processor 90 performs the computer
The function of each module/unit in above-mentioned video searching system embodiment, such as module 101 to 104 shown in Fig. 5 are realized during program 92
Function.
Illustratively, the computer program 92 can be divided into one or more module/units, it is one or
Multiple module/units are stored in the memory 91, and are performed by the processor 90, to complete the present invention.Described one
A or multiple module/units can be the series of computation machine program instruction section that can complete specific function, which is used for
Implementation procedure of the computer program 92 in the terminal device 9 is described.For example, the computer program 92 can be divided
Image collection module, analysis module, relating module and update module are cut into, each module concrete function is as follows：
Image collection module, for obtaining facial image；
Analysis module for analyzing the facial image, obtains confidence level and the appearance of the facial image
The frequency；
Relating module for analyzing the being associated property of facial image, obtains the related information of the facial image；
Update module, for being carried out according to the confidence level, frequency of occurrence and the related information to face database
Update.
The terminal device 9 can be that the calculating such as desktop PC, notebook, palm PC and cloud server are set
It is standby.The terminal device may include, but be not limited only to, processor 90, memory 91.It will be understood by those skilled in the art that Fig. 9
The only example of terminal device 9 does not form the restriction to terminal device 9, can include than illustrating more or fewer portions
Part either combines certain components or different components, such as the terminal device can also include input-output equipment, net
Network access device, bus etc..
Alleged processor 90 can be central processing unit (Central Processing Unit, CPU), can also be
Other general processors, digital signal processor (Digital Signal Processor, DSP), application-specific integrated circuit
(Application Specific Integrated Circuit, ASIC), ready-made programmable gate array (Field-
Programmable Gate Array, FPGA) either other programmable logic device, discrete gate or transistor logic,
Discrete hardware components etc..General processor can be microprocessor or the processor can also be any conventional processor
Deng.
The memory 91 can be the internal storage unit of the terminal device 9, for example, the hard disk of terminal device 9 or
Memory.The memory 91 can also be the External memory equipment of the terminal device 9, such as be equipped on the terminal device 9
Plug-in type hard disk, intelligent memory card (Smart Media Card, SMC), secure digital (Secure Digital, SD) card,
Flash card (Flash Card) etc..Further, the memory 91 can also both include the storage inside of the terminal device 9
Unit also includes External memory equipment.The memory 91 is used to store needed for the computer program and the terminal device
Other programs and data.The memory 91 can be also used for temporarily storing the data that has exported or will export.
It is apparent to those skilled in the art that for convenience of description and succinctly, only with above-mentioned each work(
Can unit, module division progress for example, in practical application, can be as needed and by above-mentioned function distribution by different
Functional unit, module are completed, i.e., the internal structure of described device are divided into different functional units or module, more than completion
The all or part of function of description.Each functional unit, module in embodiment can be integrated in a processing unit, also may be used
To be that each unit is individually physically present, can also two or more units integrate in a unit, it is above-mentioned integrated
The form that hardware had both may be used in unit is realized, can also be realized in the form of SFU software functional unit.In addition, each function list
Member, the specific name of module are not limited to the protection domain of the application also only to facilitate mutually distinguish.Above system
The specific work process of middle unit, module can refer to the corresponding process in preceding method embodiment, and details are not described herein.
In the above-described embodiments, it all emphasizes particularly on different fields to the description of each embodiment, is not described in detail or remembers in some embodiment
The part of load may refer to the associated description of other embodiments.
Those of ordinary skill in the art may realize that each exemplary lists described with reference to the embodiments described herein
Member and algorithm steps can be realized with the combination of electronic hardware or computer software and electronic hardware.These functions are actually
It is performed with hardware or software mode, specific application and design constraint depending on technical solution.Professional technician
Described function can be realized using distinct methods to each specific application, but this realization is it is not considered that exceed
The scope of the present invention.
In embodiment provided by the present invention, it should be understood that disclosed device/terminal device and method, it can be with
It realizes by another way.For example, device described above/terminal device embodiment is only schematical, for example, institute
The division of module or unit is stated, only a kind of division of logic function can have other dividing mode in actual implementation, such as
Multiple units or component may be combined or can be integrated into another system or some features can be ignored or does not perform.Separately
A bit, shown or discussed mutual coupling or direct-coupling or communication connection can be by some interfaces, device
Or the INDIRECT COUPLING of unit or communication connection, can be electrical, machinery or other forms.
The unit illustrated as separating component may or may not be physically separate, be shown as unit
The component shown may or may not be physical unit, you can be located at a place or can also be distributed to multiple
In network element.Some or all of unit therein can be selected according to the actual needs to realize the mesh of this embodiment scheme
's.
In addition, each functional unit in each embodiment of the present invention can be integrated in a processing unit, it can also
That each unit is individually physically present, can also two or more units integrate in a unit.Above-mentioned integrated list
The form that hardware had both may be used in member is realized, can also be realized in the form of SFU software functional unit.
If the integrated module/unit realized in the form of SFU software functional unit and be independent product sale or
In use, it can be stored in a computer read/write memory medium.Based on such understanding, the present invention realizes above-mentioned implementation
All or part of flow in example method, can also instruct relevant hardware to complete, the meter by computer program
Calculation machine program can be stored in a computer readable storage medium, the computer program when being executed by processor, it can be achieved that on
The step of stating each embodiment of the method..Wherein, the computer program includes computer program code, the computer program
Code can be source code form, object identification code form, executable file or certain intermediate forms etc..Computer-readable Jie
Matter can include：Can carry the computer program code any entity or device, recording medium, USB flash disk, mobile hard disk,
Magnetic disc, CD, computer storage, read-only memory (ROM, Read-Only Memory), random access memory (RAM,
Random Access Memory), electric carrier signal, telecommunication signal and software distribution medium etc..It is it should be noted that described
The content that computer-readable medium includes can carry out appropriate increasing according to legislation in jurisdiction and the requirement of patent practice
Subtract, such as in certain jurisdictions, according to legislation and patent practice, computer-readable medium do not include be electric carrier signal and
Telecommunication signal.
Embodiment described above is merely illustrative of the technical solution of the present invention, rather than its limitations；Although with reference to aforementioned reality
Example is applied the present invention is described in detail, it will be understood by those of ordinary skill in the art that：It still can be to aforementioned each
Technical solution recorded in embodiment modifies or carries out equivalent replacement to which part technical characteristic；And these are changed
Or replace, the spirit and scope for various embodiments of the present invention technical solution that it does not separate the essence of the corresponding technical solution should all
It is included within protection scope of the present invention.
Claims (10)
1. a kind of face database update method, which is characterized in that the face database update method includes：
Obtain facial image；
The facial image is analyzed, obtains the confidence level and frequency of occurrence of the facial image；
The being associated property of facial image is analyzed, obtains the related information of the facial image；
Face database is updated according to the confidence level, frequency of occurrence and the related information.
2. face database update method according to claim 1, which is characterized in that described to be carried out to the facial image
Analysis obtains the confidence level and frequency of occurrence of the facial image, including：
The facial image is analyzed according to the picture quality of the facial image and face angle of inclination, described in acquisition
The confidence level of facial image；
The number that the facial image occurs is recorded, obtains the frequency of occurrence of the facial image.
3. face database update method according to claim 1, which is characterized in that described to be carried out to the facial image
Correlation analysis obtains the related information of the facial image, including：
The acquisition time of the facial image and acquisition region are associated with the facial image；
The association facial image for matching the facial image is associated with acquisition region according to the acquisition time.
4. face database update method according to claim 1, which is characterized in that it is described according to the confidence level, go out
The existing frequency and the related information are updated face database, including：
Identification is compared with face database for the facial image, obtains matching identification result；
Judge whether the facial image being updated to the human face data according to the confidence level and the matching identification result
In library；
If so, by the related information of the facial image, the frequency of occurrence of the facial image and the facial image more
The new extremely face database.
5. face database update method according to any one of claims 1 to 4, which is characterized in that the face number
According to library update method, further include：
In preset time period, the invalid people in the face database is deleted according to the frequency of occurrence and the related information
Face image.
6. a kind of face database more new system, which is characterized in that the system comprises：
Image collection module, for obtaining facial image；
Analysis module for analyzing the facial image, obtains the confidence level and frequency of occurrence of the facial image；
Relating module for analyzing the being associated property of facial image, obtains the related information of the facial image；
Update module, for being updated according to the confidence level, frequency of occurrence and the related information to face database.
7. face database according to claim 6 more new system, which is characterized in that the analysis module includes：
Analytic unit carries out the facial image for the picture quality according to the facial image and face angle of inclination
Analysis obtains the confidence level of the facial image；
Recording unit for recording the number that the facial image occurs, obtains the frequency of occurrence of the facial image.
8. face database according to claim 6 more new system, which is characterized in that the relating module includes：
Associative cell, for the acquisition time of the facial image and acquisition region to be associated with the facial image；
Acquiring unit, for being associated with the association face figure for matching the facial image with acquisition region according to the acquisition time
Picture.
9. a kind of terminal device, including memory, processor and it is stored in the memory and can be on the processor
The computer program of operation, which is characterized in that the processor realizes such as claim 1 to 5 when performing the computer program
The step of any one the method.
10. a kind of computer readable storage medium, the computer-readable recording medium storage has computer program, and feature exists
In when the computer program is executed by processor the step of realization such as any one of claim 1 to 5 the method.
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