CN107291810B - Data processing method, device and storage medium - Google Patents
Data processing method, device and storage medium Download PDFInfo
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Abstract
An embodiment of the present invention provides a kind of data processing method, device and storage medium, the described method includes：Obtain the identity information of object to be checked；N number of facial image is obtained from registered user storehouse according to the identity information, the N is positive integer；It is scanned for according to N number of facial image in video library, obtains M target image, the M is the integer more than 1；The M target image is screened, obtains K target image, the K is the positive integer less than the M；The moving position of the object to be checked is determined according to the K target image.The moving position of target person can be inquired according to partial information by the embodiment of the present invention.
Description
Technical field
The present invention relates to technical field of video monitoring, and in particular to a kind of data processing method, device and storage medium.
Background technology
With economic, society, the fast development of culture, growing day by day, more and more population from other places of impact at home and abroad power
City is flowed to, these populations increase while urbanization process is accelerated, and the challenge of bigger is also brought for city management, although,
Video monitoring provides urban safety technical support, and still, at present, camera is laid out in city and comes, respectively
The function of a camera is more independent, when needing to search for some target person, more often simply knows that the part of user is closed
Key information, for example, how ID card No., thus, inquire the moving position problems demand of target person according to partial information
It solves.
The content of the invention
An embodiment of the present invention provides a kind of data processing method and device, to inquire target person according to partial information
The moving position of object.
First aspect of the embodiment of the present invention provides a kind of data processing method, including：
Obtain the identity information of object to be checked；
N number of facial image is obtained from registered user storehouse according to the identity information, the N is positive integer；
It is scanned for according to N number of facial image in video library, obtains M target image, the M is more than 1
Integer；
The M target image is screened, obtains K target image, the K is the positive integer less than the M；
The moving position of the object to be checked is determined according to the K target image.
With reference to the embodiment of the present invention in a first aspect, in the first possible embodiment of first aspect, in the identity
It is described that N number of facial image is obtained from registered user storehouse according to the identity information when information is ID card No., including：
According to the ID card No. obtain the object to be checked registration facial image and/or, with the identity card
The facial image of at least one account of number-associated obtains N number of facial image.
And then the as above embodiment of the present invention, it can not only be obtained by ID card No. according to ID card No. to be checked
Object handles registration facial image when identity card, can also obtain and the associated at least one account of the ID card No.
Facial image, in this way, subsequent query can be carried out according to the plurality of facial image by multiple facial images of object to be checked
Operation.
With reference to first aspect of the embodiment of the present invention or the first possible embodiment of first aspect, the of first aspect
It is described to be scanned for according to N number of facial image in video library in two kinds of possible embodiments, including：
Determine the possibility active regions of the object to be checked；
Obtain the corresponding video library of the possible active regions；
Each facial image in N number of facial image scans in the video library, obtains P face
Image；
Image quality evaluation is carried out to each facial image in the P facial image, obtains the P picture quality
Evaluation of estimate；
The image quality evaluation that image quality evaluation values are more than predetermined threshold value is chosen from the P image quality evaluation values
Value, obtains the M image quality evaluation values, obtains its corresponding facial image, and the P is the positive integer more than the M.
And then the as above embodiment of the present invention, it can be in possible active regions, by being searched to its corresponding video library
Rope, so as to obtain the facial image of object to be checked.
With reference to first aspect of the embodiment of the present invention or the first possible embodiment of first aspect, the of first aspect
It is described that the M target image is screened in three kinds of possible embodiments, including：
The target image that facial angle meets predetermined angle scope is chosen from the M target image, obtains Q face
Image；
Obtain the face marker characteristic of the object to be checked；
The Q facial image is screened according to the face marker characteristic, the Q is the integer more than the K.
And then the as above embodiment of the present invention, face figure that can be by facial angle and face marker characteristic to searching
As being screened, the recognition accuracy of the facial image of object to be checked is promoted.
With reference to first aspect of the embodiment of the present invention or the first possible embodiment of first aspect, the of first aspect
In four kinds of possible embodiments, the moving position that the object to be checked is determined according to the K target image, including：
The corresponding camera identification information of each target image in the K target image is obtained, obtains the K camera shooting
Head identification information；
The moving position of the object to be checked is determined according to the K camera identification information.
And then the as above embodiment of the present invention, the moving position of object to be checked can be determined by the facial image searched.
With reference to the first of first aspect of the embodiment of the present invention or first aspect to the 4th kind of any possible embodiment,
In 5th kind of possible embodiment of first aspect, the identity information is following at least one：
ID card No., telephone number, name, diploma number, house number, bank's card number, social account, job number and
The number-plate number.
Second aspect of the embodiment of the present invention provides a kind of data processing equipment, including：
First acquisition unit, for obtaining the identity information of object to be checked；
Second acquisition unit, for obtaining N number of facial image, the N from registered user storehouse according to the identity information
For positive integer；
Search unit for being scanned for according to N number of facial image in video library, obtains M target image, institute
It is the integer more than 1 to state M；
Screening unit for being screened to the M target image, obtains K target image, the K is less than institute
State the positive integer of M；
Determination unit, for determining the moving position of the object to be checked according to the K target image.
With reference to second aspect of the embodiment of the present invention, in the first possible embodiment of second aspect, in the identity
When information is ID card No., the second acquisition unit is specifically used for：
According to the ID card No. obtain the object to be checked registration facial image and/or, with the identity card
The facial image of at least one account of number-associated obtains N number of facial image.
With reference to second aspect of the embodiment of the present invention or the first possible embodiment of second aspect, the of second aspect
In two kinds of possible embodiments, described search unit includes：
First determining module, for determining the possibility active regions of the object to be checked；
First acquisition module, for obtaining the corresponding video library of the possible active regions；
Search module is searched for each facial image in N number of facial image in the video library
Rope obtains P facial image；
Evaluation module for carrying out image quality evaluation to each facial image in the P facial image, obtains institute
State P image quality evaluation values；
First chooses module, for choosing image quality evaluation values from the P image quality evaluation values more than default
The image quality evaluation values of threshold value obtain the M image quality evaluation values, obtain its corresponding facial image, and the P is big
In the positive integer of the M.
With reference to second aspect of the embodiment of the present invention or the first possible embodiment of second aspect, the of second aspect
In three kinds of possible embodiments, the screening unit includes：
Second chooses module, for choosing the mesh that facial angle meets predetermined angle scope from the M target image
Logo image obtains Q facial image；
Second acquisition module, for obtaining the face marker characteristic of the object to be checked；
Screening module, for being screened according to the face marker characteristic to the Q facial image, the Q is big
In the integer of the K.
With reference to second aspect of the embodiment of the present invention or the first possible embodiment of second aspect, the of second aspect
In four kinds of possible embodiments, the determination unit includes：
3rd acquisition module, for obtaining the corresponding camera identification letter of each target image in the K target image
Breath, obtains the K camera identification information；
Second determining module, for determining the activity bit of the object to be checked according to the K camera identification information
It puts.
With reference to the first of second aspect of the embodiment of the present invention or second aspect to any possible embodiment in the 4th kind,
In the 5th kind of possible embodiment of second aspect, the identity information is following at least one：
ID card No., telephone number, name, diploma number, house number, bank's card number, social account, job number and
The number-plate number.
The third aspect of the embodiment of the present invention provides a kind of computer readable storage medium, is stored with computer program, institute
Computer program is stated to be executed by processor to realize the side as described in any possible embodiment of first aspect or first aspect
Method.
Implement the embodiment of the present invention, have the advantages that：
As can be seen that by the embodiment of the present invention, the identity information of object to be checked is obtained, according to the identity information from note
N number of facial image is obtained in volume user library, N is positive integer, is scanned for according to N number of facial image in video library, obtains M
Target image, M are the integer more than 1, and M target image is screened, and obtain K target image, and K is just whole less than M
Number determines the moving position of object to be checked according to K target image.So as to, using the identity information of object to be checked, from
The facial image of the object to be checked is obtained in registered user storehouse, and then, target image, final basis are searched out from video library
Target image determines the moving position of object to be checked.In this way, the object for needing to inquire about can be inquired using partial information
Moving position.
Description of the drawings
To describe the technical solutions in the embodiments of the present invention more clearly, make required in being described below to embodiment
Attached drawing is briefly described, it should be apparent that, the accompanying drawings in the following description is some embodiments of the present invention, for ability
For the those of ordinary skill of domain, without creative efforts, it can also be obtained according to these attached drawings other attached
Figure.
Fig. 1 is a kind of first embodiment flow diagram of data processing method provided in an embodiment of the present invention；
Fig. 2 is a kind of second embodiment flow diagram of data processing method provided in an embodiment of the present invention；
Fig. 3 a are a kind of first embodiment structure diagrams of data processing equipment provided in an embodiment of the present invention；
Fig. 3 b are the structural representations of the search unit of the described data processing equipments of Fig. 3 a provided in an embodiment of the present invention
Figure；
Fig. 3 c are the structural representations of the screening unit of the described data processing equipments of Fig. 3 a provided in an embodiment of the present invention
Figure；
Fig. 3 d are the structural representations of the determination unit of the described data processing equipments of Fig. 3 a provided in an embodiment of the present invention
Figure；
Fig. 4 is a kind of second embodiment structure diagram of data processing equipment provided in an embodiment of the present invention.
Specific embodiment
Below in conjunction with the attached drawing in the embodiment of the present invention, the technical solution in the embodiment of the present invention is carried out clear, complete
Site preparation describes, it is clear that described embodiment is part of the embodiment of the present invention, instead of all the embodiments.Based on this hair
Embodiment in bright, the every other implementation that those of ordinary skill in the art are obtained without creative efforts
Example, belongs to the scope of protection of the invention.
Term " first ", " second ", " the 3rd " in description and claims of this specification and the attached drawing and "
Four " etc. be for distinguishing different objects rather than for describing particular order.In addition, term " comprising " and " having " and it
Any deformation, it is intended that cover non-exclusive include.Such as it contains the process of series of steps or unit, method, be
The step of system, product or equipment are not limited to list or unit, but optionally further include the step of not listing or list
Member is optionally further included for the intrinsic other steps of these processes, method, product or equipment or unit.
Referenced herein " embodiment " is it is meant that a particular feature, structure, or characteristic described can wrap in conjunction with the embodiments
Containing at least one embodiment of the present invention.It is identical that each position in the description shows that the phrase might not be each meant
Embodiment, nor the independent or alternative embodiment with other embodiments mutual exclusion.Those skilled in the art explicitly and
Implicitly understand, embodiment described herein can be combined with other embodiments.
Data processing equipment described by the embodiment of the present invention can include smart mobile phone (such as Android phone, iOS mobile phones,
Windows Phone mobile phones etc.), tablet computer, palm PC, laptop, mobile internet device (MID, Mobile
Internet Devices) or Wearable etc., above-mentioned is only citing, and non exhaustive, including but not limited to above device, when
So, above-mentioned data processing equipment can also be server.
It should be noted that the data processing equipment in the embodiment of the present invention can be connected with multiple cameras, each camera shooting
Head is used equally for capturing video image, each camera can there are one corresponding position mark, alternatively, can there are one with
Corresponding number.Under normal conditions, camera may be provided at public place, for example, school, museum, crossroad, walking
Street, office building, garage, airport, hospital, subway station, station, bus platform, supermarket, hotel, public place of entertainment etc..Camera exists
After taking video image, the memory of system where which can be saved in data processing equipment.It can in memory
Multiple registered images storehouses are stored with, multiple storage objects can be included in registered images storehouse, each storage object corresponds to an identity
Information collection, the set of identity information include at least one of following content：At least one registration facial image, ID card No., family
Address, kinsfolk, political ingredient, nationality, telephone number, name, diploma number, student number, house number, bank's card number,
Social account, job number and number-plate number etc..
Still optionally further, in the embodiment of the present invention, each frame video image of camera shooting corresponds to an attribute
Information, attribute information are following at least one：Camera number, the shooting time of video image, the position of video image, video
Character features attribute in the property parameters (form, size, resolution ratio etc.) of image, the number and video image of video image.
Character features attribute in above-mentioned video image may include but be not limited only to：Personage's number in video image, character positions, people
Face angle etc..
Explanation is needed further exist for, the video image of each camera acquisition is usually dynamic human face image, thus, this
The angle information of facial image can be planned in inventive embodiments, above-mentioned facial angle may include but be not limited only to：Water
Flat rotational angle, pitch angle or gradient.For example, can define dynamic human face image data two spacing of requirement is not less than 30 pictures
Element, it is proposed that more than 60 pixels.Horizontally rotate angle no more than ± 30 °, pitch angle be no more than ± 20 °, inclination angle be no more than ±
45°.Recommended levels rotational angle is no more than ± 15 ° no more than ± 15 °, pitch angle no more than ± 10 °, inclination angle.For example, may be used also
It is screened to whether facial image is blocked by other objects, it is generally the case that jewelry should not block face's main region, jewelry
Such as dark sunglasses, mask and exaggeration jewellery, it is of course also possible to be covered with dust all over above camera, cause facial image to be hidden
Gear, thus, the video image shot is caused to be present with the unsharp situation in part.Video image in the embodiment of the present invention
Picture format may include but be not limited only to：BMP, JPEG, JPEG2000, PNG etc., size can between 10-30KB,
Each video image can also correspond to a shooting time and shoot the camera Unified number and face of the video image
The information such as the link of the big figure of the corresponding panorama of image (facial image and global picture establish feature correspondence relational file).
Referring to Fig. 1, the first embodiment flow diagram for a kind of data processing method provided in an embodiment of the present invention.
Data processing method described in the present embodiment, comprises the following steps：
101st, the identity information of object to be checked is obtained.
Wherein, for object to be checked to need the object inquired about, identity information can be following at least one：ID card No.,
Telephone number, name, diploma number, student number, house number, bank's card number, social account, job number and the number-plate number.Wherein,
Data processing equipment can receive input instruction, which is used to input following at least one information：ID card No., phone
Number, name, diploma number, student number, house number, bank's card number, social account, job number and the number-plate number.Certainly, data
Processing unit can also scan identity card, so as to obtain at least one in following information：Identification card number, address information go out
Phase birthday, name etc..
102nd, N number of facial image is obtained from registered user storehouse according to the identity information, the N is positive integer.
Wherein, identity information can be matched with the log-on message in registered user storehouse, it, can be from for example, identification card number
The storage object identical with the identification card number is matched in registered user storehouse, and then, at least one of the storage object can be obtained
Facial image.Every an object in registered user storehouse can be previously stored with one or multiple facial images.
Optionally, it is described to be believed according to the identity when the identity information is ID card No. in above-mentioned steps 102
Breath obtains N number of facial image from registered user storehouse, including：
According to the ID card No. obtain the object to be checked registration facial image and/or, with the identity card
The facial image of at least one account of number-associated obtains N number of facial image.
Wherein, data processing equipment can directly acquire ID card information according to ID card No., so as to can obtain identity card
Registration facial image, can also obtain in registered user storehouse it is corresponding storage object account and with the account binding
Other accounts, in this way, N number of facial image can be got.
103rd, scanned for according to N number of facial image in video library, obtain M target image, the M be more than
1 integer.
Wherein, have it is above-mentioned understand, since data processing equipment is connected with multiple cameras, thus, the plurality of take the photograph can be obtained
Can record history video as corresponding video library, in the video library can also record current video image.It is filled in data processing
It puts when being scanned for according to N number of facial image in video library, M target image is can obtain, certainly, in the M target image
It is not necessarily all the facial image of object to be checked, it is also possible to which there are the facial images of misrecognition.
Further, since a facial image, in recognition of face, there are certain identification errors.Thus, it can be used to same
Multiple facial images of an object carry out recognition of face.In step 103, N, then can will be each in N number of facial image when more than 1
Facial image scans in video library, and each facial image can search for a results set, and N number of facial image is then
N number of results set is can search for, takes the intersection of N number of results set, then can more accurately search target image, for example,
Two facial images, one searches target image as A, B and C, another searches target image as B, C and D, then by two
The target image that facial image common search arrives is just B and C.
Optionally, in above-mentioned steps 103, scanned for according to N number of facial image in video library, it may include as follows
Step：
31) the possibility active regions of the object to be checked, are determined；
32) the corresponding video library of the possible active regions, is obtained；
33), each facial image in N number of facial image scans for, and obtains P facial image；
34) image quality evaluation, is carried out to each facial image in the P facial image, obtains the P image
Quality evaluation value；
35) picture quality that image quality evaluation values are more than predetermined threshold value, is chosen from the P image quality evaluation values
Evaluation of estimate obtains the M image quality evaluation values, obtains its corresponding facial image, and the P is just whole more than the M
Number.
Wherein, data processing equipment can receive possible active regions input by user, alternatively, can be obtained from registered user storehouse
Take the possibility active regions of the object to be checked.And then the corresponding video library of the possible active regions can be obtained, certainly, this is regarded
Frequency storehouse includes at least a video segment.It can be scanned for, obtained from video library according to each facial image in N number of facial image
To P facial image, thus, image quality evaluation can be carried out to P facial image, obtain P image quality evaluation values.It is default
Threshold value can voluntarily be set by user or system default.It is big image quality evaluation values can be chosen from P image quality evaluation values
In the image quality evaluation values of predetermined threshold value, M image quality evaluation values are obtained, obtain its corresponding facial image, obtain M
Facial image, P are the positive integer more than M.In this way, target image is not only can search for, it can also be to a certain extent to inquiry
As a result screened.
Further, in above-mentioned steps 34, following means can be used, each facial image in P facial image is carried out
Image quality evaluation：At least one image quality evaluation index can be used, image quality evaluation is carried out to image, obtain image matter
Evaluation of estimate is measured, wherein, image quality evaluation index may include but be not limited only to：Average gray, mean square deviation, entropy, edge conservation degree,
Signal-to-noise ratio etc..The image quality evaluation values that may be defined as are bigger, then picture quality is better.
It should be noted that when being evaluated due to use single evaluation index picture quality, there is certain limitation
Property, therefore, multiple images quality evaluation index, which can be used, evaluates picture quality, and certainly, picture quality is evaluated
When, not image quality evaluation index is The more the better, because image quality evaluation index is more, the meter of image quality assessment process
Calculation complexity is higher, and also not necessarily image quality evaluation effect is better, therefore, in the situation more demanding to image quality evaluation
Under, 2~10 image quality evaluation indexs can be used, picture quality is evaluated.Specifically, image quality evaluation is chosen to refer to
Target number and which index, according to depending on specific implementation situation.Certainly, specifically scene selection picture quality must be also combined to comment
Valency index carries out carrying out under dark situation the image quality index of image quality evaluation selection under image quality evaluation and bright ring border
It can be different.
Optionally, in the case of not high to image quality evaluation required precision, an image quality evaluation index can be used
It is evaluated, for example, carrying out image quality evaluation values to pending image with entropy, it is believed that entropy is bigger, then illustrates picture quality
It is better, on the contrary, entropy is smaller, then illustrate that picture quality is poorer.
Optionally, in the case of higher to image quality evaluation required precision, multiple images quality evaluation may be employed
Index evaluates facial image, can when multiple images quality evaluation index carries out image quality evaluation to facial image
The weight of each image quality evaluation index in the plurality of image quality evaluation index is set, can obtain multiple images quality evaluation
Value, can obtain final image quality evaluation values, for example, three according to the plurality of image quality evaluation values and its corresponding weight
Image quality evaluation index is respectively：A indexs, B indexs and C indexs, the weight of A is a1, and the weight of B is a2, and the weight of C is
A3, using A, B and C to a certain image carry out image quality evaluation when, the corresponding image quality evaluation values of A be b1, the corresponding figures of B
Image quality amount evaluation of estimate is b2, and the corresponding image quality evaluation values of C are b3, then, last image quality evaluation values=a1b1+
a2b2+a3b3.Under normal conditions, image quality evaluation values are bigger, illustrate that picture quality is better.
104th, the M target image is screened, obtains K target image, the K is just whole less than the M
Number.
Optionally, in above-mentioned steps 104, the M target image is screened, it may include following steps：
41) target image that facial angle meets predetermined angle scope, is chosen from the M target image, obtains Q
Facial image；
42) the face marker characteristic of the object to be checked, is obtained；
43), the Q facial image is screened according to the face marker characteristic, obtains K target image, institute
It is the integer more than the K to state Q.
Wherein, data processing equipment can determine the facial angle of each facial image in M facial image, obtain M people
Face angle, above-mentioned predetermined angle scope can voluntarily be set by user or system default.Thus, it can be selected from M facial angle
The corresponding target image of facial angle for meeting predetermined angle scope is taken, obtains Q target image.Above-mentioned face marker characteristic can
For following at least one：Wear glasses, single-edge eyelid, scar, mole, shape of face etc..And then, it can be achieved that according to face marker characteristic to Q
A facial image is screened, and obtains K target image, and Q is the integer more than K.
105th, the moving position of the object to be checked is determined according to the K target image.
Wherein, each target image of K target image corresponds to a camera position, can be using the camera position as this
The moving position of target image.Further, K moving position is can obtain, K zone of action can be connected, obtain band
The event trace of query object.
Optionally, in above-mentioned steps 105, the moving position of the object to be checked is determined according to the K target image,
It may include following steps：
51) the corresponding camera identification information of each target image in the K target image, is obtained, it is a to obtain the K
Camera identification information；
52) moving position of the object to be checked, is determined according to the K camera identification information.
Wherein, above-mentioned camera identification information can be camera number, camera region title or number, camera shooting
The angle of head (when camera is dynamic scan camera).And then each target image in K target image can be obtained and corresponded to
Camera identification information, K camera identification information is obtained, in this way, can be by K camera identification information MAP to map
On, and then, the moving position of object to be checked can be marked.
As can be seen that by the embodiment of the present invention, the identity information of object to be checked is obtained, according to the identity information from note
N number of facial image is obtained in volume user library, N is positive integer, is scanned for according to N number of facial image in video library, obtains M
Target image, M are the integer more than 1, and M target image is screened, and obtain K target image, and K is just whole less than M
Number determines the moving position of object to be checked according to K target image.So as to, using the identity information of object to be checked, from
The facial image of the object to be checked is obtained in registered user storehouse, and then, target image, final basis are searched out from video library
Target image determines the moving position of object to be checked.In this way, the object for needing to inquire about can be inquired using partial information
Moving position.
Consistent with the abovely, referring to Fig. 2, second for a kind of data processing method provided in an embodiment of the present invention implements
Example flow diagram.Data processing method described in the present embodiment, comprises the following steps：
201st, the identity information of object to be checked is obtained.
202nd, N number of facial image is obtained from registered user storehouse according to the identity information, the N is positive integer.
203rd, scanned for according to N number of facial image in video library, obtain M target image, the M be more than
1 integer.
204th, the M target image is screened, obtains K target image, the K is just whole less than the M
Number.
205th, the moving position of the object to be checked is determined according to the K target image.
Wherein, above-mentioned steps 201- steps 205 can refer to the correspondence step 101- steps of the described data processing methods of Fig. 1
Rapid 105.
206th, the corresponding at least one administrative staff of the moving position are determined.
Wherein, data processing equipment can determine the administrator for being in or belonging to moving position.Specifically, A is under the jurisdiction of work
Dynamic position, then can be registered in systems in advance.It alternatively, can by camera progress recognition of face or global positioning system
Determine at least one administrative staff in stir yourself region.
207th, each administrative staff at least one administrative staff send target information, the target information bag
It includes：The full identity information of the object to be checked and the target image corresponding with the administrative staff position.
Wherein, data processing equipment can send target letter to each administrative staff in above-mentioned at least one administrative staff
Breath, the target information include：The full identity information of object to be checked and target figure corresponding with administrative staff position
Picture, in this way, may be such that administrative staff have found object to be checked in time, to manage existing effect in fact.
As can be seen that by the embodiment of the present invention, the identity information of object to be checked is obtained, according to the identity information from note
N number of facial image is obtained in volume user library, N is positive integer, is scanned for according to N number of facial image in video library, obtains M
Target image, M are the integer more than 1, and M target image is screened, and obtain K target image, and K is just whole less than M
Number, the moving position of object to be checked is determined according to K target image, determines the corresponding at least one custodian of the moving position
Member, each administrative staff at least one administrative staff send target information, and target information includes：Object to be checked
Full identity information and target image corresponding with administrative staff position.So as to using the identity of object to be checked
Information obtains the facial image of the object to be checked from registered user storehouse, and then, target image is searched out from video library,
The moving position of object to be checked is finally determined according to target image.In this way, can be inquired using partial information needs to inquire about
Object moving position, the information of object to be checked can also be further sent to administrative staff, may be such that administrative staff and
Shi Faxian objects to be checked, to manage existing effect in fact.
Consistent with the abovely, it is specific as follows below to implement the device of above-mentioned data processing method：
Fig. 3 a are referred to, are a kind of first embodiment structural representation of data processing equipment provided in an embodiment of the present invention
Figure.Data processing equipment described in the present embodiment, including：First acquisition unit 301, second acquisition unit 302, search are single
Member 303, screening unit 304 and determination unit 305, it is specific as follows：
First acquisition unit 301, for obtaining the identity information of object to be checked；
Second acquisition unit 302, for obtaining N number of facial image, institute from registered user storehouse according to the identity information
N is stated as positive integer；
Search unit 303 for being scanned for according to N number of facial image in video library, obtains M target figure
Picture, the M are the integer more than 1；
Screening unit 304 for being screened to the M target image, obtains K target image, the K be less than
The positive integer of the M；
Determination unit 305, for determining the moving position of the object to be checked according to the K target image.
Optionally, the identity information is following at least one：
ID card No., telephone number, name, diploma number, house number, bank's card number, social account, job number and
The number-plate number.
Optionally, when the identity information is ID card No., the second acquisition unit 302 is specifically used for：
According to the ID card No. obtain the object to be checked registration facial image and/or, with the identity card
The facial image of at least one account of number-associated obtains N number of facial image.
Optionally, such as Fig. 3 b, Fig. 3 b are the specific refinement knot of the search unit 303 of the described data processing equipments of Fig. 3 a
Structure, described search unit 303 may include：First determining module 3031, the first acquisition module 3032, search module 3033, evaluation
Module 3034 and first chooses module 3035, specific as follows：
First determining module 3031, for determining the possibility active regions of the object to be checked；
First acquisition module 3032, for obtaining the corresponding video library of the possible active regions；
Search module 3033, for each facial image in N number of facial image in the video library into
Row search, obtains P facial image；
Evaluation module 3034 for carrying out image quality evaluation to each facial image in the P facial image, obtains
To the P image quality evaluation values；
First chooses module 3035, is more than for choosing image quality evaluation values from the P image quality evaluation values
The image quality evaluation values of predetermined threshold value obtain the M image quality evaluation values, obtain its corresponding facial image, the P
To be more than the positive integer of the M.
Optionally, such as Fig. 3 c, Fig. 3 c are the specific refinement knot of the screening unit 304 of the described data processing equipments of Fig. 3 a
Structure, the screening unit 304 may include：Second chooses module 3041, the second acquisition module 3042 and screening module 3043, specifically
It is as follows：
Second chooses module 3041, meets predetermined angle scope for choosing facial angle from the M target image
Target image, obtain Q facial image；
Second acquisition module 3042, for obtaining the face marker characteristic of the object to be checked；
Screening module 3043, for being screened according to the face marker characteristic to the Q facial image, the Q
To be more than the integer of the K.
Optionally, such as Fig. 3 d, Fig. 3 d are the specific refinement knot of the determination unit 305 of the described data processing equipments of Fig. 3 a
Structure, the determination unit 305 may include：3rd acquisition module 3051 and the second determining module 3052, it is specific as follows：
3rd acquisition module 3051, for obtaining the corresponding camera shooting leader of each target image in the K target image
Know information, obtain the K camera identification information；
Second determining module 3052, for determining the work of the object to be checked according to the K camera identification information
Dynamic position.
As can be seen that by the described data processing equipment of the embodiment of the present invention, the identity for obtaining object to be checked is believed
Breath, N number of facial image is obtained from registered user storehouse according to the identity information, N is positive integer, according to N number of facial image regarding
Frequency scans in storehouse, obtains M target image, and M is the integer more than 1, and M target image is screened, obtains K mesh
Logo image, K are the positive integer less than M, and the moving position of object to be checked is determined according to K target image.So as to available to treat
The key message of query object obtains the facial image of the object to be checked from registered user storehouse, and then, it is searched from video library
Rope goes out target image, and the moving position of object to be checked is finally determined according to target image.In this way, it can be looked into using partial information
Ask the object for needing to inquire about.
Consistent with the abovely, referring to Fig. 4, second for a kind of data processing equipment provided in an embodiment of the present invention implements
Example structure diagram.Data processing equipment described in the present embodiment, including：At least one input equipment 1000；At least one
A output equipment 2000；At least one processor 3000, such as CPU；With memory 4000, above-mentioned input equipment 1000, output
Equipment 2000, processor 3000 and memory 4000 are connected by bus 5000.
Wherein, above-mentioned input equipment 1000 concretely touch panel, physical button or mouse.
Above-mentioned output equipment 2000 concretely display screen.
Above-mentioned memory 4000 can be high-speed RAM memory or nonvolatile storage (non-volatile
), such as magnetic disk storage memory.Above-mentioned memory 4000 is above-mentioned input equipment 1000, defeated for storing batch processing code
Go out equipment 2000 and processor 3000 is used to call the program code stored in memory 4000, perform following operation：
Above-mentioned processor 3000, is used for：
Obtain the identity information of object to be checked；
N number of facial image is obtained from registered user storehouse according to the identity information, the N is positive integer；
It is scanned for according to N number of facial image in video library, obtains M target image, the M is more than 1
Integer；
The M target image is screened, obtains K target image, the K is the positive integer less than the M；
The moving position of the object to be checked is determined according to the K target image.
Optionally, the identity information is following at least one：
ID card No., telephone number, name, diploma number, house number, bank's card number, social account, job number and
The number-plate number.
Optionally, the identity information be ID card No. when, above-mentioned processor 3000, according to the identity information from
N number of facial image is obtained in registered user storehouse, including：
According to the ID card No. obtain the object to be checked registration facial image and/or, with the identity card
The facial image of at least one account of number-associated obtains N number of facial image.
Optionally, above-mentioned processor 3000 is scanned for according to N number of facial image in video library, including：
Determine the possibility active regions of the object to be checked；
Obtain the corresponding video library of the possible active regions；
Each facial image in N number of facial image scans in the video library, obtains P face
Image；
Image quality evaluation is carried out to each facial image in the P facial image, obtains the P picture quality
Evaluation of estimate；
The image quality evaluation that image quality evaluation values are more than predetermined threshold value is chosen from the P image quality evaluation values
Value, obtains the M image quality evaluation values, obtains its corresponding facial image, and the P is the positive integer more than the M.
Optionally, above-mentioned processor 3000 screens the M target image, including：
The target image that facial angle meets predetermined angle scope is chosen from the M target image, obtains Q face
Image；
Obtain the face marker characteristic of the object to be checked；
The Q facial image is screened according to the face marker characteristic, the Q is the integer more than the K.
Optionally, above-mentioned processor 3000 determines the moving position of the object to be checked according to the K target image,
Including：
The corresponding camera identification information of each target image in the K target image is obtained, obtains the K camera shooting
Head identification information；
The moving position of the object to be checked is determined according to the K camera identification information.
The embodiment of the present invention also provides a kind of computer storage media, wherein, which can be stored with journey
Sequence, the part or all of step of any data processing method when which performs described in including above method embodiment
Suddenly.
Although combining each embodiment herein, invention has been described, however, implementing the present invention for required protection
In the process, those skilled in the art are by checking the attached drawing, disclosure and the appended claims, it will be appreciated that and it is real
Other variations of the existing open embodiment.In the claims, " comprising " (comprising) word is not excluded for other compositions
Part or step, "a" or "an" are not excluded for multiple situations.Single processor or other units can realize claim
In several functions enumerating.Mutually different has been recited in mutually different dependent some measures, it is not intended that these are arranged
It applies to combine and generates good effect.
It will be understood by those skilled in the art that the embodiment of the present invention can be provided as method, apparatus (equipment) or computer journey
Sequence product.Therefore, in terms of the present invention can be used complete hardware embodiment, complete software embodiment or combine software and hardware
The form of embodiment.Moreover, the calculating for wherein including computer usable program code in one or more can be used in the present invention
The computer program that machine usable storage medium is implemented on (including but not limited to magnetic disk storage, CD-ROM, optical memory etc.)
The form of product.Computer program is stored/distributed in suitable medium, is provided together with other hardware or one as hardware
Part can also use other distribution forms, such as pass through the wired or wireless telecommunication systems of Internet or other.
The present invention be with reference to the embodiment of the present invention method, apparatus (equipment) and computer program product flow chart with/
Or block diagram describes.It should be understood that can by computer program instructions realize flowchart and/or the block diagram in each flow and/
Or the flow in box and flowchart and/or the block diagram and/or the combination of box.These computer program instructions can be provided
To the processor of all-purpose computer, special purpose computer, Embedded Processor or other programmable data processing devices to generate one
A machine so that the instruction generation performed by computer or the processor of other programmable data processing devices is used to implement
The device for the function of being specified in one flow of flow chart or multiple flows and/or one box of block diagram or multiple boxes.
These computer program instructions, which may also be stored in, can guide computer or other programmable data processing devices with spy
Determine in the computer-readable memory that mode works so that the instruction generation being stored in the computer-readable memory includes referring to
Make the manufacture of device, the command device realize in one flow of flow chart or multiple flows and/or one box of block diagram or
The function of being specified in multiple boxes.
These computer program instructions can be also loaded into computer or other programmable data processing devices so that counted
Series of operation steps is performed on calculation machine or other programmable devices to generate computer implemented processing, so as in computer or
The instruction offer performed on other programmable devices is used to implement in one flow of flow chart or multiple flows and/or block diagram one
The step of function of being specified in a box or multiple boxes.
Although with reference to specific features and embodiment, invention has been described, it is clear that, do not departing from this hair
In the case of bright spirit and scope, it can be carry out various modifications and combined.Correspondingly, the specification and drawings are only institute
The exemplary illustration for the present invention that attached claim is defined, and be considered as covered in the scope of the invention arbitrary and all and repair
Change, change, combining or equivalent.Obviously, those skilled in the art various changes and modifications can be made to the invention without
Depart from the spirit and scope of the present invention.If in this way, these modifications and changes of the present invention belong to the claims in the present invention and its
Within the scope of equivalent technologies, then the present invention is also intended to comprising including these modification and variations.
Claims (6)
1. a kind of data processing method, which is characterized in that including：
The identity information of object to be checked is obtained, the identity information is name；
N number of facial image is obtained from registered user storehouse according to the identity information, the N is positive integer；
It is scanned for according to N number of facial image in video library, obtains M target image, the M is the integer more than 1；
The M target image is screened, obtains K target image, the K is the positive integer less than the M；
The moving position of the object to be checked is determined according to the K target image；
Determine the corresponding at least one administrative staff of the moving position；
Each administrative staff at least one administrative staff send target information, and the target information includes：It is described
The full identity information of object to be checked and the target image corresponding with the administrative staff position；
Wherein, it is described that the M target image is screened, including：
The target image that facial angle meets predetermined angle scope is chosen from the M target image, obtains Q face figure
Picture, each facial image are dynamic human face image data, and the predetermined angle scope user is voluntarily set, the predetermined angle
Scope, the predetermined angle scope include：Two spacing horizontally rotate angle no more than ± 15 °, pitching more than 60 pixels
Angle is no more than ± 15 ° no more than ± 10 °, inclination angle；
The face marker characteristic of the object to be checked is obtained, the face marker characteristic is single-edge eyelid；
The Q facial image is screened according to the face marker characteristic, the Q is the integer more than the K；
Wherein, it is described to be scanned for according to N number of facial image in video library, including：
Determine the possibility active regions of the object to be checked；
Obtain the corresponding video library of the possible active regions；
Each facial image in N number of facial image scans in the video library, obtains P face figure
Picture；
Image quality evaluation is carried out to each facial image in the P facial image, obtains the P image quality evaluation
Value；
The image quality evaluation values that image quality evaluation values are more than predetermined threshold value are chosen from the P image quality evaluation values,
The M image quality evaluation values are obtained, obtain its corresponding facial image, the P is the positive integer more than the M.
2. according to the method described in claim 1, it is characterized in that, the identity information be ID card No. when, described
N number of facial image is obtained from registered user storehouse according to the identity information, including：
According to the ID card No. obtain the object to be checked registration facial image and/or, with the ID card No.
The facial image of associated at least one account obtains N number of facial image.
3. method according to claim 1 or 2, which is characterized in that described to be treated according to determining the K target image
The moving position of query object, including：
The corresponding camera identification information of each target image in the K target image is obtained, obtains the K camera shooting leader
Know information；
The moving position of the object to be checked is determined according to the K camera identification information.
4. a kind of data processing equipment, which is characterized in that including：
First acquisition unit, for obtaining the identity information of object to be checked, the identity information is name；
Second acquisition unit, for obtaining N number of facial image from registered user storehouse according to the identity information, the N is just
Integer；
Search unit for being scanned for according to N number of facial image in video library, obtains M target image, the M
To be more than 1 integer；
Screening unit for being screened to the M target image, obtains K target image, and the K is less than the M's
Positive integer；
Determination unit, for determining the moving position of the object to be checked according to the K target image；
The data processing equipment, is additionally operable to：
Determine the corresponding at least one administrative staff of the moving position；
Each administrative staff at least one administrative staff send target information, and the target information includes：It is described
The full identity information of object to be checked and the target image corresponding with the administrative staff position；
The screening unit, including：
Second chooses module, for choosing the target figure that facial angle meets predetermined angle scope from the M target image
Picture obtains Q facial image, and each facial image is dynamic human face image data, and the predetermined angle scope user is voluntarily
It sets, the predetermined angle scope, the predetermined angle scope includes：Two spacing horizontally rotate angle more than 60 pixels
Degree is no more than ± 15 ° no more than ± 15 °, pitch angle no more than ± 10 °, inclination angle；
Second acquisition module, for obtaining the face marker characteristic of the object to be checked, the face marker characteristic is simple eye
Skin；
Screening module, for being screened according to the face marker characteristic to the Q facial image, the Q is more than institute
State the integer of K；
Wherein, described search unit includes：
First determining module, for determining the possibility active regions of the object to be checked；
First acquisition module, for obtaining the corresponding video library of the possible active regions；
Search module is scanned in the video library for each facial image in N number of facial image, obtained
To P facial image；
Evaluation module for carrying out image quality evaluation to each facial image in the P facial image, obtains the P
A image quality evaluation values；
First chooses module, is more than predetermined threshold value for choosing image quality evaluation values from the P image quality evaluation values
Image quality evaluation values, obtain the M image quality evaluation values, obtain its corresponding facial image, the P is more than institute
State the positive integer of M.
5. device according to claim 4, which is characterized in that when the identity information is ID card No., described the
Two acquiring units are specifically used for：
According to the ID card No. obtain the object to be checked registration facial image and/or, with the ID card No.
The facial image of associated at least one account obtains N number of facial image.
6. a kind of computer readable storage medium, is stored with computer program, the computer program is executed by processor with reality
Now such as claim 1-3 any one of them methods.
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| CN108287873B (en) * | 2017-12-29 | 2020-08-11 | 深圳云天励飞技术有限公司 | Data processing method and related product |
| CN108269254B (en) * | 2018-01-17 | 2020-12-01 | 百度在线网络技术（北京）有限公司 | Image quality evaluation method and device |
| CN108509611B (en) * | 2018-03-30 | 2021-11-12 | 百度在线网络技术（北京）有限公司 | Method and device for pushing information |
| CN108717464A (en) * | 2018-05-31 | 2018-10-30 | 中国联合网络通信集团有限公司 | photo processing method, device and terminal device |
| CN111199165B (en) * | 2018-10-31 | 2024-02-06 | 浙江宇视科技有限公司 | Image processing method and device |
| CN109815359B (en) * | 2018-12-27 | 2023-02-03 | 深圳云天励飞技术有限公司 | Image retrieval method and related product |
| CN109886078B (en) * | 2018-12-29 | 2022-02-18 | 华为技术有限公司 | Retrieval positioning method and device for target object |
| CN110458091A (en) * | 2019-08-08 | 2019-11-15 | 北京阿拉丁智慧科技有限公司 | Recognition of face 1 based on position screening is than N algorithm optimization method |
| CN110516624A (en) * | 2019-08-29 | 2019-11-29 | 北京旷视科技有限公司 | Image processing method, device, electronic equipment and storage medium |
| CN110996000A (en) * | 2019-12-16 | 2020-04-10 | 深圳市本牛科技有限责任公司 | Method and device for simultaneously shooting from multiple angles |
| CN113095116B (en) * | 2019-12-23 | 2024-03-22 | 深圳云天励飞技术有限公司 | Identity recognition method and related product |
| CN111160219B (en) * | 2019-12-26 | 2022-04-26 | 深圳云天励飞技术股份有限公司 | Object integrity evaluation method and device, electronic equipment and storage medium |
| CN112258363B (en) * | 2020-10-16 | 2023-03-24 | 浙江大华技术股份有限公司 | Identity information confirmation method and device, storage medium and electronic device |
| CN112269853B (en) * | 2020-11-16 | 2023-06-13 | Oppo广东移动通信有限公司 | Retrieval processing method, device and storage medium |
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