CN107291810A - Data processing method, device and storage medium - Google Patents

Data processing method, device and storage medium Download PDF

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Publication number
CN107291810A
CN107291810A CN201710352248.8A CN201710352248A CN107291810A CN 107291810 A CN107291810 A CN 107291810A CN 201710352248 A CN201710352248 A CN 201710352248A CN 107291810 A CN107291810 A CN 107291810A
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image
facial image
checked
quality evaluation
target image
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CN107291810B (en
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尹义
邱璐
彭程
苏建钢
万历
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Shenzhen Intellifusion Technologies Co Ltd
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Shenzhen Intellifusion Technologies Co Ltd
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/70Information retrieval; Database structures therefor; File system structures therefor of video data
    • G06F16/78Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually
    • G06F16/783Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually using metadata automatically derived from the content
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00Arrangements for image or video recognition or understanding
    • G06V10/94Hardware or software architectures specially adapted for image or video understanding
    • G06V10/95Hardware or software architectures specially adapted for image or video understanding structured as a network, e.g. client-server architectures
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/16Human faces, e.g. facial parts, sketches or expressions
    • G06V40/172Classification, e.g. identification

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Abstract

The embodiments of the invention provide a kind of data processing method, device and storage medium, methods described 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;Scanned for according to N number of facial image in video library, obtain M target image, the M is the integer more than 1;The M target image is screened, K target image is obtained, 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

Data processing method, device and storage medium
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, the increase of these populations also brings bigger challenge while urbanization process is accelerated for city management, although, Video monitoring provides technical support to urban safety, and still, at present, camera is laid out in city and come, respectively The function of individual 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, ID card No., thus, the moving position problems demand of target person how is inquired according to partial information Solve.
The content of the invention
The embodiments of the invention provide a kind of data processing method and device, to inquire target person according to partial information The moving position of thing.
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;
Scanned for according to N number of facial image in video library, obtain M target image, the M is more than 1 Integer;
The M target image is screened, K target image is obtained, 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:
The registration facial image of the object to be checked is obtained according to the ID card No., 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, as above the embodiment of the present invention, not only can obtain to be checked by ID card No. according to ID card No. Object handles registration facial image when identity card, can also obtain at least one account for being associated with 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 is scanned in the video library, obtains P face Image;
Image quality evaluation is carried out to each facial image in the P facial image, the P picture quality is obtained 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 can be in possible active regions, by being searched to its corresponding video library Rope, so that, 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, Q face is obtained 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 lifted.
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, the K shooting is obtained Head identification information;
The moving position of the object to be checked is determined according to the K camera identification information.
And then, as above the embodiment of the present invention, can determine the moving position of object to be checked by the facial image searched.
With reference to first aspect of the embodiment of the present invention or first aspect the first 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, the identity information for obtaining 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 M positive integer;
Determining unit, the moving position for determining 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 Information be ID card No. when, the second acquisition unit specifically for:
The registration facial image of the object to be checked is obtained according to the ID card No., 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, the search unit includes:
First determining module, the possibility active regions for determining 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, the face marker characteristic for obtaining 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 determining 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, the activity bit for determining the object to be checked according to the K camera identification information Put.
With reference to second aspect of the embodiment of the present invention or second aspect the first 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 recording medium, and be 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, obtain the identity information of object to be checked, 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, obtain M Target image, M is the integer more than 1, and M target image is screened, and obtains 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.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.
Brief description of the drawings
Technical scheme in order to illustrate the embodiments of the present invention more clearly, makes required in being described below to embodiment Accompanying drawing is briefly described, it should be apparent that, drawings in the following description are some embodiments of the present invention, for ability For the those of ordinary skill of domain, on the premise of not paying creative work, it can also be obtained according to these accompanying drawings other attached Figure.
Fig. 1 is a kind of first embodiment schematic flow sheet of data processing method provided in an embodiment of the present invention;
Fig. 2 is a kind of second embodiment schematic flow sheet of data processing method provided in an embodiment of the present invention;
Fig. 3 a are a kind of first embodiment structural representations 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 data processing equipment described by 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 data processing equipment described by Fig. 3 a provided in an embodiment of the present invention Figure;
Fig. 3 d are the structural representations of the determining unit of the data processing equipment described by Fig. 3 a provided in an embodiment of the present invention Figure;
Fig. 4 is a kind of second embodiment structural representation of data processing equipment provided in an embodiment of the present invention.
Embodiment
Below in conjunction with the accompanying drawing in the embodiment of the present invention, the technical scheme in the embodiment of the present invention is carried out clear, complete Site preparation is described, it is clear that described embodiment is a part of embodiment of the invention, rather than whole embodiments.Based on this hair Embodiment in bright, the every other implementation that those of ordinary skill in the art are obtained under the premise of creative work is not made Example, belongs to the scope of protection of the invention.
Term " first ", " second ", " the 3rd " in description and claims of this specification and the accompanying drawing and " Four " etc. be to be used to distinguish different objects, rather than for describing particular order.In addition, term " comprising " and " having " and it Any deformation, it is intended that covering non-exclusive is included.For example contain 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 the step of alternatively also include not listing or list Member, or alternatively also include for the intrinsic other steps of these processes, method, product or equipment or unit.
Referenced herein " embodiment " is it is meant that the special characteristic, structure or the characteristic that describe can be wrapped in conjunction with the embodiments In 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 personal computer, palm PC, notebook computer, mobile internet device (MID, Mobile Internet Devices) or Wearable etc., above-mentioned is only citing, and non exhaustive, including but not limited to said apparatus, 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 shooting Head is used equally for capturing video image, and each camera can have a corresponding position mark, or, can have one with Corresponding numbering.Under normal circumstances, 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 Photograph after video image, the memory of system where the video image can be saved in data processing equipment.Can in memory Be stored with multiple registered images storehouses, and multiple storage objects, one identity of each storage object correspondence can be included in registered images storehouse Information collection, the set of identity information includes at least one of following content:At least one registration facial image, ID card No., family Address, kinsfolk, political composition, 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 that camera is shot corresponds to an attribute Information, attribute information is following at least one:Camera numbering, 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 numbering 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 collection 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, the angle of pitch or gradient.For example, definable dynamic human face view data two spacing of requirement are not less than 30 pictures Element, it is proposed that more than 60 pixels.Horizontally rotate angle no more than ± 30 °, the angle of pitch no more than ± 20 °, inclination angle no more than ± 45°.Recommended levels rotational angle is no more than ± 15 ° no more than ± 15 °, the angle of pitch no more than ± 10 °, inclination angle.For example, may be used also 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, mouth 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, cause the video image shot that the unsharp situation in part occurs.Video image in the embodiment of the present invention Picture format may include but be not limited only to:BMP, JPEG, JPEG2000, PNG etc., its 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 set up feature correspondence relational file).
Referring to Fig. 1, being a kind of first embodiment schematic flow sheet 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, object to be checked is needs the object inquired about, and 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, and the input instruction 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 that, at least one in following information can be obtained: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, can be from for example, identification card number Matched in registered user storehouse and be put in storage object with the identification card number identical, and then, at least one of the storage object can be obtained Facial image.Each object in registered user storehouse can be previously stored with one or multiple facial images.
Alternatively, 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:
The registration facial image of the object to be checked is obtained according to the ID card No., 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 obtain ID card information according to ID card No., so that, it can obtain identity card Registration facial image, can also obtain in registered user storehouse it is corresponding storage object account, and with the account bind 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, because data processing equipment is connected with multiple cameras, thus, the plurality of take the photograph can be obtained Can record history video as a corresponding video library, in the video library can also record current video image.In data processing dress Put 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 there is the facial image of misrecognition.
Further, since there is certain identification error in recognition of face in a facial image.Thus, it can use to same Multiple facial images of one object carry out recognition of face.In step 103, N can will be each in N number of facial image when more than 1, then Facial image is scanned 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, the common factor of N number of results set is taken, then can more accurately search target image, for example, Two facial images, one searches target image for A, B and C, and another searches target image for B, C and D, then by two The target image that facial image common search is arrived is just B and C.
Alternatively, 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 is scanned for, and obtains P facial image;
34) image quality evaluation, is carried out to each facial image in the P facial image, the P image is obtained 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 the possibility active regions of user's input, or, it 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 comprises 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, P image quality evaluation values are obtained.It is default Threshold value can voluntarily be set or system default by user.Image quality evaluation values can be chosen from P image quality evaluation values big In the image quality evaluation values of predetermined threshold value, M image quality evaluation values are obtained, its corresponding facial image is obtained, M are obtained Facial image, P is the positive integer more than M.In this way, target image is not only can search for, can also be to a certain extent to inquiry As a result screened.
Further, in above-mentioned steps 34, each facial image in P facial image can be carried out using following means Image quality evaluation:Image quality evaluation can be carried out to image using at least one image quality evaluation index, 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 obtaining are bigger, then picture quality is better.
It should be noted that due to when use single evaluation index is evaluated picture quality, with certain limitation Property, therefore, picture quality can be evaluated using multiple images quality evaluation index, 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 Calculate complexity higher, it is better also to may not be certain image quality evaluation effect, therefore, higher situation is being required to image quality evaluation Under, picture quality can be evaluated using 2~10 image quality evaluation indexs.Specifically, image quality evaluation is chosen to refer to Target number and which index, depending on the situation that implements.Certainly, specifically scene selection picture quality must be also combined to comment Valency index, carries out carrying out the image quality index of image quality evaluation selection under image quality evaluation and bright ring border under dark situation Can be different.
Alternatively, in the case of not high to image quality evaluation required precision, an image quality evaluation index can be used 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.
Alternatively, in the case of higher to image quality evaluation required precision, multiple images quality evaluation can be used Index is evaluated 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, multiple images quality evaluation is can obtain 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, A weight is a1, and B weight is a2, and C weight is A3, when carrying out image quality evaluation to a certain image using A, B and C, the corresponding image quality evaluation values of A are b1, the corresponding figures of B Picture quality evaluation value is b2, and the corresponding image quality evaluation values of C are b3, then, last image quality evaluation values=a1b1+ a2b2+a3b3.Under normal circumstances, 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.
Alternatively, 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, Q are obtained 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, K target image, institute is obtained It is the integer more than the K to state Q.
Wherein, data processing equipment can determine that 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 or system default by user.Thus, it can be selected from M facial angle The corresponding target image of facial angle for meeting predetermined angle scope is taken, Q target image is obtained.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 according to face marker characteristic to Q Individual 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, one camera position of each target image correspondence of K target image, can regard 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.
Alternatively, 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, the K is obtained individual 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 numbering, camera region title or numbering, shooting The angle of head (when camera is dynamic scan camera).And then, each target image correspondence in K target image can be obtained 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, obtain the identity information of object to be checked, 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, obtain M Target image, M is the integer more than 1, and M target image is screened, and obtains 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.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 schematic flow sheet.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 corresponding step 101- steps of the data processing method described by Fig. 1 Rapid 105.
206th, at least one corresponding administrative staff of the moving position are determined.
Wherein, data processing equipment can determine that the keeper 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.Or, recognition of face is carried out by camera or global positioning system can Determine at least one administrative staff in stir yourself region.
207th, each administrative staff at least one described administrative staff send target information, the target information bag Include: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 at least one above-mentioned administrative staff Breath, the target information includes: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, obtain the identity information of object to be checked, 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, obtain M Target image, M is the integer more than 1, and M target image is screened, and obtains 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, at least one corresponding custodian of the moving position is determined 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 final moving position that object to be checked is determined according to target image.In this way, can be inquired using partial information needs inquiry 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, device below for the above-mentioned data processing method of implementation, specific as follows:
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 determining unit 305, it is specific as follows:
First acquisition unit 301, the identity information for obtaining 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 for 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 is 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;
Determining unit 305, the moving position for determining the object to be checked according to the K target image.
Alternatively, 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.
Alternatively, the identity information be ID card No. when, the second acquisition unit 302 specifically for:
The registration facial image of the object to be checked is obtained according to the ID card No., and/or, with the identity card The facial image of at least one account of number-associated, obtains N number of facial image.
Alternatively, the specific refinement knot of the search unit 303 of the data processing equipment as described by Fig. 3 b, Fig. 3 b are Fig. 3 a Structure, the 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, the possibility active regions for determining the object to be checked;
First acquisition module 3032, for obtaining the corresponding video library of the possible active regions;
Search module 3033, enters for each facial image in N number of facial image in the video library Row search, obtains P facial image;
Evaluation module 3034, for carrying out image quality evaluation to each facial image in the P facial image, is obtained 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 For the positive integer more than the M.
Alternatively, the specific refinement knot of the screening unit 304 of the data processing equipment as described by Fig. 3 c, Fig. 3 c are 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, the face marker characteristic for obtaining the object to be checked;
Screening module 3043, for being screened according to the face marker characteristic to the Q facial image, the Q For the integer more than the K.
Alternatively, the specific refinement knot of the determining unit 305 of the data processing equipment as described by Fig. 3 d, Fig. 3 d are Fig. 3 a Structure, the determining 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 shooting leader of each target image in the K target image Know information, obtain the K camera identification information;
Second determining module 3052, the work for determining the object to be checked according to the K camera identification information Dynamic position.
As can be seen that by the data processing equipment described by the embodiment of the present invention, obtaining the identity letter of object to be checked 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 is scanned in storehouse, obtains M target image, and M is the integer more than 1, and M target image is screened, K mesh is obtained Logo image, K is 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, 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, 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 structural representation.Data processing equipment described in the present embodiment, including:At least one input equipment 1000;At least one Individual 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 contact 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 Memory), such as magnetic disk storage.Above-mentioned memory 4000 is used to store batch processing code, above-mentioned input equipment 1000, defeated Going out equipment 2000 and processor 3000 is used to call the program code stored in memory 4000, performs 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;
Scanned for according to N number of facial image in video library, obtain M target image, the M is more than 1 Integer;
The M target image is screened, K target image is obtained, 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.
Alternatively, 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.
Alternatively, 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:
The registration facial image of the object to be checked is obtained according to the ID card No., and/or, with the identity card The facial image of at least one account of number-associated, obtains N number of facial image.
Alternatively, 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 is scanned in the video library, obtains P face Image;
Image quality evaluation is carried out to each facial image in the P facial image, the P picture quality is obtained 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.
Alternatively, above-mentioned 3000 pairs of the processor M target image is screened, including:
The target image that facial angle meets predetermined angle scope is chosen from the M target image, Q face is obtained 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.
Alternatively, 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, the K shooting is obtained 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-readable storage medium, wherein, the computer-readable storage medium can be stored with journey Sequence, the program includes the part or all of step of any data processing method described in the above method embodiment when performing Suddenly.
Although combining each embodiment herein, invention has been described, however, implementing the present invention for required protection During, those skilled in the art are by checking the accompanying drawing, disclosure and appended claims, it will be appreciated that and it is real Other changes of the existing open embodiment.In the claims, the word of " comprising " (comprising) one 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 some functions enumerating.Mutually different has been recited in mutually different dependent some measures, it is not intended that these are arranged Apply to combine and produce good effect.
It will be understood by those skilled in the art that embodiments of the invention can be provided as method, device (equipment) or computer journey Sequence product.Therefore, in terms of the present invention can be using complete hardware embodiment, complete software embodiment or combination software and hardware The form of embodiment.Moreover, the present invention can be used in one or more calculating for wherein including computer usable program code The computer program that machine usable storage medium is implemented on (including but is 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 as the one of hardware Part, it would however also be possible to employ other distribution forms, such as passes through the wired or wireless telecommunication systems of Internet or other.
The present invention be with reference to the method for the embodiment of the present invention, device (equipment) and computer program product flow chart with/ Or block diagram is described.It should be understood that can by each flow in computer program instructions implementation process figure and/or block diagram and/ Or square frame and the flow in flow chart and/or block diagram and/or the combination of square frame.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 produce one Individual machine so that produced by the instruction of computer or the computing device of other programmable data processing devices for realizing The device for the function of being specified in one flow of flow chart or multiple flows and/or one square frame of block diagram or multiple square frames.
These computer program instructions, which may be alternatively 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 being stored in the computer-readable memory, which is produced, to be included referring to Make the manufacture of device, the command device realize in one flow of flow chart or multiple flows and/or one square frame of block diagram or The function of being specified in multiple square frames.
These computer program instructions can be also loaded into computer or other programmable data processing devices so that in meter Series of operation steps is performed on calculation machine or other programmable devices to produce computer implemented processing, thus in computer or The instruction performed on other programmable devices is provided for realizing in one flow of flow chart or multiple flows and/or block diagram one The step of function of being specified in individual square frame or multiple square frames.
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, various modifications and combinations can be carried out to it.Correspondingly, the specification and drawings are only institute The exemplary illustration of the invention that attached claim is defined, and be considered as covered in the scope of the invention any and all and repair Change, change, combining or equivalent.Obviously, those skilled in the art can to the present invention carry out it is various change and modification without Depart from the spirit and scope of the present invention.So, if the present invention these modifications and variations 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 changes and modification.

Claims (10)

1. a kind of data processing method, it is characterised in that 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;
Scanned for according to N number of facial image in video library, obtain M target image, the M is the integer more than 1;
The M target image is screened, K target image is obtained, 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.
2. according to the method described in claim 1, it is characterised in that when the identity information is ID card No., described N number of facial image is obtained from registered user storehouse according to the identity information, including:
The registration facial image of the object to be checked is obtained according to the ID card No., and/or, with the ID card No. The facial image of at least one account of association, obtains N number of facial image.
3. method according to claim 1 or 2, it is characterised in that it is described according to N number of facial image in video library Scan for, 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 is scanned in the video library, obtains P face figure Picture;
Image quality evaluation is carried out to each facial image in the P facial image, the P image quality evaluation is obtained 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, its corresponding facial image is obtained, the P is the positive integer more than the M.
4. method according to claim 1 or 2, it is characterised in that described to be screened to the M target image, bag Include:
The target image that facial angle meets predetermined angle scope is chosen from the M target image, Q face figure is obtained Picture;
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.
5. method according to claim 1 or 2, it is characterised in that described to be treated according to being determined 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, the K shooting leader is obtained Know information;
The moving position of the object to be checked is determined according to the K camera identification information.
6. the method according to any one of claim 1 to 5, it is characterised in that 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 car plate Number.
7. a kind of data processing equipment, it is characterised in that including:
First acquisition unit, the identity information for obtaining object to be checked;
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 For the integer more than 1;
Screening unit, for being screened to the M target image, obtains K target image, the K is less than the M's Positive integer;
Determining unit, the moving position for determining the object to be checked according to the K target image.
8. device according to claim 7, it is characterised in that when the identity information is ID card No., described the Two acquiring units specifically for:
The registration facial image of the object to be checked is obtained according to the ID card No., and/or, with the ID card No. The facial image of at least one account of association, obtains N number of facial image.
9. the device according to claim 7 or 8, it is characterised in that the search unit includes:
First determining module, the possibility active regions for determining the object to be checked;
First acquisition module, for obtaining the corresponding video library of the possible active regions;
Search module, scans in the video library for each facial image in N number of facial image, obtains To P facial image;
Evaluation module, for carrying out image quality evaluation to each facial image in the P facial image, obtains the P Individual 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 M positive integer.
10. a kind of computer-readable recording medium, be stored with computer program, and the computer program is executed by processor with reality The existing method as described in claim any one of 1-6.
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