CN106845355A - A kind of method of recognition of face, server and system - Google Patents
A kind of method of recognition of face, server and system Download PDFInfo
- Publication number
- CN106845355A CN106845355A CN201611213878.9A CN201611213878A CN106845355A CN 106845355 A CN106845355 A CN 106845355A CN 201611213878 A CN201611213878 A CN 201611213878A CN 106845355 A CN106845355 A CN 106845355A
- Authority
- CN
- China
- Prior art keywords
- target photo
- picture
- server
- client
- additionally operable
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/16—Human faces, e.g. facial parts, sketches or expressions
- G06V40/161—Detection; Localisation; Normalisation
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/50—Network services
- H04L67/51—Discovery or management thereof, e.g. service location protocol [SLP] or web services
Landscapes
- Engineering & Computer Science (AREA)
- Computer Networks & Wireless Communication (AREA)
- Signal Processing (AREA)
- Health & Medical Sciences (AREA)
- General Health & Medical Sciences (AREA)
- Oral & Maxillofacial Surgery (AREA)
- Human Computer Interaction (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Multimedia (AREA)
- Theoretical Computer Science (AREA)
- Image Analysis (AREA)
- Studio Devices (AREA)
Abstract
The invention provides a kind of method of recognition of face, server and system.The system includes client and server.The client, for sending picture detection request to server;Wherein, the picture detection request includes the pickup area of Target Photo and user's selection;The server, for determining Target Photo set according to the pickup area;If exist in the Target Photo set matching picture more than default similarity with the similarity of the Target Photo, the matching picture is sent to the client;The client, for showing the matching picture.By said system, whether the picture that the match is successful is presented in predeterminated position with determining include the picture that the picture provided with user matches in the picture that monitor video is uploaded for the picture comprising face that the picture searching monitor video that can be provided according to user is uploaded;So as in the case where not participating in manually, complete recognition of face, and then greatly promote operating efficiency.
Description
Technical field
The present invention relates to field of terminal, and in particular to a kind of method of recognition of face, server and system.
Background technology
Face recognition technology refers to utilize image processing techniques, by camera acquisition facial image, and the figure to obtaining
A kind of technology of information is needed to obtain as comparing.At present, face recognition technology is widely used in security system, enterprise
The field such as industry management system and authentication.
And in practice, it has been found that when user needs other pictures that needs are obtained according to existing face print picture to believe
During breath, generally require the pictorial information that ceaselessly checking monitoring video camera or other picture pick-up devices collect and carry out manual identified needs
Image information, time-consuming for identification work, and efficiency is low, and inconvenience is brought to user.
The content of the invention
A kind of method of recognition of face, server and system are the embodiment of the invention provides, can be provided according to user
Whether the picture comprising face that picture searching monitor video is uploaded includes and user with the picture for determining monitor video upload
The picture that the picture of offer matches, and the picture that the match is successful is presented in predeterminated position;So as to not join manually
With in the case of, recognition of face is completed, and then greatly promote operating efficiency.
The system that embodiment of the present invention first aspect discloses recognition of face, the system includes client and server;
The client, for when user's click predeterminable area is detected, pointing out user to upload Target Photo;The mesh
Piece of marking on a map is face samples pictures;
The client, is additionally operable to detect the Target Photo and uploads when successfully, points out user selection pickup area;
The client, is additionally operable to send picture detection request to server;Wherein, the picture detection request includes institute
State the pickup area of Target Photo and user selection;
The server, for determining Target Photo set according to the pickup area;
The server, is additionally operable to travel through the Target Photo set determine to whether there is in the Target Photo set
With the similarity of the Target Photo picture is matched more than predetermined threshold value;
The server, if there is the similarity with the Target Photo in being additionally operable to the Target Photo set more than pre-
If the matching picture of similarity, then the matching picture is sent to the client;
The client, for showing the matching picture according to predetermined manner in Search Results viewing area.
With reference in a first aspect, in the first possible implementation of first aspect,
The client, is additionally operable to prompting user's seclected time section;
The client, is additionally operable to for the time period that the user selectes to be sent to the server;
The server, is additionally operable to judge whether the time period meets preset rules;
The server, specifically for when the time period preset rules are met, then the server is according to the use
The selected pickup area in family and selected time period determine Target Photo set.
With reference to the first possible implementation of first aspect, in second possible implementation of first aspect,
The pickup area includes multiple regions;
The server, if there is the similarity with the Target Photo in being additionally operable to the Target Photo set more than pre-
If the matching picture of similarity, then the server determines the region belonging to each described matching picture;
The server, is additionally operable to count the quantity of the matching picture that each region includes;
The server, is additionally operable to match picture by the mark in each region and with corresponding to described each region
Quantity be sent to client;
The client, be additionally operable to display each region mark and with corresponding to described each area identification
Match the quantity of picture.
With reference to second possible implementation of first aspect, in the third possible implementation of first aspect,
The client, is additionally operable to, when detecting the user and choosing the mark of first area, be sent out to the server
Information acquisition request is sent, described information obtains request includes the mark of the first area;Wherein, the first area is institute
State any one region in multiple regions;
The server, the corresponding target area of mark for determining the first area, and obtain the target area
The mark of the video camera of matching picture is photographed in domain;
The server, is additionally operable to the mark to video camera described in client feedback;
The client, the camera identification of matching picture is photographed for showing in the first area;Wherein, it is described
First object region is any one region in the multiple target area;
The client, is additionally operable to, when detecting the first camera identification and being selected, show first video camera
Geographical position, the matching picture for shooting and every shooting time of matching picture;Wherein, first camera identification is
Any one camera identification in multiple camera identifications.
With reference to first aspect or foregoing any one possible implementation of first aspect, at the 4th kind of first aspect
In possible implementation,
The client, is additionally operable to, when the quantity of the matching picture is more than predetermined number, be sent to the user and carried
The prompting of the default similarity of height;
The client, is additionally operable to obtain the target similarity threshold that the user re-enters, and to the server
Send the target similarity threshold;
The server, be additionally operable to travel through again the Target Photo set with determine in the Target Photo set with institute
State the matching picture of the similarity more than target similarity threshold of Target Photo;And it is big to the client transmission similarity
In the matching picture of target similarity threshold;
The client, for receiving matching figure of the similarity more than target similarity threshold that the server sends
Piece, and the similarity is shown more than the matching picture of target similarity threshold.
Second aspect present invention discloses a kind of server, it is characterised in that the server includes:
Receiving unit, the picture for receiving client transmission detects request;Wherein, the picture detection request includes institute
State the pickup area of Target Photo and user selection;The Target Photo is face samples pictures;
Determining unit, for determining Target Photo set according to the pickup area;
Traversal Unit, be additionally operable to travel through the Target Photo set with determine to whether there is in the Target Photo set with
Matching picture of the similarity of the Target Photo more than predetermined threshold value;
Transmitting element, if there is the similarity with the Target Photo in being additionally operable to the Target Photo set more than default
The matching picture of similarity, then send the matching picture to the client.
With reference to second aspect, in the first possible implementation of second aspect, the server also includes judging
Unit;
The receiving unit, is additionally operable to receive the time period that the client sends;
The judging unit, is additionally operable to judge whether the time period meets preset rules;
The determining unit, specifically for when the time period preset rules are met, then the server is according to described
The pickup area and selected time period that user selectes determine Target Photo set.
With reference to the first possible implementation of second aspect, in second possible implementation of second aspect
In, the pickup area includes multiple regions;The server also includes statistic unit;
The determining unit, if exist in being additionally operable to the Target Photo set being more than with the similarity of the Target Photo
The matching picture of default similarity, it is determined that the region belonging to each described matching picture;
The statistic unit, the quantity for counting the matching picture that each region includes;
The transmitting element, is additionally operable to match figure by the mark in each region and with corresponding to described each region
The quantity of piece is sent to the client.
With reference to second possible implementation of second aspect, in the third possible implementation of second aspect
In,
The receiving unit, is additionally operable to receive the information acquisition request that the client sends, and described information obtains request
Include the mark of the first area;Wherein, the first area is any one region in the multiple region;
The determining unit, the corresponding target area of mark for determining the first area, and obtain the target
The mark of the video camera of matching picture is photographed in region;
The transmitting element, is additionally operable to the mark to video camera described in client feedback.
Third aspect present invention discloses a kind of method of recognition of face, and methods described includes:
Receive the picture detection request that client sends;Wherein, picture detection request include the Target Photo and
The pickup area of user's selection;The Target Photo is face samples pictures;
Target Photo set is determined according to the pickup area;
The Target Photo set is traveled through to determine to whether there is and the Target Photo in the Target Photo set
Matching picture of the similarity more than predetermined threshold value;
If for exist in the Target Photo set with the similarity of the Target Photo be more than default similarity
With picture, then the matching picture is sent to the client.
With reference to the third aspect, in the first possible implementation of the third aspect, the server is according to the use
Before the selected pickup area in family and selected time period determine Target Photo set, methods described also includes
Receive the time period that the client sends;
Judge whether the time period meets preset rules;
The pickup area and selected time period that the server is selected according to the user determine Target Photo set, wrap
Include:
When the time period preset rules are met, then the server is selected according to the user pickup area and choosing
The fixed time period determines Target Photo set.
With reference to the first possible implementation of the third aspect, in second possible implementation of the third aspect
In, the pickup area includes multiple regions;Methods described also includes:
If exist in the Target Photo set matching figure more than default similarity with the similarity of the Target Photo
Piece, it is determined that the region belonging to each described matching picture;
Count the quantity of the matching picture that each region includes;
It is sent to by the mark in each region and with the quantity for matching picture corresponding to described each region described
Client.
With reference to second possible implementation of the third aspect, in the third possible implementation of the third aspect
In,
The information acquisition request that the client sends is received, described information obtains request includes the first area
Mark;Wherein, the first area is any one region in the multiple region;
Determine the corresponding target area of mark of the first area, and obtain matching figure is photographed in the target area
The mark of the video camera of piece;
To the mark of video camera described in client feedback.
Fourth aspect present invention discloses a kind of server, and the terminal includes:
Be stored with the memory of executable program code;
The processor coupled with the memory;
The processor calls the executable program code stored in the memory, performs as described in the third aspect
Method.
As can be seen that disclosing a kind of face identification system in the scheme of the embodiment of the present invention, the system includes client
And server.The client, for when user's click predeterminable area is detected, pointing out user to upload Target Photo;Also use
When detecting the Target Photo and uploading successfully, user is pointed out selection pickup area;Picture detection request is sent to server;
Wherein, the picture detection request includes the pickup area of the Target Photo and user selection;The server, is used for
Target Photo set is determined according to the pickup area;It is additionally operable to travel through the Target Photo set determine the Target Photo
In set picture is matched with the presence or absence of the similarity with the Target Photo more than predetermined threshold value;If being additionally operable to the target figure
Exist in piece set and match picture more than default similarity with the similarity of the Target Photo, then sent to the client
The matching picture;The client, for showing the matching picture according to predetermined manner in Search Results viewing area.It is logical
Said system is crossed, the picture comprising face that the picture searching monitor video that can be provided according to user is uploaded is regarded to determine monitoring
Whether comprising the picture that matches of picture provided with user in the picture that frequency is uploaded, and by the picture that the match is successful in default position
Put and presented;So as in the case where not participating in manually, complete recognition of face, and then greatly promote operating efficiency.
Brief description of the drawings
Technical scheme in order to illustrate more clearly the embodiments of the present invention, below by to be used needed for embodiment
Accompanying drawing is briefly described, it should be apparent that, drawings in the following description are some embodiments of the present invention, general for this area
For logical technical staff, on the premise of not paying creative work, other accompanying drawings can also be obtained according to these accompanying drawings.
Fig. 1 is a kind of system schematic of recognition of face provided in an embodiment of the present invention;
Fig. 2 is a kind of structural representation of server provided in an embodiment of the present invention;
Fig. 3 is the structural representation of another server provided in an embodiment of the present invention;
Fig. 4 is a kind of schematic flow sheet of the method for recognition of face provided in an embodiment of the present invention;
Fig. 5 is the schematic flow sheet of the method for another recognition of face provided in an embodiment of the present invention;
Fig. 6 is a kind of physical arrangement schematic diagram of server provided in an embodiment of the present invention.
Specific embodiment
A kind of method of recognition of face, server and system are the embodiment of the invention provides, can be provided according to user
Whether the picture comprising face that picture searching monitor video is uploaded includes and user with the picture for determining monitor video upload
The picture that the picture of offer matches, and the picture that the match is successful is presented in predeterminated position;So as to not join manually
With in the case of, recognition of face is completed, and then greatly promote operating efficiency.
In order that those skilled in the art more fully understand the present invention program, below in conjunction with the embodiment of the present invention
Accompanying drawing, is explicitly described to the technical scheme in the embodiment of the present invention, it is clear that described embodiment is the present invention one
The embodiment divided, rather than whole embodiments.Based on the embodiment in the present invention, those of ordinary skill in the art are not doing
Go out the every other embodiment obtained under the premise of creative work, should all belong to the scope of protection of the invention.
Term " first ", " second " and " the 3rd " occurred in description of the invention, claims and accompanying drawing etc. is to use
In the different objects of difference, and it is not intended to describe specific order.Additionally, term " comprising " and " having " and they are any
Deformation, it is intended that covering is non-exclusive to be included.For example contain process, method, system, the product of series of steps or unit
Or equipment is not limited to the step of having listed or unit, but alternatively also include the step of not listing or unit, or can
Selection of land also includes for these processes, method, product or other intrinsic steps of equipment or unit.
A kind of face identification system is disclosed in one embodiment of the invention, and the system includes client and service
Device.The client, for when user's click predeterminable area is detected, pointing out user to upload Target Photo;It is additionally operable to detection
Uploaded when successfully to the Target Photo, point out user selection pickup area;Picture detection request is sent to server;Wherein,
The picture detection request includes the pickup area of the Target Photo and user selection;The server, for basis
The pickup area determines Target Photo set;It is additionally operable to travel through the Target Photo set determine the Target Photo set
In match picture more than predetermined threshold value with the presence or absence of with the similarity of the Target Photo;If being additionally operable to the Target Photo collection
Exist in conjunction and match picture more than default similarity with the similarity of the Target Photo, then send described to the client
Matching picture;The client, for showing the matching picture according to predetermined manner in Search Results viewing area.
Fig. 1 is referred to, Fig. 1 is a kind of system 100 of recognition of face that one embodiment of the invention is provided.The system bag
Include client 10 and server 20.
, wherein it is desired to, it is noted that client 10 can be in smart mobile phone, panel computer, intelligent wearable equipment, calculating
Run on the electronic equipments such as machine.
Wherein, server 20 can be distributed server, or cloud data center, not be limited herein.
Wherein it is possible to understand, server 20 can connect multiple cameras, and camera can be to appearing in camera lens
Personage carry out real-time grasp shoot record, when occurring face in monitoring range, camera will capture automatically and by facial image with
The time mode of stream is sent in server 20.
Client 10, for when user's click predeterminable area is detected, pointing out user to upload Target Photo;
Wherein, the Target Photo includes face samples pictures.
It is pointed out that predeterminable area can be a picture box, or a button, can also be it is a sky
White region, is not limited herein.
Wherein, the form of Target Photo includes but is not limited to JPEG, BMP etc..
Wherein it is possible to understand, user can be used as Target Photo from picture is locally selected, it is also possible to call shooting
Head is shot to obtain Target Photo.
Wherein, user can be clicked with left button, or right button is clicked, and can also be double-clicked, and be not limited herein.
Client 10, is additionally operable to detect the Target Photo and uploads when successfully, points out user selection pickup area;
It is understood that the pickup area can be divided according to administrative region.Such as face of certain municipal police office
Pickup area bag A local police stations pickup area, B local police stations pickup area, C local police stations pickup area of identifying system etc..
It is understood that can also freely define, such as certain one layer of pickup area of building, two layers of pickup area etc.
Deng.Can also be teaching building region, dormitory region, dining room region of certain school etc..
Client 10, is additionally operable to send picture detection request to server 20;Wherein, the picture detection request includes institute
State the pickup area of Target Photo and user selection;
It is understood that the purpose of picture detection request is to allow server 20 to detect described described in client 10
Whether the photo matched with the Target Photo is photographed in pickup area.
Server 20, for determining Target Photo set according to the pickup area;
It is understood that such as pickup area is school dining room, then Target Photo set is exactly that the dining room owns
The captured photo including face in preset time range of camera.Wherein, the preset time range can be acquiescence,
Can also be artificial setting, such as can be three months in, in one month, in even three days etc., it is not limited herein.
Server 20, be additionally operable to travel through the Target Photo set with determine to whether there is in the Target Photo set with
Matching picture of the similarity of the Target Photo more than predetermined threshold value;
, wherein it is desired to, it is noted that images match refer to by certain matching algorithm between two width or multiple image
By the coefficient correlation of the window of formed objects in comparison object area and the field of search in identification same place, such as two dimensional image matching,
The window center point in the field of search corresponding to coefficient correlation maximum is taken as same place.Its essence is the condition in primitive similitude
Under, with the optimal search problem of matching criterior.
Wherein, images match can be divided mainly into the matching based on gray scale and the matching based on feature.
Wherein, the basic thought of Gray-scale Matching:2D signal as is regarded image with the viewpoint for counting, using statistical correlation
Method find signal between relevant matches.Using two correlation functions of signal, their similitude is evaluated of the same name to determine
Point.Gray-scale Matching by using certain similarity measurement, such as correlation function, covariance function, difference quadratic sum, difference absolute value and
Estimate extreme value, judge the corresponding relation in two images.
Wherein, characteristic matching refer to by extracting the feature of two or more images (feature such as point, line, surface) respectively, it is right
Feature enters line parameter description, a kind of algorithm for then being matched with described parameter.Residing for feature-based matching
The feature that the image of reason is generally comprised has color characteristic, textural characteristics, shape facility, locus feature etc..Characteristic matching is first
First image is pre-processed to extract its high-level feature, the matching correspondence pass of feature between two images is then set up
System, usually used feature primitive has point feature, edge feature and provincial characteristics.Characteristic matching needs to use many such as matrixes
Computing, the solution of gradient, also have the mathematical operation such as Fourier transform and Taylor expansion.Conventional feature extracting and matching method
Have:Statistical method, geometric method, modelling, signal transacting method, boundary characteristic method, fourier shape description method, geometry parameter method, shape
Shape Moment invariants etc..
Server 20, if there is the similarity with the Target Photo in being additionally operable to the Target Photo set more than default
The matching picture of similarity, then send the matching picture to client 10;
Wherein, the default similarity can be system default, can also be artificial setting, not show herein.
For example, default similarity can be 90%, 92%, 95% etc..
Client 10, for showing the matching picture according to predetermined manner in Search Results viewing area.
Wherein it is possible to understand, Search Results viewing area can be the position of system default, can also be that user selectes
Position.
Wherein, show that the matching picture includes according to predetermined manner:Time sequencing according to shooting shows the matching
Picture;
Wherein, show that the matching picture includes according to predetermined manner:According to the numbering of the video camera belonging to matching picture
Shown.The matching picture that No. 1 video camera shoots such as first is shown, then shows the matching picture that No. 2 video cameras shoot, herein
It is not limited.
Wherein it is possible to understand, if matching picture is excessive, user can be checked with page turning.
Optionally, in addition to according to Target Photo and pickup area search matching picture, the system can be with for the system
Picture searching is carried out according to Target Photo, time period and pickup area.
Client 10, is additionally operable to prompting user's seclected time section;
Wherein, the time period can user input, or user selected on the calendar that system is provided.
Wherein, the dimension of the time period can with difference, can specific to day, can also specific to hour or minute,
This is not limited.
Client 10, is additionally operable to for the time period that the user selectes to be sent to server 20;
Server 20, is additionally operable to judge whether the time period meets preset rules;
Such as, the time period should be the past time, if being related to the time in future, the time period does not just meet
Preset rules.
Server 20, specifically for when the time period preset rules are met, then server 20 is selected according to the user
Fixed pickup area and selected time period determines Target Photo set.
Optionally, the pickup area includes multiple regions;
Server 20, if there is the similarity with the Target Photo in being additionally operable to the Target Photo set more than default
The matching picture of similarity, it is determined that the region belonging to each described matching picture;
For example, such as user have selected the dining room region and dormitory region of certain school at that time, then will will match
Picture is classified, to determine every source of matching.That is, which region every matching picture is belonging to.Dining room
What video camera shot just belongs to dining room region, and what similarly dormitory video camera shot just belongs to dormitory region.
For example, if when user have selected A local police stations region and B local police stations region, then which will now determine
A little matching pictures are that the camera in A local police stations region shoots, and the matching picture that A local police stations camera shoots just belongs to A and sends
Institute region.
Server 20, is additionally operable to count the quantity of the matching picture that each region includes;
Such as, matching picture has 100 altogether.The matching picture that so A local police stations include may just have 60, B local police stations
Comprising matching picture may just have 40.
Server 20, be additionally operable to by the mark in each region and with the picture that matches corresponding to described each region
Quantity is sent to client;
Client 10, be additionally operable to display each region mark and with corresponding to described each area identification
Quantity with picture.
Wherein, client 10 can be shown in the form of a list.
Optionally, each pickup area has multiple video cameras, then user can select the shooting of each pickup area
Machine inquires about the matching picture of the shot by camera chosen.It is specific as follows:
Client 10, is additionally operable to, when detecting the user and choosing the mark of first area, be sent to server 20 and believed
Breath obtains request, and described information obtains request includes the mark of the first area;Wherein, the first area is described many
Any one region in individual region;
Such as, row's area identification, such as A local police stations, B local police stations etc. are shown on the interface of client 10.
Server 20, the corresponding target area of mark for determining the first area, and obtain the target area
Inside photograph the mark of the video camera of matching picture;
Such as, user have selected the mark in A local police stations, then will now show photographing in A local police stations region
The mark of the video camera with picture.Such as video camera A (3), means that video camera A has photographed 3 matching pictures.
Server 20, is additionally operable to the mark to video camera described in client feedback;
Client 10, the camera identification of matching picture is photographed for showing in the first area;Wherein, described
One target area is any one region in the multiple target area;
Client 10, is additionally operable to, when detecting the first camera identification and being selected, show the ground of first video camera
Reason position, the matching picture for shooting and every shooting time of matching picture;Wherein, first camera identification is many
Any one camera identification in the individual camera identification.
Wherein it is possible to understand, when the user clicks on the mark of video camera A, the installation position of video camera A will be shown
Put, and the 3 matching pictures for shooting, and every shooting time of matching picture.Other information is not being enumerated herein.
Wherein, when the user clicks on the mark of video camera A, the installation position of video camera A can be directly shown on map
Put.
As shown in Fig. 2 Fig. 2 describes the concrete structure of server 20, server 20 includes:
Receiving unit 210, the picture for receiving client transmission detects request;Wherein, the picture detection request bag
Include the pickup area of the Target Photo and user selection;The Target Photo is face samples pictures;
Determining unit 220, for determining Target Photo set according to the pickup area;
Whether Traversal Unit 230, is additionally operable to travel through the Target Photo set determine deposited in the Target Photo set
In the similarity with the Target Photo picture is matched more than predetermined threshold value;
Transmitting element 240, if exist in being additionally operable to the Target Photo set being more than with the similarity of the Target Photo
The matching picture of default similarity, then send the matching picture to client 10.
Based on Fig. 2, as shown in figure 3, server 20 also includes judging unit 250;
Receiving unit 210, is additionally operable to receive the time period that client 10 sends;
Judging unit 250, is additionally operable to judge whether the time period meets preset rules;
Determining unit 220, specifically for when the time period preset rules are met, then server 20 is according to the user
Selected pickup area and selected time period determines Target Photo set.
Optionally, the pickup area includes multiple regions;Server 20 also includes statistic unit 260;
Determining unit 220, if exist in being additionally operable to the Target Photo set being more than with the similarity of the Target Photo
The matching picture of default similarity, it is determined that the region belonging to each described matching picture;
Statistic unit 260, the quantity for counting the matching picture that each region includes;
Transmitting element 240, is additionally operable to match figure by the mark in each region and with corresponding to described each region
The quantity of piece is sent to client 10.
As shown in figure 4, Fig. 4 discloses a kind of method of recognition of face, the main body that the method is performed is server, the side
Method includes:
S301, the picture detection request for receiving client transmission;Wherein, the picture detection request includes the target figure
Piece and the pickup area of user selection;The Target Photo is face samples pictures;
S302, Target Photo set is determined according to the pickup area;
S303, travel through the Target Photo set to determine to whether there is and the target figure in the Target Photo set
Matching picture of the similarity of piece more than predetermined threshold value;
If exist in S304, the Target Photo set with the similarity of the Target Photo be more than default similarity
With picture, then the matching picture is sent to client.
From the above it can be seen that the invention provides a kind of method of recognition of face, server receives the picture inspection that client sends
Survey request;Wherein, the picture detection request includes the pickup area of the Target Photo and user selection;According to described
Pickup area determines Target Photo set;The Target Photo set is traveled through to determine to whether there is in the Target Photo set
With the similarity of the Target Photo picture is matched more than predetermined threshold value;If existing and the mesh in the Target Photo set
The similarity of piece of marking on a map is more than the matching picture of default similarity, then send the matching picture to client.By above-mentioned side
Method, can according to user provide picture searching monitor video upload the picture comprising face with determine monitor video upload
Whether the picture that the picture provided with user matches is included in picture, and is in predeterminated position by the picture that the match is successful
It is existing;So as in the case where not participating in manually, complete recognition of face, and then greatly promote operating efficiency.
As shown in figure 5, Fig. 5 discloses a kind of method of recognition of face, the main body that the method is performed is server, the side
Method includes:
S401 receives the picture detection request that client sends;Wherein, the picture detection request includes Target Photo, uses
The time period of family selection and pickup area;The Target Photo is face samples pictures;
S402, judge whether the time period meets preset rules;
S403, when the time period preset rules are met, the pickup area selected according to the user and it is selected when
Between section determine Target Photo set.
S404, travel through the Target Photo set to determine to whether there is and the target figure in the Target Photo set
Matching picture of the similarity of piece more than predetermined threshold value;
If exist in S405, the Target Photo set with the similarity of the Target Photo be more than default similarity
With picture, then the matching picture is sent to client;
If exist in the S406 Target Photo set with the similarity of the Target Photo be more than default similarity
With picture, it is determined that the region belonging to each described matching picture;
S407, the quantity for counting the matching picture that each region includes;
S408, it is sent to by the mark in each region and with the quantity for matching picture corresponding to described each region
Client;
It is hereby understood that the present embodiment has expanded each region includes the step of matching picture number, to cause client
The quantity of the matching picture captured by each region may be shown.
Fig. 6 is referred to, in another embodiment of the present invention, there is provided a kind of terminal.The server 500 includes
CPU501, memory 502, bus 503.
Wherein, CPU501 performs the program being stored in advance in memory 502, and the implementation procedure is specifically included:
Receive the picture detection request that client sends;Wherein, picture detection request include the Target Photo and
The pickup area of user's selection;The Target Photo is face samples pictures;
Target Photo set is determined according to the pickup area;
The Target Photo set is traveled through to determine to whether there is and the Target Photo in the Target Photo set
Matching picture of the similarity more than predetermined threshold value;
If for exist in the Target Photo set with the similarity of the Target Photo be more than default similarity
With picture, then the matching picture is sent to the client.
Optionally, the pickup area and selected time period that the server is selected according to the user determine Target Photo
Before set, the implementation procedure also includes:
Receive the time period that the client sends;
Judge whether the time period meets preset rules;
The pickup area and selected time period that the server is selected according to the user determine Target Photo set, wrap
Include:
When the time period preset rules are met, then the server is selected according to the user pickup area and choosing
The fixed time period determines Target Photo set.
Optionally, the pickup area includes multiple regions;The implementation procedure also includes:
If exist in the Target Photo set matching figure more than default similarity with the similarity of the Target Photo
Piece, it is determined that the region belonging to each described matching picture;
Count the quantity of the matching picture that each region includes;
It is sent to by the mark in each region and with the quantity for matching picture corresponding to described each region described
Client.
As can be seen that in the scheme of the embodiment of the present invention, server receives the picture detection request that client sends;Its
In, the picture detection request includes the pickup area of the Target Photo and user selection;According to the pickup area
Determine Target Photo set;The Target Photo set is traveled through to determine to whether there is and the mesh in the Target Photo set
Mark on a map piece similarity more than predetermined threshold value matching picture;If existing and the Target Photo in the Target Photo set
Similarity is more than the matching picture of default similarity, then send the matching picture to client.By the above method, Neng Gougen
According to user provide picture searching monitor video upload the picture comprising face with determine monitor video upload picture in be
The no picture matched comprising the picture provided with user, and the picture that the match is successful is presented in predeterminated position;So as to
In the case where not participating in manually, recognition of face is completed, and then greatly promote operating efficiency.
In embodiment shown in earlier figures 4, Fig. 5, the structure that each step method flow can be based on the server is realized.
In embodiment shown in earlier figures 2, Fig. 3, the structure that each unit function can be based on the server is realized.
In the above-described embodiments, the description to each embodiment all emphasizes particularly on different fields, and does not have the portion described in detail in certain embodiment
Point, may refer to the associated description of other embodiment.
In several embodiments provided herein, it should be understood that disclosed device, can be by another way
Realize.For example, device embodiment described above is only schematical, such as the division of described unit is only one kind
Division of logic function, can there is other dividing mode when actually realizing, such as multiple units or component can combine or can
To be integrated into another system, or some features can be ignored, or not perform.It is another, it is shown or discussed each other
Coupling or direct-coupling or communication connection can be the INDIRECT COUPLING or communication connection of device or unit by some interfaces,
Can be electrical or other forms.
The unit that is illustrated as separating component can be or may not be it is physically separate, it is aobvious as unit
The part for showing can be or may not be physical location, you can with positioned at a place, or can also be distributed to multiple
On NE.Some or all of unit therein can be according to the actual needs selected to realize the mesh of this embodiment scheme
's.
In addition, during each functional unit in each embodiment of the invention can be integrated in a processing unit, it is also possible to
It is that unit is individually physically present, it is also possible to which two or more units are integrated in a unit.Above-mentioned integrated list
Unit can both be realized in the form of hardware, it would however also be possible to employ the form of SFU software functional unit is realized.
If the integrated unit is to realize in the form of SFU software functional unit and as independent production marketing or use
When, can store in a computer read/write memory medium.Based on such understanding, technical scheme is substantially
The part for being contributed to prior art in other words or all or part of the technical scheme can be in the form of software products
Embody, the computer software product is stored in a storage medium, including some instructions are used to so that a computer
Equipment (can be personal computer, server or network equipment etc.) perform each embodiment methods described of the invention whole or
Part steps.And foregoing storage medium includes:USB flash disk, read-only storage (ROM, Read-Only Memory), arbitrary access are deposited
Reservoir (RAM, Random Access Memory), mobile hard disk, magnetic disc or CD etc. are various can be with store program codes
Medium.
The above, the above embodiments are merely illustrative of the technical solutions of the present invention, rather than its limitations;Although with reference to preceding
Embodiment is stated to be described in detail the present invention, it will be understood by those within the art that:It still can be to preceding
State the technical scheme described in each embodiment to modify, or equivalent is carried out to which part technical characteristic;And these
Modification is replaced, and does not make the scope of the essence disengaging various embodiments of the present invention technical scheme of appropriate technical solution.
Claims (10)
1. a kind of system of recognition of face, it is characterised in that the system includes client and server;
The client, for when user's click predeterminable area is detected, pointing out user to upload Target Photo;Wherein, it is described
Target Photo is face samples pictures;
The client, is additionally operable to detect the Target Photo and uploads when successfully, points out user selection pickup area;
The client, is additionally operable to send picture detection request to server;Wherein, the picture detection request includes the mesh
Mark on a map piece and the user selection pickup area;
The server, for determining Target Photo set according to the pickup area;
The server, is additionally operable to travel through the Target Photo set determine to whether there is and institute in the Target Photo set
State the matching picture of the similarity more than predetermined threshold value of Target Photo;
The server, if exist in being additionally operable to the Target Photo set being more than default phase with the similarity of the Target Photo
Like the matching picture of degree, then the matching picture is sent to the client;
The client, for showing the matching picture according to predetermined manner in Search Results viewing area.
2. system according to claim 1, it is characterised in that
The client, is additionally operable to prompting user's seclected time section;
The client, is additionally operable to for the time period that the user selectes to be sent to the server;
The server, is additionally operable to judge whether the time period meets preset rules;
The server, specifically for when the time period preset rules are met, then the acquisition zone selected according to the user
Domain and selected time period determine Target Photo set.
3. system according to claim 2, it is characterised in that the pickup area includes multiple regions;
The server, if exist in being additionally operable to the Target Photo set being more than default phase with the similarity of the Target Photo
Like degree matching picture, then the server determine each it is described matching picture belonging to region;
The server, is additionally operable to count the quantity of the matching picture that each region includes;
The server, be additionally operable to by the mark in each region and with the number for matching picture corresponding to described each region
Amount is sent to client;
The client, be additionally operable to display each region mark and with matching corresponding to described each area identification
The quantity of picture.
4. system according to claim 3, it is characterised in that
The client, is additionally operable to, when detecting the user and choosing the mark of first area, be sent to the server and believed
Breath obtains request, and described information obtains request includes the mark of the first area;Wherein, the first area is described many
Any one region in individual region;
The server, the corresponding target area of mark for determining the first area, and obtain in the target area
Photograph the mark of the video camera of matching picture;
The server, is additionally operable to the mark to video camera described in client feedback;
The client, the camera identification of matching picture is photographed for showing in the first area;Wherein, described first
Target area is any one region in the multiple target area;
The client, is additionally operable to, when detecting the first camera identification and being selected, show the geography of first video camera
Position, the matching picture for shooting and every shooting time of matching picture;Wherein, first camera identification is multiple
Any one camera identification in the camera identification.
5. a kind of server, it is characterised in that the server includes:
Receiving unit, the picture for receiving client transmission detects request;Wherein, the picture detection request includes the mesh
Mark on a map piece and the user selection pickup area;The Target Photo is face samples pictures;
Determining unit, for determining Target Photo set according to the pickup area;
Traversal Unit, be additionally operable to travel through the Target Photo set with determine to whether there is in the Target Photo set with it is described
Matching picture of the similarity of Target Photo more than predetermined threshold value;
Transmitting element, if existing in being additionally operable to the Target Photo set similar more than default to the similarity of the Target Photo
The matching picture of degree, then send the matching picture to the client.
6. server according to claim 5, it is characterised in that the server also includes judging unit;
The receiving unit, is additionally operable to receive the time period that the client sends;
The judging unit, is additionally operable to judge whether the time period meets preset rules;
The determining unit, specifically for when the time period preset rules are met, then the server is according to the user
Selected pickup area and selected time period determines Target Photo set.
7. server according to claim 6, it is characterised in that the pickup area includes multiple regions;The service
Device also includes statistic unit;
The determining unit, if there is the similarity with the Target Photo in being additionally operable to the Target Photo set more than default
The matching picture of similarity, it is determined that the region belonging to each described matching picture;
The statistic unit, the quantity for counting the matching picture that each region includes;
The transmitting element, be additionally operable to by the mark in each region and with the picture that matches corresponding to described each region
Quantity is sent to the client.
8. a kind of method of recognition of face, it is characterised in that methods described includes:
Receive the picture detection request that client sends;Wherein, picture detection request includes the Target Photo and described
The pickup area of user's selection;The Target Photo is face samples pictures;
Target Photo set is determined according to the pickup area;
The Target Photo set is traveled through to determine in the Target Photo set with the presence or absence of similar to the Target Photo
Matching picture of the degree more than predetermined threshold value;
If matching figure more than default similarity with the similarity of the Target Photo for existing in the Target Photo set
Piece, then send the matching picture to the client.
9. method according to claim 8, it is characterised in that the pickup area that the server is selected according to the user
Before determining Target Photo set with the selected time period, methods described also includes
Receive the time period that the client sends;
Judge whether the time period meets preset rules;
The pickup area and selected time period that the server is selected according to the user determine Target Photo set, including:
When the time period preset rules are met, then the server is selected according to the user pickup area and selected
Time period determines Target Photo set.
10. method according to claim 9, it is characterised in that the pickup area includes multiple regions;Methods described is also
Including:
If exist in the Target Photo set matching picture more than default similarity with the similarity of the Target Photo,
Determine the region belonging to each described matching picture;
Count the quantity of the matching picture that each region includes;
The client is sent to by the mark in each region and with the quantity for matching picture corresponding to described each region
End.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201611213878.9A CN106845355B (en) | 2016-12-24 | 2016-12-24 | A kind of method of recognition of face, server and system |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201611213878.9A CN106845355B (en) | 2016-12-24 | 2016-12-24 | A kind of method of recognition of face, server and system |
Publications (2)
Publication Number | Publication Date |
---|---|
CN106845355A true CN106845355A (en) | 2017-06-13 |
CN106845355B CN106845355B (en) | 2018-05-11 |
Family
ID=59135646
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201611213878.9A Active CN106845355B (en) | 2016-12-24 | 2016-12-24 | A kind of method of recognition of face, server and system |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN106845355B (en) |
Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN108319916A (en) * | 2018-02-01 | 2018-07-24 | 广州市君望机器人自动化有限公司 | Face identification method, device, robot and storage medium |
Citations (9)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101859374A (en) * | 2010-05-20 | 2010-10-13 | 上海洪剑智能科技有限公司 | Distributed face identification system and identification method thereof |
US20130163830A1 (en) * | 2011-12-22 | 2013-06-27 | Canon Kabushiki Kaisha | Information processing apparatus, control method therefor, and storage medium |
CN103745223A (en) * | 2013-12-11 | 2014-04-23 | 深圳先进技术研究院 | Face detection method and apparatus |
CN104133899A (en) * | 2014-08-01 | 2014-11-05 | 百度在线网络技术(北京)有限公司 | Method and device for generating picture search library and method and device for searching for picture |
CN105139470A (en) * | 2015-09-30 | 2015-12-09 | 杭州海康威视数字技术股份有限公司 | Checking-in method, device and system based on face recognition |
US20160012280A1 (en) * | 2013-02-28 | 2016-01-14 | Hitachi Kokusai Electric Inc. | Person search method and device for searching person staying on platform |
CN105374055A (en) * | 2014-08-20 | 2016-03-02 | 腾讯科技(深圳)有限公司 | Image processing method and device |
CN105488478A (en) * | 2015-12-02 | 2016-04-13 | 深圳市商汤科技有限公司 | Face recognition system and method |
CN105913037A (en) * | 2016-04-26 | 2016-08-31 | 广东技术师范学院 | Face identification and radio frequency identification based monitoring and tracking system |
-
2016
- 2016-12-24 CN CN201611213878.9A patent/CN106845355B/en active Active
Patent Citations (9)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101859374A (en) * | 2010-05-20 | 2010-10-13 | 上海洪剑智能科技有限公司 | Distributed face identification system and identification method thereof |
US20130163830A1 (en) * | 2011-12-22 | 2013-06-27 | Canon Kabushiki Kaisha | Information processing apparatus, control method therefor, and storage medium |
US20160012280A1 (en) * | 2013-02-28 | 2016-01-14 | Hitachi Kokusai Electric Inc. | Person search method and device for searching person staying on platform |
CN103745223A (en) * | 2013-12-11 | 2014-04-23 | 深圳先进技术研究院 | Face detection method and apparatus |
CN104133899A (en) * | 2014-08-01 | 2014-11-05 | 百度在线网络技术(北京)有限公司 | Method and device for generating picture search library and method and device for searching for picture |
CN105374055A (en) * | 2014-08-20 | 2016-03-02 | 腾讯科技(深圳)有限公司 | Image processing method and device |
CN105139470A (en) * | 2015-09-30 | 2015-12-09 | 杭州海康威视数字技术股份有限公司 | Checking-in method, device and system based on face recognition |
CN105488478A (en) * | 2015-12-02 | 2016-04-13 | 深圳市商汤科技有限公司 | Face recognition system and method |
CN105913037A (en) * | 2016-04-26 | 2016-08-31 | 广东技术师范学院 | Face identification and radio frequency identification based monitoring and tracking system |
Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN108319916A (en) * | 2018-02-01 | 2018-07-24 | 广州市君望机器人自动化有限公司 | Face identification method, device, robot and storage medium |
Also Published As
Publication number | Publication date |
---|---|
CN106845355B (en) | 2018-05-11 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN106844492B (en) | A kind of method of recognition of face, client, server and system | |
CN108596277B (en) | Vehicle identity recognition method and device and storage medium | |
CN105745687B (en) | Context aware Moving target detection | |
CN104303193B (en) | Target classification based on cluster | |
CN108416901A (en) | Method and device for identifying goods in intelligent container and intelligent container | |
CN107292907B (en) | Method for positioning following target and following equipment | |
CN109215055A (en) | A kind of target's feature-extraction method, apparatus and application system | |
CN103679674A (en) | Method and system for splicing images of unmanned aircrafts in real time | |
CN105740426A (en) | Human face recognition based picture sending method and apparatus | |
CN110825900A (en) | Training method of feature reconstruction layer, reconstruction method of image features and related device | |
CN111263955A (en) | Method and device for determining movement track of target object | |
CN109409250A (en) | A kind of across the video camera pedestrian of no overlap ken recognition methods again based on deep learning | |
CN109784171A (en) | Car damage identification method for screening images, device, readable storage medium storing program for executing and server | |
CN106027902A (en) | Photographing method and mobile terminal | |
CN108932509A (en) | A kind of across scene objects search methods and device based on video tracking | |
CN111291646A (en) | People flow statistical method, device, equipment and storage medium | |
CN110992500A (en) | Attendance checking method and device, storage medium and server | |
CN112132892A (en) | Target position marking method, device and equipment | |
CN106845355B (en) | A kind of method of recognition of face, server and system | |
CN108898059A (en) | Flowers recognition methods and its equipment | |
CN112633114A (en) | Unmanned aerial vehicle inspection intelligent early warning method and device for building change event | |
CN112070035A (en) | Target tracking method and device based on video stream and storage medium | |
CN103984927A (en) | Information processing method and electronic equipment | |
CN106845356B (en) | A kind of method of recognition of face, client, server and system | |
CN106778647B (en) | A kind of method of recognition of face, server and system |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
GR01 | Patent grant | ||
GR01 | Patent grant |