CN109145884A - Search method, apparatus, terminal and the computer readable storage medium of target person - Google Patents
Search method, apparatus, terminal and the computer readable storage medium of target person Download PDFInfo
- Publication number
- CN109145884A CN109145884A CN201811176199.8A CN201811176199A CN109145884A CN 109145884 A CN109145884 A CN 109145884A CN 201811176199 A CN201811176199 A CN 201811176199A CN 109145884 A CN109145884 A CN 109145884A
- Authority
- CN
- China
- Prior art keywords
- group photo
- face
- image
- target person
- personages
- 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
- G06V40/168—Feature extraction; Face representation
Landscapes
- Engineering & Computer Science (AREA)
- Health & Medical Sciences (AREA)
- Oral & Maxillofacial Surgery (AREA)
- Computer Vision & Pattern Recognition (AREA)
- General Health & Medical Sciences (AREA)
- Human Computer Interaction (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Multimedia (AREA)
- Theoretical Computer Science (AREA)
- Collating Specific Patterns (AREA)
Abstract
The embodiment of the present invention proposes a kind of method, apparatus, terminal and computer readable storage medium for searching target person, and method includes the face-image for identifying collected target person;Extract the facial feature data in the face-image of target person;According to facial feature data, at least one crucial group photo is obtained from picture database;It wherein, include the face-image of target person and the face-image of other personages in crucial group photo;According to the face-image of other personages in crucial group photo, it is screened out from it at least one association personage;Utilize the relevant information of the information searching target person of association personage.By searching for the group photo including target person, can quickly and effectively find may related association personage with target person.And it is capable of the relevant information of assisted lookup target person according to the personal information of association personage, save the time for searching target person.
Description
Technical field
The present invention relates to area of face recognition technology more particularly to a kind of lookup target person method, apparatus, terminal and meter
Calculation machine readable storage medium storing program for executing.
Background technique
In the prior art, if it is relatively difficult for wanting that the target person less to the relevant information being collected into search.
The clue often collected can not be used to find target person, so that inquiry direction is interrupted.For example, in some crimes
Under scene, suspect is independent crime and crime place is more remote, and the equipment that surrounding acquires image is few, so that can adopt
The suspect's image collected is less, and being difficult to find in existing database according to collected a small amount of image has with suspect
The useful clue closed.
Disclosed above- mentioned information are only used for reinforcing the understanding to background of the invention in the background technology, therefore it may be wrapped
Containing the information for not being formed as the prior art that those of ordinary skill in the art are known.
Summary of the invention
The embodiment of the present invention provides a kind of lookup target person method, apparatus, terminal and computer readable storage medium, with
Solve one or more technical problems in the prior art.
In a first aspect, the embodiment of the invention provides a kind of lookup target person methods, comprising:
Identify the face-image of collected target person;
Extract the facial feature data in the face-image of the target person;
According to the facial feature data, at least one crucial group photo is obtained from picture database;Wherein, the key
The face-image of face-image and other personages in group photo including the target person;
The face-image of other personages according in the crucial group photo, is screened out from it at least one affiliated person
Object;
The relevant information of target person described in information searching using the association personage.
In one embodiment, according to the facial feature data, an at least key is obtained from picture database
Group photo, comprising:
Group photo set is filtered out from the picture database, includes several group photos, the conjunction in the group photo set
According to each of object all have default facial feature data;
The default face of each of the facial feature data of the target person and each group photo object is special
Sign data are matched;
If successful match, the group photo of successful match is filtered out as the crucial group photo.
In one embodiment, the face-image of other personages according in the crucial group photo, is therefrom screened
At least one association personage out, comprising:
Identify the face-image of each other personages in the crucial group photo;
Facial images match will be respectively prestored in the face-image and facial database of each other personages;
If successful match, other personages of successful match are filtered out as the association personage.
In one embodiment, when the crucial group photo is multiple, according in the crucial group photo other
The face-image of personage is screened out from it at least one association personage, comprising:
Identify the face-image of each other personages in each crucial group photo;
The face-image of all other personages is polymerize, and obtain frequency of occurrence higher than threshold value it is described other
Personage is as association personage.
Second aspect, the embodiment of the invention provides a kind of devices for searching target person, comprising:
Facial recognition modules, for identification face-image of collected target person;
Facial feature extraction module, the facial feature data in face-image for extracting the target person;
Module is obtained, for according to the facial feature data, obtaining at least one crucial group photo from picture database;
It wherein, include the face-image of the target person and the face-image of other personages in the crucial group photo;
Incidence relation module is therefrom screened for the face-image of other personages according in the crucial group photo
At least one association personage out;
Searching module, the relevant information for target person described in the information searching using the association personage.
In one embodiment, the acquisition module includes:
Submodule is screened, for filtering out group photo set from the picture database, if including in group photo set
Dry opening and closing are shone, and each of described group photo object all has default facial feature data;
First matched sub-block, for by the facial feature data of the target person with it is every in each group photo
The default facial feature data of a personage matches;Successful match then filters out the group photo of successful match as the pass
Bonding is shone.
In one embodiment, the incidence relation module includes:
First identifies submodule, for identification the face-image of each other personages in the crucial group photo;
Second matched sub-block, for will respectively prestore face in the face-image and facial database of each other personages
Portion's images match;If successful match, other personages of successful match are filtered out as the association personage.
In one embodiment, when the crucial group photo is multiple, the incidence relation module includes:
Second identifies submodule, for identification the face-image of each other personages in each crucial group photo;
Third matched sub-block for the face-image of all other personages to polymerize, and obtains appearance frequency
Secondary other described personages higher than threshold value are as association personage.
The third aspect, the embodiment of the invention provides a kind of terminals for searching target person, comprising:
The function can also execute corresponding software realization by hardware realization by hardware.The hardware or
Software includes one or more modules corresponding with above-mentioned function.
In a possible design, search including processor and memory in the structure of the terminal of target person, it is described
Memory, which is used to store, supports the terminal for searching target person to execute the journey for searching the method for target person in above-mentioned first aspect
Sequence, the processor is configured to for executing the program stored in the memory.The terminal for searching target person can be with
Including communication interface, for searching the terminal and other equipment or communication of target person.
Fourth aspect, the embodiment of the invention provides a kind of computer readable storage mediums, search target person for storing
Computer software instructions used in the terminal of object comprising be for executing the method for searching target person in above-mentioned first aspect
Search program involved in the terminal of target person.
A technical solution in above-mentioned technical proposal has the following advantages that or the utility model has the advantages that by searching for including target person
The group photo of object, can quickly and effectively find may related association personage with target person.And according to of association personage
People's information is capable of the relevant information of assisted lookup target person, saves the time for searching target person.
Above-mentioned general introduction is merely to illustrate that the purpose of book, it is not intended to be limited in any way.Except foregoing description
Schematical aspect, except embodiment and feature, by reference to attached drawing and the following detailed description, the present invention is further
Aspect, embodiment and feature, which will be, to be readily apparent that.
Detailed description of the invention
In the accompanying drawings, unless specified otherwise herein, otherwise indicate the same or similar through the identical appended drawing reference of multiple attached drawings
Component or element.What these attached drawings were not necessarily to scale.It should be understood that these attached drawings depict only according to the present invention
Disclosed some embodiments, and should not serve to limit the scope of the present invention.
Fig. 1 is the flow chart for the lookup target person method that embodiment of the present invention provides.
Fig. 2 is the specific flow chart of the step S300 for the lookup target person method that embodiment of the present invention provides.
Fig. 3 is the specific flow chart of the step S400 for the lookup target person method that embodiment of the present invention provides.
Fig. 4 is the specific flow chart of the step S400 for the lookup target person method that another embodiment of the present invention provides.
Fig. 5 is the lookup target person apparatus structure schematic diagram that embodiment of the present invention provides.
Fig. 6 is the structural schematic diagram for the acquisition module that embodiment of the present invention provides.
Fig. 7 is the structural schematic diagram for the incidence relation module that embodiment of the present invention provides.
Fig. 8 is the structural schematic diagram for the incidence relation module that another embodiment of the present invention provides.
Fig. 9 is the lookup target person terminal structure schematic diagram that embodiment of the present invention provides.
Specific embodiment
Hereinafter, certain exemplary embodiments are simply just described.As one skilled in the art will recognize that
Like that, without departing from the spirit or scope of the present invention, described embodiment can be modified by various different modes.
Therefore, attached drawing and description are considered essentially illustrative rather than restrictive.
The embodiment of the invention provides a kind of lookup target person methods, as shown in Figure 1, comprising the following steps:
S100: the face-image of collected target person is identified.Wherein, collected face-image can be multiple,
I.e. respectively by different acquisition equipment in different time place acquired image.
S200: the facial feature data in the face-image of target person is extracted.Facial feature data is for characterizing target
The face information of personage can find image (photo or view with the target person according to the facial feature data extracted
Frequently).
S300: according to facial feature data, at least one crucial group photo is obtained from picture database;Wherein, crucial to close
The face-image of face-image and other personages according in including target person, and two people are included at least in crucial group photo
Object.The database that arbitrary source in the prior art provides can be used in picture database.It may include more people in picture database
Group photo and single photograph.Preferably, the picture database only with more people group photo can be used, to improve the effect for screening crucial group photo
Rate.
S400: according to the face-image of other personages in crucial group photo, it is screened out from it at least one association personage.
S500: the relevant information of the information searching target person of association personage is utilized.It is to be understood that will be associated with personage's
Some information find more relevant informations related with target person by clue as clue.It is also understood that root
According to the personal information of association personage, association personage is found, obtains more related letters in relation to target person by being associated with personage
Breath.To increase the probability for finding target person.
In one embodiment, when the face-image of the target person of acquisition is multiple, each face-image can be carried out
The face-image use that can wherein extract most facial characteristics is chosen in selection.Or each face-image is extracted respectively
Facial feature data, and each facial feature data is polymerize, form the face for more accurately characterizing target person face information
Characteristic.
In one embodiment, as shown in Fig. 2, according to facial feature data, at least one is obtained from picture database
Zhang Guanjian group photo, comprising:
S310: filtering out group photo set from picture database, includes several group photos in group photo set, every in group photo
A personage all has default facial feature data.Wherein, in the group photo set for establishing picture database, to each of deposit
The face of each personage in group photo identifies, and the corresponding facial feature data of the face for extracting each personage is as default
Facial feature data, and be associated in group photo.
S320: by the facial feature data of target person and it is each group photo each of object default facial feature data into
Row matching.If successful match, the group photo of successful match is filtered out and is taken a group photo as key.It filters out with target person
Group photo can be used as crucial group photo.
It should be noted that if when the key group photo with target person filtered out is excessive, it can be by some customized
Rule screens each crucial group photo, selects the crucial group photo for being more in line with requirement.For example, custom rule is group photo shooting
Time, place, character relation etc. is used as screening index in group photo.
In one embodiment, as shown in figure 3, therefrom being sieved according to the face-image of other personages in crucial group photo
Select at least one association personage, comprising:
S410: the face-image of other each personages in the crucial group photo of identification.
S420: facial images match will respectively be prestored in the face-image and facial database of other each personages;If matching
Success then filters out other personages of successful match as association personage.Wherein, face-image is respectively prestored in facial database
Relevant information containing corresponding personage.Due to each personage in crucial group photo can not necessarily find it is corresponding
Personal information, it is therefore desirable to be screened by facial database.
In one embodiment, as shown in figure 4, when key group photo is multiple, according to other people in crucial group photo
The face-image of object is screened out from it at least one association personage, comprising:
S430: the face-image of other each personages in each crucial group photo of identification.
S440: the face-image of every other personage is polymerize, and obtain frequency of occurrence be higher than threshold value other people
Object is as association personage.The i.e. same personage occurs in multiple key group photos with target person, it may be considered that the people
Object possibility associated with target person is bigger.By frequency of occurrence, more main pass can be quickly and effectively filtered out
Join personage, to increase a possibility that finding the relevant information of target person.
The embodiment of the invention provides a kind of lookup target person devices, as shown in Figure 5, comprising:
Facial recognition modules 10, for identification face-image of collected target person.
Facial feature extraction module 20, the facial feature data in face-image for extracting target person.
Module 30 is obtained, for according to facial feature data, obtaining at least one crucial group photo from picture database;Its
In, it include the face-image of target person and the face-image of other personages in key group photo.
Incidence relation module 40 is screened out from it at least for the face-image according to other personages in crucial group photo
One association personage.
Searching module 50, the relevant information for the information searching target person using association personage.
In one embodiment, as shown in fig. 6, acquisition module 30 includes:
Submodule 310 is screened, includes several opening and closing in group photo set for filtering out group photo set from picture database
According to each of group photo object all has default facial feature data.
First matched sub-block 320, for by each of the facial feature data of target person and each group photo object
Default facial feature data is matched;If successful match, the group photo of successful match is filtered out as the crucial group photo.
In one embodiment, as shown in fig. 7, incidence relation module 40 includes:
First identifies submodule 410, for identification the face-image of other each personages in crucial group photo.
Second matched sub-block 420, for will respectively prestore face in the face-image and facial database of other each personages
Portion's images match.If successful match, other personages of successful match are filtered out as the association personage.
In one embodiment, as shown in figure 8, incidence relation module 40 includes: when key group photo is multiple
Second identifies submodule 430, for identification the face-image of other each personages in each crucial group photo.
Third matched sub-block 440 for the face-image of every other personage to polymerize, and obtains frequency of occurrence
Other personages higher than threshold value are used as association personage.
The embodiment of the invention provides a kind of terminals for searching target person, as shown in Figure 9, comprising:
Memory 910 and processor 920 are stored with the computer journey that can be run on processor 920 in memory 910
Sequence.Processor 920 realizes the lookup target person in above-described embodiment method when executing computer program.910 He of memory
The quantity of processor 920 can be one or more.
Communication interface 930 is communicated for memory 910 and processor 920 with outside.
Memory 910 may include high speed RAM memory, it is also possible to further include nonvolatile memory (non-
Volatile memory), a for example, at least magnetic disk storage.
If memory 910, processor 920 and the independent realization of communication interface 930, memory 910, processor 920
And communication interface 930 can be connected with each other by bus and complete mutual communication.Bus can be Industry Standard Architecture
Structure (ISA, Industry Standard Architecture) bus, external equipment interconnection (PCI, Peripheral
Component) bus or extended industry-standard architecture (EISA, Extended Industry Standard
Component) bus etc..Bus can be divided into address bus, data/address bus, control bus etc..For convenient for indicating, in Fig. 9 only
It is indicated with a thick line, it is not intended that an only bus or a type of bus.
Optionally, in specific implementation, if memory 910, processor 920 and communication interface 930 are integrated in one piece
On chip, then memory 910, processor 920 and communication interface 930 can complete mutual communication by internal interface.
The embodiment of the invention provides a kind of computer readable storage mediums, are stored with computer program, the program quilt
Processor execute when realize as embodiment one include it is any as described in search target person method.
In the description of this specification, reference term " one embodiment ", " some embodiments ", " example ", " specifically show
The description of example " or " some examples " etc. means specific features, structure, material or spy described in conjunction with this embodiment or example
Point is included at least one embodiment or example of the invention.Moreover, particular features, structures, materials, or characteristics described
It may be combined in any suitable manner in any one or more of the embodiments or examples.In addition, without conflicting with each other, this
The technical staff in field can be by the spy of different embodiments or examples described in this specification and different embodiments or examples
Sign is combined.
In addition, term " first ", " second " are used for descriptive purposes only and cannot be understood as indicating or suggesting relative importance
Or implicitly indicate the quantity of indicated technical characteristic." first " is defined as a result, the feature of " second " can be expressed or hidden
It include at least one this feature containing ground.In the description of the present invention, the meaning of " plurality " is two or more, unless otherwise
Clear specific restriction.
Any process described otherwise above or method description are construed as in flow chart or herein, and expression includes
It is one or more for realizing specific logical function or process the step of executable instruction code module, segment or portion
Point, and the range of the preferred embodiment of the present invention includes other realization, wherein can not press shown or discussed suitable
Sequence, including according to related function by it is basic simultaneously in the way of or in the opposite order, to execute function, this should be of the invention
Embodiment person of ordinary skill in the field understood.
Expression or logic and/or step described otherwise above herein in flow charts, for example, being considered use
In the order list for the executable instruction for realizing logic function, may be embodied in any computer-readable medium, for
Instruction execution system, device or equipment (such as computer based system, including the system of processor or other can be held from instruction
The instruction fetch of row system, device or equipment and the system executed instruction) it uses, or combine these instruction execution systems, device or set
It is standby and use.For the purpose of this specification, " computer-readable medium ", which can be, any may include, stores, communicates, propagates or pass
Defeated program is for instruction execution system, device or equipment or the dress used in conjunction with these instruction execution systems, device or equipment
It sets.The more specific example (non-exhaustive list) of computer-readable medium include the following: there is the electricity of one or more wirings
Interconnecting piece (electronic device), portable computer diskette box (magnetic device), random access memory (RAM), read-only memory
(ROM), erasable edit read-only storage (EPROM or flash memory), fiber device and portable read-only memory
(CDROM).In addition, computer-readable medium can even is that the paper that can print described program on it or other suitable Jie
Matter, because can then be edited, be interpreted or when necessary with other for example by carrying out optical scanner to paper or other media
Suitable method is handled electronically to obtain described program, is then stored in computer storage.
It should be appreciated that each section of the invention can be realized with hardware, software, firmware or their combination.Above-mentioned
In embodiment, multiple steps, method, apparatus or module can be with storages in memory and by suitable instruction execution system
The software or firmware of execution is realized.For example, if realized with hardware, in another embodiment, ability can be used
Any one of following technology or their combination well known to domain is realized: being had for realizing logic function to data-signal
The discrete logic of logic gates, the specific integrated circuit with suitable combinational logic gate circuit, programmable gate array
(PGA), field programmable gate array (FPGA) etc..
Those skilled in the art are understood that realize all or part of step that above-described embodiment method carries
It suddenly is that relevant hardware can be instructed to complete by program, the program can store in a kind of computer-readable storage medium
In matter, which when being executed, includes the steps that one or a combination set of embodiment of the method.
It, can also be in addition, each functional unit in each embodiment of the present invention can integrate in a processing module
It is that each unit physically exists alone, can also be integrated in two or more units in a module.Above-mentioned integrated mould
Block both can take the form of hardware realization, can also be realized in the form of software function module.The integrated module is such as
Fruit is realized and when sold or used as an independent product in the form of software function module, also can store in a computer
In readable storage medium storing program for executing.The storage medium can be read-only memory, disk or CD etc..
The above description is merely a specific embodiment, but scope of protection of the present invention is not limited thereto, any
Those familiar with the art in the technical scope disclosed by the present invention, can readily occur in its various change or replacement,
These should be covered by the protection scope of the present invention.Therefore, protection scope of the present invention should be with the guarantor of the claim
It protects subject to range.
Claims (10)
1. a kind of method for searching target person characterized by comprising
Identify the face-image of collected target person;
Extract the facial feature data in the face-image of the target person;
According to the facial feature data, at least one crucial group photo is obtained from picture database;Wherein, the crucial group photo
In include the target person face-image and other personages face-image;
The face-image of other personages according in the crucial group photo, is screened out from it at least one association personage;
The relevant information of target person described in information searching using the association personage.
2. the method as described in claim 1, which is characterized in that according to the facial feature data, obtained from picture database
Take at least one crucial group photo, comprising:
Group photo set is filtered out from the picture database, includes that several are taken a group photo in the group photo set, in the group photo
Each personage all have default facial feature data;
By the default facial characteristics number of each of the facial feature data of the target person and each group photo object
According to being matched;
If successful match, the group photo of successful match is filtered out as the crucial group photo.
3. the method as described in claim 1, which is characterized in that the face of other personages according in the crucial group photo
Image is screened out from it at least one association personage, comprising:
Identify the face-image of each other personages in the crucial group photo;
Facial images match will be respectively prestored in the face-image and facial database of each other personages;
If successful match, other personages of successful match are filtered out as the association personage.
4. the method as described in claim 1, which is characterized in that when the crucial group photo is multiple, according to the crucial conjunction
The face-image of other personages described according in is screened out from it at least one association personage, comprising:
Identify the face-image of each other personages in each crucial group photo;
The face-image of all other personages is polymerize, and obtains other described personages that frequency of occurrence is higher than threshold value
As association personage.
5. a kind of device for searching target person characterized by comprising
Facial recognition modules, for identification face-image of collected target person;
Facial feature extraction module, the facial feature data in face-image for extracting the target person;
Module is obtained, for according to the facial feature data, obtaining at least one crucial group photo from picture database;Its
In, it include the face-image of the target person and the face-image of other personages in the crucial group photo;
Incidence relation module, for the face-image of other personages according in the crucial group photo, be screened out from it to
A few association personage;
Searching module, the relevant information for target person described in the information searching using the association personage.
6. device as claimed in claim 5, which is characterized in that the acquisition module includes:
Submodule is screened, includes several in the group photo set for filtering out group photo set from the picture database
Group photo, each of described group photo object all have default facial feature data;
First matched sub-block, for by the facial feature data of the target person and it is each it is described group photo each of
The default facial feature data of object is matched;If successful match filters out the group photo of successful match as the key
Group photo.
7. device as claimed in claim 5, which is characterized in that the incidence relation module includes:
First identifies submodule, for identification the face-image of each other personages in the crucial group photo;
Second matched sub-block, for will respectively prestore facial figure in the face-image and facial database of each other personages
As matching;If successful match, other personages of successful match are filtered out as the association personage.
8. device as claimed in claim 5, which is characterized in that when the crucial group photo is multiple, the incidence relation mould
Block includes:
Second identifies submodule, for identification the face-image of each other personages in each crucial group photo;
Third matched sub-block for the face-image of all other personages to polymerize, and obtains frequency of occurrence height
Other personages described in threshold value are as association personage.
9. a kind of lookup target person terminal characterized by comprising
One or more processors;
Storage device, for storing one or more programs;
When one or more of programs are executed by one or more of processors, so that one or more of processors
Realize method according to any one of claims 1 to 4.
10. a kind of computer readable storage medium, is stored with computer program, which is characterized in that the program is held by processor
Method according to any one of claims 1 to 4 is realized when row.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201811176199.8A CN109145884B (en) | 2018-10-10 | 2018-10-10 | Method, device, terminal and computer-readable storage medium for searching target person |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201811176199.8A CN109145884B (en) | 2018-10-10 | 2018-10-10 | Method, device, terminal and computer-readable storage medium for searching target person |
Publications (2)
Publication Number | Publication Date |
---|---|
CN109145884A true CN109145884A (en) | 2019-01-04 |
CN109145884B CN109145884B (en) | 2020-11-24 |
Family
ID=64810802
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201811176199.8A Active CN109145884B (en) | 2018-10-10 | 2018-10-10 | Method, device, terminal and computer-readable storage medium for searching target person |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN109145884B (en) |
Citations (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20130251201A1 (en) * | 2012-03-22 | 2013-09-26 | Samsung Electronics Co., Ltd. | System and method for recommending buddies in social network |
CN103593598A (en) * | 2013-11-25 | 2014-02-19 | 上海骏聿数码科技有限公司 | User online authentication method and system based on living body detection and face recognition |
CN103744895A (en) * | 2013-12-24 | 2014-04-23 | 深圳先进技术研究院 | Method and device for obtaining resident identity information |
CN103810248A (en) * | 2014-01-17 | 2014-05-21 | 百度在线网络技术(北京)有限公司 | Method and device for searching for interpersonal relationship based on photos |
CN105429848A (en) * | 2015-10-23 | 2016-03-23 | 广东小天才科技有限公司 | Method and system for adding friends through photographing and social system of social server |
CN105959283A (en) * | 2016-05-03 | 2016-09-21 | 惠州Tcl移动通信有限公司 | Target person safety prompting method and system in social software |
CN106250439A (en) * | 2016-07-26 | 2016-12-21 | 四川长虹电器股份有限公司 | Cohesion display systems and method between photo personage |
-
2018
- 2018-10-10 CN CN201811176199.8A patent/CN109145884B/en active Active
Patent Citations (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20130251201A1 (en) * | 2012-03-22 | 2013-09-26 | Samsung Electronics Co., Ltd. | System and method for recommending buddies in social network |
CN103593598A (en) * | 2013-11-25 | 2014-02-19 | 上海骏聿数码科技有限公司 | User online authentication method and system based on living body detection and face recognition |
CN103744895A (en) * | 2013-12-24 | 2014-04-23 | 深圳先进技术研究院 | Method and device for obtaining resident identity information |
CN103810248A (en) * | 2014-01-17 | 2014-05-21 | 百度在线网络技术(北京)有限公司 | Method and device for searching for interpersonal relationship based on photos |
CN105429848A (en) * | 2015-10-23 | 2016-03-23 | 广东小天才科技有限公司 | Method and system for adding friends through photographing and social system of social server |
CN105959283A (en) * | 2016-05-03 | 2016-09-21 | 惠州Tcl移动通信有限公司 | Target person safety prompting method and system in social software |
CN106250439A (en) * | 2016-07-26 | 2016-12-21 | 四川长虹电器股份有限公司 | Cohesion display systems and method between photo personage |
Non-Patent Citations (3)
Title |
---|
CHIEN-LI CHOU 等: "Social Photo Tagging Recommendation Using Community-Based Group Associations", 《2012 IEEE INTERNATIONAL CONFERENCE ON MULTIMEDIA AND EXPO WORKSHOPS》 * |
孙亚伟: "论人际关系在刑事侦查中的应用", 《法治视点》 * |
李一沐: "微信侦查法应用研究", 《法律实务》 * |
Also Published As
Publication number | Publication date |
---|---|
CN109145884B (en) | 2020-11-24 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN109255346A (en) | Reading method, device and electronic equipment | |
CN109117773B (en) | Image feature point detection method, terminal device and storage medium | |
JP5899179B2 (en) | Person recognition device, person recognition method, person recognition program, and recording medium thereof | |
CN110209866A (en) | A kind of image search method, device, equipment and computer readable storage medium | |
CN109189991A (en) | Repeat video frequency identifying method, device, terminal and computer readable storage medium | |
CN106682068A (en) | Methods and apparatuses for adaptively updating enrollment database for user authentication | |
JP5667069B2 (en) | Content management apparatus, content management method, content management program, and integrated circuit | |
CN108197250A (en) | Picture retrieval method, electronic equipment and storage medium | |
JP6969663B2 (en) | Devices and methods for identifying the user's imaging device | |
AU2011252761B2 (en) | Automatic identity enrolment | |
CN106096519A (en) | Live body discrimination method and device | |
CN112199530B (en) | Multi-dimensional face library picture automatic updating method, system, equipment and medium | |
CN104102897A (en) | Image processing device and image processing method | |
CN108108711A (en) | Face supervision method, electronic equipment and storage medium | |
CN110489659A (en) | Data matching method and device | |
AU2011252761A1 (en) | Automatic identity enrolment | |
CN110263528A (en) | Removal repeats method, apparatus, equipment and the storage medium of account | |
CN107025425A (en) | Authentication method and equipment and method for training a recognizer and equipment | |
CN112966758A (en) | Crop disease, insect and weed identification method, device and system and storage medium | |
CN111445252A (en) | Method, device and equipment for establishing biological feature library | |
TW201804786A (en) | Photographing system for long-distance running event and operation method thereof | |
Le et al. | Document retrieval based on logo spotting using key-point matching | |
CN106228108A (en) | fingerprint identification method and device | |
CN113128278B (en) | Image recognition method and device | |
CN105989063A (en) | Video retrieval method and device |
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 |