CN106960172A - Personal identification processing method, apparatus and system - Google Patents
Personal identification processing method, apparatus and system Download PDFInfo
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- CN106960172A CN106960172A CN201610015535.5A CN201610015535A CN106960172A CN 106960172 A CN106960172 A CN 106960172A CN 201610015535 A CN201610015535 A CN 201610015535A CN 106960172 A CN106960172 A CN 106960172A
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- 238000003672 processing method Methods 0.000 title claims abstract description 9
- 238000012544 monitoring process Methods 0.000 claims abstract description 111
- 238000000034 method Methods 0.000 claims abstract description 32
- 238000012545 processing Methods 0.000 claims description 20
- 238000004891 communication Methods 0.000 claims description 11
- 230000008569 process Effects 0.000 claims description 11
- 230000003993 interaction Effects 0.000 claims description 10
- 230000001755 vocal effect Effects 0.000 description 8
- 238000005516 engineering process Methods 0.000 description 4
- 238000012806 monitoring device Methods 0.000 description 4
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- 229910052709 silver Inorganic materials 0.000 description 2
- 239000004332 silver Substances 0.000 description 2
- 208000024827 Alzheimer disease Diseases 0.000 description 1
- 206010039966 Senile dementia Diseases 0.000 description 1
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Classifications
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- 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
-
- 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
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/22—Matching criteria, e.g. proximity measures
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
- G06Q50/10—Services
- G06Q50/26—Government or public services
- G06Q50/265—Personal security, identity or safety
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N7/00—Television systems
- H04N7/18—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast
- H04N7/181—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast for receiving images from a plurality of remote sources
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V2201/00—Indexing scheme relating to image or video recognition or understanding
- G06V2201/07—Target detection
Abstract
The invention provides a kind of personal identification processing method, apparatus and system, wherein, this method includes：Obtain the monitoring data in the range of predeterminable area；The characteristic information of the personnel to be identified prestored is matched with the monitoring data；In the case where matching is consistent, determine that the monitoring data includes the data of the personnel to be identified.Using above-mentioned technical proposal, the poor in timeliness of tracker is solved, it is impossible to timely and effective the problem of find tracker, improve searching efficiency, Search Results are more accurately and timely.
Description
Technical field
The present invention relates to the communications field, a kind of method handled in particular to personal identification, apparatus and system.
Background technology
It is existing for report a case to the security authorities Missing Persons or for criminal follow the trail of method than relatively limited, be substantially artificial retrieval
The mode of video recording is carried out, or is carried out in the way of reporting with lottery.The characteristics of artificial mode efficiency low cost is high；Timeliness
Property it is poor, after retrieving information or receiving report, from finding to have have passed through a period of time, the problem of bringing be
The validity of data is deteriorated.
For in correlation technique, the poor in timeliness of tracker, it is impossible to timely and effective the problem of find tracker does not have also at present
There is effective solution.
The content of the invention
The invention provides a kind of personal identification processing method, apparatus and system, at least to solve tracker in correlation technique
Poor in timeliness, it is impossible to it is timely and effective the problem of find tracker.
According to an aspect of the invention, there is provided a kind of personal identification processing method, including：
Obtain the monitoring data in the range of predeterminable area；
The characteristic information of the personnel to be identified prestored is matched with the monitoring data；
In the case where matching is consistent, determine that the monitoring data includes the data of the personnel to be identified.
Further, the characteristic information includes at least one of：Face characteristic information, voiceprint, identity characteristic
Information.
Further, the identity characteristic information includes：The telephone number of the personnel to be identified, the personnel to be identified
ID card information, the bank card information of the personnel to be identified, the name information of the personnel to be identified.
Further, it is determined that after the monitoring data includes the data of the personnel to be identified, also including it is following at least
One of：
Current location information according to personnel to be identified described in the position information confirming in the monitoring data；
Send a warning message, wherein, the warning information carries the data of personnel to be identified described in the monitoring data；
Show the data of personnel to be identified described in the monitoring data.
Further, also include in the characteristic information of the personnel to be identified prestored：The pass of the personnel to be identified
The characteristic information of connection personnel.
Further, the monitoring data includes at least one of：Video monitoring data, voice monitoring data, bank
Card uses card record data, the communication data of telephone network, the communication data of Internet.
Further, obtaining the mode of the monitoring data in the range of predeterminable area includes：It is total by the message of trunking mode
The messaging bus that the distributed post of line or high-throughput subscribes to message system kafka obtains the monitoring data.
Further, the characteristic information of the personnel to be identified prestored is matched with the monitoring data, including：
By different types of data in the characteristic information and the monitoring data using the progress of distributed Stream Processing framework
Match somebody with somebody.
According to another aspect of the present invention there is provided a kind of personal identification processing unit, including：
Acquisition module, for obtaining the monitoring data in the range of predeterminable area；
Matching module, for the characteristic information of the personnel to be identified prestored to be matched with the monitoring data；
Determining module, in the case where matching is consistent, determining that the monitoring data includes the personnel's to be identified
Data.
Further, wherein, the characteristic information include at least one of：Face characteristic information, voiceprint, body
Part characteristic information.
Further, the identity characteristic information includes：The telephone number of the personnel to be identified, the personnel to be identified
ID card information, the bank card information of the personnel to be identified, the name information of the personnel to be identified.
Further, described device also includes：
Locating module, for the present bit confidence according to personnel to be identified described in the position information confirming in the monitoring data
Breath；
Alarm module, for sending a warning message, wherein, the warning information is carried to be treated described in the monitoring data
The data of identification personnel；
Display module, the data for showing personnel to be identified described in the monitoring data.
Further, also include in the characteristic information of the personnel to be identified prestored：The pass of the personnel to be identified
The characteristic information of connection personnel.
Further, the monitoring data includes at least one of：Video monitoring data, voice monitoring data, bank
Card uses card record data, the communication data of telephone network, the communication data of Internet.
Further, obtaining the mode of the monitoring data in the range of predeterminable area includes：It is total by the message of trunking mode
The messaging bus that the distributed post of line or high-throughput subscribes to message system kafka obtains the monitoring data.
Further, the characteristic information of the personnel to be identified prestored is matched with the monitoring data, including：
By different types of data in the characteristic information and the monitoring data using the progress of distributed Stream Processing framework
Match somebody with somebody.
A kind of personal identification processing system is additionally provided according to another aspect of the present invention, including：Tracking human-machine interaction layer,
Track acquisition layer, tracking process layer；
The tracking human-machine interaction layer obtains the characteristic information of personnel to be identified；
The tracking acquisition layer obtains the monitoring data in the range of predeterminable area；
The tracking process layer is matched the characteristic information of the personnel to be identified with the monitoring data；
The tracking process layer determines that the monitoring data includes the personnel's to be identified in the case where matching is consistent
Data.
By the present invention, the monitoring data in the range of predeterminable area is obtained；By the feature of the personnel to be identified prestored
Information is matched with the monitoring data；In the case where matching is consistent, determine that the monitoring data includes the people to be identified
The data of member, solve the poor in timeliness of tracker, it is impossible to timely and effective the problem of find tracker, improve search effect
Rate, Search Results are more accurately and timely.
Brief description of the drawings
Accompanying drawing described herein is used for providing a further understanding of the present invention, constitutes the part of the application, the present invention
Schematic description and description be used for explain the present invention, do not constitute inappropriate limitation of the present invention.In the accompanying drawings：
Fig. 1 is the flow chart of personal identification processing method according to embodiments of the present invention；
Fig. 2 is a kind of structured flowchart one of personal identification processing unit according to embodiments of the present invention；
Fig. 3 is a kind of structured flowchart two of personal identification processing unit according to embodiments of the present invention；
Fig. 4 is architectural framework figure of the preferred embodiment of the present invention by big data real-time tracking people；
Fig. 5 is the flow chart of the system processing of the preferred embodiment of the present invention.
Embodiment
Describe the present invention in detail below with reference to accompanying drawing and in conjunction with the embodiments.It should be noted that in the feelings not conflicted
Under condition, the feature in embodiment and embodiment in the application can be mutually combined.
It should be noted that term " first ", " second " in description and claims of this specification and above-mentioned accompanying drawing
Etc. being for distinguishing similar object, without for describing specific order or precedence.
A kind of personal identification processing method is provided in the present embodiment, and Fig. 1 is personal identification according to embodiments of the present invention
The flow chart of processing method, as shown in figure 1, the flow comprises the following steps：
Step S102, obtains the monitoring data in the range of predeterminable area；
Step S104, the characteristic information of the personnel to be identified prestored is matched with the monitoring data；
Step S106, in the case where matching is consistent, determines that the monitoring data includes the data of the personnel to be identified.
By above-mentioned steps, the monitoring data in the range of predeterminable area is obtained；By the spy of the personnel to be identified prestored
Reference breath is matched with the monitoring data；In the case where matching is consistent, determine that the monitoring data includes this to be identified
The data of personnel, solve the poor in timeliness of tracker, it is impossible to timely and effective the problem of find tracker, improve search
Efficiency, Search Results are more accurately and timely.
In the present embodiment, this feature information includes at least one of：Face characteristic information, voiceprint, identity is special
Reference ceases.The main mobile phone phonetic from personnel to be identified of voiceprint is conversed, and voice-over-net call, Internet video is led to
Gathered data in words.
In the present embodiment, the identity characteristic information includes：The telephone number of the personnel to be identified, the personnel's to be identified
ID card information, the bank card information of the personnel to be identified, the name information of the personnel to be identified.Telephone number includes hand
Machine contact person, wechat contact person；ID card information includes passport, student's identity card, army's testimony of a witness etc., even mass transit card；Treat
The name information of identification personnel is not only named word, on ordinary days in friend relatives the pet name, user name etc..
In the present embodiment, after determining the data that the monitoring data includes the personnel to be identified, also including it is following at least
One of：
According to the current location information of the personnel to be identified of the position information confirming in the monitoring data, be defined as it is to be identified
After personnel, the uniquely tagged in the monitoring place carried according to corresponding monitoring data positions personnel to be identified；
Send a warning message, wherein, the warning information carries the data of the personnel to be identified of this in the monitoring data, sends
Warning information prompting operator on duty notes having personnel to be identified to haunt；
The data of the personnel to be identified of this in the monitoring data are shown, display data includes corresponding matching picture, voice call
Content etc..
In the present embodiment, also include in the characteristic information of the personnel to be identified prestored：The pass of the personnel to be identified
The characteristic information of connection personnel, the information input of the related personnel known each other with personnel to be identified is conducive to finding more with treating
The information of identification personnel, identifies people to be identified in time.
In the present embodiment, the monitoring data includes at least one of：Video monitoring data, voice monitoring data, silver
What row blocked uses card record data, and the communication data of telephone network, the communication data of Internet gives full play to related skill
The strength of big data in art, gathers more Various types of data, quickly filters out useful information.
In the present embodiment, obtaining the mode of the monitoring data in the range of predeterminable area includes：Pass through disappearing for trunking mode
The distributed post subscription message system kafka of bus or high-throughput messaging bus is ceased, the monitoring data is obtained.
In the present embodiment, the characteristic information of the personnel to be identified prestored is matched with the monitoring data, including：
This feature information is matched with different types of data in the monitoring data using distributed Stream Processing framework.Point
The Stream Processing framework of cloth can be Apache Storm, or, Spark Streaming, but it is not limited to the above two
Kind.
A kind of personal identification processing unit is additionally provided in the present embodiment, and the device is used to realize above-described embodiment and preferred
Embodiment, had carried out repeating no more for explanation.As used below, term " module " can be realized predetermined
The combination of the software and/or hardware of function.Although the device described by following examples is preferably realized with software,
It is hardware, or the realization of the combination of software and hardware is also that may and be contemplated.
Fig. 2 is a kind of structured flowchart one of personal identification processing unit according to embodiments of the present invention, as shown in Fig. 2 should
Device includes：
Acquisition module 22, for obtaining the monitoring data in the range of predeterminable area；
Matching module 24, is connected with acquisition module 22, for by the characteristic information of the personnel to be identified prestored with should
Monitoring data is matched；
Determining module 26, is connected with matching module 24, in the case where matching is consistent, determining in the monitoring data
Include the data of the personnel to be identified.
By above-mentioned steps, acquisition module 22 obtains the monitoring data in the range of predeterminable area, and matching module 24 will be pre-
The characteristic information of the personnel to be identified first stored is matched with the monitoring data, and determining module 26 is matching consistent feelings
Under condition, determine that the monitoring data includes the data of the personnel to be identified, solve the poor in timeliness of tracker, it is impossible to and
The problem of Shi Youxiao finds tracker, improves searching efficiency, Search Results are more accurately and timely.
Fig. 3 is a kind of structured flowchart two of personal identification processing unit according to embodiments of the present invention, as shown in figure 3, should
Device also includes in addition to including all modules shown in Fig. 2：
Locating module 32, is connected with determining module 26, for according to the position information confirming in the monitoring data, this to wait to know
The current location information of others' member；
Alarm module 34, is connected with determining module 26, for sending a warning message, wherein, the warning information is carried
The data of the personnel to be identified of this in the monitoring data；
Display module 36, is connected with determining module 26, the data for showing the personnel to be identified of this in the monitoring data.
Embodiments of the invention additionally provide a kind of personal identification processing system, including：Tracking human-machine interaction layer, tracking are adopted
Collect layer, tracking process layer；
Tracking human-machine interaction layer obtains the characteristic information of personnel to be identified；
The tracking acquisition layer obtains the monitoring data in the range of predeterminable area；
The tracking process layer is matched the characteristic information of the personnel to be identified with the monitoring data；
The tracking process layer determines that the monitoring data includes the data of the personnel to be identified in the case where matching is consistent.
It should be noted that above-mentioned modules can be by software or hardware to realize, for the latter, Ke Yitong
Cross in the following manner realization, but not limited to this：Above-mentioned module is respectively positioned in same processor；Or, above-mentioned module distinguishes position
In multiple processors.
With reference to preferred embodiment and embodiment, the present invention is described in detail.
The preferred embodiment of the present invention relies on recognition of face, speech recognition and other data sources, with reference to big data, can be with
Realize and carry out criminal, the tracking of Missing Persons in real time, the automatic flow such as alarm.
System described in the preferred embodiment of the present invention includes following functions module：
Data Enter module.Into system, typing is concerned the information of people, and recognition of face is the mug shot for being traced people,
Name, the pet name, nickname to be traced people of speech recognition etc., Application on Voiceprint Recognition is the family of tracked people, social pass
Be fixed line, the Mobile Directory Number of personnel, and tracked people voiceprint.
Real-time face, voice match module (equivalent to the matching module 24 of above-described embodiment).It is defeated from Data Enter module
In the perpetual object entered, with reference to the data source from information acquisition module, the matching of real-time face and vocal print is carried out, or
Person's speech recognition, when there are the data of matching, submits to alarm by corresponding initial data and alarm and information shows
Show module.
Information acquisition module (equivalent to the acquisition module 22 of above-described embodiment), the mainly source of data input.For
In recognition of face essentially from bank, supermarket, cell, traffic intersection monitoring video, according to certain week from video recording
The picture of phase interception, such as 5 seconds is the cycle, and the cycle is to obtain relatively reasonable but effective data volume, be directed to every
Individual monitoring needs a uniquely tagged, and self marker is carried simultaneously during reported data；It is mainly movement for speech recognition
The voice shunting of phone or landline telephone, needs to carry numbers of calling and called parties when reporting information.Related data is carried together
Give module real-time face, voice match module.
Alarm and information display module (equivalent to the alarm module 34 and display module 36 of above-described embodiment).As real-time people
Face, voice match module are given the correct time on qualified photo and call voice is detected, and information is opened up in a projecting manner
Present interface, while including the video or speech source of the contents such as related picture or call voice, and the alarm association
Data and other data source informations.
Wherein Data Enter module, alarm and information display module are human-computer interaction module, real-time face, voice match mould
Block, information acquisition module are real-time internal module.
Fig. 4 is in architectural framework figure of the preferred embodiment of the present invention by big data real-time tracking people, framework between each module
Relation is as shown in Figure 4.
System is generally divided into three layers：Track acquisition layer (equivalent to acquisition module 22 in above-described embodiment), tracking processing
Layer (equivalent to matching module 24 in above-described embodiment) and tracking human-machine interaction layer (including alarm module in above-described embodiment
34), tracking acquisition layer is exactly the collection for judging tracking user's information needed, main to complete reporting, intercepting for monitoring picture
Voice report and other as wechats, with card record reporting；Tracking process layer is mainly used for reported data with being traced
The information matches of people, mainly comprising recognition of face, Application on Voiceprint Recognition, because required data volume to be processed is big, so needing
It is distributed Stream Processing framework, can is Apache Storm, Spark Streaming, but be not limited to the above two
Kind；The main typing for completing tracked people's information of tracking human-machine interaction layer, and the related alarm for judging successful information and
Displaying.
Fig. 5 is the flow chart of the system processing of the preferred embodiment of the present invention, as shown in Figure 5
Step S501：Tracked people's picture, vocal print or card image typing, specifically by the system typing of man-machine interface
Module provides operation interface, after user uploads picture, vocal print or card image, by system typing module persistence,
And send matching module to, the information of each user is loaded into system by matching module, for during subsequent match by
Individual matching；
Step S502：Monitoring needs deployment software, and video is carried out into periodic picture acquisition, such as obtains every in video
The picture at individual 5 seconds intervals, is sent to matching module, mode can be the message of trunking mode by picture by real-time messages
Bus, can be kafka but be not limited to such a messaging bus, it is to avoid Single Point of Faliure and bottleneck, be needed when reporting same
When report the unique mark of this monitoring, for locking specific positional information after matching；Voice intercept needs intercept by
People's associated home relation, the fixed line or mobile phone of social relationships personnel are tracked, related voice carries out the acquisition of window phase,
Reported if obtaining after the voice of 5 second this period, report and also sent for real-time messages mode, mode can be cluster side
The messaging bus of formula, can be kafka but be not limited to such a messaging bus, it is to avoid Single Point of Faliure and bottleneck, report when
Wait calling number, the called number information for needing to report this to call simultaneously；The silver for being responsible for the tracked people of record is monitored with card
Row card using information and place of swiping the card, by information reporting matching module.
Step S503：Matching module is after the information reported is received, and judgement is pictorial information, with card information or language
Message ceases,
Step S504：After pictorial information is judged as, face alignment is carried out with the picture in lists of persons to be tracked,
If without qualified, this terminates, if qualified, then report the personnel, monitoring mark, on
The pictorial information of report sends alarm display module to.
Step S505：After voice messaging is judged as, carries out vocal print with the vocal print in lists of persons to be tracked and compare,
If without qualified, this terminates, and if qualified, then reports the personnel, calling number, quilt
Call out the numbers code, the voice messaging that reports sends alarm display module to.
Step S506：It is being judged as, with after card information, being used with the identity characteristic information in lists of persons to be tracked
Card is compared, if without qualified, this terminates, if qualified, then report the personnel with card
Information, address of swiping the card sends alarm display module to.
Step S507：Alarm module enters administrative staff's verification after prompt message is received, manually, is directed to monitor mode
The allotment contact method of periphery police strength is provided, alarm further can be directly issued and go in the system on periphery, be directed to voice
Can according to mobile phone numbers of calling and called parties carry out base station triangle polyester fibre, obtain relevant location information, equally provide periphery police strength
Allotment contact method, further can directly issue alarm and go in the system on periphery timely to carry out police strength transfer.
The data got in step S502, it is contemplated that privacy problem, without persistence, only in condition
Human-computer interaction module is just uploaded to when matching, it is to avoid legal risk.
Further, when data volume is excessive, the system can be made up of multiple, as according to division province of city, province
Information is provided by all cities, and each city only needs to report qualified data, in the tracking people of each local typing
Member, is synchronized in the system of the whole province.The system is set up by way of similar administrative level, is extended.
With reference to concrete application scene, the present invention is described in detail.
Scene 1：The positioning of lost children, old man are carried out using recognition of face
Children will often find that phenomenon of wandering away due to the carelessness of care provider, and the influence impact for family is very big.Often
Dial 110 after alarm, due to existing search pattern, causing to have the long period can just find, for the psychology of parent
Pressure is very big.After using the system, after 110 alarm is connected to, the photo of related lost children is subjected to typing system
System is carried out from motion tracking.Because the loss of children generally occurs in cell, market, supermarket, so system needs access
Above-mentioned monitoring system, while needing to access the monitoring of traffic department, to obtain the process of whereabouts change.
Old man wanders away turns into an increasingly severe social concern.It is reported that, missing old man is with senile dementia
Patient is in the majority.Once there is Media Analysis, old man's wanders away except having outside the Pass with self-disease again and again, urban construction and life side
The continuous change of formula, is also the reason for allowing them easily to lose.And " Empty nest elderly " is more and more now, Ta Men
Often member is single in life, incapable persons look after, and it be difficult to know for the moment to have wandered away.Due to existing search pattern, cause to have
Long period can just be found；Family members will often expend many energy simultaneously, also to be taken precautions against after finding and occur such case again,
Largely bring larger workload to the police simultaneously.Analyzed according to shrink, experience of once wandering away, can also give old man
Psychologically bring very big wound.After using the system, after 110 alarm is connected to, by the related photo for losing old man
Input system is carried out to carry out from motion tracking.
Specific implementation step is as follows：
Step 11, access cell, market, supermarket and the monitoring device of traffic department, are compiled simultaneously for monitoring device
Number；
Step 12, in 110 alarm stations the system is disposed, when children are connected to or old man wanders away, obtain lost children
Or the photo of old man, its input system is carried out from motion tracking；
Step 13, in monitoring matching, regularly (5 seconds) are matched with lost children or old man's picture.If mismatching
Carry out next；Matching then enters flow 4；
Step 14, matching module identify related monitoring when the monitoring of lost children or old man is matched, and
Related picture reports to alarm display module；
Step 15, alarm display module are shown after the picture and information of correlation is received, and operator artificial nucleus are to being
No is lost children or old man, and the father and mother that photo can also be issued to related personnel confirm, while the coordination of periphery police strength is carried out,
Because now promptness is critically important；
After step 16, really admit a fault lost children or old man, police strength is recalled；If it is, police strength proceeds to search
Journey.
Scene 2：The positioning for carrying out criminal using being recorded with card
Specific implementation step is as follows：
Step 21, the card of using of access ATM in bank are recorded, the POS in access market etc.；
ID card information is handed down to matching module by the ID card information of step 22, in systems typing criminal, system；
Step 23, access ATM, POS when every transaction is produced, report acquisition module ID card information,
And ATM or POS position；
Step 24, matching module are after criminal's ID card information is matched, and report and alarm is carried simultaneously to display module
ATM and POS positional information；
Step 25, alarm display module are shown after the information of correlation is received, while according to ATM or POS
Positional information carry out periphery police strength scheduling.
Scene 3：The positioning of criminal is carried out using Application on Voiceprint Recognition, speech recognition
The tracking of criminal lacks effective method now, and search many times carries out police strength input according to significance level.
The mode put on someone's head has many times reacted the significance level to criminal, and a kind of limited embodiment of means.Input it is very big but
It is that DeGrain is urgent problem to be solved at this stage.
After using the system, the vocal print of related criminal is subjected to input system and carried out from motion tracking.
Specific implementation step is as follows：
Step 31, the family relationship to criminal, social relationships are analyzed, and find out fixed line, the mobile phone of related personnel
Information, collected；
Step 32, the number progress input system by collection, while by the vocal print of criminal also input system, system is carried out certainly
Motion tracking voice is intercepted.This is efficient but incomplete mode, if to need to detect all voices comprehensively
Listen；
Step 33, reported intercepting timing voice (5 seconds), voice print matching is carried out first.Enter if mismatching
Row is next；Matching then enters flow 5；
Step 34 and then progress speech recognition, mainly according to the name of criminal, nickname, another name, if in voice
Find and identify relevant information, then into flow 5；
Step 35, matching module are when the vocal print for matching criminal either identifies corresponding name, nickname, another name
Wait, by the voice of corresponding session, and related numbers of calling and called parties and its information reporting are to alerting display module；
Step 36, alarm display module are shown after sound and information is received, and whether operator artificial nucleus are to being institute
Track a criminal, while carrying out number positioning by number, carry out the coordination of periphery police strength；
Step 37, really admit a fault and tracked a criminal after, recall police strength；If it is, police strength proceeds search procedure.
Scene 4：The positioning of criminal is carried out using recognition of face
The tracking of criminal lacks effective method now, and search many times carries out police strength input according to significance level.
The mode put on someone's head has many times reacted the significance level to criminal, and a kind of limited embodiment of means.Input it is very big but
It is that DeGrain is urgent problem to be solved at this stage.
After using the system, the photo of related criminal is subjected to input system and carried out from motion tracking.
Specific implementation step is as follows：
Step 41, access cell, market, supermarket and the monitoring device of traffic department, are compiled simultaneously for monitoring device
Number；
Step 42, the photo for obtaining criminal, its input system is carried out from motion tracking；
Step 43, monitoring matching with criminal's picture regularly (5 seconds) matched.Carried out if mismatching next；
Matching then enters flow 4；
Step 44, matching module identify related monitoring when the monitoring of criminal is matched, and related picture
Report to alarm display module；
Step 45, alarm display module are shown after the picture and information of correlation is received, and operator artificial nucleus are to being
No is criminal, while the coordination of periphery police strength is carried out, because now promptness is critically important；
After step 46, the criminal that really admits a fault, police strength is recalled；If it is, police strength proceeds search procedure.
The system that the preferred embodiment of the present invention is tracked by big data real-time face and speech recognition progress Missing Persons, criminal,
Compared with existing criminal follows the trail of, Missing Persons inquire about, automation is accomplished first, has significantly improved accuracy
And efficiency, next real-time characteristic, for ageing higher under two kinds of scenes, in combination with present big data technology
Improve ageing so that related information is much sooner, effectively.
Through the above description of the embodiments, those skilled in the art can be understood that according to above-described embodiment
Method the mode of required general hardware platform can be added to realize by software, naturally it is also possible to by hardware, but a lot
In the case of the former be more preferably embodiment.Understood based on such, technical scheme is substantially in other words to existing
The part for having technology to contribute can be embodied in the form of software product, and the computer software product is stored in one
In storage medium (such as ROM/RAM, magnetic disc, CD), including some instructions are make it that a station terminal equipment (can
To be mobile phone, computer, server, or network equipment etc.) perform method described in each embodiment of the invention.
Embodiments of the invention additionally provide a kind of storage medium.Alternatively, in the present embodiment, above-mentioned storage medium can
The program code for performing above-described embodiment step to be arranged to storage to be used for：
Alternatively, storage medium is also configured to the program code that storage is used to perform above-described embodiment step：
Alternatively, in the present embodiment, above-mentioned storage medium can include but is not limited to：USB flash disk, read-only storage (ROM,
Read-Only Memory), random access memory (RAM, Random Access Memory), mobile hard disk,
Magnetic disc or CD etc. are various can be with the medium of store program codes.
Alternatively, in the present embodiment, processor performs above-described embodiment according to the program code stored in storage medium
Method and step.
Alternatively, the specific example in the present embodiment may be referred to showing described in above-described embodiment and optional embodiment
Example, the present embodiment will not be repeated here.
Obviously, those skilled in the art should be understood that above-mentioned each module of the invention or each step can be with general
Computing device realizes that they can be concentrated on single computing device, or is distributed in multiple computing devices and is constituted
Network on, alternatively, the program code that they can be can perform with computing device be realized, it is thus possible to by they
Storage is performed by computing device in the storage device, and in some cases, can be to be held different from order herein
They, are either fabricated to each integrated circuit modules or will be many in them by the shown or described step of row respectively
Individual module or step are fabricated to single integrated circuit module to realize.So, the present invention is not restricted to any specific hardware
Combined with software.
The preferred embodiments of the present invention are the foregoing is only, are not intended to limit the invention, for the technology of this area
For personnel, the present invention can have various modifications and variations.Within the spirit and principles of the invention, that is made is any
Modification, equivalent, improvement etc., should be included within the scope of the present invention.
Claims (17)
1. a kind of personal identification processing method, it is characterised in that including：
Obtain the monitoring data in the range of predeterminable area；
The characteristic information of the personnel to be identified prestored is matched with the monitoring data；
In the case where matching is consistent, determine that the monitoring data includes the data of the personnel to be identified.
2. according to the method described in claim 1, it is characterised in that wherein, the characteristic information includes at least one of：
Face characteristic information, voiceprint, identity characteristic information.
3. method according to claim 2, it is characterised in that the identity characteristic information includes：
The telephone number of the personnel to be identified, the ID card information of the personnel to be identified, the personnel to be identified
Bank card information, the name information of the personnel to be identified.
4. according to the method described in claim 1, it is characterised in that determine that the monitoring data includes the people to be identified
After the data of member, also including at least one of：
Current location information according to personnel to be identified described in the position information confirming in the monitoring data；
Send a warning message, wherein, the warning information carries personnel to be identified described in the monitoring data
Data；
Show the data of personnel to be identified described in the monitoring data.
5. according to the method described in claim 1, it is characterised in that the characteristic information of the personnel to be identified prestored
In also include：
The characteristic information of the associate people of the personnel to be identified.
6. according to the method described in claim 1, it is characterised in that the monitoring data includes at least one of：
Video monitoring data, voice monitoring data, bank card uses card record data, the communication data of telephone network,
The communication data of Internet.
7. according to the method described in claim 1, it is characterised in that obtain the side of the monitoring data in the range of predeterminable area
Formula includes：
Message system kafka message is subscribed to by the messaging bus of trunking mode or the distributed post of high-throughput
Bus obtains the monitoring data.
8. method according to any one of claim 1 to 7, it is characterised in that by the personnel to be identified prestored
Characteristic information matched with the monitoring data, including：
Different types of data in the characteristic information and the monitoring data are used into distributed Stream Processing frame
Frame is matched.
9. a kind of personal identification processing unit, it is characterised in that including：
Acquisition module, for obtaining the monitoring data in the range of predeterminable area；
Matching module, for the characteristic information of the personnel to be identified prestored to be matched with the monitoring data；
Determining module, in the case where matching is consistent, determining that the monitoring data includes the people to be identified
The data of member.
10. device according to claim 9, it is characterised in that wherein, the characteristic information includes at least one of：
Face characteristic information, voiceprint, identity characteristic information.
11. device according to claim 10, it is characterised in that the identity characteristic information includes：
The telephone number of the personnel to be identified, the ID card information of the personnel to be identified, the personnel to be identified
Bank card information, the name information of the personnel to be identified.
12. device according to claim 9, it is characterised in that described device also includes：
Locating module, for the present bit according to personnel to be identified described in the position information confirming in the monitoring data
Confidence ceases；
Alarm module, for sending a warning message, wherein, the warning information carries institute in the monitoring data
State the data of personnel to be identified；
Display module, the data for showing personnel to be identified described in the monitoring data.
13. device according to claim 9, it is characterised in that the characteristic information of the personnel to be identified prestored
In also include：
The characteristic information of the associate people of the personnel to be identified.
14. device according to claim 9, it is characterised in that the monitoring data includes at least one of：
Video monitoring data, voice monitoring data, bank card uses card record data, the communication data of telephone network,
The communication data of Internet.
15. device according to claim 9, it is characterised in that obtain the side of the monitoring data in the range of predeterminable area
Formula includes：
Message system kafka message is subscribed to by the messaging bus of trunking mode or the distributed post of high-throughput
Bus obtains the monitoring data.
16. the device according to any one of claim 9 to 15, it is characterised in that by the people to be identified prestored
The characteristic information of member is matched with the monitoring data, including：
Different types of data in the characteristic information and the monitoring data are used into distributed Stream Processing frame
Frame is matched.
17. a kind of system of personal identification processing, it is characterised in that including：Tracking human-machine interaction layer, tracking acquisition layer, with
Track process layer；
The tracking human-machine interaction layer obtains the characteristic information of personnel to be identified；
The tracking acquisition layer obtains the monitoring data in the range of predeterminable area；
The tracking process layer is matched the characteristic information of the personnel to be identified with the monitoring data；
The tracking process layer determines that the monitoring data includes the people to be identified in the case where matching is consistent
The data of member.
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610015535.5A CN106960172A (en) | 2016-01-08 | 2016-01-08 | Personal identification processing method, apparatus and system |
| PCT/CN2016/078901 WO2017117879A1 (en) | 2016-01-08 | 2016-04-08 | Personal identification processing method, apparatus and system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610015535.5A CN106960172A (en) | 2016-01-08 | 2016-01-08 | Personal identification processing method, apparatus and system |
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| CN201610015535.5A Pending CN106960172A (en) | 2016-01-08 | 2016-01-08 | Personal identification processing method, apparatus and system |
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| WO (1) | WO2017117879A1 (en) |
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