CN109190498A - A method of the case intelligence string based on recognition of face is simultaneously - Google Patents
A method of the case intelligence string based on recognition of face is simultaneously Download PDFInfo
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Abstract
The invention belongs to science and technology strengthening police technical field, a kind of specific case intelligence string based on recognition of face and method.The present invention the following steps are included: 1), establish suspected target bottom library；2), the update in suspected target bottom library and suspect's image face retrieval；3), manual review and label search result；4) mapping relations of case, suspect's image and labeled target, are formed；5) mapping relations, are based on, list of combining related cases is formed.The present invention can effectively combine face recognition technology, case intelligent analysis technology and investigator's smell of powder and knowledge, to provide information of more accurately combining related cases for investigator, can significantly improve the efficiency of case investigation.
Description
Technical field
The invention belongs to science and technology strengthening police technical field, a kind of specific case intelligence string based on recognition of face and side
Method.
Background technique
With the rapid development of economy, stealing in recent years, swindling crime case number of packages and account for criminal case several specific gravity of putting on record and get over
Come bigger, and fleeing of crime, team, professional feature is increasingly presented in such case, generates to the prosperity and stability of society
Extreme influence.Theft, swindle crime case are often serial case, i.e., in a phase, one or a gang of's crime point
Son carries out continuous several times and commits a crime, and constitutes a batch and seems respective independence, there is the case of inner link actually.And in real work,
Since the range that case data are related to is wide, independently of one another, how effectively going here and there serial case and analyzing is public security investigation
An important project during handling a case.
The science and technology strengthening polices item such as " safe city ", " 3111 engineering ", " prevention and control of urban tridimensionalization public security ", " smart city " now
The development that mesh deepens continuously, Video Supervision Technique generally carry out application at home, have been realized in the sharpening and height of video
Effect storage, the more and more extensive application of case investigation based on video technique, and produce a large amount of image hint information.And with
The high-tech fast development such as cloud computing, big data, artificial intelligence, face recognition technology are more deepened in field of video monitoring application
Enter.It how to be effectively combined the intelligentized part of combining related cases of face recognition technology, reduces human resources investment, case string is promoted and imitates
Rate is case string and the worth research direction in one, field.
Summary of the invention
The purpose of the present invention is overcoming above-mentioned the deficiencies in the prior art, it is intelligent to provide a kind of case based on recognition of face
The method of string simultaneously；The present invention can effectively pass through face recognition technology, case intelligent analysis technology and investigator under battle conditions
It tests and is combined with knowledge, to provide information of more accurately combining related cases for investigator, the efficiency of case investigation can be significantly improved.
To achieve the above object, the invention adopts the following technical scheme:
A method of the case intelligence string based on recognition of face is simultaneously, comprising the following steps:
1) suspected target bottom library, is established；
Suspected target bottom library is established, and by after the suspect's image recognition of face uploaded during investigation, is stored in suspicion mesh
Base number of a tender library；It is stored in information and includes at least recognition of face structured message, affiliated case and uplink time；
2), the update in suspected target bottom library and suspect's image face retrieval；
Occur the new suspect's image for carrying out recognition of face during investigation, then suspect's image is carried out
Suspected target bottom library is stored in after recognition of face；Meanwhile traverse suspected target bottom library in each suspect's image, retrieve with
The similarity of new suspect's image meets the image of threshold value, and is shown to search result；
3), manual review and label search result；
It is artificial that the search result is checked again in conjunction with deposit information after obtaining the search result in step 2), and
It is determined as the same target or related objective in review, is marked by manually mode；
4) it, is based on the label situation of step 3), forms the mapping relations of case, suspect's image and labeled target；
5) mapping relations, are based on, list of combining related cases is formed.
Preferably, the step 1) and 2) in, recognition of face and deposit suspected target bottom library process include following sub-step
It is rapid:
01, suspect's image is inputted:
It is investigated and prosecuted situation according to case, suspect's image obtained in investigation is uploaded to system；
02, image preprocessing:
Successively suspect's image of input is carried out using Gamma correction, difference gaussian filtering and histogram equalization pre-
Processing；
03, Face datection:
Whether Face datection algorithm based on Gabor+BP neural network, detecting in suspect's image has a face, and by people
Face image is split from background, obtains position of the certain organs on facial image or facial image on suspect's image
It sets；
04, face characteristic is extracted stores with storage:
Piecemeal is carried out to the facial image detected in previous step, the LBP feature for extracting every piece of region forms local spy
Sign description, then is mapped to an encoded radio for the local feature description, finally by facial image and encoded radio, affiliated case and
Uplink time is stored in jointly in the library of suspected target bottom.
Preferably, the affiliated case includes at least following information: case type, crime place, crime time, case are retouched
It states.
The beneficial effects of the present invention are:
1), present invention incorporates face recognition technology, case intelligent analysis technology and investigator's smell of powder and
Knowledge carries out recognition of face to the suspect's image uploaded during case investigation first by Static Human Face recognizer,
To establish suspected target bottom library.And then above-mentioned recognition of face is repeated to the new suspect's image uploaded every time, and
Synchronize the face retrieval for carrying out suspect's image.After again, it is contemplated that the error rate of face recognition technology, in conjunction with artificial dry
In advance, to realize the review to search result and handmarking, case, suspect's image and label mesh are finally also formed
Target mapping relations, and list of combining related cases is subsequently formed so that investigator refers to and uses.By the above method, the present invention can
The intelligent string for effectively realizing case simultaneously, greatly reduces the artificial investment of case string simultaneously, and the labour for reducing investigator is strong
Degree, and the human error under the amount of labour of huge repeatability is avoided, while promoting the accuracy that case is investigated and prosecuted again
The efficiency that case is investigated and prosecuted is effectively increased therewith, is achieved noticeable achievement.
Detailed description of the invention
Fig. 1 is schematic process flow diagram of the invention；
Fig. 2 is the relational graph between case in the present invention, facial image and label target；
Fig. 3 is the flow diagram of recognition of face, deposit suspected target bottom library and face alignment.
Specific embodiment
For ease of understanding, here in connection with Fig. 1-3, specific structure and working method of the invention are retouched further below
It states:
The method of the case intelligence string based on recognition of face simultaneously that the present invention provides a kind of, core concept are: first
First, suspected target bottom library is established；Based on the suspect's image uploaded during case investigation, after recognition of face processing, deposit
Suspected target bottom library.Then, during case investigation, collected new suspect's image is repeated at aforementioned recognition of face
Reason and deposit operation, then carry out at automatic face retrieval in the library of suspected target bottom further according to new suspect's image
Reason obtains search result.After again, by way of manual intervention, above-mentioned search result is marked, obtains label target.Finally, base
Case, suspect's image are formed in conjunction with information such as affiliated case and uplink times in search result and handmarking's situation
And the mapping relations of label face, list of combining related cases finally is automatically formed, detailed process is shown referring to Fig.1.
Fig. 2 show the relationship of case, facial image and label target, and case and the mapping relations of suspect's image are 1:
N, and the mapping relations of suspect's image and label face are N:M.Namely a case, have one or more suspect's images
Matching, and there is the label face of one to many places to occur.
It is illustrated in figure 3 the flow diagram of recognition of face, deposit suspected target bottom library and face alignment, step is such as
Under:
01, suspect's image is inputted:
It is investigated and prosecuted situation according to case, suspect's image obtained in investigation is uploaded to system.Suspect's image obtains
Taking approach includes the case correlation suspect's image intercepted in video monitoring fact or video recording, or passes through social resources, public security
The approach such as net resource obtain suspect's image etc..
02, image preprocessing:
Successively suspect's image of input is carried out using Gamma correction, difference gaussian filtering and histogram equalization pre-
Processing, to eliminate the situation low because of face identification rate caused by illumination variation.
03, Face datection:
Whether Face datection algorithm based on Gabor+BP neural network, detecting in suspect's image has a face, and by people
Face image is split from background, obtains position of the certain organs on facial image or facial image on suspect's image
It sets；
04, face characteristic is extracted stores with storage:
Piecemeal is carried out to the facial image detected in previous step, the LBP feature for extracting every piece of region forms local spy
Sign description, then is mapped to an encoded radio for the local feature description, finally by facial image and encoded radio, affiliated case and
Uplink time is stored in jointly in the library of suspected target bottom.In other words, it can be regarded as the LBP by existing information namely every piece of region
Feature forms conceptual information namely local feature description, then conceptual information is converted to the logical message namely volume that system can be read
Code value.For system when carrying out similarity judgement, the similarity of encoded radio is important judgement element.
05, it whenever a suspect's image of new upload, requires process according to Fig.3, and is pocessed.And it is handling
Afterwards, each suspect's image in the library of suspected target bottom is traversed according to new suspect's image, to retrieve similar
Suspect's image in threshold range is spent, later i.e. exportable search result.
And when investigator carries out manual intervention and label to search result, deterministic process should be related to affiliated case
Information review, including case type, crime place, the crime time, case description etc., so as to integrate the review information come it is more quasi-
True label target, and then quickly form list of combining related cases.The selected of threshold value then takes the circumstances into consideration to select according to the actual situation, such as artificial to draw
The percentage etc. of the similarity of lacing code value, to obtain the search result for meeting threshold value.
In conclusion first by Static Human Face recognizer, to the suspect's image uploaded during case investigation
Recognition of face is carried out, to establish suspected target bottom library.And then on repeating to the new suspect's image uploaded every time
Recognition of face is stated, and synchronizes the face retrieval for carrying out suspect's image.After again, it is contemplated that the error rate of face recognition technology,
Manual intervention is carried out to search result by investigator of a line etc. again, to realize the review to search result and artificial mark
Note obtains case, suspect's image and the mapping relations for marking target therewith, and ultimately forms list of combining related cases for investigation
Personnel's reference and use.By the above method, the present invention can effectively realize the intelligent string of case simultaneously, greatly reduce case string
And artificial investment, reduce the labor intensity of investigator, and avoid the artificial mistake under the amount of labour of huge repeatability
Difference effectively increases while promoting the accuracy that case is investigated and prosecuted and therewith the efficiency that case is investigated and prosecuted, achieves noticeable achievement.
Claims (3)
1. a kind of method of case intelligence string based on recognition of face simultaneously, it is characterised in that the following steps are included:
1) suspected target bottom library, is established；
Suspected target bottom library is established, and by after the suspect's image recognition of face uploaded during investigation, is stored in suspected target bottom
Library；It is stored in information and includes at least recognition of face structured message, affiliated case and uplink time；
2), the update in suspected target bottom library and suspect's image face retrieval；
Occur the new suspect's image for carrying out recognition of face during investigation, then face is carried out to suspect's image
Suspected target bottom library is stored in after identification；Meanwhile each suspect's image in the library of suspected target bottom is traversed, it retrieves new with this
The similarity of suspect's image meet the image of threshold value, and search result is shown；
3), manual review and label search result；
It is artificial that the search result is checked again in conjunction with deposit information after obtaining the search result in step 2), and multiple
It is determined as the same target or related objective when core, is marked by manually mode；
4) it, is based on the label situation of step 3), forms the mapping relations of case, suspect's image and labeled target；
5) mapping relations, are based on, list of combining related cases is formed.
2. a kind of method of case intelligence string based on recognition of face according to claim 1 simultaneously, it is characterised in that: institute
State step 1) and 2) in, recognition of face and deposit suspected target bottom library process include following sub-step:
01, suspect's image is inputted:
It is investigated and prosecuted situation according to case, suspect's image obtained in investigation is uploaded to system；
02, image preprocessing:
Successively suspect's image of input is pre-processed using Gamma correction, difference gaussian filtering and histogram equalization；
03, Face datection:
Whether Face datection algorithm based on Gabor+BP neural network, detecting in suspect's image has a face, and by face figure
As splitting from background, position of the certain organs on facial image or facial image on suspect's image is obtained；
04, face characteristic is extracted stores with storage:
Piecemeal is carried out to the facial image detected in previous step, the LBP feature for extracting every piece of region forms local feature and retouches
It states, then the local feature description is mapped to an encoded radio, finally by facial image and encoded radio, affiliated case and upload
Time is stored in jointly in the library of suspected target bottom.
3. a kind of method of case intelligence string based on recognition of face according to claim 1 or 2 simultaneously, feature exist
In: case belonging to described includes at least following information: case type, crime place, crime time, case description.
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Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN110008362A (en) * | 2019-03-05 | 2019-07-12 | 青岛海信网络科技股份有限公司 | A kind of case classifying method and device |
| CN110619064A (en) * | 2019-08-29 | 2019-12-27 | 苏州千视通视觉科技股份有限公司 | Case studying and judging method and device based on deep learning |
| CN110825893A (en) * | 2019-09-18 | 2020-02-21 | 北京旷视科技有限公司 | Target searching method, device, system and storage medium |
| CN111898572A (en) * | 2020-08-05 | 2020-11-06 | 杭州云栖智慧视通科技有限公司 | Case intelligent serial-parallel method based on shape recognition |
| CN112347296A (en) * | 2020-11-16 | 2021-02-09 | 罗普特科技集团股份有限公司 | Person and case association analysis method and device based on face recognition |
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