CN110516499A - The flow and method of dynamic crowd face identification system - Google Patents
The flow and method of dynamic crowd face identification system Download PDFInfo
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- CN110516499A CN110516499A CN201810486623.2A CN201810486623A CN110516499A CN 110516499 A CN110516499 A CN 110516499A CN 201810486623 A CN201810486623 A CN 201810486623A CN 110516499 A CN110516499 A CN 110516499A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/40—Scenes; Scene-specific elements in video content
- G06V20/41—Higher-level, semantic clustering, classification or understanding of video scenes, e.g. detection, labelling or Markovian modelling of sport events or news items
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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
- G06V40/16—Human faces, e.g. facial parts, sketches or expressions
- G06V40/161—Detection; Localisation; Normalisation
- G06V40/166—Detection; Localisation; Normalisation using acquisition arrangements
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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
- G06V40/16—Human faces, e.g. facial parts, sketches or expressions
- G06V40/168—Feature extraction; Face representation
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Abstract
The invention discloses the flow and methods of dynamic crowd face identification system, including real-time video face alignment, image retrieval face alignment；Real-time video face alignment passes through the live video stream of common high-definition network camera or the face picture stream of face snap unit, the extraction of face characteristic data can be carried out by the dynamic portrait algorithm under recognition of face server, and traversal is carried out with the facial feature database in blacklist library in real time and is compared, and each comparison result of feedback platform；Image retrieval face alignment submits the face picture or video recording that need to retrieve by platform client, recognition of face server extracts face picture characteristic, traversal is carried out with the face characteristic data in face snap library or face registration library to compare, and comparison result is finally showed by platform.
Description
Technical field
The present invention relates to recognitions of face, and in particular to the flow and method of dynamic crowd face identification system.
Background technique
Portrait big data system is positioned and is identified Compare System using efficient Face datection, can help public affairs at the first time
Peace investigator, which quickly identifies, distinguishes specific people's true identity, and the video image resource for manually being checked magnanimity the past is compared and needed
It asks and comes true, to effectively provide effective side in actual combat for public security video investigation, security administration, the criminal investigation work such as put on record
It helps and solution.Second can help public security investigator to trace and order to arrest when handling a case, and really become anti-from beating, can be very big
The wasting of resources of reduction police strength and contingency occurrence probability.
Summary of the invention
Recognition of face core technology is based on when the technical problems to be solved by the invention, it then follows public security industrial application of information technology standard
Specification relies on the multinomial technologies such as comprehensive reliable communication network, distributed data base and PC cluster, fully considers system safety
Property, reliability, scalability, can be widely applied to the face alignment integrated application platform of public safety various functional areas, can have
The identification to lawless people is assisted to effect, arrests and deploys to ensure effective monitoring and control of illegal activities, protects national security and social stability.
The present invention is achieved through the following technical solutions:
The flow and method of dynamic crowd face identification system, including real-time video face alignment, image retrieval face alignment；
Real-time video face alignment by the live video stream of common high-definition network camera or the face picture stream of face snap unit,
Can by under recognition of face server dynamic portrait algorithm carry out the extraction of face characteristic data, and in real time with the people in blacklist library
Face property data base carries out traversal comparison, and each comparison result of feedback platform；Image retrieval face alignment passes through platform client
The face picture or video recording that need to be retrieved are submitted in end, and recognition of face server extracts face picture characteristic, with face snap library
Or the face characteristic data in face registration library carry out traversal comparison, finally show comparison result by platform.
Further, face recognition algorithms use deep learning algorithm neural network based, construct dynamic Identification of Images
Service, 1:1,1:n, n:N recognition of face service.
Further, portrait big data system includes portrait database, facial image and algorithm characteristics data storage system
System.
Compared with prior art, the present invention having the following advantages and benefits:
1, the flow and method of dynamic crowd face identification system of the present invention is based on recognition of face core technology, it then follows public security
Industrial application of information technology standard criterion is relied on the multinomial technologies such as comprehensive reliable communication network, distributed data base and PC cluster, is filled
Divide and consider security of system, reliability, scalability, the face alignment that can be widely applied to public safety various functional areas is comprehensive
Application platform can effectively assist the identification to lawless people, arrest and deploy to ensure effective monitoring and control of illegal activities, and protect national security and social stability.
Specific embodiment
To make the objectives, technical solutions, and advantages of the present invention clearer, below with reference to embodiment, the present invention is made
Further to be described in detail, exemplary embodiment of the invention and its explanation for explaining only the invention, are not intended as to this
The restriction of invention.
Embodiment
The flow and method of dynamic crowd face identification system of the present invention, including real-time video face alignment, image retrieval people
Face compares；Real-time video face alignment passes through the live video stream of common high-definition network camera or the face of face snap unit
Picture stream can carry out the extraction of face characteristic data by the dynamic portrait algorithm under recognition of face server, and in real time and blacklist
Facial feature database in library carries out traversal comparison, and each comparison result of feedback platform；Image retrieval face alignment passes through
Platform client submits the face picture or video recording that need to be retrieved, and recognition of face server extracts face picture characteristic, with people
The face characteristic data that face is captured in library or face registration library carry out traversal comparison, finally show comparison result by platform；Face
Recognizer uses deep learning algorithm neural network based, and building dynamic Identification of Images service, 1:1,1:n, n:N face are known
It does not service；Portrait big data system includes portrait database, facial image and algorithm characteristics data-storage system.When implementation
Face identification system is disposed in public security video private network, front-end camera is installed to positions such as entrance, emphasis roads, and pass through people
Face identifying system platform is managed collectively.Recognition of face server cluster is forwarded to video flowing by recognition of face platform
In, it carries out feature extraction and identification compares, and feedback result is into recognition of face platform.Recognition of face platform is by related face report
Alert and historical record is shared under public security private network by gateway, and public security can carry out subsequent target retrieval to great suspected target,
Target trajectory tracking, and according to target haunt when and where arrange police strength deployment.
Above-described specific embodiment has carried out further the purpose of the present invention, technical scheme and beneficial effects
It is described in detail, it should be understood that being not intended to limit the present invention the foregoing is merely a specific embodiment of the invention
Protection scope, all within the spirits and principles of the present invention, any modification, equivalent substitution, improvement and etc. done should all include
Within protection scope of the present invention.
Claims (3)
1. the flow and method of dynamic crowd face identification system, which is characterized in that including real-time video face alignment, image retrieval
Face alignment；Real-time video face alignment passes through the live video stream of common high-definition network camera or the people of face snap unit
Face picture stream, can by under recognition of face server dynamic portrait algorithm carry out the extraction of face characteristic data, and in real time with black name
Facial feature database in single library carries out traversal comparison, and each comparison result of feedback platform；Image retrieval face alignment is logical
It crosses platform client and submits the face picture or video recording that need to be retrieved, recognition of face server extracts face picture characteristic, with
Face characteristic data in face snap library or face registration library carry out traversal comparison, finally show comparison result by platform.
2. the flow and method of dynamic crowd face identification system according to claim 1, which is characterized in that the face is known
Other algorithm uses deep learning algorithm neural network based, constructs the service of dynamic Identification of Images, 1:1,1:n, n:N recognition of face
Service.
3. the flow and method of dynamic crowd face identification system according to claim 1, which is characterized in that the portrait is big
Data system includes portrait database, facial image and algorithm characteristics data-storage system.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810486623.2A CN110516499A (en) | 2018-05-21 | 2018-05-21 | The flow and method of dynamic crowd face identification system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810486623.2A CN110516499A (en) | 2018-05-21 | 2018-05-21 | The flow and method of dynamic crowd face identification system |
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| Publication Number | Publication Date |
|---|---|
| CN110516499A true CN110516499A (en) | 2019-11-29 |
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ID=68621485
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201810486623.2A Withdrawn CN110516499A (en) | 2018-05-21 | 2018-05-21 | The flow and method of dynamic crowd face identification system |
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| Country | Link |
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| CN (1) | CN110516499A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112241684A (en) * | 2020-09-16 | 2021-01-19 | 四川天翼网络服务有限公司 | Face retrieval distributed computing method and system |
-
2018
- 2018-05-21 CN CN201810486623.2A patent/CN110516499A/en not_active Withdrawn
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112241684A (en) * | 2020-09-16 | 2021-01-19 | 四川天翼网络服务有限公司 | Face retrieval distributed computing method and system |
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| PB01 | Publication | ||
| PB01 | Publication | ||
| WW01 | Invention patent application withdrawn after publication |
Application publication date: 20191129 |
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| WW01 | Invention patent application withdrawn after publication |