CN106203379A - A kind of human body recognition system for security protection - Google Patents
A kind of human body recognition system for security protection Download PDFInfo
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- CN106203379A CN106203379A CN201610573843.XA CN201610573843A CN106203379A CN 106203379 A CN106203379 A CN 106203379A CN 201610573843 A CN201610573843 A CN 201610573843A CN 106203379 A CN106203379 A CN 106203379A
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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
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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
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/70—Arrangements for image or video recognition or understanding using pattern recognition or machine learning
- G06V10/74—Image or video pattern matching; Proximity measures in feature spaces
- G06V10/75—Organisation of the matching processes, e.g. simultaneous or sequential comparisons of image or video features; Coarse-fine approaches, e.g. multi-scale approaches; using context analysis; Selection of dictionaries
- G06V10/752—Contour matching
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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
- G06V40/171—Local features and components; Facial parts ; Occluding parts, e.g. glasses; Geometrical relationships
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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
- G06V40/20—Movements or behaviour, e.g. gesture recognition
- G06V40/23—Recognition of whole body movements, e.g. for sport training
- G06V40/25—Recognition of walking or running movements, e.g. gait recognition
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- Oral & Maxillofacial Surgery (AREA)
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- Collating Specific Patterns (AREA)
Abstract
The invention provides a kind of human body recognition system for security protection, it includes image acquisition units, image analyzing unit and control unit；Image acquisition units is for gathering facial characteristics and the walking characteristics of human body, and is stored in image analyzing unit；The real-time facial feature of the human body that Real-time Collection is arrived by image acquisition units and real-time walking characteristics transmission extremely described image analyzing unit, the facial feature data of the real-time facial feature collected with the preservation in described image analyzing unit is carried out comparison one by one by described image analyzing unit, obtain the facial characteristics of matching degree more than 80%, and walking characteristics corresponding for the facial characteristics of coupling is compared with real-time walking characteristics, if consistent, by checking.The present invention provide the human body recognition system for security protection by facial characteristics is verified with walking characteristics, it is judged that accuracy higher, the facial characteristics of human body is periodically updated by the present invention with walking characteristics simultaneously, it is ensured that the accuracy of judgement.
Description
Technical field
The present invention relates to technical field of security and protection, a kind of human body recognition system for security protection.
Background technology
Human detection be computer vision field the most popular be also one of the most challenging research direction.It has extensively
Application prospect, such as security, traffic, entertain, monitor and robot field.At existing human body recognition system, the most all include
There are photographic head and complicated background process device, when after camera collection image, then are delivered to background process device and process.And show
The processing procedure of the view data in somebody's body identification system is complex, causes recognition rate slower.
Summary of the invention
For solving above-mentioned technical problem, the invention provides a kind of human body recognition system for security protection, it includes image
Collecting unit, image analyzing unit and control unit；
Described image acquisition units is for gathering facial characteristics and the walking characteristics of human body, and described control unit will collect
Facial characteristics and the walking characteristics of individual human body as the identification information of this individuality, and be stored in image analyzing unit；
Described image acquisition units by Real-time Collection to real-time facial feature and the real-time walking characteristics of human body and send
To described image analyzing unit, described image analyzing unit is by the real-time facial feature collected and described image analyzing unit
The facial feature data of preservation carry out comparison one by one, obtain the facial characteristics of matching degree more than 80%, and will the face of coupling
Walking characteristics corresponding to portion's feature is compared with real-time walking characteristics, if consistent, by checking.
It is preferred that the facial characteristics of described individuality is periodically updated by described control unit with walking characteristics.
It is preferred that described facial feature data includes the profile of face, the profile of the face that described Real-time Collection arrives is respectively
Contrast respectively with the face profile in described image analyzing unit, when in described face profile more than four with described graphical analysis
When face profile in unit is consistent, then matching degree is more than 80%.
It is preferred that described walking characteristics includes walking paces frequency and the paces amplitude of human body, if the row that Real-time Collection arrives
Walk paces frequency and paces amplitude with when in described image analyzing unit, the walking paces frequency of storage is consistent with paces amplitude, then
By checking.
The method have the advantages that
The human body recognition system for security protection that the present invention provides, by verifying facial characteristics with walking characteristics, is sentenced
Disconnected accuracy is higher, and the facial characteristics of human body is periodically updated by the present invention with walking characteristics simultaneously, to people
Can being updated in time during change occur in the facial characteristics of body, walking characteristics, it is ensured that the accuracy of judgement.
Certainly, the arbitrary product implementing the present invention it is not absolutely required to reach all the above advantage simultaneously.
Accompanying drawing explanation
In order to be illustrated more clearly that the technical scheme of the embodiment of the present invention, embodiment will be described required use below
Accompanying drawing is briefly described, it should be apparent that, the accompanying drawing in describing below is only some embodiments of the present invention, for ability
From the point of view of the those of ordinary skill of territory, on the premise of not paying creative work, it is also possible to obtain the attached of other according to these accompanying drawings
Figure.
The human body recognition system structural representation for security protection that Fig. 1 provides for the embodiment of the present invention.
Detailed description of the invention
Below in conjunction with the accompanying drawing in the embodiment of the present invention, the technical scheme in the embodiment of the present invention is carried out clear, complete
Describe, it is clear that described embodiment is only a part of embodiment of the present invention rather than whole embodiments wholely.Based on
Embodiment in the present invention, those of ordinary skill in the art obtained under not making creative work premise all other
Embodiment, broadly falls into the scope of protection of the invention.
As it is shown in figure 1, embodiments provide a kind of human body recognition system for security protection, it includes image acquisition
Unit 1, image analyzing unit 3 and control unit 2；
Described image acquisition units 1 is for gathering facial characteristics and the walking characteristics of human body, and described control unit 2 will gather
The facial characteristics of the individual human body arrived and walking characteristics are as the identification information of this individuality, and are stored in image analyzing unit 3；
Described image acquisition units 1 by Real-time Collection to real-time facial feature and the real-time walking characteristics of human body and send
To described image analyzing unit 3, described image analyzing unit 3 is by the real-time facial feature collected and described image analyzing unit
The facial feature data of the preservation in 3 carries out comparison one by one, obtains the facial characteristics of matching degree more than 80%, and by coupling
The walking characteristics that facial characteristics is corresponding is compared with real-time walking characteristics, if consistent, by checking.
The facial characteristics of described individuality is periodically carried out by the described control unit 2 that the embodiment of the present invention provides with walking characteristics
Update.
Wherein said facial feature data includes the profile of face, the profile of the face that described Real-time Collection arrives respectively with institute
The face profile stated in image analyzing unit contrasts respectively, when in described face profile more than four with described image analyzing unit
In face profile consistent time, then matching degree is more than 80%.
Described walking characteristics includes walking paces frequency and the paces amplitude of human body, if the walking paces frequency that Real-time Collection arrives
Rate, with when in described image analyzing unit, the walking paces frequency of storage is consistent with paces amplitude then is passed through to test with paces amplitude
Card.
The human body recognition system for security protection that the present invention provides, by verifying facial characteristics with walking characteristics, is sentenced
Disconnected accuracy is higher, and the facial characteristics of human body is periodically updated by the present invention with walking characteristics simultaneously, to people
Can being updated in time during change occur in the facial characteristics of body, walking characteristics, it is ensured that the accuracy of judgement.
Present invention disclosed above preferred embodiment is only intended to help to illustrate the present invention.Preferred embodiment is the most detailed
Describe all of details, be also not intended to the detailed description of the invention that this invention is only described.Obviously, according to the content of this specification,
Can make many modifications and variations.These embodiments are chosen and specifically described to this specification, is to preferably explain the present invention
Principle and actual application so that skilled artisan can be best understood by and utilize the present invention.The present invention is only
Limited by claims and four corner thereof and equivalent.
Claims (4)
1. the human body recognition system for security protection, it is characterised in that include image acquisition units, image analyzing unit and
Control unit；
Described image acquisition units is for gathering facial characteristics and the walking characteristics of human body, and described control unit is individual by collect
The facial characteristics of the human body of body and walking characteristics are as the identification information of this individuality, and are stored in image analyzing unit；
Described image acquisition units by Real-time Collection to real-time facial feature and the real-time walking characteristics of human body and send to institute
Stating image analyzing unit, described image analyzing unit is by the real-time facial feature collected and the guarantor in described image analyzing unit
The facial feature data deposited carries out comparison one by one, obtains the facial characteristics of matching degree more than 80%, and by special for the face of coupling
The walking characteristics levying correspondence is compared with real-time walking characteristics, if consistent, by checking.
2. the human body recognition system for security protection as claimed in claim 1, it is characterised in that described control unit is periodically to institute
The facial characteristics stating individuality is updated with walking characteristics.
3. the human body recognition system for security protection as claimed in claim 1, it is characterised in that described facial feature data includes
The profile of face, described Real-time Collection to the profile of face the most right with the face profile in described image analyzing unit respectively
Ratio, when in described face profile consistent with the face profile in described image analyzing unit more than four time, then matching degree exceedes
80%.
4. the human body recognition system for security protection as claimed in claim 1, it is characterised in that described walking characteristics includes human body
Walking paces frequency and paces amplitude, if the walking paces frequency that arrives of Real-time Collection and paces amplitude and described graphical analysis list
When in unit, the walking paces frequency of storage is consistent with paces amplitude, then by checking.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610573843.XA CN106203379A (en) | 2016-07-20 | 2016-07-20 | A kind of human body recognition system for security protection |
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| Application Number | Priority Date | Filing Date | Title |
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| CN201610573843.XA CN106203379A (en) | 2016-07-20 | 2016-07-20 | A kind of human body recognition system for security protection |
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| CN106203379A true CN106203379A (en) | 2016-12-07 |
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Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1426020A (en) * | 2001-12-13 | 2003-06-25 | 中国科学院自动化研究所 | Far distance identity identifying method based on walk |
| US20070211938A1 (en) * | 2006-03-09 | 2007-09-13 | General Electric Company | Method and system for performing image re-identification |
| CN101216885A (en) * | 2008-01-04 | 2008-07-09 | 中山大学 | Passerby face detection and tracing algorithm based on video |
| CN103824064A (en) * | 2014-03-11 | 2014-05-28 | 深圳市中安视科技有限公司 | Huge-amount human face discovering and recognizing method |
| CN103886341A (en) * | 2014-03-19 | 2014-06-25 | 国家电网公司 | Gait behavior recognition method based on feature combination |
| CN103942577A (en) * | 2014-04-29 | 2014-07-23 | 上海复控华龙微系统技术有限公司 | Identity identification method based on self-established sample library and composite characters in video monitoring |
| CN104166844A (en) * | 2014-08-13 | 2014-11-26 | 惠州Tcl移动通信有限公司 | Login method and system through human face identification based on mobile terminal |
-
2016
- 2016-07-20 CN CN201610573843.XA patent/CN106203379A/en active Pending
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1426020A (en) * | 2001-12-13 | 2003-06-25 | 中国科学院自动化研究所 | Far distance identity identifying method based on walk |
| US20070211938A1 (en) * | 2006-03-09 | 2007-09-13 | General Electric Company | Method and system for performing image re-identification |
| CN101216885A (en) * | 2008-01-04 | 2008-07-09 | 中山大学 | Passerby face detection and tracing algorithm based on video |
| CN103824064A (en) * | 2014-03-11 | 2014-05-28 | 深圳市中安视科技有限公司 | Huge-amount human face discovering and recognizing method |
| CN103886341A (en) * | 2014-03-19 | 2014-06-25 | 国家电网公司 | Gait behavior recognition method based on feature combination |
| CN103942577A (en) * | 2014-04-29 | 2014-07-23 | 上海复控华龙微系统技术有限公司 | Identity identification method based on self-established sample library and composite characters in video monitoring |
| CN104166844A (en) * | 2014-08-13 | 2014-11-26 | 惠州Tcl移动通信有限公司 | Login method and system through human face identification based on mobile terminal |
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Application publication date: 20161207 |