CN107862308A - A kind of face identification method based on vehicle-mounted face identification device - Google Patents

A kind of face identification method based on vehicle-mounted face identification device Download PDF

Info

Publication number
CN107862308A
CN107862308A CN201711317644.3A CN201711317644A CN107862308A CN 107862308 A CN107862308 A CN 107862308A CN 201711317644 A CN201711317644 A CN 201711317644A CN 107862308 A CN107862308 A CN 107862308A
Authority
CN
China
Prior art keywords
identification
face
data
identification device
human face
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN201711317644.3A
Other languages
Chinese (zh)
Inventor
秦科
张栗粽
段贵多
卢国明
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Chengdu Dianke Haili Technology Co Ltd
Original Assignee
Chengdu Dianke Haili Technology Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Chengdu Dianke Haili Technology Co Ltd filed Critical Chengdu Dianke Haili Technology Co Ltd
Priority to CN201711317644.3A priority Critical patent/CN107862308A/en
Publication of CN107862308A publication Critical patent/CN107862308A/en
Pending legal-status Critical Current

Links

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/16Human faces, e.g. facial parts, sketches or expressions
    • G06V40/161Detection; Localisation; Normalisation
    • G06V40/166Detection; Localisation; Normalisation using acquisition arrangements
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/16Human faces, e.g. facial parts, sketches or expressions
    • G06V40/172Classification, e.g. identification
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/40Spoof detection, e.g. liveness detection
    • G06V40/45Detection of the body part being alive

Abstract

The invention belongs to field of face identification, specially a kind of face identification method based on vehicle-mounted face identification device, a. starts identification device, carries out the preheating and test of camera lens;B. start camera lens and batch identification is carried out to front crowd, identification data is collected and gets up to keep in screening server;C. the vivo identification device started on identification device carries out vivo identification to the human face data obtained in step b, filters out part interference data;D. start the Dynamic Recognition device on identification device, the human face data obtained in step c is further screened, obtain final accurate human face data;E. the data obtained in step d are carried out into contrast with the human face data in face database to match so as to identify accurate human face data.

Description

A kind of face identification method based on vehicle-mounted face identification device
Technical field
The invention belongs to field of face identification, specially a kind of face identification method based on vehicle-mounted face identification device.
Background technology
Recognition of face, it is a kind of biological identification technology that the facial feature information based on people carries out identification.With shooting Machine or camera collection image or video flowing containing face, and automatic detect and track face in the picture, and then to detection The face that arrives carries out a series of correlation techniques of face, generally also referred to as Identification of Images, face recognition.
The research of face identification system is started from the 1960s, with computer technology and optical imagery skill after the eighties The development of art is improved, and actually enters the primary application stage then 90 year later stage, and with the U.S., Germany and Japan Based on technology is realized;The successful key of face identification system is the core algorithm for whether possessing tip, and has recognition result There are practical discrimination and recognition speed;" face identification system " is integrated with artificial intelligence, machine recognition, machine learning, mould A variety of professional techniques such as type theory, expert system, Computer Vision, while theory and the realization of median processing need to be combined, It is the more recent application of living things feature recognition, the realization of its core technology, presents conversion of the weak artificial intelligence to strong artificial intelligence.
Traditional face recognition technology is mainly based upon the recognition of face of visible images, and this is also familiar identification Mode, existing more than 30 years development history.But this mode has the defects of being difficult to overcome, and is especially changed in ambient lighting When, recognition effect can drastically decline, and can not meet the needs of real system.The scheme for solving lighting issues has 3-D view face Identification, and thermal imaging recognition of face.But both technologies are also remote immature, and recognition effect is unsatisfactory.
The a solution developed rapidly is the multiple light courcess face recognition technology based on active near-infrared image.It The influence that light can be overcome to change, have been achieved for the recognition performance of brilliance, the entirety in terms of precision, stability and speed Systematic function exceedes 3-D view recognition of face.This technology was quickly grown at nearly 1 year, face recognition technology is gradually walked To practical.
Recognition of face mode of the prior art is more relatively coarse, error bigger.
The content of the invention
For above-mentioned deficiency of the prior art, the invention provides a kind of face knowledge based on vehicle-mounted face identification device Other method.
A kind of face identification method based on vehicle-mounted face identification device, it is characterised in that identification step is as follows:
A. start identification device, carry out the preheating and test of camera lens;
B. start camera lens and batch identification is carried out to front crowd, identification data is collected and gets up to keep in screening server;
C. the vivo identification device started on identification device carries out vivo identification to the human face data obtained in step b, filters out Part interference data;
D. start the Dynamic Recognition device on identification device, the human face data obtained in step c is further screened, obtained To final accurate human face data;
E. the data obtained in step d are carried out into contrast with the human face data in face database to match so as to identify accurately Human face data.
Test in the step a includes:Camera lens is tested, the identification test of live body device.
The interference data being related in the step c include the human face data that various billboards, display screen etc. include.
The vivo identification device being related in the step c is that infrared ray is by device.
The Dynamic Recognition device being related in the step d is to carry out Dynamic Recognition using sonar radar.
The Dynamic Recognition includes identification motion state, identifies the relative motion position between each organ on face.
The data for the contrast matching being related in the step e include:The relative motion bit of each organ in human face data Put, the mean temperature that face is identified by vivo identification device.
Beneficial effects of the present invention:
1. the invention provides one kind can identify live body, dynamic face identification device, the present apparatus improves recognition of face Efficiency and precision.
2. it is to further provide more detailed human body number present invention introduces vivo identification and Dynamic Recognition step According to, such as:Change, the change of face's organ site of face's body temperature, data support is provided for the research in later Xian Guan fields.
3. the present invention further increasing the level of recognition of face, the probability of misrecognition is reduced, adds identification side The reliability of method, is easy to large-scale promotion.
Embodiment:
Embodiment 1:
A kind of face identification method based on vehicle-mounted face identification device, it is characterised in that identification step is as follows:
A. start identification device, carry out the preheating and test of camera lens;
B. start camera lens and batch identification is carried out to front crowd, identification data is collected and gets up to keep in screening server;
C. the vivo identification device started on identification device carries out vivo identification to the human face data obtained in step b, filters out Part interference data;
D. start the Dynamic Recognition device on identification device, the human face data obtained in step c is further screened, obtained To final accurate human face data;
E. the data obtained in step d are carried out into contrast with the human face data in face database to match so as to identify accurately Human face data.
Embodiment 2:
A kind of face identification method based on vehicle-mounted face identification device, it is characterised in that identification step is as follows:
A. start identification device, carry out the preheating and test of camera lens;
B. start camera lens and batch identification is carried out to front crowd, identification data is collected and gets up to keep in screening server;
C. the vivo identification device started on identification device carries out vivo identification to the human face data obtained in step b, filters out Part interference data;
D. start the Dynamic Recognition device on identification device, the human face data obtained in step c is further screened, obtained To final accurate human face data;
E. the data obtained in step d are carried out into contrast with the human face data in face database to match so as to identify accurately Human face data.
Test in the step a includes:Camera lens is tested, the identification test of live body device.
The interference data being related in the step c include the human face data that various billboards, display screen etc. include.
Embodiment 3:
A kind of face identification method based on vehicle-mounted face identification device, it is characterised in that identification step is as follows:
A. start identification device, carry out the preheating and test of camera lens;
B. start camera lens and batch identification is carried out to front crowd, identification data is collected and gets up to keep in screening server;
C. the vivo identification device started on identification device carries out vivo identification to the human face data obtained in step b, filters out Part interference data;
D. start the Dynamic Recognition device on identification device, the human face data obtained in step c is further screened, obtained To final accurate human face data;
E. the data obtained in step d are carried out into contrast with the human face data in face database to match so as to identify accurately Human face data.
Test in the step a includes:Camera lens is tested, the identification test of live body device.
The interference data being related in the step c include the human face data that various billboards, display screen etc. include.
The vivo identification device being related in the step c is that infrared ray is by device.
Embodiment 4:
A kind of face identification method based on vehicle-mounted face identification device, it is characterised in that identification step is as follows:
A. start identification device, carry out the preheating and test of camera lens;
B. start camera lens and batch identification is carried out to front crowd, identification data is collected and gets up to keep in screening server;
C. the vivo identification device started on identification device carries out vivo identification to the human face data obtained in step b, filters out Part interference data;
D. start the Dynamic Recognition device on identification device, the human face data obtained in step c is further screened, obtained To final accurate human face data;
E. the data obtained in step d are carried out into contrast with the human face data in face database to match so as to identify accurately Human face data.
Test in the step a includes:Camera lens is tested, the identification test of live body device.
The interference data being related in the step c include the human face data that various billboards, display screen etc. include.
The vivo identification device being related in the step c is that infrared ray is by device.
The Dynamic Recognition device being related in the step d is to carry out Dynamic Recognition using sonar radar.
Embodiment 5:
A kind of face identification method based on vehicle-mounted face identification device, it is characterised in that identification step is as follows:
A. start identification device, carry out the preheating and test of camera lens;
B. start camera lens and batch identification is carried out to front crowd, identification data is collected and gets up to keep in screening server;
C. the vivo identification device started on identification device carries out vivo identification to the human face data obtained in step b, filters out Part interference data;
D. start the Dynamic Recognition device on identification device, the human face data obtained in step c is further screened, obtained To final accurate human face data;
E. the data obtained in step d are carried out into contrast with the human face data in face database to match so as to identify accurately Human face data.
Test in the step a includes:Camera lens is tested, the identification test of live body device.
The interference data being related in the step c include the human face data that various billboards, display screen etc. include.
The vivo identification device being related in the step c is that infrared ray is by device.
The Dynamic Recognition device being related in the step d is to carry out Dynamic Recognition using sonar radar.
The Dynamic Recognition includes identification motion state, identifies the relative motion position between each organ on face.
Embodiment 6:
A kind of face identification method based on vehicle-mounted face identification device, it is characterised in that identification step is as follows:
A. start identification device, carry out the preheating and test of camera lens;
B. start camera lens and batch identification is carried out to front crowd, identification data is collected and gets up to keep in screening server;
C. the vivo identification device started on identification device carries out vivo identification to the human face data obtained in step b, filters out Part interference data;
D. start the Dynamic Recognition device on identification device, the human face data obtained in step c is further screened, obtained To final accurate human face data;
E. the data obtained in step d are carried out into contrast with the human face data in face database to match so as to identify accurately Human face data.
Test in the step a includes:Camera lens is tested, the identification test of live body device.
The interference data being related in the step c include the human face data that various billboards, display screen etc. include.
The vivo identification device being related in the step c is that infrared ray is by device.
The Dynamic Recognition device being related in the step d is to carry out Dynamic Recognition using sonar radar.
The Dynamic Recognition includes identification motion state, identifies the relative motion position between each organ on face.
The data for the contrast matching being related in the step e include:The relative motion bit of each organ in human face data Put, the mean temperature that face is identified by vivo identification device.
Beneficial effects of the present invention:
1. the invention provides one kind can identify live body, dynamic face identification device, the present apparatus improves recognition of face Efficiency and precision.
2. it is to further provide more detailed human body number present invention introduces vivo identification and Dynamic Recognition step According to, such as:Change, the change of face's organ site of face's body temperature, data support is provided for the research in later Xian Guan fields.
3. the present invention further increasing the level of recognition of face, the probability of misrecognition is reduced, adds identification side The reliability of method, is easy to large-scale promotion.

Claims (7)

1. a kind of face identification method based on vehicle-mounted face identification device, it is characterised in that identification step is as follows:
A. start identification device, carry out the preheating and test of camera lens;
B. start camera lens and batch identification is carried out to front crowd, identification data is collected and gets up to keep in screening server;
C. the vivo identification device started on identification device carries out vivo identification to the human face data obtained in step b, filters out Part interference data;
D. start the Dynamic Recognition device on identification device, the human face data obtained in step c is further screened, obtained To final accurate human face data;
E. the data obtained in step d are carried out into contrast with the human face data in face database to match so as to identify accurately Human face data.
A kind of 2. face identification method based on vehicle-mounted face identification device according to claim 1, it is characterised in that:It is described Test in step a includes:Camera lens is tested, the identification test of live body device.
A kind of 3. face identification method based on vehicle-mounted face identification device according to claim 1, it is characterised in that:It is described The interference data being related in step c include the human face data that various billboards, display screen etc. include.
A kind of 4. face identification method based on vehicle-mounted face identification device according to claim 1, it is characterised in that:It is described The vivo identification device being related in step c is that infrared ray is by device.
A kind of 5. face identification method based on vehicle-mounted face identification device according to claim 1, it is characterised in that:It is described The Dynamic Recognition device being related in step d is to carry out Dynamic Recognition using sonar radar.
A kind of 6. face identification method based on vehicle-mounted face identification device according to claim 5, it is characterised in that:It is described Dynamic Recognition includes identification motion state, identifies the relative motion position between each organ on face.
A kind of 7. face identification method based on vehicle-mounted face identification device according to claim 1, it is characterised in that:It is described The data for the contrast matching being related in step e include:The relative movement position of each organ, face pass through work in human face data The mean temperature that body identification device identifies.
CN201711317644.3A 2017-12-12 2017-12-12 A kind of face identification method based on vehicle-mounted face identification device Pending CN107862308A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201711317644.3A CN107862308A (en) 2017-12-12 2017-12-12 A kind of face identification method based on vehicle-mounted face identification device

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201711317644.3A CN107862308A (en) 2017-12-12 2017-12-12 A kind of face identification method based on vehicle-mounted face identification device

Publications (1)

Publication Number Publication Date
CN107862308A true CN107862308A (en) 2018-03-30

Family

ID=61705945

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201711317644.3A Pending CN107862308A (en) 2017-12-12 2017-12-12 A kind of face identification method based on vehicle-mounted face identification device

Country Status (1)

Country Link
CN (1) CN107862308A (en)

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20060036967A1 (en) * 2004-04-26 2006-02-16 Crichlow Henry B Remote meter reading using transmitted visual graphics.
CN102799872A (en) * 2012-07-17 2012-11-28 西安交通大学 Image processing method based on face image characteristics
CN103544738A (en) * 2013-11-13 2014-01-29 胡江莉 Attendance system for company
CN103593654A (en) * 2013-11-13 2014-02-19 智慧城市系统服务(中国)有限公司 Method and device for face location
CN105138996A (en) * 2015-09-01 2015-12-09 北京上古视觉科技有限公司 Iris identification system with living body detecting function

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20060036967A1 (en) * 2004-04-26 2006-02-16 Crichlow Henry B Remote meter reading using transmitted visual graphics.
CN102799872A (en) * 2012-07-17 2012-11-28 西安交通大学 Image processing method based on face image characteristics
CN103544738A (en) * 2013-11-13 2014-01-29 胡江莉 Attendance system for company
CN103593654A (en) * 2013-11-13 2014-02-19 智慧城市系统服务(中国)有限公司 Method and device for face location
CN105138996A (en) * 2015-09-01 2015-12-09 北京上古视觉科技有限公司 Iris identification system with living body detecting function

Similar Documents

Publication Publication Date Title
CN105955465A (en) Desktop portable sight line tracking method and apparatus
WO2019127273A1 (en) Multi-person face detection method, apparatus, server, system, and storage medium
CN109192302A (en) A kind of face's multi-modality images acquisition processing device and method
CN110458025B (en) Target identification and positioning method based on binocular camera
CN107609475B (en) Pedestrian detection false detection extraction method based on light field camera
Liu et al. IR2VI: enhanced night environmental perception by unsupervised thermal image translation
CN109753904A (en) A kind of face identification method and system
WO2021217764A1 (en) Human face liveness detection method based on polarization imaging
CN107862240A (en) A kind of face tracking methods of multi-cam collaboration
CN107038400A (en) Face identification device and method and utilize its target person tracks of device and method
CN109409250A (en) A kind of across the video camera pedestrian of no overlap ken recognition methods again based on deep learning
CN106845449A (en) A kind of image processing apparatus, method and face identification system
CN108765014A (en) A kind of intelligent advertisement put-on method based on access control system
CN109508755A (en) A kind of Psychological Evaluation method based on image cognition
CN110688955A (en) Building construction target detection method based on YOLO neural network
Alrifaee A short survey of iris images databases
CN115147936A (en) Living body detection method, electronic device, storage medium, and program product
CN107862308A (en) A kind of face identification method based on vehicle-mounted face identification device
CN116740539A (en) Visual SLAM method and system based on lightweight target detection network
CN112115838A (en) Thermal infrared image spectrum fusion human face classification method
CN116682140A (en) Three-dimensional human body posture estimation algorithm based on attention mechanism multi-mode fusion
CN109492513B (en) Face space duplication eliminating method for light field monitoring
CN107977640A (en) A kind of acquisition method based on vehicle-mounted recognition of face image collecting device
CN106683064B (en) A kind of multi-focus image fusing method based on two dimension coupling convolution
CN109862263A (en) A kind of mobile Automatic Target Tracking method based on the identification of image multi-dimensional feature

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
WD01 Invention patent application deemed withdrawn after publication

Application publication date: 20180330

WD01 Invention patent application deemed withdrawn after publication