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 PDFInfo
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- 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
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- identification
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- human face
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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
- G06V40/172—Classification, e.g. identification
-
- 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
- G06V40/40—Spoof detection, e.g. liveness detection
- G06V40/45—Detection 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
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.
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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 |
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Patent Citations (5)
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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 |
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