CN109215806A - A kind of public place health monitoring systems and method based on recognition of face - Google Patents
A kind of public place health monitoring systems and method based on recognition of face Download PDFInfo
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- CN109215806A CN109215806A CN201811282730.XA CN201811282730A CN109215806A CN 109215806 A CN109215806 A CN 109215806A CN 201811282730 A CN201811282730 A CN 201811282730A CN 109215806 A CN109215806 A CN 109215806A
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- face
- infrared radiation
- camera
- radiation thermometer
- temperature
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H80/00—ICT specially adapted for facilitating communication between medical practitioners or patients, e.g. for collaborative diagnosis, therapy or health monitoring
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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
Abstract
The present invention relates to a kind of public place health monitoring systems and method based on recognition of face, including multiple infrared radiation thermometers, for detecting the body temperature of personnel in public place;Multiple cameras, the camera and the infrared radiation thermometer correspond, and each camera is set to the side of corresponding infrared radiation thermometer, and the camera is used to acquire the image of personnel in public place;Controller, the controller is used to acquire the photograph image of the camera shooting and the measurement data of the infrared radiation thermometer, and the controller includes: face characteristic library, camera communication module, infrared radiation thermometer communication module, image processing module, personal management module, temperature management module and alarm signal generation module.The present invention is in real time monitored the body temperature of the personnel in public place, and the alarm signal comprising personnel location information is generated when detecting high temperature, facilitates staff to sick personnel positioning.
Description
Technical field
The present invention relates to technical field of data processing, in particular to a kind of public place health monitorings based on recognition of face
System and method.
Background technique
Public place is the place of densely populated place, and the case where be easy to appear cross-infection.Therefore, how to public field
Carried out health monitoring becomes a critically important problem.In the prior art, the inlet of general public place can be provided with body
Temperature measurement equipment carries out measurement of bldy temperature to the personnel of each entrance into public place.However, when using this kind of method, only
Energy collector enters physical condition when public place, and the state after can not personnel be entered with public place is monitored.
Summary of the invention
The present invention provides a kind of public place health monitoring systems and method based on recognition of face, its object is to gram
Defect in the prior art is taken, the body temperature of the personnel in public place is monitored in real time, and is raw when detecting high temperature
At the alarm signal comprising personnel location information, facilitate staff to sick personnel positioning.
To achieve the goals above, the present invention has following constitute:
The public place health monitoring systems based on recognition of face, comprising:
Multiple infrared radiation thermometers, for detecting the body temperature of personnel in public place;
Multiple cameras, the camera and the infrared radiation thermometer correspond, and each camera is set to pair
The side for the infrared radiation thermometer answered, the camera are used to acquire the image of personnel in public place;
Controller, the controller are used to acquire the survey of the photograph image and the infrared radiation thermometer of the camera shooting
Data are measured, and the controller includes:
Face characteristic library, for saving the mapping relations of face characteristic and face characteristic and person number;
Camera communication module for acquiring the photograph image of the camera shooting, and sends to the camera and turns
Dynamic instruction;
Infrared radiation thermometer communication module, for acquiring the temperature measurement data of the infrared radiation thermometer, and to the infrared measurement of temperature
Instrument sends rotation temperature measuring head instruction;
Image processing module extracts human face region image, identifies people for handling the photograph image of the camera shooting
Face feature;
Personal management module, for judging whether the face characteristic that image processing module is analyzed has been stored in face spy
It levies in library, if it is, personnel query is numbered, if it does not exist, then the new person number of distribution, and by person number and face
Characteristic storage is into face characteristic library;
Temperature management module, for closing infrared radiation thermometer and corresponding camera in the data that same position acquires
Connection, using the temperature measurement data of infrared radiation thermometer as camera the personnel corresponding to face characteristic in the image that same position acquires
The temperature data of number;
Alarm signal generation module, for judging whether the temperature measurement data of infrared radiation thermometer measurement is greater than preset temperature threshold
Value, if it is, generating alarm signal, the alarm signal includes the measurement data of infrared radiation thermometer measurement, measurement data pair
The current position of personnel corresponding to the number of the person number, infrared radiation thermometer that answer and person number.
Optionally, the camera can rotate between the first position and the second position, the thermometric of the infrared radiation thermometer
Head can rotate between the third place and the 4th position, and the temperature measuring head of the infrared radiation thermometer is in the third place, thermometric side
To at first position, shooting direction is consistent with the camera, the temperature measuring head of the infrared radiation thermometer at four positions,
The shooting direction at four positions is consistent with the camera in thermometric direction;
The camera communication module sends rotation command to the camera, controls the camera every preset time
The second position is turned to from first position in period, and is back to first position from the second position, was rotated in the camera
Cheng Zhong, the camera shoot photograph image every default collection period;
The infrared radiation thermometer communication module sends rotation temperature measuring head instruction to the infrared radiation thermometer, controls described infrared
The temperature measuring head of temperature measurer is back to from the 4th position every turning to the 4th position from the third place in preset period of time
Three positions, after the camera shoots photograph image, and described image processing module recognizes face area in photograph image
When domain, the temperature measuring head temperature collection data of the infrared radiation thermometer.
Optionally, the photo figure that described image processing module is shot based on trained Adaboost classifier in camera
Human face region image is detected as in.
Optionally, the face characteristic includes the three front yard percent informations, five percent informations, facial average gray value of face
With hair average gray value.
Optionally, described image processing module identifies three front yard ratios of face using following steps in human face region image
Information and five percent informations:
Using trained active shape model, point in human face region image, hairline point, the right side on the outside of left eye are detected
Eye outside hairline point, subnasal point, eyebrow tail point, the left eye tail of the eye, left eye inner eye corner, right eye inner eye corner and the right eye tail of the eye;
Using trained active shape model, the center of top hairline point in human face region image is detected;
Face altitude range is determined according to the spacing between center of top hairline point and point;
Face width range is determined according to the spacing between hairline point on the outside of hairline point on the outside of left eye and right eye;
Two cut-points by subnasal point and eyebrow tail o'clock as three front yards, according to the two of three front yards cut-points and face height
The percent information in three front yard of range computation;
Using the left eye tail of the eye, left eye inner eye corner, right eye inner eye corner and the right eye tail of the eye as five four cut-points, root
Five percent informations are calculated according to five four cut-points and face width range.
Optionally, described image processing module calculates facial average gray value using following steps in human face region image
With hair average gray value:
It is using human face region image more than center of top hairline point as hair zones, center of top hairline point is below
Human face region image is as facial area;
The gray value for obtaining each pixel in facial area respectively, calculates the gray value of each pixel in facial area
Average value, as facial average gray value;
The gray value for obtaining each pixel in hair zones respectively, calculates the gray value of each pixel in hair zones
Average value, as hair average gray value.
Optionally, the personal management module judges the face characteristic that image processing module is analyzed using following steps
Whether it has been stored in face characteristic library:
Three front yards for whether thering is the percent information in three front yards and analysis to obtain in the personal management module inquiry face feature database
The difference of percent information be respectively less than the face characteristic of the first preset threshold;
If it is, the personal management module judges five percent informations of the face characteristic in the face feature database
Whether the difference of five percent informations obtained with analysis is respectively less than the second preset threshold;
If it is, the personal management module judges the facial average gray value of the face characteristic in the face feature database
Whether the difference of the facial average gray value obtained with analysis is less than third predetermined threshold value, and the face in the face feature database is special
Whether the difference for the hair average gray value that the hair average gray value of sign and analysis obtain is less than the 4th preset threshold;
If it is, determining that the face characteristic of the face feature database is the consistent face spy of face characteristic obtained with analysis
Sign.
Optionally, the alarm signal generation module judges that the temperature measurement data of infrared radiation thermometer measurement is greater than preset temperature threshold
After value, alarm signal is generated using following steps:
The alarm signal generation module judges whether same person number is another greater than preset temperature threshold there is also having
First temperature measurement data, and formerly temperature measurement data time of measuring and the time of measuring of this temperature measurement data judged difference it is small
In 2 hours;
If it is, the alarm signal generation module generates alarm signal.
Optionally, it is provided in the public place multiple with place marker known to different shape and place, institute
It states image processing module and is also used to identify that the place in the photograph image of the camera shooting indicates using active shape model
Object determines the position of personnel according to the position of the place marker nearest apart from human face region.
The embodiment of the present invention also provides a kind of public place health monitor method based on recognition of face, using the base
In the public place health monitoring systems of recognition of face, described method includes following steps:
Acquire the photograph image of the camera shooting;
Acquire the temperature measurement data of the infrared radiation thermometer;
The photograph image for handling the camera shooting, extracts human face region image, identifies face characteristic;
Judge whether the face characteristic that image processing module is analyzed has been stored in face characteristic library, if it is,
Personnel query number, if it does not exist, then the person number that distribution is new, and person number and face characteristic storage is special to face
It levies in library;
Infrared radiation thermometer and corresponding camera are associated in the data that same position acquires, by infrared radiation thermometer
Temperature data of the temperature measurement data as camera person number corresponding to face characteristic in the image that same position acquires;
Judge whether the temperature measurement data of infrared radiation thermometer measurement is greater than preset temperature threshold, if it is, generating alarm signal
Number, the alarm signal includes the measurement data of infrared radiation thermometer measurement, the corresponding person number of measurement data, infrared radiation thermometer
Number and person number corresponding to the current position of personnel.
Using the public place health monitoring systems and method based on recognition of face in the invention, have following beneficial
Effect:
The present invention is in real time monitored the body temperature of the personnel in public place, and generates when detecting high temperature and include
The alarm signal of personnel location information facilitates staff to sick personnel positioning, when being identified to personnel, in order to avoid
It judges by accident, only as the same personnel, when 2 is small, the interior excessively high body temperature detected more than twice just generates alarm signal, and
And the location information of personnel can be further determined by the place marker for the known location being arranged in public place;This hair
It is bright to can be applied to such as railway station, market, working hall public place, realize the health monitoring to personnel in public place.
Detailed description of the invention
Fig. 1 is the structural schematic diagram of the public place health monitoring systems based on recognition of face of one embodiment of the invention;
Fig. 2 is the flow chart of the public place health monitor method based on recognition of face of one embodiment of the invention;
Fig. 3 is the schematic diagram of the three front yard percent information of calculating of one embodiment of the invention;
Fig. 4 is the schematic diagram of five percent informations of calculating of one embodiment of the invention.
Specific embodiment
It is further to carry out combined with specific embodiments below in order to more clearly describe technology contents of the invention
Description.
Public place health monitoring systems based on recognition of face as shown in Figure 1, comprising:
Multiple infrared radiation thermometers, for detecting the body temperature of personnel in public place;
Multiple cameras, the camera and the infrared radiation thermometer correspond, and each camera is set to pair
The side for the infrared radiation thermometer answered, the camera are used to acquire the image of personnel in public place;
Wherein, the infrared radiation thermometer and camera can be separately mounted to public place four angle points and important position
Set a little, when bigger in public places, can every side in public places multipair infrared radiation thermometer and camera are installed.Infrared survey
Wen Yi and camera need mounted in pairs, and guarantee infrared radiation thermometer temperature measuring head and corresponding camera rotation angle it is total
It is consistent, the temperature data for the personnel that camera takes is determined so as to the temperature measurement data according to infrared radiation thermometer.
Controller, the controller are used to acquire the survey of the photograph image and the infrared radiation thermometer of the camera shooting
Data are measured, and the controller includes:
Face characteristic library, for saving the mapping relations of face characteristic and face characteristic and person number, personnel herein
Number is that this is interim come what is carried out in order to distinguish each different personnel based on the public place health monitoring systems of recognition of face
Number, and the data before it can empty for 24 hours, record one day new data again;
Camera communication module for acquiring the photograph image of the camera shooting, and sends to the camera and turns
Dynamic instruction;
Infrared radiation thermometer communication module, for acquiring the temperature measurement data of the infrared radiation thermometer, and to the infrared measurement of temperature
Instrument, which is sent, rotates temperature measuring head instruction, in the temperature measuring head rotation of infrared radiation thermometer, needs to guarantee turn with corresponding camera
Dynamic angle is consistent;
Image processing module extracts human face region image, identifies people for handling the photograph image of the camera shooting
Face feature, face characteristic divide personnel identity and are identified for comparing with the face characteristic in face characteristic library;
Personal management module, for judging whether the face characteristic that image processing module is analyzed has been stored in face spy
It levies in library, if it is, personnel query is numbered, if it does not exist, then explanation is the personnel newly detected, distributes new personnel and compile
Number, and by person number and face characteristic storage into face characteristic library;
Temperature management module, for closing infrared radiation thermometer and corresponding camera in the data that same position acquires
Connection, using the temperature measurement data of infrared radiation thermometer as camera the personnel corresponding to face characteristic in the image that same position acquires
The temperature data of number;Therefore, temperature management module record has each moment, and the personnel for the personnel that every group of camera takes compile
Number and corresponding infrared radiation thermometer temperature measurement data;
Alarm signal generation module, for judging whether the temperature measurement data of infrared radiation thermometer measurement is greater than preset temperature threshold
Value, if it is, generating alarm signal, the alarm signal includes the measurement data of infrared radiation thermometer measurement, measurement data pair
The current position of personnel corresponding to the number of the person number, infrared radiation thermometer that answer and person number.Preset temperature threshold herein
Value, which can choose, waits high temperature for 38 °, conveniently checks whether there is fever personnel.
Therefore, the public place health monitoring systems of the invention based on recognition of face identify personnel by camera, lead to
It crosses infrared radiation thermometer to be in real time monitored the body temperature of the personnel in public place, and when detecting high temperature, alarm signal
Generation module generates the alarm signal comprising personnel location information, facilitates staff to sick personnel positioning, to realize
Health monitoring to personnel in public place.
As shown in Fig. 2, the embodiment of the present invention also provides a kind of public place health monitor method based on recognition of face, adopt
With the public place health monitoring systems based on recognition of face, described method includes following steps:
Acquire the photograph image of the camera shooting;
Acquire the temperature measurement data of the infrared radiation thermometer;
The photograph image for handling the camera shooting, extracts human face region image, identifies face characteristic;
Judge whether the face characteristic that image processing module is analyzed has been stored in face characteristic library, if it is,
Personnel query number, if it does not exist, then the person number that distribution is new, and person number and face characteristic storage is special to face
It levies in library;
Infrared radiation thermometer and corresponding camera are associated in the data that same position acquires, by infrared radiation thermometer
Temperature data of the temperature measurement data as camera person number corresponding to face characteristic in the image that same position acquires;
Judge whether the temperature measurement data of infrared radiation thermometer measurement is greater than preset temperature threshold, if it is, generating alarm signal
Number, the alarm signal includes the measurement data of infrared radiation thermometer measurement, the corresponding person number of measurement data, infrared radiation thermometer
Number and person number corresponding to the current position of personnel.
Therefore, the public place health monitor method of the invention based on recognition of face passes through in real time in public place
The body temperature of personnel is monitored, and when detecting high temperature, automatically generates the alarm signal comprising personnel location information, convenient
Staff is to sick personnel positioning, to realize the health monitoring to personnel in public place.
In this embodiment, the camera can rotate between the first position and the second position, the infrared radiation thermometer
Temperature measuring head can be rotated between the third place and the 4th position, the temperature measuring head of the infrared radiation thermometer in the third place,
The shooting direction at first position is consistent with the camera in thermometric direction, and the temperature measuring head of the infrared radiation thermometer is in the 4th position
When, the shooting direction at four positions is consistent with the camera in thermometric direction.I.e. between first position and the second position
Rotational angle is the maximum rotation angle of camera, and the rotational angle between the third place and the 4th position is infrared radiation thermometer
The maximum rotation angle of temperature measuring head, the maximum rotation angle of each group of camera and the temperature measuring head of corresponding infrared radiation thermometer
Maximum rotation angle is consistent.
The camera communication module sends rotation command to the camera, controls the camera every preset time
The second position is turned to from first position in period, and is back to first position from the second position, was rotated in the camera
Cheng Zhong, the camera shoot photograph image every default collection period;
The infrared radiation thermometer communication module sends rotation temperature measuring head instruction to the infrared radiation thermometer, controls described infrared
The temperature measuring head of temperature measurer is back to from the 4th position every turning to the 4th position from the third place in preset period of time
Three positions, after the camera shoots photograph image, and described image processing module recognizes face area in photograph image
When domain, the temperature measuring head temperature collection data of the infrared radiation thermometer.
In this embodiment, described image processing module is shot based on trained Adaboost classifier in camera
Human face region image is detected in photograph image.Human face region is detected in face-image.Adaboost is a kind of alternative manner, core
Thought thinks it is for the different same Weak Classifiers of training set training, then the Weak Classifier obtained on different training sets
It gathers, constitutes a final strong classifier.
In this embodiment, the face characteristic includes that the three front yard percent informations, five percent informations, face of face are average
Sum of the grayscale values hair average gray value.
As shown in Figure 3 and Figure 4, in this embodiment, described image processing module is using following steps in human face region figure
The three front yard percent informations and five percent informations of face are identified as in:
Using trained active shape model, point in human face region image, hairline point, the right side on the outside of left eye are detected
Eye outside hairline point, subnasal point, eyebrow tail point, the left eye tail of the eye, left eye inner eye corner, right eye inner eye corner and the right eye tail of the eye;
Using trained active shape model, the center of top hairline point in human face region image is detected;
Face altitude range is determined according to the spacing between center of top hairline point and point;
Face width range is determined according to the spacing between hairline point on the outside of hairline point on the outside of left eye and right eye;
Two cut-points by subnasal point and eyebrow tail o'clock as three front yards, according to the two of three front yards cut-points and face height
The percent information in three front yard of range computation;Three parts in three front yards are respectively A1, A2 and A3 shown in Fig. 3;The ratio in three front yards is believed
Breath is the height ratio with face altitude range respectively of A1, A2 and A3.
Using the left eye tail of the eye, left eye inner eye corner, right eye inner eye corner and the right eye tail of the eye as five four cut-points, root
Five percent informations are calculated according to five four cut-points and face width range.Five five parts are respectively in Fig. 4
B1, B2, B3, B4 and the B5 shown.Five percent informations are respectively the width and face width range of B1, B2, B3, B4 and B5
Ratio.
Active shape model ASM, i.e. global shape model, are a kind of algorithms based on points distribution models, i.e. shape is similar
Object its geometry can be sequentially connected in series to form a shape vector to identify by the coordinate of several key feature points;?
In practical application, ASM points carry out for training and search two parts, are carried out in the present invention using trained ASM shape
Automatic label and the extraction for stating human face characteristic point, improve the accuracy and recognition efficiency of facial feature points detection.
In this embodiment, described image processing module calculates face averagely using following steps in human face region image
Sum of the grayscale values hair average gray value:
It is using human face region image more than center of top hairline point as hair zones, center of top hairline point is below
Human face region image is as facial area;
The gray value for obtaining each pixel in facial area respectively, calculates the gray value of each pixel in facial area
Average value, as facial average gray value;
The gray value for obtaining each pixel in hair zones respectively, calculates the gray value of each pixel in hair zones
Average value, as hair average gray value.
In this embodiment, the personal management module judges the people that image processing module is analyzed using following steps
Whether face feature has been stored in face characteristic library:
Three front yards for whether thering is the percent information in three front yards and analysis to obtain in the personal management module inquiry face feature database
The difference of percent information be respectively less than the face characteristic of the first preset threshold;
If it is, the personal management module judges five percent informations of the face characteristic in the face feature database
Whether the difference of five percent informations obtained with analysis is respectively less than the second preset threshold;
If it is, the personal management module judges the facial average gray value of the face characteristic in the face feature database
Whether the difference of the facial average gray value obtained with analysis is less than third predetermined threshold value, and the face in the face feature database is special
Whether the difference for the hair average gray value that the hair average gray value of sign and analysis obtain is less than the 4th preset threshold;
If it is, determining that the face characteristic of the face feature database is the consistent face spy of face characteristic obtained with analysis
Sign.
In practice, five, the three front yard ratio, facial gray scale value and the probability ten of the uniform cause of hair gray value of two people
It is point small, different personnel can be distinguished using the characteristic point in terms of these three herein, and due to the quantity of feature
Fewer, quantity amount is also smaller when calculating and comparison, not will cause the very big data processing load of system.It examines simultaneously
The same person is considered in different positions, and different angles, measured characteristic there may be deviation, therefore increase first
Preset threshold, the second preset threshold, third predetermined threshold value and the 4th preset threshold are fault-tolerant to realize.This four preset thresholds can be with
Selection setting is carried out based on experience value.
In this embodiment, it is default to judge that the temperature measurement data of infrared radiation thermometer measurement is greater than for the alarm signal generation module
After temperature threshold, alarm signal is generated using following steps:
The alarm signal generation module judges whether same person number is another greater than preset temperature threshold there is also having
First temperature measurement data, and formerly temperature measurement data time of measuring and the time of measuring of this temperature measurement data judged difference it is small
In 2 hours;
If it is, the alarm signal generation module generates alarm signal.
I.e. within 2 hours, the temperature at least measuring the same person twice is all larger than preset temperature threshold, it is determined that
The personnel are fever personnel, generate alarm signal, prevent from reporting by mistake.Alarm signal can be sent to public place administrative staff or general
The mobile terminal of logical staff, facilitates staff to handle.
In this embodiment, it is provided in the public place multiple with the mark of place known to different shape and place
Object, described image processing module are also used to identify the place in the photograph image of the camera shooting using active shape model
Marker determines the position of personnel according to the position of the place marker nearest apart from human face region.It can establish public place
In three-dimensional system of coordinate using the entrance of public place or an angle point as coordinate origin be z-axis perpendicular to ground, record is each
The coordinate of a place marker, and using the coordinate of the place marker nearest apart from human face region as the coordinate position of personnel.
Compared with prior art, using in the invention based on recognition of face public place health monitoring systems and side
Method has the following beneficial effects:
The present invention is in real time monitored the body temperature of the personnel in public place, and generates when detecting high temperature and include
The alarm signal of personnel location information facilitates staff to sick personnel positioning, when being identified to personnel, in order to avoid
It judges by accident, only as the same personnel, when 2 is small, the interior excessively high body temperature detected more than twice just generates alarm signal, and
And the location information of personnel can be further determined by the place marker for the known location being arranged in public place;This hair
It is bright to can be applied to such as railway station, market, working hall public place, realize the health monitoring to personnel in public place.
In this description, the present invention is described with reference to its specific embodiment.But it is clear that can still make
Various modifications and alterations are without departing from the spirit and scope of the invention.Therefore, the description and the appended drawings should be considered as illustrative
And not restrictive.
Claims (10)
1. a kind of public place health monitoring systems based on recognition of face characterized by comprising
Multiple infrared radiation thermometers, for detecting the body temperature of personnel in public place;
Multiple cameras, the camera and the infrared radiation thermometer correspond, and each camera is set to corresponding
The side of infrared radiation thermometer, the camera are used to acquire the image of personnel in public place;
Controller, the controller are used to acquire the photograph image of the camera shooting and the measurement number of the infrared radiation thermometer
According to, and the controller includes:
Face characteristic library, for saving the mapping relations of face characteristic and face characteristic and person number;
Camera communication module for acquiring the photograph image of the camera shooting, and sends rotation to the camera and refers to
It enables;
Infrared radiation thermometer communication module is sent out for acquiring the temperature measurement data of the infrared radiation thermometer, and to the infrared radiation thermometer
Send rotation temperature measuring head instruction;
Image processing module extracts human face region image, identification face is special for handling the photograph image of the camera shooting
Sign;
Personal management module, for judging whether the face characteristic that image processing module is analyzed has been stored in face characteristic library
In, if it is, personnel query is numbered, if it does not exist, then the new person number of distribution, and by person number and face characteristic
It stores in face characteristic library;
Temperature management module, for infrared radiation thermometer and corresponding camera to be associated in the data that same position acquires,
Using the temperature measurement data of infrared radiation thermometer as camera, the personnel corresponding to face characteristic in the image that same position acquires are compiled
Number temperature data;
Alarm signal generation module, for judging whether the temperature measurement data of infrared radiation thermometer measurement is greater than preset temperature threshold, such as
Fruit is then to generate alarm signal, and the alarm signal includes the measurement data of infrared radiation thermometer measurement, the corresponding people of measurement data
The current position of personnel corresponding to member's number, the number of infrared radiation thermometer and person number.
2. the public place health monitoring systems according to claim 1 based on recognition of face, which is characterized in that described to take the photograph
As head can rotate between the first position and the second position, the temperature measuring head of the infrared radiation thermometer can be in the third place and the 4th
It is rotated between setting, for the temperature measuring head of the infrared radiation thermometer in the third place, thermometric direction and the camera are at first
Shooting direction is consistent when setting, and at four positions, thermometric direction and the camera exist the temperature measuring head of the infrared radiation thermometer
Shooting direction is consistent when four positions;
The camera communication module sends rotation command to the camera, controls the camera every preset period of time
It is interior to turn to the second position from first position, and it is back to first position from the second position, in the camera rotation process,
The camera shoots photograph image every default collection period;
The infrared radiation thermometer communication module sends rotation temperature measuring head instruction to the infrared radiation thermometer, controls the infrared measurement of temperature
The temperature measuring head of instrument is back to third position from the 4th position every turning to the 4th position from the third place in preset period of time
It sets, after the camera shoots photograph image, and when described image processing module recognizes human face region in photograph image,
The temperature measuring head temperature collection data of the infrared radiation thermometer.
3. the public place health monitoring systems according to claim 1 based on recognition of face, which is characterized in that the figure
As processing module detects human face region image based on trained Adaboost classifier in the photograph image that camera is shot.
4. the public place health monitoring systems according to claim 1 based on recognition of face, which is characterized in that the people
Face feature includes three front yard percent informations, five percent informations, facial average gray value and the hair average gray value of face.
5. the public place health monitoring systems according to claim 4 based on recognition of face, which is characterized in that the figure
As processing module identifies the three front yard percent informations and five percent informations of face using following steps in human face region image:
Using trained active shape model, point in human face region image, hairline point on the outside of left eye are detected, outside right eye
Side hairline point, subnasal point, eyebrow tail point, the left eye tail of the eye, left eye inner eye corner, right eye inner eye corner and the right eye tail of the eye;
Using trained active shape model, the center of top hairline point in human face region image is detected;
Face altitude range is determined according to the spacing between center of top hairline point and point;
Face width range is determined according to the spacing between hairline point on the outside of hairline point on the outside of left eye and right eye;
Two cut-points by subnasal point and eyebrow tail o'clock as three front yards, according to the two of three front yards cut-points and face altitude range
Calculate the percent information in three front yards;
Using the left eye tail of the eye, left eye inner eye corner, right eye inner eye corner and the right eye tail of the eye as five four cut-points, according to five
Four cut-points and face width range of eye calculate five percent informations.
6. the public place health monitoring systems according to claim 5 based on recognition of face, which is characterized in that the figure
As processing module calculates facial average gray value and hair average gray value using following steps in human face region image:
Using human face region image more than center of top hairline point as hair zones, by center of top hairline point face below
Area image is as facial area;
The gray value of each pixel in facial area is obtained respectively, and the gray value of each pixel is flat in calculating facial area
Mean value, as facial average gray value;
The gray value of each pixel in hair zones is obtained respectively, and the gray value of each pixel is flat in calculating hair zones
Mean value, as hair average gray value.
7. the public place health monitoring systems according to claim 6 based on recognition of face, which is characterized in that the people
Member's management module judges whether the face characteristic that image processing module is analyzed has been stored in face characteristic using following steps
In library:
The ratio in three front yards for whether thering is the percent information in three front yards and analysis to obtain in the personal management module inquiry face feature database
The difference of example information is respectively less than the face characteristic of the first preset threshold;
If it is, the personal management module judges five percent informations of the face characteristic in the face feature database and divides
Whether the difference for analysing five obtained percent informations is respectively less than the second preset threshold;
If it is, the personal management module judges the facial average gray value of the face characteristic in the face feature database and divides
It analyses the obtained difference of facial average gray value and whether is less than third predetermined threshold value, and the face characteristic in the face feature database
Whether the difference for the hair average gray value that hair average gray value and analysis obtain is less than the 4th preset threshold;
If it is, determining that the face characteristic of the face feature database is the consistent face characteristic of face characteristic obtained with analysis.
8. the public place health monitoring systems according to claim 1 based on recognition of face, which is characterized in that the report
Alert signal generation module judges that the temperature measurement data of infrared radiation thermometer measurement is greater than after preset temperature threshold, raw using following steps
At alarm signal:
The alarm signal generation module judges same person number, and whether there is also have another to exist greater than preset temperature threshold
First temperature measurement data, and the difference of the time of measuring for the temperature measurement data that formerly time of measuring of temperature measurement data judges with this is less than 2
Hour;
If it is, the alarm signal generation module generates alarm signal.
9. the public place health monitoring systems according to claim 1 based on recognition of face, which is characterized in that the public affairs
Be provided in place altogether it is multiple there is place marker known to different shape and place, described image processing module is also used to adopt
The place marker in the photograph image of the camera shooting is identified with active shape model, according to nearest apart from human face region
The position of place marker determine the position of personnel.
10. a kind of public place health monitor method based on recognition of face, which is characterized in that appoint using in claim 1 to 9
Public place health monitoring systems described in one based on recognition of face, described method includes following steps:
Acquire the photograph image of the camera shooting;
Acquire the temperature measurement data of the infrared radiation thermometer;
The photograph image for handling the camera shooting, extracts human face region image, identifies face characteristic;
Judge whether the face characteristic that image processing module is analyzed has been stored in face characteristic library, if it is, inquiry
Person number, if it does not exist, then the person number that distribution is new, and person number and face characteristic are stored to face characteristic library
In;
Infrared radiation thermometer and corresponding camera are associated in the data that same position acquires, by the thermometric of infrared radiation thermometer
Temperature data of the data as camera person number corresponding to face characteristic in the image that same position acquires;
Judge whether the temperature measurement data of infrared radiation thermometer measurement is greater than preset temperature threshold, if it is, generating alarm signal, institute
State alarm signal include infrared radiation thermometer measurement measurement data, the corresponding person number of measurement data, infrared radiation thermometer volume
Number and person number corresponding to the current position of personnel.
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Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN104980710A (en) * | 2015-06-30 | 2015-10-14 | 上海青橙实业有限公司 | Temperature detection method and mobile terminal |
CN105138981A (en) * | 2015-08-20 | 2015-12-09 | 北京旷视科技有限公司 | In-vivo detection system and method |
CN108344525A (en) * | 2018-02-09 | 2018-07-31 | 英华达(上海)科技有限公司 | Adaptive body temperature monitoring method and system |
CN108710841A (en) * | 2018-05-11 | 2018-10-26 | 杭州软库科技有限公司 | A kind of face living body detection device and method based on MEMs infrared sensor arrays |
-
2018
- 2018-10-31 CN CN201811282730.XA patent/CN109215806A/en active Pending
Patent Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN104980710A (en) * | 2015-06-30 | 2015-10-14 | 上海青橙实业有限公司 | Temperature detection method and mobile terminal |
CN105138981A (en) * | 2015-08-20 | 2015-12-09 | 北京旷视科技有限公司 | In-vivo detection system and method |
CN108344525A (en) * | 2018-02-09 | 2018-07-31 | 英华达(上海)科技有限公司 | Adaptive body temperature monitoring method and system |
CN108710841A (en) * | 2018-05-11 | 2018-10-26 | 杭州软库科技有限公司 | A kind of face living body detection device and method based on MEMs infrared sensor arrays |
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