CN111735544A - Infrared human body temperature measurement method based on multi-dimensional compensation - Google Patents
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- G01J5/00—Radiation pyrometry, e.g. infrared or optical thermometry
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- G01J5/00—Radiation pyrometry, e.g. infrared or optical thermometry
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Abstract
The invention discloses an infrared human body temperature measurement method based on multidimensional compensation, which comprises the following steps: acquiring an infrared image within a field of view by an infrared thermal imaging device; simultaneously, acquiring a visible light image in a field range through a camera; identifying human face areas in the infrared image and the visible light image within the field of view; mapping the face area of the infrared image in the field of view to the face area of the visible light image through a mapping relation to obtain first temperature distribution data of each face in the field of view; compensating the first temperature distribution data through a multi-dimensional compensation algorithm to obtain second temperature distribution data; and respectively selecting the data with the highest temperature in the second temperature distribution data of each face as the body temperature value of the human body corresponding to each face. The invention compensates the temperature data through a multidimensional compensation algorithm, reduces the influence of parameters such as distance, target size, radiance, environment temperature and the like on the temperature measurement result, and greatly improves the precision of human face temperature measurement.
Description
Technical Field
The invention belongs to the technical field of infrared temperature measurement, and particularly relates to an infrared human body temperature measurement method based on multi-dimensional compensation.
Background
Affected by epidemic situations, more and more public places need to be screened for body temperature when going in and out. The demand of body temperature detection equipment is rapidly increasing no matter whether airports, high-speed rails, subways, residential areas or office buildings. The non-contact body temperature screening uses an infrared temperature measurement technology more, and all objects with the temperature higher than absolute zero continuously emit infrared radiation energy to surrounding space. The magnitude of the infrared radiation energy of the object and the distribution of the wavelength thereof have a close relationship with the surface temperature of the object. Therefore, by measuring the infrared energy radiated from the object itself, the surface temperature thereof can be accurately determined. The devices that measure temperature by receiving infrared energy are primarily infrared sensors. The infrared sensor can be roughly divided into single-point temperature measurement and multipoint temperature measurement according to the number of temperature measurement points. The single-point temperature measurement is that the sensor only has one temperature value output, and the sensor is mostly applied to forehead temperature guns and other types of equipment. The general effective temperature measuring distance is short, only 10cm-20cm, and only one person can be measured. The target surface of the sensor for multipoint temperature measurement is a matrix, and can be understood as being formed by splicing a plurality of single-point sensors. A typical application of single point thermometry is a forehead gun. However, the forehead temperature guns are short in temperature measurement distance, people need to stay for waiting during temperature measurement, the temperature measurement speed is low, each forehead temperature gun needs to be operated by people, and the forehead temperature guns are very inconvenient to use in places with large flow of people like entrances and exits of airports.
The existing multipoint temperature measurement method generally identifies the temperature data of a human face through a binocular temperature measurement system, and selects the data with the highest temperature of the human face as the body temperature data of a human; the temperature measurement method has a large temperature measurement range, the personnel to be measured do not need to stay for waiting, multi-person concurrent temperature measurement can be carried out in a temperature measurement area, and the screening efficiency is high; however, the existing face temperature measurement method has the problem of large error, and the error is mainly generated by the following factors except the error of the equipment:
(1) emissivity, the physical quantity of the magnitude of a body's ability to radiate from a black body, is related to the direction of measurement in addition to the shape of the material of the body, the surface roughness, and so on. If the surface of the object is smooth, the orientation is more sensitive. If the temperature of a plurality of people needs to be measured simultaneously during the process of traveling, the angle of the face can change in real time during the process of traveling, and great influence is generated on the temperature measurement result.
(2) The distance coefficient (K ═ D/S) is the ratio of the distance of the infrared thermal imaging device to the target size (area), and has a large influence on the infrared temperature measurement accuracy. The distance of the target to be measured changes in real time in the process of moving, so that the temperature measurement result is influenced;
(3) the size of the target, the field of view of the measured target and the infrared thermal imaging device determine the accuracy of the measurement of the instrument. When infrared thermometry is used, only the average temperature of the surface of the target under test can generally be measured. When the measured target is smaller than the test visual field, the background radiation energy enters the infrared thermal imaging equipment, so that the temperature measurement reading is interfered to cause errors. The readings show a weighted average of the measured object and the background temperature. The temperature measurement is carried out by multiple persons simultaneously, the size of each person only occupies one part of the temperature measurement area, and the background can interfere with the temperature measurement result;
(4) the environmental temperature and the environment of the measured object have great influence on the measurement result, mainly expressed in the temperature and the definition of the environment. The human body radiates energy and also reflects energy. The radiation of the environment will be superimposed on the measurement results by reflection from the human face, thereby affecting the test data. In the radiation transmission process of infrared rays, energy can be attenuated due to the absorption effect of the atmosphere, and meanwhile, the radiation attenuation rates are different due to the change of weather, such as sunny days and rainy days, and the atmospheric humidity is different.
Patent publication No. CN110411570A discloses an infrared human body temperature screening method based on human body detection and human body tracking technology, which includes: judging whether the mouse point is in a face area of a human body range or not by utilizing a human body detection algorithm and a human face detection algorithm based on the mouse point in the visible light image; if the mouse point is in the face area of the human body range, calculating a human body contour area corresponding to the mouse point in the visible light image and a human body contour area and a human face contour area corresponding to the human face contour area in the infrared image through a registration algorithm, calculating the highest temperature of the upper half part of the human face contour area in the infrared image as the forehead temperature, and calculating the internal temperature according to the forehead temperature and the corresponding relation between the medical forehead temperature and the internal temperature; and judging the alarm temperature of the acquired internal temperature according to a preset alarm temperature threshold, and if the alarm temperature exists, tracking a human face target and a human body target which trigger the alarm temperature by utilizing a human face and human body tracking technology. The problem of registration of a visible light image and an infrared image of a human face is only solved, and the problem of accuracy of human face temperature measurement is not solved.
In summary, there is a need for an infrared human body temperature measurement method based on multi-dimensional compensation to reduce the influence of factors such as radiance, distance, target size, and ambient temperature on the temperature measurement result, so as to improve the accuracy of human face temperature measurement.
Disclosure of Invention
The invention aims to provide an infrared human body temperature measurement method based on multi-dimensional compensation, which greatly improves the accuracy of a human face temperature measurement result.
In order to achieve the purpose, the invention adopts the technical scheme that:
an infrared human body temperature measurement method based on multi-dimensional compensation comprises the following steps:
acquiring an infrared image within a field of view by an infrared thermal imaging device; simultaneously, acquiring a visible light image in a field range through a camera;
identifying human face areas in the infrared image and the visible light image within the field of view;
mapping the face area of the infrared image in the field of view to the face area of the visible light image through a mapping relation to obtain first temperature distribution data of each face in the field of view;
compensating the first temperature distribution data through a multi-dimensional compensation algorithm to obtain second temperature distribution data;
and respectively selecting the data with the highest temperature in the second temperature distribution data of each face as the body temperature value of the human body corresponding to each face.
Specifically, the multi-dimensional compensation algorithm comprises a distance coefficient compensation algorithm, an ambient temperature compensation algorithm and a radiance compensation algorithm.
Specifically, the method for compensating the first temperature distribution data by the distance coefficient compensation algorithm includes:
setting the temperature of the black body to be 36.5 ℃ constant temperature, and the size of the black body to be 0.1m by 0.08 m; respectively acquiring a plurality of temperature calibration data within a range of 1.5-3.5 m from the infrared thermal imaging device to the black body, wherein the temperature calibration data are black body temperature data acquired by the infrared thermal imaging device;
defining temperature calibration data when the distance is 3.5m as reference temperature data, respectively calculating the difference between a plurality of temperature calibration data within the range of 1.5 m-3.5 m and the reference temperature data to obtain a line graph of the temperature difference and the distance, and fitting the line graph to obtain a curve graph of the temperature difference and the distance;
defining a distance coefficient of K ═ D/S, D being the distance between the black body and the infrared thermal imaging device, S being the area of the black body in the infrared image, S ═ 0.1 × 0.08.08 ═ 0.008m2；
Dividing the abscissa distance in the temperature difference and distance curve chart by the area of the black body to obtain a temperature difference and distance coefficient curve chart;
detecting the area of each face in the field of view and the distance between each face and the infrared thermal imaging equipment, calculating the distance coefficient between each face and the infrared thermal imaging equipment, and performing distance coefficient compensation on the first temperature distribution data of each face according to the curve graph of the temperature difference and the distance coefficient.
Specifically, the effective temperature measuring range of the temperature measuring method is 1.5-3.5 m away from the infrared thermal imaging device.
Specifically, the method for compensating the first temperature distribution data by the ambient temperature compensation algorithm includes:
setting the temperature of the black body to be constant at 36.5 ℃, changing the ambient temperature of the black body, and respectively obtaining a plurality of temperature data of the black body within the ambient temperature range of-10-36.5 ℃;
defining temperature data of the black body measured when the ambient temperature is 36.5 ℃ as reference temperature data, respectively calculating the difference between a plurality of temperature data of the black body in the ambient temperature range of-10 ℃ to 36.5 ℃ and the reference temperature data to obtain a line graph of the temperature difference and the ambient temperature, and fitting the line graph to obtain a curve graph of the temperature difference and the ambient temperature;
and detecting the environmental temperature data in the field of view, and performing environmental temperature compensation on the first temperature distribution data of each face according to the temperature difference and environmental temperature curve graph.
Specifically, the method for compensating the first temperature distribution data by the emissivity compensation algorithm includes:
tracking and recording the angle of the same face and corresponding temperature data in a field of view to obtain a plurality of face angles and corresponding temperature data, selecting a plurality of temperature data when the face is over against the infrared thermal imaging device, and calculating the average value of the plurality of temperature data when the face is over against the infrared thermal imaging device, wherein the average value is the temperature data after radiance compensation is carried out on the first temperature distribution data of the face.
Compared with the prior art, the invention has the beneficial effects that: (1) the human body temperature detection is realized based on the human face temperature measurement technology, and the human face temperature distribution data obtained by the infrared thermal imaging equipment detection is compensated through a coefficient compensation algorithm, an environment temperature compensation algorithm and a radiance compensation algorithm, so that the influence of parameters such as distance, target size, angle (radiance), environment temperature and the like on the temperature measurement result is reduced, and the human face temperature measurement precision is greatly improved; (2) the temperature measurement method can realize remote temperature measurement, has a wide temperature measurement range, and can effectively detect the face temperature distribution data within a range of 1.5-3.5 m away from the infrared thermal imaging equipment within a view field range; (3) the temperature measuring method can simultaneously measure the temperatures of a plurality of persons to be measured in the field of view, has no requirement on the positions of the persons to be measured, does not need the persons to be measured to stay for waiting, and can realize the flow type temperature measurement.
Drawings
FIG. 1 is a flow chart of an infrared human body temperature measurement method based on multi-dimensional compensation according to the present invention;
FIG. 2 is a graph of distance versus temperature compensation in an embodiment of the present invention;
FIG. 3 is a graph of distance coefficient versus temperature compensation in an embodiment of the present invention;
FIG. 4 is a graph of ambient temperature versus temperature compensation in an embodiment of the present invention.
Detailed Description
The technical solutions of the present invention will be described clearly and completely with reference to the accompanying drawings, and it is obvious that the described embodiments are only some embodiments of the present invention, not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
As shown in fig. 1, the present embodiment provides an infrared human body temperature measurement method based on multi-dimensional compensation, which includes the following steps:
acquiring an infrared image within a field of view by an infrared thermal imaging device; simultaneously, acquiring a visible light image in a field range through a camera;
identifying human face areas in the infrared image and the visible light image within the field of view;
mapping the face area of the infrared image in the field of view onto the face area of the visible light image through a mapping relation (converting the coordinates of the face in the visible light field into infrared temperature matrix coordinates), and obtaining first temperature distribution data (namely a face temperature matrix) of each face in the field of view;
compensating the first temperature distribution data through a multi-dimensional compensation algorithm to obtain second temperature distribution data;
and respectively selecting the data with the highest temperature in the second temperature distribution data of each face as the body temperature value of the human body corresponding to each face.
Specifically, the multi-dimensional compensation algorithm comprises a distance coefficient compensation algorithm, an ambient temperature compensation algorithm and a radiance compensation algorithm.
Specifically, the method for compensating the first temperature distribution data by the distance coefficient compensation algorithm includes:
setting the temperature of the black body to be 36.5 ℃ constant temperature, and the size of the black body to be 0.1m by 0.08 m; respectively acquiring a plurality of temperature calibration data within a range of 1.5-3.5 m from the infrared thermal imaging device to the black body, wherein the temperature calibration data are black body temperature data acquired by the infrared thermal imaging device;
in the embodiment, 5 temperature data measured when the blackbody is 1.5m, 2m, 2.5m, 3m and 3.5m away from the infrared thermal imaging device are selected as temperature calibration data;
defining temperature calibration data when the distance is 3.5m as reference temperature data, respectively calculating the difference between the temperature data and the reference temperature data when the distance between the black body and the infrared thermal imaging equipment is 1.5m, 2m, 2.5m and 3m to obtain a line graph of the temperature difference and the distance, and fitting the line graph to obtain a curve graph of the temperature difference and the distance, wherein the curve graph is shown in FIG. 2;
defining a distance coefficient of K ═ D/S, D being the distance between the black body and the infrared thermal imaging device, S being the area of the black body in the infrared image, S ═ 0.1 × 0.08.08 ═ 0.008m2；
Dividing the abscissa distance in the temperature difference and distance graph by the area of the black body to obtain a temperature difference and distance coefficient graph, as shown in fig. 3;
detecting the area of each face in the field of view and the distance between each face and the infrared thermal imaging equipment, calculating the distance coefficient between each face and the infrared thermal imaging equipment, and performing distance coefficient compensation on the first temperature distribution data of each face according to the curve graph of the temperature difference and the distance coefficient.
Specifically, the effective temperature measuring range of the temperature measuring method is 1.5-3.5 m away from the infrared thermal imaging device.
Specifically, the method for compensating the first temperature distribution data by the ambient temperature compensation algorithm includes:
setting the temperature of the black body to be constant at 36.5 ℃, changing the ambient temperature of the black body, and respectively obtaining a plurality of temperature data of the black body within the ambient temperature range of-10-36.5 ℃;
defining temperature data of the black body measured when the ambient temperature is 36.5 ℃ as reference temperature data, respectively calculating the difference between a plurality of temperature data of the black body in the ambient temperature range of-10 ℃ to 36.5 ℃ and the reference temperature data to obtain a line graph of the temperature difference and the ambient temperature, and fitting the line graph to obtain a curve graph of the temperature difference and the ambient temperature, wherein the curve graph is shown in figure 4;
and detecting the environmental temperature data in the field of view, and performing environmental temperature compensation on the first temperature distribution data of each face according to the temperature difference and environmental temperature curve graph.
Specifically, the method for compensating the first temperature distribution data by the emissivity compensation algorithm includes:
when a person to be measured enters a temperature measurement area, the angle of the face of the person to be measured facing the infrared thermal imaging equipment is continuously changed along with the movement of the person, so that the problem of change of radiance is caused; tracking and recording the angle of the same face and corresponding temperature data in a field of view, keeping and recording 30 latest face angles and corresponding temperature data, selecting 10 temperature data when the face is over against an infrared thermal imaging device during temperature calculation, and calculating the average value of the 10 temperature data when the face is over against the infrared thermal imaging device, wherein the average value is the temperature data after radiance compensation is carried out on first temperature distribution data of the face; therefore, the error of the spatial domain angle is corrected from the time domain direction.
In this embodiment, the thermal imaging sensor of the infrared thermal imaging device has a resolution of 256 × 192, and may output 49152 point temperature data for each sampling, and may simultaneously measure the body temperature data of 32 persons; after the face temperature data is compensated through a multidimensional compensation algorithm, the temperature measurement change in the body within the range of 1.5 m-3.5 m can be lower than 0.1 ℃; when the environmental temperature is changed from 20-30 ℃, the deviation of the body temperature measurement result is lower than 0.1 ℃, and the body temperature deviation is lower than 0.3 ℃ in the field of repeated measurement by a single person, so that the method has good market application prospect.
Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that changes, modifications, substitutions and alterations can be made in these embodiments without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (6)
1. An infrared human body temperature measurement method based on multi-dimensional compensation is characterized by comprising the following steps:
acquiring an infrared image within a field of view by an infrared thermal imaging device; simultaneously, acquiring a visible light image in a field range through a camera;
identifying human face areas in the infrared image and the visible light image within the field of view;
mapping the face area of the infrared image in the field of view to the face area of the visible light image through a mapping relation to obtain first temperature distribution data of each face in the field of view;
compensating the first temperature distribution data through a multi-dimensional compensation algorithm to obtain second temperature distribution data;
and respectively selecting the data with the highest temperature in the second temperature distribution data of each face as the body temperature value of the human body corresponding to each face.
2. The infrared human body temperature measurement method based on multi-dimensional compensation of claim 1, wherein the multi-dimensional compensation algorithm comprises a distance coefficient compensation algorithm, an ambient temperature compensation algorithm and a radiance compensation algorithm.
3. The infrared human body temperature measurement method based on multi-dimensional compensation according to claim 2, wherein the method for compensating the first temperature distribution data by the distance coefficient compensation algorithm comprises the following steps:
setting the temperature of the black body to be 36.5 ℃ constant temperature, and the size of the black body to be 0.1m by 0.08 m; respectively acquiring a plurality of temperature calibration data within a range of 1.5-3.5 m from the infrared thermal imaging device to the black body, wherein the temperature calibration data are black body temperature data acquired by the infrared thermal imaging device;
defining temperature calibration data when the distance is 3.5m as reference temperature data, respectively calculating the difference between a plurality of temperature calibration data within the range of 1.5 m-3.5 m and the reference temperature data to obtain a line graph of the temperature difference and the distance, and fitting the line graph to obtain a curve graph of the temperature difference and the distance;
defining a distance coefficient of K ═ D/S, D being the distance between the black body and the infrared thermal imaging device, S being the area of the black body in the infrared image, S ═ 0.1 × 0.08.08 ═ 0.008m2；
Dividing the abscissa distance in the temperature difference and distance curve chart by the area of the black body to obtain a temperature difference and distance coefficient curve chart;
detecting the area of each face in the field of view and the distance between each face and the infrared thermal imaging equipment, calculating the distance coefficient between each face and the infrared thermal imaging equipment, and performing distance coefficient compensation on the first temperature distribution data of each face according to the curve graph of the temperature difference and the distance coefficient.
4. The infrared human body temperature measurement method based on multi-dimensional compensation as claimed in claim 3, wherein the effective temperature measurement range of the temperature measurement method is 1.5 m-3.5 m from the infrared thermal imaging device.
5. The infrared human body temperature measurement method based on multi-dimensional compensation according to claim 2, wherein the method for compensating the first temperature distribution data by the environment temperature compensation algorithm comprises the following steps:
setting the temperature of the black body to be constant at 36.5 ℃, changing the ambient temperature of the black body, and respectively obtaining a plurality of temperature data of the black body within the ambient temperature range of-10-36.5 ℃;
defining temperature data of the black body measured when the ambient temperature is 36.5 ℃ as reference temperature data, respectively calculating the difference between a plurality of temperature data of the black body in the ambient temperature range of-10 ℃ to 36.5 ℃ and the reference temperature data to obtain a line graph of the temperature difference and the ambient temperature, and fitting the line graph to obtain a curve graph of the temperature difference and the ambient temperature;
and detecting the environmental temperature data in the field of view, and performing environmental temperature compensation on the first temperature distribution data of each face according to the temperature difference and environmental temperature curve graph.
6. The infrared human body temperature measurement method based on multi-dimensional compensation according to claim 1, wherein the method for compensating the first temperature distribution data by the radiance compensation algorithm comprises the following steps:
tracking and recording the angle of the same face and corresponding temperature data in a field of view to obtain a plurality of face angles and corresponding temperature data, selecting a plurality of temperature data when the face is over against the infrared thermal imaging device, and calculating the average value of the plurality of temperature data when the face is over against the infrared thermal imaging device, wherein the average value is the temperature data after radiance compensation is carried out on the first temperature distribution data of the face.
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| CN114061761A (en) * | 2021-11-17 | 2022-02-18 | 重庆大学 | Remote target temperature accurate measurement method based on monocular infrared stereoscopic vision correction |
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