CN109259749A - A kind of contactless method for measuring heart rate of view-based access control model camera - Google Patents
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- A61B5/02—Detecting, measuring or recording pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
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- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/02—Detecting, measuring or recording pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
- A61B5/024—Detecting, measuring or recording pulse rate or heart rate
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Abstract
The present invention relates to a kind of contactless method for measuring heart rate of view-based access control model camera, include the steps of determining that region of interest ROI, processing picture element signal step, extract heart rate information；The present invention acquires the video image of target using video camera.Then these images are directed to, color enhancing are carried out to acquired image, and position to selected ROI.Then useful signal is extracted, heart rate is obtained by bandpass filter and Fast Fourier Transform (FFT).The experimental results showed that this method being capable of effectively measuring heart rate.It is thus achieved that the measurement to contactless heart rate.
Description
Technical field
A kind of contactless method for measuring heart rate of view-based access control model camera of the present invention, is belonged to and is extracted based on common camera
The medical field of physiologic information.
Background technique
More common contactless heart rate measurement mode has at present: the Doppler measurement based on microwave or millimeter wave swashs
Light Doppler measurement, infrared imaging measurement, the photoplethysmographic based on imaging type
(ImagingPhotoPlethysmoGraphy, IPPG) measurement method.
Doppler measurement mode based on microwave or millimeter wave, is proposed by the U.S. earliest.This measurement method early stage is used for
Looking for survivors in military affairs, after detect sportsman's heart rate information using this mode on 1996 Games in Atlanta.It is led
The testing principle wanted is the form by using microwave or millimeter wave, by Microwave emission waveform with human body after waveform irradiates
Back scattered waveform is mixed, and obtains heart rate information by calculating the frequency shift information of mixed frequency signal.Advantage: it can be realized non-
Contact heart rate measurement.It is insufficient: it is this that human body is irradiated by microwave or millimeter wave, it has for a long time compared with large radiation, and for
Human motion can bring larger interference information, and measuring device volume is larger, mobile inconvenient.
Laser Doppler measuring mode is to be detected using Doppler effect by laser aid since human heartbeat causes
Chest vibration.Laser Doppler system is Italian enlightening Sani tower Advanced Study Institutes and Ma Erkai Polytechnics of Italy joint
One system of research, what is utilized is M-Z laser-Doppler interferometry structure.The advantages of laser Doppler measuring is can be real
Now accurate, contactless heart rate detection, the disadvantage is that prolonged laser emission, will cause certain physiological load, cannot achieve
Daily measurement.
Infrared imaging measures heart rate, and the method is that Roberts's imaging research in 1999 is proposed.Blood of human body flowing can be same
Ambient enviroment generates heat transfer, and infrared facility can acquire the thermal change that blood flow process generates in blood vessel, by thermal change
Analysis can calculate to obtain heart rate.The it is proposed of this experimental provision is that the photoplethysmographic measuring technique based on imaging in later period is beaten
Basis is descended, disadvantage: being not suitable for prolonged heart rate measurement, has been not suitable for daily measurement.
Contactless heart rate detection method based on imaging type photoplethysmographic graphical method is just to start recent years
It is studied.Its main foundation principle is photoplethysmography, and human heart periodically bounce will lead to oxygen-containing in blood
Content of hemoglobin cyclically-varying causes blood absorption reflection light intensity generating period to sexually revise.Human vas is distributed in
Skin surface periodically absorbs and forms periodical colour of skin variation, extracting cycle color change letter with reflection light Strength Changes
Human heart rate's information just can be obtained in breath.
Wieringa in 2005 et al. is extracted the heart rate signal under different wave length, Takano in 2007 using IPPG technology
Et al. the extraction of heart rate signal is realized under illumination condition by black-white CCD.But both measurement methods are in light environment
Large error can be all generated under change and motion conditions, large effect can be generated to measurement result precision.
Hu in 2008 et al. proposes the feasibility study of imaging type photoplethysmographic graphical method, to the effect that passes through
Using LED light source and imaging device, people's finger tip video is acquired using imaging device under noncontact condition, uses different-waveband light
Finger tip photoelectricity volume change information is extracted under source, measures human heart rate.This research is confirmed using imaging type photoelectricity volume arteries and veins
Wave graphical method of fighting measures a possibility that human heart rate.
2010, Massachusetts science and engineering Poh et al. used blind source separate technology, weakened movement bring error.The reality of Poh et al.
Testing principle is to handle with blind source separate technology by acquiring face video and extract heart rate signal, the human body heart is obtained by calculation
Rate.
Rubins in 2011 et al. proposes to pass through the time using computer camera and LED light source and system processing unit
Window form acquires human hands photoplethysmographic signal to realize real-time detection human heart rate's purpose.Requirement of experiment: hand
Portion will be in totally stationary state.
Sun in 2013 et al. is proposed to use imaging device and LED light source homologous ray processing software, is taken and extract the manpower palm
10*10 module is acquired and is analyzed and processed respectively using the imaging device of different acquisition video image speed, it was demonstrated that can be used
Common camera is as imaging device, to carry out rhythm of the heart.When this method measures heart rate, hand need to be remain stationary.
Zeng in 2015 et al. uses EMD and FFT technique, by acquisition human face region parts of images as region of interest
Domain extracts region averages information, and then carries out Fourier transformation and obtain frequency information, and heart rate information is finally calculated.
In video, human body need to keep stationary state as far as possible.
Ilaria in 2016 et al. uses PCA technology, by extracting face area-of-interest in vision signal at a distance, counts
Calculation obtains heart rate information, likewise, human body needs to remain stationary state in extraction process.
In conclusion contactless method for measuring heart rate since most to human body have certain radiation effect laser or
Microwave type method for measuring heart rate is surveyed to the later period noninvasive contactless heart rate based on imaging type photoplethysmographic graphical method
Amount method, contactless heart rate measurement technology are more mature.The medical mirror proposed at present by Poh et al. in hospital's trial operation,
Contactless heart rate measurement mode must in terms of the following medical diagnosis because of its noninvasive, convenient, cheap, comfortable measurement advantage
There to be wide application space.
Summary of the invention
Present invention aims at human heart rate's information is extracted by common high-definition camera, proposes one kind and imaged with vision
Contactless method for measuring heart rate and application for head, in the case that this method not needing contact in 0.5~2.5m
Measurement heart rate information is possibly realized, and obtains higher measurement accuracy.Contactless heart rate measurement monitors remote physiological
Develop important in inhibiting.
The technical scheme adopted by the invention to solve the technical problem is that: a kind of contactless heart of view-based access control model camera
Rate measurement method and application, this method comprises the following steps:
Step 1: determining area-of-interest (ROI)；
Image data is obtained from vision camera, and color of image is enhanced by Euler's image zoom algorithm, it is last manual
Specify ROI region as signal extraction region；
Step 2: processing picture element signal；
Obtained ROI is carried out channel separation, distinguished each channel by the tracking that ROI is realized by target tracking algorism
It is normalized；
Step 3: extracting heart rate information；
Data further progress separation after normalization, obtains the signal comprising heart rate information.By when-frequency transformation by when
Domain signal transforms to frequency-region signal, and is filtered using filter.Finally obtain the heart rate information of needs.
Further, in the step 1, enhancing color of image is at least by being filtered image, amplify, synthesize step
It is rapid to realize.The selection of ROI need to consider that eye, mouth, forehead such as block at the interference of factors, and last selected characteristic significantly interferes with minimum
Region as ROI.
Further, in the step 2, in order to avoid movement causes noise jamming, real-time tracking is carried out to ROI, it can be with
Obtain metastable same target area.Obtained ROI is subjected to channel separation, obtains including three of heart rate information
Three channels of separation are normalized in channel, to facilitate the processing of follow-up data.After normalization data, according to
Human normal heart rate range designs filter, filters out the influence of noise outside heart rate.
Further, in the step 3, filtered data, further separate triple channel in useful signal, for point
Three channel signals from after, by with the signal in the original channel G carry out correlation analysis obtain after blind source separating effectively from
Dissipate sequence.The discrete series that correlation analysis obtains carry out frequency-domain transform, are then filtered signal, find effectively
Frequency corresponding to Amplitude maxima in frequency band is corresponding heart rate signal frequency.
Compared with prior art, the invention has the benefit that
1, the present invention comprehensively consider shake, block with the environmental factors such as illumination, select it is relatively stable, have certain feature
Area-of-interest improve signal-to-noise ratio, guarantee measurement result precision.
2, the present invention carries out tenacious tracking to ROI using core correlation filtering, ensure that the stability of result and reliable
Property.
3, the present invention using Euler's image zoom algorithm and independent composition analysis algorithm filter joint to useful signal into
Row extracts, and effectively increases result precision.
Detailed description of the invention
Fig. 1 is measurement method block diagram of the invention.
Fig. 2 is Euler's image zoom functional block diagram of the invention.
Fig. 3 is RGB triple channel filtering of the invention front and back data comparison figure, wherein Fig. 3 (a), (b), (c) be respectively R,
G, B single channel filtering front and back data comparison figure.
Fig. 4 is blind source separating result figure of the invention, and wherein Fig. 4 (a) is the useful signal after blind source separating, Fig. 4 (b),
Fig. 4 (c) is noise signal.
Fig. 5 is the spectrogram after ideal bandpass filtering of the invention.
Specific embodiment
The invention is described in further detail with reference to the accompanying drawings of the specification.
As shown in Figure 1, the step of entire measurement method, is as follows:
Step 1: determining ROI；
Step 1-1: color of image enhancing；After obtaining image, enhanced herein using Euler's image zoom algorithm as shown in Figure 2
Color signal.Firstly, image sequence is carried out pyramid Multiresolution Decomposition, then obtains decomposition using spatial filter
Image be sent to time domain filtering to obtain ROI band signal, later, it is close that each frequency band signals with Taylor series carry out difference
Seemingly, Linear Amplifer, finally synthesizes new images for each image.
Step 1-2: ROI is chosen；The image of acquisition, target areas may be to survey when speaking for eyes blink, mouth etc.
Amount affects, and then generates unnecessary noise.In order to avoid extra noise, it is intended that locate as far as possible target area
In stationary state or quasi- stationary state.In view of mobile and hair such as blocks at the factors, we choose ROI finally as on our bridge of the noses
One piece of rectangular area.The subsequent extracted field color average value.
Step 2: processing picture element signal；
Step 2-1: target following determines ROI；In order to avoid movement causes noise jamming, herein by KCF target following
Algorithm, which is realized to stablize, obtains ROI.In KCF algorithm, target area is identified as positive sample, and target area peripheral region is identified
It can train to obtain a ridge regression classifier according to these positive samples and negative sample for negative sample.Then pass through the classifier
Carry out the positioning of ROI.
Step 2-2: channel separation；RGB channel separation is carried out to the ROI that target tracking algorism obtains, it is available to include
There are three channels of heart rate information, calculates separately the pixel mean value in each channel, specific formula is as follows:
Vi indicates that average pixel value, x and y indicate the width and height of ROI in formula.M indicates that the pixel calculated is equal in formula
M times of value amplification, convenient for indicating the difference of signal.
Step 2-3: normalization and filtering；By above step, the available discrete series to signal, to RGB tri-
Discrete series are normalized respectively, specific formula is as follows:
μ in formulaiAnd σiIndicate that pixel mean value and standard deviation, i indicate tri- channels R, G, B.
It also include some high-frequency signals in discrete signal after normalized.We are according to human normal heart rate
Set of frequency filtering bandwidth, is filtered using filter, and filtered data are as shown in Figure 3.
Step 3: extracting heart rate information；
Step 3-1: blind source separating；Blind source separate technology can isolate useful signal from noise signal, herein,
We use input signal of tri- channels R, G, B as blind source separating, and for output signal, equally there are three the discrete of channel
Sequence.Correlation analysis carried out to three channels of output and the original channel G herein, three sequences exported with it is original
The related coefficient of G channel signal, the discrete series of maximum as our needs of coefficient.Blind source separating result is as shown in Figure 4.
Step 3-2: heart rate is calculated；The discrete series finally needed in step 3-1, by frequency-domain transform and filter
Filtering processing, we obtain final spectrogram, as shown in Figure 5.After filtering, we can find the Amplitude maxima in frequency band
Corresponding nh, corresponding frequency can obtain with following formula:
F in formulasIndicate frame per second, N indicates to count in frequency domain change procedure.
After obtaining the corresponding frequency of heart rate, practical heart rate can be calculated by following formula:
HR=ωn*60
In conclusion the present invention realizes contactless heart rate measurement by common camera.In order to measure heart rate, herein
Color enhancing is carried out by Euler's image zoom algorithm to the image of acquisition, and makes to position the ROI in every frame image, from each
Pixel mean value composition pixel sequence is extracted in ROI, and operation then is normalized to each sequence.Next, blind source separating
It is used to further extract useful signal, effective heart rate information extracted after frequency-domain transform and filter process.Most
Afterwards by the accuracy of the experimental verification result proposed by the present invention that contactless heart rate measurement is carried out by common camera,
Real-time and robustness.
The foregoing is merely a specific embodiments of the invention, are not intended to limit the invention, all in essence of the invention
Within mind and principle, any modification, equivalent replacement, improvement and so on be should all be included in the protection scope of the present invention.
Claims (8)
1. a kind of contactless method for measuring heart rate of view-based access control model camera, characterized by the following steps:
Step 1: determining region of interest ROI；Image data is obtained from vision camera, is increased by Euler's image zoom algorithm
Strong color of image, last ROI region specified manually is as signal extraction region；
Step 2: processing picture element signal；Obtained ROI is carried out channel separation by the tracking that ROI is realized by target tracking algorism,
Each channel is normalized respectively；
Step 3: extracting heart rate information；Data further progress separation after normalization, obtains the signal comprising heart rate information.It will
Time-domain signal transforms to frequency domain, is filtered using filter.The heart rate information needed.
2. the contactless method for measuring heart rate of view-based access control model camera according to claim 1, it is characterised in that: described
In step 1, enhancing color of image at least by image be filtered, amplify, synthesis step is realized.
3. the contactless method for measuring heart rate of view-based access control model camera according to claim 1, it is characterised in that: described
In step 1, the selection of ROI need to consider that eye, mouth, forehead such as block at the interference of factors, and last selected characteristic significantly interferes with minimum
Region as ROI.
4. the contactless method for measuring heart rate of view-based access control model camera according to claim 1, it is characterised in that: described
In step 2, in order to avoid movement causes noise jamming, real-time tracking is carried out to ROI, metastable same mesh can be obtained
Mark region.
5. the contactless method for measuring heart rate of view-based access control model camera according to claim 4, it is characterised in that: described
In step 2, obtained ROI is subjected to channel separation, obtain include heart rate information three channels, it is logical for three of separation
Road is normalized, to facilitate the processing of follow-up data.
6. the contactless method for measuring heart rate of view-based access control model camera according to claim 5, which is characterized in that described
In step 2, after normalization data, filter is designed according to human normal heart rate range, filters out the influence of noise outside heart rate.
7. the contactless method for measuring heart rate of view-based access control model camera according to claim 1, which is characterized in that described
Filtered data in step 3 further separates the useful signal in triple channel, for three channel signals after separation, leads to
It crosses and carries out correlation analysis with the signal in the original channel G and obtain effective discrete series after blind source separating.
8. the contactless method for measuring heart rate of view-based access control model camera according to claim 1, which is characterized in that described
The discrete series that correlation analysis obtains in step 3 carry out frequency-domain transform, are then filtered signal, find effectively
Frequency corresponding to Amplitude maxima in frequency band is corresponding heart rate signal frequency.
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| CN109998501A (en) * | 2019-03-26 | 2019-07-12 | 深圳市科思创动科技有限公司 | Physical signs and the detection method of psychological indicator, device and terminal device |
| CN110090010A (en) * | 2019-06-17 | 2019-08-06 | 北京心数矩阵科技有限公司 | A kind of contactless blood pressure measuring method and system |
| CN110236511A (en) * | 2019-05-30 | 2019-09-17 | 云南东巴文健康管理有限公司 | A kind of noninvasive method for measuring heart rate based on video |
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