CN110426748A - There are detection method, device, storage mediums for quasi- static human body - Google Patents
There are detection method, device, storage mediums for quasi- static human body Download PDFInfo
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Abstract
Based on the human body of infrared array, there are detection method, device, storage mediums the present invention relates to a kind of, the human body includes: frame obtaining step there are detection method: obtaining the temperature data of infrared array each point collected in real time, and form data frame, moreover, the data frame is stored in the first buffer；Static detection step: opening a sliding window, carries out feature identification from the multiple data frames obtained in current sliding window mouth in first buffer, and to each data frame in current sliding window mouth, to determine whether that human body exists.Implement technical solution of the present invention, even if the people in meeting room is motionless or fine motion, also can accurately detect the occupied state of meeting room.
Description
Technical field
The present invention relates to infrared detection fields more particularly to a kind of quasi- static human body based on infrared array there is detection side
Method, device, storage medium.
Background technique
Many places require to understand its occupancy situation in real time at present, to improve service efficiency, for example, it is desired to real-time detection
It is presence of people in meeting room, and then determines whether occupied.In addition, these places are not easy to pacify because being related to privacy
Fill camera, it is necessary to the existing detection of human body is done using other technologies.Infrared radiation detection is current most commonly used one kind
Mode, which have the advantages that at low cost, technology maturation.
Current infra-red radiation human testing algorithm belongs to dynamic detection, that is, dependent on the movement of human body, but it is many when
It waits, when personnel are when meeting room is had a meeting, can't significantly move, then in this case, shape is used for meeting room
State, will maximum probability misjudgment.Therefore, existing infra-red radiation human testing algorithm has certain limitation, accurately
Rate is lower.
Summary of the invention
The technical problem to be solved in the present invention is that being lacked for above-mentioned human testing accuracy rate in the prior art is low
It falls into, providing a kind of quasi- static human body based on infrared array, there are detection method, device, storage mediums.
The technical solution adopted by the present invention to solve the technical problems is: constructing a kind of static people of standard based on infrared array
There are detection methods for body, comprising:
Frame obtaining step: obtaining the temperature data of infrared array each point collected in real time, and form data frame, moreover,
The data frame is stored in the first buffer；
Static detection step: opening a sliding window, multiple in current sliding window mouth from obtaining in first buffer
Data frame, and feature identification is carried out to each data frame in current sliding window mouth, to determine whether that human body exists.
Preferably, feature identification is carried out to the data frame in current sliding window mouth, to determine whether that human body exists, packet
It includes:
It for each data frame in current sliding window mouth, carries out the following processing: using preset reference value to the number
Be split according to frame, and using in the data frame be greater than the reference value temperature data be used as positive value number, moreover, calculating described in
The sum of the sum of numerical value of positive value number described in data frame/quantity；
Determine whether that human body is deposited according to the sum of the sum of numerical value corresponding to data frame each in current sliding window mouth/quantity
In.
Preferably, the sum of the sum of numerical value according to corresponding to data frame each in current sliding window mouth/quantity determines whether
With the presence of human body, comprising:
Discrete Fourier transform is carried out to the sum of the sum of numerical value corresponding to each data frame in current sliding window mouth/quantity
Or discrete cosine transform；
DC component is removed, and obtains low frequency component and high fdrequency component by preset rules；
Judge whether the low frequency component and the high fdrequency component meet preset component size condition, and is tied according to judgement
Fruit determines whether that human body exists.
Preferably, the sum of the sum of numerical value according to corresponding to data frame each in current sliding window mouth/quantity determines whether
With the presence of human body, comprising:
The sum of the sum of numerical value corresponding to each data frame in current sliding window mouth/quantity is normalized, with
Obtain normalized value corresponding to each data frame；
Judge whether the normalized value corresponding to all data frames are respectively in current sliding window mouth meets fluctuating range condition,
And determine whether that human body exists according to judging result.
Preferably, feature identification is carried out to the data frame in current sliding window mouth, to determine whether that human body exists, packet
It includes:
It for each data frame in current sliding window mouth, also carries out the following processing: using preset reference value to the number
It is split according to frame, and the temperature data for being greater than the reference value in the data frame is used as on the occasion of number, moreover, according to described
The coordinate information of positive value number determines the size of heat source in data frame, and whether within a preset range to judge the size of the heat source,
If so, determination meets heat source size condition；If not, it is determined that be unsatisfactory for heat source size condition；
According to the judging result of the heat source size condition of each data frame in current sliding window mouth, it is determined whether there is human body to deposit
In.
Preferably, feature identification is carried out to the data frame in current sliding window mouth, to determine whether that human body exists, packet
It includes:
The coordinate information of the maximum value of each data frame in current sliding window mouth is obtained respectively；
Judge whether the coordinate information of maximum value in each data frame in current sliding window mouth meets preset shift in position
Condition, and determine whether that human body exists according to judging result.
Preferably, after the frame obtaining step, further includes:
Temperature difference judgment step: search current data frame in maximum value and minimum value, and judge the maximum value with it is described
Whether the difference of minimum value is less than first threshold, exists if so, determining without human body, and empty first buffer；If it is not,
Then execute the static detection step.
The present invention also constructs a kind of quasi- static human body based on infrared array, and there are detection devices, including infrared array and place
Device is managed, the processor realizes the above-described static people of standard based on infrared array when executing stored computer program
Body the step of there are detection methods.
Preferably, the infrared array is the dot matrix infrared array of m*n；
Alternatively,
The infrared array be 1*n dot matrix infrared array, and the dot matrix infrared array of the 1*n by rotary scanning come
Acquire the temperature data of each point；
Wherein, m, n are the natural number greater than 1.
The present invention also constructs a kind of storage medium, is stored with computer program, and the computer program is held by processor
The step of realizing the above-described quasi- static human body based on infrared array when row there are detection methods.
Technical solution provided by the present invention, since human body has unique characteristic, so, it is got when from infrared array
After acquiring data, it can be may then determine whether by carrying out feature identification to each data frame in sliding window with the presence of human body,
Therefore, even if the people in meeting room is motionless or fine motion, the occupied state of meeting room also can be accurately detected.
Detailed description of the invention
In order to illustrate the embodiments of the present invention more clearly, attached drawing needed in describing below to embodiment makees letter
Singly introduce, it should be apparent that, drawings in the following description are only some embodiments of the invention, skill common for this field
For art personnel, without creative efforts, it is also possible to obtain other drawings based on these drawings.Attached drawing
In:
Fig. 1 is that there are the flow charts of detection method embodiment one the present invention is based on the quasi- static human body of infrared array；
Fig. 2 is distribution map of the sum of the numerical value on frequency domain in one embodiment of the invention.
Specific embodiment
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete
Site preparation description, it is clear that described embodiments are only a part of the embodiments of the present invention, instead of all the embodiments.It is based on
Embodiment in the present invention, it is obtained by those of ordinary skill in the art without making creative efforts every other
Embodiment shall fall within the protection scope of the present invention.
Fig. 1 is that there are the flow chart of detection method embodiment one, the realities the present invention is based on the quasi- static human body of infrared array
The quasi- static human body for applying example, which can detect the human body under fine motion/static state there are detection method, whether there is, and include:
Frame obtaining step S10: obtaining the temperature data of infrared array each point collected in real time, and form data frame, and
And the data frame is stored in the first buffer；
About the step, infrared array is typically mounted on indoor ceiling, moreover, in one implementation, it is red
Outer array is the dot matrix infrared array of m*n, wherein m, n are the natural number greater than 1, the dot matrix infrared array of for example, 8*8.In
In another implementation, infrared array is the dot matrix infrared array of 1*n (such as 1*8), and the dot matrix infrared array of the 1*n is logical
Rotary scanning is crossed to acquire the temperature data of each point.After getting the temperature data of each point from infrared array, by the seat of each point
Mark sequence arranges corresponding temperature data, that is, may make up a data frame, so, in a data frame, for a certain temperature
Degree evidence, only it is to be understood that its arrangement position in a data frame, that is, can determine the point temperature sensor for acquiring the temperature data
Coordinate information.In addition, static detection data are stored by the first buffer of setting, in this way, after often getting a data frame,
It can be deposited into the first buffer.
Static detection step S20: opening a sliding window, multiple in current sliding window mouth from obtaining in first buffer
Data frame, and in current sliding window mouth each data frame carry out feature identification, with determine whether human body exist.
In this step, about sliding window, length can be preset, such as be set as 3 seconds or 10 seconds, moreover, sliding
The quantity of data frame is related to the sample rate of the length of sliding window and infrared array in dynamic window.When having gathered sliding window
After interior data frame, so that it may which the unique property according to possessed by human body carries out feature to each data frame in sliding window
Identification, so that it is determined that whether with the presence of human body in the radiation scope of infrared array.
In first alternative embodiment, illustrate first, the breathing of people is a kind of regular fluctuation, to influence
The radiation temperature of ambient air, and common heat source does not have this characteristic, although also having fluctuation, this is the wave of random noise
It is dynamic.Based on this, static detection step S30 can determine whether that human body exists according to following manner:
Step S31. is carried out the following processing for each data frame in current sliding window mouth: using preset reference value
The data frame is split, and the temperature data for being greater than the reference value in the data frame is used as on the occasion of number, moreover,
Calculate the sum of the sum of numerical value of positive value number described in the data frame/quantity；
The sum of the sum of step S32. numerical value according to corresponding to data frame each in current sliding window mouth/quantity determines whether
With the presence of human body.
About step S32, in a specific embodiment, since human body respiration collects the fluctuation of temperature radiation on frequency domain
In on low frequency component, and high fdrequency component is less, so, step S32 can include:
Discrete Fourier transform is carried out to the sum of the sum of numerical value corresponding to each data frame in current sliding window mouth/quantity
Or discrete cosine transform；
DC component is removed, and obtains low frequency component and high fdrequency component by preset rules；
Judge whether the low frequency component and the high fdrequency component meet preset component size condition, and is tied according to judgement
Fruit determines whether that human body exists.
(it should be understood that similar with its in the way of the sum of number of computations) illustrates that human body is deposited by taking the sum of evaluation as an example below
Whether deterministic process: each temperature data in each data frame is split first, specifically: will be greater than reference value
The temperature data of (may be configured as environment temperature) is used as positive value number, using the temperature data no more than reference value as negative value number, so
Positive value number all in the data frame is added up afterwards, to obtain the sum of numerical value.When getting each data in sliding window
After the sum of corresponding numerical value of frame difference, the function in a temperature and time (sampling time of data frame) is just formed, then to this
Function carries out discrete Fourier transform (DFT) or discrete cosine transform (DCT), so that the fluctuation of the sum of temperature value be transformed to
Frequency domain, as shown in Figure 2.Since human body respiration concentrates on low frequency component the fluctuation of temperature radiation on frequency domain, and high frequency division
Measure it is less, so, can be to determine by judging whether meet preset component size condition to low frequency component and high fdrequency component
It is no with the presence of human body.
Specifically, low frequency component and high fdrequency component can be obtained according to following manner: according to the frequency experience being obtained ahead of time
Value determines the division points of low frequency component and high fdrequency component, and frequency empirical value is, for example, K*fmax, wherein K is coefficient, and with it is red
The characteristic and data sampling rate of outer array are related, may be, for example, 0.25,0.5,0.75, fmax be discrete Fourier transform or discrete
Maximum frequency values after cosine transform.
Specifically, it can judge whether the low frequency component and the high fdrequency component meet preset component according to following manner
Size condition: the amplitude of Frequency points all on low frequency component is added to obtain low frequency component value, by frequencies all in high fdrequency component
The amplitude of rate point is added to obtain high frequency component values, then judges whether low frequency component value is greater than high frequency component values, if so, really
Surely meet preset component size condition, and then determine with the presence of human body；It is on the contrary then determination be unsatisfactory for preset component size item
Part, and then determine and exist without human body.By taking Fig. 2 as an example, it is assumed that K takes 0.25, it is clear that the amplitude phase of all Frequency points on low frequency component
The sum added, much larger than the sum of the amplitude addition of Frequency points all in high fdrequency component, so can determine with the presence of human body.
About step S32, in another specific embodiment, human body can make temperature radiation have fluctuation in breathing, from
And influence the air on periphery.And common heat source does not have this characteristic, although also having fluctuation, this is the fluctuation of random noise,
Amplitude is relatively small.Based on this, step S32 can include:
The sum of the sum of numerical value corresponding to each data frame in current sliding window mouth/quantity is normalized, with
Obtain normalized value corresponding to each data frame；
Judge whether the normalized value corresponding to all data frames are respectively in current sliding window mouth meets fluctuating range condition,
And determine whether that human body exists according to judging result.
Specifically, following manner can be used, normalized is done to the sum of the numerical value of positive value number: M=S1/S2, wherein M is
Normalized value corresponding to the data frame, S1 are the sum of the numerical value of all positive value numbers in data frame, and S2 is all temperature in data frame
The sum of the numerical value of degree evidence.Certainly, in other examples, can also be normalized according to the sum of numerical value of the M=V1/V2 to positive value number
Processing, wherein V1 is the average value of all positive value numbers in data frame, and V2 is the average value of all temperature datas in data frame.Example
Such as, table 1 is to do 64 normalization obtained after normalized to the sum of the numerical value of 64 data frames in sliding window respectively
Value:
| 0.050262 | 0.050908 | 0.050921 | 0.050415 | 0.050546 | 0.050155 | 0.050469 | 0.050548 |
| 0.051193 | 0.051154 | 0.049323 | 0.051266 | 0.049813 | 0.051347 | 0.050991 | 0.051293 |
| 0.050653 | 0.050788 | 0.051025 | 0.051351 | 0.050796 | 0.051028 | 0.051017 | 0.049262 |
| 0.051502 | 0.051281 | 0.050670 | 0.050615 | 0.051924 | 0.050741 | 0.051282 | 0.052477 |
| 0.050196 | 0.051510 | 0.051689 | 0.051577 | 0.050183 | 0.049721 | 0.049547 | 0.051117 |
| 0.051679 | 0.073443 | 0.072277 | 0.050875 | 0.072813 | 0.050813 | 0.050792 | 0.050339 |
| 0.051906 | 0.050173 | 0.051066 | 0.051066 | 0.071516 | 0.071528 | 0.071351 | 0.070776 |
| 0.071722 | 0.072300 | 0.050129 | 0.072132 | 0.072344 | 0.051080 | 0.051080 | 0.071077 |
Table 1
Specifically, following manner can be used, normalized is done to the sum of the quantity of positive value number: M=A1/A2, wherein A1
For in data frame it is all positive value numbers the sum of quantity, A2 be data frame in all temperature datas the sum of quantity, for example, 64.
Specifically, following manner can be used to determine whether meeting fluctuating range condition: is getting current sliding window mouth
After the corresponding normalized value of interior each data frame difference, it is assumed that 64 data frames are shared in sliding window, then can obtain
Then 64 normalized values find out maximum normalized value and the smallest normalized value from this 64 normalized values, and count
The difference of maximum normalized value Yu the smallest normalized value is calculated, to obtain fluctuating range value, then judges the fluctuating range value
Whether it is greater than the amplitude threshold of setting, if so, thinking to meet fluctuating range condition, and then can determine with the presence of human body；Conversely,
If fluctuating range value is no more than the amplitude threshold of setting, then it is assumed that be unsatisfactory for fluctuating range condition, and then determination is deposited without human body
In.In conjunction with table 1, it is assumed that amplitude threshold 0.02, in sliding window in the corresponding normalized value of 64 data frames difference, most
Big normalized value is 0.073443, and the smallest normalized value is 0.049262, and the two subtracts each other fluctuating range value obtained and is
0.024181, it is greater than amplitude threshold, therefore can determine with the presence of human body.
In second alternative embodiment, illustrate first, for a certain infrared array, visual angle, point temperature sensing
The number of device and arrangement are determining, then the angle of radiation of its each temperature sensor just can determine, for example, for 8*8
Infrared array, it is assumed that upper downwards angle of visibility is 60 degree, and left and right visual angle is also 60 degree, then temperature sensor is upper and lower and left
LOOK RIGHT is respectively 7.5 degree (60 degree/8).And the radiation scope of each point sensor is also influenced by distance, that is, with installation position
Set correlation, it is assumed that distance is 1.5 meters, then the radiation scope of each temperature sensor are as follows: length is about 19.6 centimetre (1.5
Rice * sin7.5 degree)；Width is about 19.6 centimetres (1.5 meters of * sin7.5 degree), therefore can be according to infrared array temperature collected
Data may filter that the small articles such as teacup to determine the size of heat source, then by the identification to heat source size.It is static based on this
Detecting step S30 can determine whether that human body exists according to following manner:
It for each data frame in current sliding window mouth, carries out the following processing: using preset reference value to the number
It is split according to frame, and the temperature data for being greater than the reference value in the data frame is used as on the occasion of number, moreover, according to described
The coordinate information of positive value number determines the size of heat source in data frame, and whether within a preset range to judge the size of the heat source,
If so, determination meets heat source size condition；If not, it is determined that be unsatisfactory for heat source size condition；
According to the judging result of the heat source size condition of each data frame in current sliding window mouth, it is determined whether there is human body to deposit
In.
In this embodiment, after the installation site of infrared array and setting angle determine, due to human body head distance
The substantially fixation of the distance of infrared array, for example, 1.5 meters, and the diameter of human body head is also substantially fixation, about
For 22cm, so, in data frame detected, if it is positive value number there are four the temperature data put, and this four positive value numbers
Coordinate have continuity, can determine at this time with the presence of human body；If being only positive value number there are two the temperature data put, so that it may really
Determining heat source is small article, and then can determine that no human body exists.
In second alternative embodiment, illustrate first, due to common heat source (such as cup, notebook, projector
Deng) it is in a short time usually static, and for human body, it is the short time it is difficult to ensure that totally stationary, it will usually to have light
Micro- shaking.Based on this, static detection step S30 can determine whether that human body exists according to following manner:
The coordinate information of the maximum value of each data frame in current sliding window mouth is obtained respectively；
Judge whether the coordinate information of maximum value in each data frame in current sliding window mouth meets preset shift in position
Condition, and determine whether that human body exists according to judging result, wherein shift in position condition and the installation site of infrared array,
Setting angle is related, and needs to get by test after mounting.
In this embodiment, if the heat source in the radiation scope of infrared array is human body, detected each data
The coordinate information of maximum value, which has, in frame moves within narrow limits；If the heat source in the radiation scope of infrared array is common heat source, institute
The coordinate information of maximum value hardly changes in each data frame detected, therefore, can be by judging current sliding window mouth
Whether the coordinate information of the maximum value of interior each data frame meets preset shift in position condition, to determine whether that human body is deposited
In.
It is last it should be noted that, when by feature identification to determine that human body whether there is, due to the various aspects such as environment because
The influence of element, using single features carrying out identification in above-described embodiment, to will lead to accuracy rate lower.In order to improve the accurate of identification
Rate further determines that human body whether there is in combination with two or more feature identification method.It is embodied at one
In example, smallclothes heat source (the second alternative embodiment) is filtered out according to heat source size first, then judge whether the position of maximum value has
Move within narrow limits (third alternative embodiment), then judges whether the energy on frequency domain concentrates on low frequency component, and, judgement is
It is no to meet fluctuating range condition (the first alternative embodiment), it is just determined with the presence of human body, such people when all conditions all meet
The accuracy rate of body identification is higher.
On the basis of the above embodiments, further, after frame obtaining step S10, further includes:
Temperature difference judgment step S20: the maximum value and minimum value in current data frame are searched, and judges the maximum value and institute
Whether the difference for stating minimum value is less than first threshold, exists if so, determining without human body, and empty first buffer；If
It is no, then caching step S30.
In this step, after getting current data frame, in addition to being cached, maximum value can also therefrom be found out
And minimum value, it should be appreciated that maximum value can not be more than body temperature value, and minimum value is also impossible to be less than ambient temperature value, if looking into
The maximum value and minimum value found out are not inconsistent condition, then it is assumed that the data frame is invalid frame, is abandoned.When having found out most
After big value and minimum value, the difference of maximum value and minimum value can be calculated, and judge whether the difference is less than first threshold.
If the difference of the maxima and minima in current data frame is less than first threshold, illustrate the radiation of infrared array
Exist in range without heat source (including human body, hot water cup, notebook, projector etc.), is pure background, and then can determine no human body
In the presence of can also empty the first buffer at this time, that is, whether there is without using static detection step detection human body.It should be understood that sliding
Data frame in window is continuous recording data frame, because, in temperature difference judgment step S20, as long as judging a certain data
The difference of maxima and minima in frame is less than first threshold, will empty the first buffer, that is, historical data frame is abandoned,
Restart to cache.
If the difference of the maxima and minima in current data frame is not less than first threshold, illustrate infrared array
With the presence of heat source in radiation scope, but heat source is human body or common heat source (including hot water cup, notebook, projector on earth
Deng), it needs further to determine by static detection step S30.
In addition it should be noted that, determine exist without human body whether through the temperature difference, or identify by feature and determine nothing
Human body exists, also all should be by the first buffer empties in addition to exporting definitive result.The present invention also constructs a kind of based on infrared battle array
There are detection device, including infrared array and processor, the processors to execute stored calculating for the quasi- static human body of column
The step of realizing the above-mentioned quasi- static human body based on infrared array when machine program there are detection methods.
Further, the infrared array is the dot matrix infrared array of m*n；Alternatively, the infrared array is the dot matrix of 1*n
Infrared array, and the dot matrix infrared array of the 1*n acquires the temperature data of each point by rotary scanning；Wherein, m, n are big
In 1 natural number.
The present invention also constructs a kind of storage medium, is stored with computer program, and the computer program is held by processor
The step of realizing the above-mentioned quasi- static human body based on infrared array when row there are detection methods.
The foregoing is only a preferred embodiment of the present invention, is not intended to restrict the invention, for the skill of this field
For art personnel, the invention may be variously modified and varied.All within the spirits and principles of the present invention, made any bun
Change, equivalent replacement, improvement etc., should be included within scope of the presently claimed invention.
Claims (10)
1. there are detection methods for a kind of quasi- static human body based on infrared array characterized by comprising
Frame obtaining step: the temperature data of infrared array each point collected is obtained in real time, and forms data frame, moreover, by institute
Data frame is stated to be stored in the first buffer；
Static detection step: opening a sliding window, from the multiple data obtained in current sliding window mouth in first buffer
Frame, and feature identification is carried out to each data frame in current sliding window mouth, to determine whether that human body exists.
2. there are detection methods for the quasi- static human body according to claim 1 based on infrared array, which is characterized in that working as
Data frame in front slide window carries out feature identification, to determine whether that human body exists, comprising:
It for each data frame in current sliding window mouth, carries out the following processing: using preset reference value to the data frame
It is split, and the temperature data for being greater than the reference value in the data frame is used as on the occasion of number, moreover, calculating the data
The sum of the sum of numerical value of positive value number described in frame/quantity；
Determine whether that human body exists according to the sum of the sum of numerical value corresponding to data frame each in current sliding window mouth/quantity.
3. there are detection methods for the quasi- static human body according to claim 2 based on infrared array, which is characterized in that according to
The sum of the sum of numerical value corresponding to each data frame/quantity determines whether that human body exists in current sliding window mouth, comprising:
To the sum of the sum of numerical value corresponding to each data frame in current sliding window mouth/quantity carry out discrete Fourier transform or from
Dissipate cosine transform；
DC component is removed, and obtains low frequency component and high fdrequency component by preset rules；
Judge whether the low frequency component and the high fdrequency component meet preset component size condition, and true according to judging result
Whether determine with the presence of human body.
4. there are detection methods for the quasi- static human body according to claim 2 or 3 based on infrared array, which is characterized in that
Determine whether that human body exists according to the sum of the sum of numerical value corresponding to data frame each in current sliding window mouth/quantity, comprising:
The sum of the sum of numerical value corresponding to each data frame in current sliding window mouth/quantity is normalized, to obtain
Normalized value corresponding to each data frame；
Judge whether the normalized value corresponding to all data frames are respectively in current sliding window mouth meets fluctuating range condition, and root
It is judged that as a result determining whether that human body exists.
5. there are detection methods for the quasi- static human body according to claim 1 based on infrared array, which is characterized in that working as
Data frame in front slide window carries out feature identification, to determine whether that human body exists, comprising:
It for each data frame in current sliding window mouth, also carries out the following processing: using preset reference value to the data frame
It is split, and the temperature data for being greater than the reference value in the data frame is used as on the occasion of number, moreover, according to the data
The coordinate information of positive value number determines the size of heat source in frame, and whether within a preset range to judge the size of the heat source, if so,
Then determination meets heat source size condition；If not, it is determined that be unsatisfactory for heat source size condition；
According to the judging result of the heat source size condition of each data frame in current sliding window mouth, it is determined whether with the presence of human body.
6. there are detection methods for the quasi- static human body according to claim 1 based on infrared array, which is characterized in that working as
Data frame in front slide window carries out feature identification, to determine whether that human body exists, comprising:
The coordinate information of the maximum value of each data frame in current sliding window mouth is obtained respectively；
Judge whether the coordinate information of maximum value in each data frame in current sliding window mouth meets preset shift in position condition,
And determine whether that human body exists according to judging result.
7. there are detection methods for the quasi- static human body according to claim 1 based on infrared array, which is characterized in that in institute
After stating frame obtaining step, further includes:
Temperature difference judgment step: the maximum value and minimum value in current data frame are searched, and judges the maximum value and the minimum
Whether the difference of value is less than first threshold, exists if so, determining without human body, and empty first buffer；If it is not, then holding
The row static detection step.
8. there are detection devices, including infrared array and processor, feature to exist for a kind of quasi- static human body based on infrared array
In the processor realizes that claim 1-7 is described in any item when executing stored computer program and is based on infrared battle array
Quasi- static human body the step of there are detection methods of column.
9. there are detection devices for the quasi- static human body according to claim 8 based on infrared array, which is characterized in that described
Infrared array is the dot matrix infrared array of m*n；
Alternatively,
The infrared array is the dot matrix infrared array of 1*n, and the dot matrix infrared array of the 1*n is acquired by rotary scanning
The temperature data of each point；
Wherein, m, n are the natural number greater than 1.
10. a kind of storage medium, is stored with computer program, which is characterized in that the computer program is being executed by processor
The described in any item quasi- static human bodies based on infrared array of Shi Shixian claim 1-8 the step of there are detection methods.
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