JP2007292651A - Moving living being detector and detecting method - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To provide a moving living being detector for detecting precisely a moving living being such as a human body, without being affected by sunshine or the like. <P>SOLUTION: This moving living being detector is constituted of an infrared detecting element constituted to receive an infrared ray in each section from a detection area partitioned into the plurality of sections, and to output a detection signal of a level in response to each received light quantity, a temperature detecting part for acquiring a measured temperature value in the each section, based on the each detection signal, a control part for detecting the moving living being in the detection area, based on the measured temperature value in the each section, and an output part for issuing a living being detection alarm by control of the control part. The detector finds the center coordinate value corresponding to all the sections where a prescribed temperature or more of temperature is detected, acquires a time serial data within a fixed time range from a time serial data of the center coordinate value to find a frequency spectrum thereof, analyzes the frequency spectrum to detect the presence of regularity in a change of the time serial data, and determines the presence of the moving living being when irregular. <P>COPYRIGHT: (C)2008,JPO&INPIT

Description

  The present invention relates to a technology for detecting a temperature change in a detection region by detecting infrared rays emitted from an object with an infrared detection element and detecting a moving organism in the detection region.

There is an infrared light receiving type human body detection device that detects the presence of a human body by detecting a temperature difference between a human body and a background as an infrared energy amount difference using an infrared detection element such as a pyroelectric element. This human body detection device is configured to determine that a human body exists when an apparent temperature change occurs in a detection region from an infrared detection element (see, for example, Patent Document 1).
Japanese Patent Laid-Open No. 5-346994

In the conventional human body detection device, the presence or absence of a human body in the detection area is determined only by determining whether or not the amount of received infrared light received from the detection area exceeds a preset value. Even if a temperature change occurred, the human body was mistakenly detected.
In particular, conventional human body detection devices are easily affected by sunshine, and if the floor surface is warmed by the sunshine etc. and exceeds the specified temperature, it may be mistaken as a human body detected due to the temperature change, or by the sunshine above the specified temperature. When the heated curtain flickers, it was mistaken for the detection of the human body.
In addition, since the surface temperature of the human body may be detected lower than the human body temperature (about 36 ° C.) due to the influence of the worn clothes, etc., the criterion for determining the temperature change in the detection region is to increase the human body detection sensitivity. Although it is preferable to set the value (temperature level) low, there is a problem in that misidentification increases when the temperature level is low.

  Therefore, the present invention provides an infrared detection element configured to receive infrared rays for each section from a detection region divided into a plurality of sections and output a detection signal having an output level corresponding to each received light amount. A temperature detection unit that acquires a measured temperature value for each section based on each detection signal output from the infrared detection element, and a moving organism in the detection area based on the measured temperature value for each section from the temperature detection unit In the moving organism detection device constituted by the control unit to detect and the output unit that issues a biological detection alarm by the control of the control unit, based on the measured temperature value for each section output from the temperature detection unit, A zone where a temperature equal to or higher than the predetermined temperature is detected and the central coordinate values corresponding to all the zones higher than the predetermined temperature in the detection area are obtained, and the central coordinate value is stored in the storage device as time series data. From the time series data, obtain time series data in a certain time range and obtain its frequency spectrum, further analyze the frequency spectrum to detect whether the transition of the time series data has regularity, If there is no sex, this is a method for determining that a moving organism exists, and this apparatus having a function using this method.

According to the moving organism detection apparatus and the moving organism detection method of the present invention, a measurement temperature value is obtained for each section of a detection region divided into a plurality of sections using an infrared detection element (thermopile element), and a predetermined temperature is obtained. By analyzing the mobility of the central coordinate value of the section where the above temperature is detected, it is possible to detect the moving organism without being affected by sunlight or the like because the presence or absence of the moving organism such as a human body is determined.
Further, by analyzing the frequency spectrum with respect to the transition of the central coordinate value, it is determined whether there is regularity in the movement of the central coordinate value, and if there is no regularity, it is determined that there is a moving organism, Even if the temperature reference value (temperature level) detected from the detection region is lowered and the temperature value detected from the detection region is high sensitivity, misperception can be suppressed, and moving organisms can be detected with high accuracy.

  A preferred embodiment of the moving organism detection apparatus according to the present invention will be described with reference to FIGS.

FIG. 1 is a diagram illustrating a moving organism detection device according to the present invention.
As shown in FIG. 1A, the moving organism detection device 10 according to the present invention is set on the ceiling or the like of an area to be monitored (hereinafter referred to as a detection area), and can detect the surface temperature of an object by the amount of received infrared light. Measure the temperature in the detection area for each certain range (hereinafter referred to as a section) using a detection element (thermopile element), and determine the presence or absence of a moving organism such as a human body based on the measured temperature value for each section. When it is determined that a moving organism is present, an alarm is issued to monitor and guard the detection area.

  As shown in the block diagram of FIG. 1B, the moving organism detection device 10 according to the embodiment of the present invention includes a condenser lens 1, an optical filter 2 that transmits only infrared rays in a specific wavelength band, and a detection region. An infrared detection element 3 configured to output a detection signal for each section when receiving infrared light and outputting a detection signal having an output level corresponding to the amount of received light, and a detection signal output from the infrared detection element 3 An amplifying unit 4, a temperature detecting unit 5 connected to the amplifying unit 4, a control unit 6 having as input a measured temperature value output from the temperature detecting unit 5 for each section, and the control unit And an output unit 7 that issues an alarm by the control of 6.

The infrared detection element 3 is configured to receive infrared light for each section from a detection region divided into a plurality of sections and output a detection signal of an output level corresponding to each received light amount for each section. . For example, one detection element configured to output a detection signal corresponding to one section, or a section that the detection element detects by controlling the detection element using a motor, etc. According to the means, one detection element can be used to output detection signals for a plurality of sections in the detection area for each section, and a detection signal for each section is output.
The temperature detection unit 5 measures the surface temperature of the object in the detection area divided into a plurality of sections based on the detection signal from the infrared detection element 3, and acquires the measured temperature value for each section. be able to.
Further, the control unit 6 obtains the measured temperature value for each section output from the temperature detection unit 5, determines the presence or absence of the moving organism in the detection region based on the temperature value, and determines that the moving organism exists. At this time, the output unit 7 is controlled to issue an alarm.

In the moving organism detection device 10 according to the present invention, the measurement temperature value for each section output from the temperature detection unit 5 is sequentially input to the control unit 6, and the control unit 6 is based on the measurement temperature value sequentially input. Each time, a section where a temperature equal to or higher than a predetermined temperature is detected is detected, and central coordinate values corresponding to all the sections equal to or higher than the predetermined temperature in the detection area are obtained.
Then, the central coordinate value is stored in the storage device as time series data, and from the time series data, time series data in a certain time range is obtained to obtain a frequency spectrum thereof, and the frequency spectrum is analyzed to analyze the time series data. It is detected whether there is regularity in the transition of the series data. If there is no regularity, it is determined that there is a moving organism.

  With reference to FIGS. 2 to 6, the moving organism detection method according to the first embodiment of the present invention will be described.

In the first embodiment, as shown in FIG. 2, a movement using an infrared detection element (x = 1 to X, X = 8) having a one-dimensional configuration in which eight infrared detection elements (thermopile elements) are arranged in a row. A living organism is detected by the organism detection device 10.
In this embodiment, the detection signal for each section is output by the eight infrared detection elements [8 × 1] so that the detection area is divided into eight sections [8 × 1]. That is, the coordinate value x of each detection element corresponds to the coordinate value of each section in the detection region.
A detection region at the current time t _n is received by an infrared detection element (x = 1 to X) that receives infrared rays from a detection region divided into a plurality of sections and outputs a detection signal having an output level corresponding to the received light amount. The temperature of each section is measured, it is determined whether or not the measured temperature value in each of the eight sensing elements is equal to or higher than a predetermined temperature (TPL), and the sensing element in which the temperature equal to or higher than the predetermined temperature is detected The coordinate value sum (sum_x) and the number of sensing elements (count_x) in which a temperature equal to or higher than a predetermined temperature is calculated, and the center coordinate value (average_x (t _n ) of the sensing elements in which a temperature equal to or higher than the predetermined temperature is detected. ) = Sum_x / count_x).
The coordinate value of each detection element is defined as “x = 1, 2, 3, 4, 5, 6, 7, 8”, the minimum coordinate value (initial value) of the detection element is “1”, and the maximum coordinate value is “X = 8”.

For example, as shown in FIG. 2A, the detection element determined that the measured temperature value t _n [x] at the current time t _n is equal to or higher than a predetermined temperature is only the detection element having the coordinate value 3 (FIG. 2). The center coordinate value (average_x (t _n ) = sum_x / count_x) is obtained as “3”. That is, the center coordinate value of all the sections in which the temperature equal to or higher than the predetermined temperature is detected in the detection area divided into a plurality of sections [8 × 1] is obtained as “3”.
Further, as shown in FIG. 2B, the detection element determined that the measured temperature value t _n [x] at the current time t _n is equal to or higher than the predetermined temperature is the detection element with the coordinate value 3 and the detection with the coordinate value 4. In the case of an element (see the dot area in the figure), the center coordinate value (average_x (t _n ) = sum_x / count_x) is obtained as “3.5”. That is, the central coordinate value of all the sections in which the temperature equal to or higher than the predetermined temperature is detected in the detection area divided into a plurality of sections [8 × 1] is obtained as “3.5”.

With reference to the flowcharts of FIG. 3 and FIG. 5, a moving organism detection method according to the first embodiment will be described.
The control unit 6 obtains the center coordinate value of the detection element in which the temperature above the predetermined temperature is detected based on the output signal (measured temperature value for each detection element) sequentially input from the temperature detection unit 5 at regular intervals. The frequency spectrum is analyzed using the time-series values obtained up to the present time (time-series data of the center coordinate value), and the presence / absence of the moving organism is determined.
In this embodiment, since the coordinate value of each detection element corresponds to the coordinate value of each section of the detection area, by obtaining the coordinate value of the detection element in which a temperature equal to or higher than the predetermined temperature is obtained, The coordinate value (position) of the section where the temperature is detected is obtained. That is, the time series transition of the temperature change generated in each section of the detection region can be obtained from the coordinate value for each detection element and the measured temperature value.
For each sensing element, the measured temperature value t _n [x] at the current time t _n is acquired and temperature is determined (TPL detection), and the center coordinate value of the sensing element in which a temperature equal to or higher than a predetermined temperature (TPL) is detected is obtained. In determining, all the detection elements are subjected to temperature determination by repeating temperature determination while shifting one detection element to be subjected to temperature determination (TPL detection) one by one, and predetermined based on a measured temperature value for each detection element. The center coordinate value of the sensing element in which a temperature equal to or higher than the temperature is detected is acquired.

In this embodiment, each variable is first initialized as shown in FIG. That is, the coordinate value sum (sum_x) of the sensing elements in which a temperature equal to or higher than the predetermined temperature is detected and the number of sensing elements (count_x) in which the temperature equal to or higher than the predetermined temperature is reset (sum_x = 0, count_x = 0). ) Further, the coordinate value of the sensing element that is the target of temperature determination is set to “1” (step S1).
Further, it is determined whether or not the coordinate value x of the sensing element to be temperature-determined exceeds the maximum coordinate value (X = 8) (step S2). If not, the measured temperature value of the sensing element is equal to or higher than a predetermined temperature. It is determined whether or not there is (step S3).

When the measured temperature value t _n [x] at the current time t _n is equal to or higher than a predetermined temperature (TPL) for the detection element with the coordinate value (x) (YES), the coordinate value is set to “a temperature higher than the predetermined temperature is detected. Is added to the “total coordinate value of the sensing elements (sum_x)” (step S4), and 1 is further added to the “number of sensing elements in which a temperature equal to or higher than the predetermined temperature (count_x)” is detected (step S5). By adding 1 to the coordinate value of the detection element, one detection element to be subjected to temperature determination is shifted to the next (step S6), and the process returns to step S2.
On the other hand, when the measured temperature value t _n [x] at the current time t _n is not equal to or higher than the predetermined temperature (TPL) (NO), one detection element to be subjected to temperature determination is shifted to the next without passing through steps S4 and S5. (Step S6), and return to Step S2.

The temperature determination is repeated while shifting the detection elements to be subjected to temperature determination one by one, and the temperature determination is completed for all the detection elements (x = 1 to X, X = 8). When the coordinate value x of exceeds the maximum coordinate value (X = 8), “the total coordinate value of the sensing elements in which the temperature equal to or higher than the predetermined temperature is detected (sum_x)” and “the temperature higher than the predetermined temperature is detected From the “number of sensing elements (count_x)”, the central coordinate value (average_x (t _n ) = sum_x / count_x) of the sensing elements in which a temperature _{equal to} or higher than the predetermined temperature is detected at the current time t _n is obtained (step S7).

Then, the steps S1 to S7 are repeated at regular intervals, and the central coordinate values are sequentially stored, thereby obtaining time series data of the central coordinate values. The time series data (average_x (t), time series data of the center coordinate values from a certain time range of the time series data, that is, a past time (t _{n− (N−1)} ) to the current time (t _n ). t _{n− (N−1)} ≦ t ≦ t _n ), a frequency spectrum is obtained (step S8), and the presence or absence of a moving organism is determined by analyzing the frequency spectrum (FIGS. 4 and 5). reference). Here, _N in “t _{n− (N−1)} ” represents the number of time series data used for obtaining a frequency spectrum.

In this embodiment, frequency spectrum analysis by Fourier transform is applied based on time-series data of center coordinate values in a certain fixed time range, and movement of center coordinate values of sensing elements in which a temperature equal to or higher than a predetermined temperature is detected. Analyze sex.
That is, the discrete Fourier transform is performed in a certain time range from “time (t _{n− (N−1)} )” going back a certain time before the current time to “current time (t _n )”.
Then, based on the time series data (average_x (t), t _{n− (N−1)} ≦ t ≦ t _n ) of the center coordinate value of the sensing element in which a temperature equal to or higher than the predetermined temperature is detected, the frequency spectrum Fx (m ) (M = 0 to M, M ≦ N) is calculated, and the frequency spectrum Fx (m) (m = 0 to M, M ≦ N) is analyzed so that the movement of the central coordinate value is regular. If there is no regularity in movement, it is determined that a moving organism exists.

The frequency spectrum Fx (m) is obtained by the following formula. Here, i is an imaginary unit, π is a pi, m is a discrete frequency sample number, k is a time-series sample number,
In order to simplify the notation, the time-series data (average_x (t), t _{n− (N−1)} ≦ t ≦ t _n ) of the center coordinate values is changed to (average_x (n), 0 ≦ n ≦ (N−1). ).

FIG. 4 is a diagram showing time-series data of center coordinate values in a certain time range and a frequency spectrum by Fourier transform.
FIG. 4A shows a detection element in which a temperature within a certain time range from a certain past time to the current time is detected based on a measured temperature value for each detection element sequentially input from the temperature detection unit 5. This shows the time-series data (average_x (t), t _{n− (N−1)} ≦ t ≦ t _n ) of the center coordinate value of FIG. is there.
FIG. 4B shows data obtained by obtaining the frequency spectrum Fx (m) by Fourier transform of the time series data shown in FIG. 4A, and there is no regularity in the movement of the center coordinate value. The number of Fx (m) continuously exceeding the spectrum intensity determination reference value S, that is, the discrete band spectrum width value B is larger than the regularity determination reference value T. That is, a band spectrum longer than the regularity determination reference value T is detected.
Note that the spectrum intensity determination reference value S and the regularity determination reference value T used for the analysis of the frequency spectrum are set to appropriate values in advance according to the environment and conditions for detecting the moving organism.

In frequency spectrum analysis by Fourier transform, variables are first initialized as shown in FIG. That is, the discrete band spectral width value B and the discrete frequency sample number m (m = 0 to M, M ≦ N) are reset (m = 0, B = 0) (step S11).
In addition, it is determined whether the discrete frequency sample number (m) to be subjected to frequency spectrum analysis does not exceed the maximum value (M) (step S12). If not, the frequency spectrum Fx (m) of the sample is determined as the spectrum intensity. It is determined whether or not it is equal to or greater than the reference value S (step S13).
If the frequency spectrum does not exceed the spectral intensity determination reference value S, the discrete band vector width value B is set to 0 (step S14), and the process proceeds to the next sample (step S17).

On the other hand, when the frequency spectrum Fx (m) is equal to or greater than the spectral intensity determination reference value S, 1 is added to the discrete band spectral width value B (step S15), and the discrete band spectral width value B is determined from the regularity determination reference value T. Is also larger (step S16).
If it is equal to or greater than the regularity determination reference value T, it is determined that there is no regularity in the movement of the central coordinate value, and it is determined that a moving organism such as a human body exists (manned) (step S18).
If it is less than the regularity determination reference value T, the process proceeds to the next sample (step S17).

In the analysis of the frequency spectrum shown in FIG. 5, in the determination of the discrete band spectral width value B (step S16), until the discrete band spectral width value B becomes equal to or greater than the regularity determination reference value T (until determined to be manned), Steps S12 to S17 are repeated.
If the sample number m becomes larger than the total number M of samples in step S12, that is, if all the samples are analyzed, there is no discrete band spectral width value B equal to or greater than the regularity determination reference value T, and the center coordinate value is moved. Even if a temperature range equal to or higher than a predetermined temperature occurs in the detection region, it is determined that it is not caused by a moving organism such as a human body, and it is determined that no moving organism exists (unmanned) (step S19). .

,
FIG. 6 is a graph showing time-series data and frequency spectrum data of the center coordinate value of a sensing element in which a temperature equal to or higher than a predetermined temperature is detected in an environment not caused by a moving organism.
When the heat source is not caused by a moving organism and has no mobility, as shown in FIG. 6 (a), the center coordinate value of the detection element in which the temperature equal to or higher than the predetermined temperature is detected does not move, and the time series data is When the frequency spectrum is analyzed by Fourier transform, a discrete band spectrum width value B greater than the regularity determination reference value T is not detected.
In addition, when the heat source moves slowly and regularly like a floor surface warmed by sunlight, the center coordinate value of the sensing element in which a temperature equal to or higher than the predetermined temperature is detected slowly as shown in FIG. 6B. When moving with regularity and analyzing the frequency spectrum by Fourier transforming the time series data, the discrete band spectral width value B greater than the regularity determination reference value T is not detected.
Further, when the heat source moves with regularity (periodicity) like a curtain heated by sunlight, the center coordinates of the sensing element in which a temperature equal to or higher than a predetermined temperature is detected as shown in FIG. When the values move with regularity and the frequency spectrum is analyzed by Fourier transforming the time series data, the discrete band spectral width B greater than the regularity determination reference value T is not detected.

  On the other hand, when the movement is caused by the presence of a moving organism having no regularity, as shown in FIG. 4, there is no regularity in the movement of the center coordinate value of the sensing element in which a temperature equal to or higher than a predetermined temperature is detected. When the frequency spectrum is analyzed by Fourier transform, a discrete band spectrum width value B greater than the regularity determination reference value T is detected.

As described above, in this embodiment, based on the coordinate value of each detection element and its measured temperature value, the temperature of the detection area is measured for each section, and based on the measured temperature value for each section, the detection area It detects moving organisms.
That is, in this embodiment, a measured temperature value is acquired for each sensing element, it is determined whether or not a temperature equal to or higher than a predetermined temperature is detected, and a center coordinate value of the sensing element where a temperature equal to or higher than the predetermined temperature is detected is obtained. Thus, the measured temperature value for each section in the detection area is acquired to determine whether the temperature is equal to or higher than a predetermined temperature, and the central coordinate values corresponding to all the sections where the temperature equal to or higher than the predetermined temperature is detected are determined. Ask.
Then, the central coordinate value is stored as time series data, and from this time series data, time series data in a certain fixed time range is obtained and its frequency spectrum is analyzed, and the transition of the time series data has regularity. Whether or not is detected. And when there is no regularity, it determines with a moving organism existing.

  Next, with reference to FIG.7 and FIG.8, the moving organism detection method by 2nd Example of this invention is demonstrated.

In the second embodiment, as shown in FIG. 7, an infrared detection element (x = 1 to X, y = 1) having a two-dimensional configuration (x, y) in which eight infrared detection elements (thermopile elements) are arranged in eight rows. The moving organism is detected by the moving organism detection device 10 using ~ Y).
In this embodiment, 64 infrared detection elements [8 × 8] output detection signals for each section so that the detection area is divided into 64 sections [8 × 8]. That is, the coordinate value of each detection element corresponds to the coordinate value of each section of the detection region.
And by the infrared detection element (x = 1-X, y = 1-Y,) which receives the infrared rays from the detection area divided into a plurality of sections, and outputs the detection signal of the output level according to the amount of received light The temperature of the detection region is measured for each section, it is determined whether or not the measured temperature value in each of the 64 detection elements is equal to or higher than a predetermined temperature (TPL), and the coordinates of the detection element where the temperature equal to or higher than the predetermined temperature is detected The sum of values (sum_x, sum_y) and the number of sensing elements (count_x, count_y) in which a temperature equal to or higher than a predetermined temperature is calculated for each x coordinate value and y coordinate value, and a temperature equal to or higher than the predetermined temperature is detected. A center coordinate value (average_x (t _n ) = sum_x / count_x) in the x coordinate and a center coordinate value (average_y (t _n ) = sum_y / count_y) in the y coordinate are obtained.
The x-coordinate value of each sensing element is defined as “x = 1, 2, 3, 4, 5, 6, 7, 8”, and the y-coordinate value is defined as “y = 1, 2, 3, 4, 5 , 6, 7, 8 ”, each minimum coordinate value (initial value) is“ 1 ”, and each maximum coordinate value X, Y is“ 8 ”.

For example, as shown in FIG. 7 (a), the detection element determined that the measured temperature value t _n [x, y] at the current time t _n is equal to or higher than a predetermined temperature is represented by coordinate value (x, y) = (3 3), the center coordinate value in the x coordinate (average_x (t _n ) = sum_x / count_x) is “3”, and the center coordinate value in the y coordinate (average_y (t _n ) = sum_y / count_y) Is calculated as “3”. That is, in the detection area divided into a plurality of sections [8 × 8], the center coordinate value of all sections in which a temperature equal to or higher than the predetermined temperature is detected is “3” as the center coordinate value in the x coordinate, and the center in the y coordinate. The coordinate value is obtained as “3”.
Further, as shown in FIG. 7B, the detection element determined that the measured temperature value t _n [x, y] at the current time t _n is equal to or higher than a predetermined temperature is represented by coordinate value (3, 3) ≦ (x , Y) ≦ (4,3), the center coordinate value (average_x (t _n ) = sum_x / count_x) in the x coordinate is “3.5”, and the center coordinate value in the y coordinate (average_y (t _n) ) = Sum_y / count_y) is obtained as “3”. That is, the center coordinate value of all the sections in which the temperature equal to or higher than the predetermined temperature is detected in the detection area divided into a plurality of sections [8 × 8] is “3” in the x coordinate, and the center coordinates in the y coordinate. The value is determined as “3.5”.

In this embodiment, as in the first embodiment, the controller 6 detects a temperature equal to or higher than a predetermined temperature based on an output signal (measured temperature value for each sensing element) sequentially input from the temperature detector 5. The center coordinate value of the detected element is obtained, and each center coordinate value in a certain time range is acquired and the frequency spectrum is analyzed to determine the presence or absence of a moving organism.
In this embodiment as well, as in the first embodiment, the coordinate value of each detection element corresponds to the coordinate value of each section of the detection region, so that the coordinate value of the detection element in which a temperature equal to or higher than a predetermined temperature is detected is obtained. Thus, the coordinate value (position) of the section where the temperature above the predetermined temperature is detected in the detection area is obtained, and the temperature change generated in each section of the detection area from the coordinate value of each detection element and its measured temperature value Can be obtained.
Note that the temperature determination (TPL detection) of the measured temperature value (t _n [x, y]) acquired for each sensing element is performed, and the center coordinate value of the sensing element in which a temperature equal to or higher than the predetermined temperature (TPL) is obtained is determined. The temperature determination is repeated by repeating the temperature determination while shifting the detection elements to be subjected to temperature determination (TPL detection) one by one, and the temperature of each detection element is determined based on the measured temperature value for each detection element. The center coordinate value of the sensing element where the temperature is detected is acquired.

In this embodiment, each variable is first initialized as shown in FIG. That is, the coordinate value sum (sum_x, sum_y) of the sensing elements in which the temperature equal to or higher than the predetermined temperature is detected and the number of sensing elements (count_x, count_y) in which the temperature equal to or higher than the predetermined temperature is detected are reset (sum_x = 0). , Sum_y = 0, count_x = 0, count_y = 0), and further, the coordinate value (x, y) of the sensing element to be subjected to temperature determination is set to (1, 1) (step S21).
In addition, it is determined whether the x coordinate value of the sensing element (x, y) that is the target of temperature determination does not exceed the maximum coordinate value (X = 8), and the y coordinate value does not exceed the maximum coordinate value (Y = 8). If neither exceeds (step S22, S23), it is determined whether the measured temperature value of the sensing element is equal to or higher than a predetermined temperature (step S24).

For the sensing element with the coordinate value (x, y), when the measured temperature value t _n [x, y] at the current time t _n is equal to or higher than a predetermined temperature (TPL) (YES), the x coordinate value of the sensing element is expressed as “ In addition to adding to the x-coordinate value sum (sum_x) of sensing elements in which a temperature equal to or higher than a predetermined temperature is detected, the y-coordinate value is added to “summing y-coordinate values of sensing elements above a predetermined temperature (sum_y)” (step S25) Further, 1 is added to each of “the number of sensing elements above a predetermined temperature (count_x and count_y)” (step S26), and then 1 is added to the x-coordinate value to move one sensing element to the next. (Step S27), the process returns to Step S23, and Steps S24 to S27 are repeated.
On the other hand, when the measured temperature value t _n [x, y] at the current time t _n is not equal to or higher than the predetermined temperature (TPL) (NO), one detection element is shifted to the next without passing through steps S25 and S26 (step S27). ), Returning to step S23, the steps S24 to S27 are repeated.
If the x coordinate value exceeds the maximum coordinate value (X = 8) in the determination of step S23, 1 is added to the y coordinate value, and the x coordinate value is set to the minimum coordinate value (initial value) “1”. (Step S28), the process returns to step S22, and steps S23 to S28 are repeated.

The temperature determination is repeated while shifting the detection elements one by one to complete the temperature determination for all the detection elements (x = 1 to 8, y = 1 to 8), and the y-coordinate value of the detection element in the determination of step 22 Exceeds the maximum coordinate value (Y = 8), “the total x coordinate value (sum_x) and y coordinate value (sum_y) of the sensing elements in which a temperature equal to or higher than a predetermined temperature is detected”, From the number of sensing elements in which the temperature is detected (count_x and count_y), the center coordinate value (average_x (t _n ) = sum_x / count_x) of the x-coordinate of the sensing element in which a temperature equal to or higher than a predetermined temperature is detected, y A center coordinate value (average_y (t _n ) = sum_y / count_y) in coordinates is obtained (step S29).

Then, by repeating the steps S21 to S29 repeatedly at regular intervals and storing the center coordinate value sequentially, the time-series data of the center coordinate value in the x coordinate and the center coordinate value in the y coordinate. Time series data. Then, the time series data (average_x (t), t _{n− (N} ) of the central coordinate value in the x coordinate in a certain time range from the past time (t _{n− (N−1)} ) to the current time (t _n ). ₋₁₎ ≦ t ≦ t _n ) and time series data (average_y (t), t _{n− (N−1)} ≦ t ≦ t _n ) of the center coordinate values in the y coordinate, and the respective frequency spectra are obtained. It is determined (step S30), and the presence or absence of a moving organism is determined by analyzing each frequency spectrum for each x-coordinate and each y-coordinate.

In this embodiment, time series data (average_x (t), t _{n− (N−1)} ≦ t ≦ t _n ) in a certain time range of the center coordinate value in the x coordinate and a certain time of the center coordinate value in the y coordinate. Based on the time-series data of the range (average_y (t), t _{n− (N−1)} ≦ t ≦ t _n ), the frequency spectrum analysis by Fourier transform is applied, respectively, and the center of the sensing element above the predetermined temperature Analyzes the mobility of coordinate values.
That is, for each of the time series data of the x-coordinate and the y-coordinate, a certain time from “time (t _{n− (N−1)} )” going back a certain time before the current time to “current time (t _n )”. Perform a discrete Fourier transform on the range.
Based on the time series data (average_x (t), t _{n− (N−1)} ≦ t ≦ t _n ) of the center coordinate value in the x coordinate of the sensing element in which the temperature equal to or higher than the predetermined temperature is detected, M The frequency spectrum Fx (m) of the sensor element is calculated, and time series data (average_y (t), t _{n− (N−1)} ≦ t of the center coordinate value in the y coordinate of the sensing element in which a temperature equal to or higher than a predetermined temperature is detected. Based on ≦ t _n ), M frequency spectra Fy (m) are calculated, and by analyzing these frequency spectra Fx (m) and Fy (m), the movement of the central coordinate value has regularity. It is determined whether or not there is a moving organism when there is no regularity in movement.

In addition, the frequency spectrum Fx (m) in the x coordinate and the frequency spectrum Fy (m) in the y coordinate are obtained by the following mathematical formula. Here, i represents an imaginary unit, π represents a pi, m represents a discrete frequency sample number, and k represents a time series sample number. For simplification of the notation, time series data of the center coordinate value in the x coordinate ( average_x (t), t _{n− (N−1)} ≦ t ≦ t _n ) is expressed as (average_x (n), 0 ≦ n ≦ (N−1)), and time series data of the center coordinate value in the y coordinate ( average_y _(t), t _n- the _{(n-1) ≦ t ≦} t n) (average_y (n), represents a 0 ≦ n ≦ (n-1 )).

Similar to the analysis of the frequency vector according to the first embodiment (see FIGS. 4 and 5), the analysis of the frequency spectrum at the x coordinate and the analysis of the frequency spectrum at the y coordinate are performed, and either the x coordinate or the y coordinate is performed. Alternatively, in the analysis of both frequency spectra, if there is a discrete band spectral width value B equal to or greater than the regularity determination reference value T, it is determined that there is no regularity in the movement of the center coordinate value of the sensing element that is equal to or higher than the predetermined temperature. It is determined that a moving organism such as a human body exists (manned).
In any frequency spectrum analysis, when there is no discrete band spectral width value B equal to or greater than the regularity determination reference value T, the movement of the center coordinate value of the sensing element that is equal to or higher than the predetermined temperature is regular. It is determined that even if a temperature range equal to or higher than a predetermined temperature occurs in the detection region, it is determined that it is not caused by a moving organism such as a human body, and it is determined that no moving organism exists (unmanned).

It is a block diagram which shows the structure of a moving organism detection apparatus. It is a figure which shows the structure of the infrared rays detection element (thermopile element) in the moving organism detection apparatus by 1st Example of this invention. It is a flowchart which shows the acquisition process of the center coordinate value of the detection element more than predetermined temperature by 1st Example. It is a figure explaining a frequency spectrum analysis. It is a flowchart which shows the analysis method of a frequency spectrum. It is a figure explaining the frequency spectrum analysis in the environment which does not originate in a moving organism. It is a figure which shows the structure of the infrared rays detection element (thermopile element) in the moving organism detection apparatus by 2nd Example of this invention. It is a flowchart which shows the acquisition process of the center coordinate value of the detection element more than predetermined temperature by 2nd Example of this invention.

Explanation of symbols

1 Condensing lens.
DESCRIPTION OF SYMBOLS 2 Optical filter 3 Infrared detector 4 Amplification part 5 Temperature detection part 6 Control part 7 Output part 10 Mobile organism detection apparatus

Claims (3)

An infrared detection element configured to receive infrared rays for each section from a detection area divided into a plurality of sections and output a detection signal of an output level corresponding to each received light amount, and output from the infrared detection element A temperature detection unit that acquires a measured temperature value for each section based on each detected signal, and a control unit that detects a moving organism in the detection region based on the measured temperature value for each section from the temperature detection unit, In the moving organism detection device configured with an output unit that issues an organism detection alarm under the control of the control unit,
Based on the measured temperature value for each section output from the temperature detection unit, the section where the temperature equal to or higher than the predetermined temperature is detected, and the center coordinate values corresponding to all the sections higher than the predetermined temperature in the detection area are obtained. The central coordinate value is stored in the storage device as time series data, and from the time series data, time series data in a certain time range is obtained to obtain the frequency spectrum,
Furthermore, a moving organism detection apparatus characterized by analyzing whether or not the transition of the time series data has regularity by analyzing the frequency spectrum, and determining that there is a moving organism if there is no regularity. In a method of detecting a moving organism in a detection area based on a measured temperature value for each section of a detection area divided into a plurality of sections,
Obtaining a measured temperature value for each section of the detection region, determining whether or not a predetermined temperature or higher is detected, and obtaining center coordinate values corresponding to all sections in which a temperature equal to or higher than the predetermined temperature is detected; ,
The central coordinate value calculated by the above process is stored as time-series data, and from this time-series data, time-series data in a certain time range is acquired, and it is detected whether or not the transition of the time-series data is regular. If there is no regularity, the step of determining that a moving organism exists is
A moving organism detection method characterized by determining whether or not a moving organism exists in a detection region.   In the process of detecting whether or not the transition of the time series data has regularity, time series data in a certain time range is acquired from the time series data to detect whether or not there is regularity, and the frequency spectrum is obtained. 3. The mobile organism according to claim 2, wherein after the calculation, it is determined that there is no regularity in transition of the time-series data when a band wider than a predetermined band exists in the calculated frequency spectrum. Detection method.

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