JP2012155918A - Lighting control system - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide a lighting control system that can enhance the accuracy of automatic detection of a human irrespective of the presence or absence of a periodically moving object within a predetermined range imaged by imaging means.SOLUTION: A lighting control system has lighting equipment 5, an image sensor 1 having imaging means for imaging a predetermined range, and a controller 2 for controlling the lighting equipment 5 on the basis of the existence or non-existence of a human body within the predetermined range. The controller 2 determines an object repetitively appearing in a differential image group of respective images obtained by the image sensor 1 during plural periods as a periodical motion object which makes a periodical motion and does not determine as a human. After the object repetitively appearing in the differential image group is determined as the periodical motion object, the existence or non-existence of a human body within the predetermined range is determined on the basis of a differential image I30 of the images obtained by the image sensor 1.

Description

  The present invention relates to a lighting control system.

  2. Description of the Related Art Conventionally, an illumination system (illumination control system) that controls blinking and dimming of a luminaire according to the presence or absence of a human body in an illumination space is known (for example, see Patent Document 1).

  As illustrated in FIG. 10, the illumination system disclosed in Patent Literature 1 includes a plurality of lighting fixtures 30 and an imaging device 31 that sequentially captures an illumination space in time series and outputs image data. In addition, the illumination system includes a determination device 32 that determines the presence / absence of a human body in the illumination space based on the image data output from the imaging device 31, and a plurality of lighting fixtures 30 according to the presence / absence of the human body in the illumination space. And an illumination control device 33 that controls blinking and dimming.

  The imaging device 31 includes a solid-state imaging device such as a CCD or CMOS, an optical lens such as a wide-angle lens or a fisheye lens, and a signal processing circuit.

  The determination device 32 performs first motion data for canceling from the image data output from the imaging device 31 (an object other than a human body (for example, swinging in a horizontal plane when viewed from the ceiling side). A setting unit 34 for setting image data of a fan or the like) and a display unit 35 for displaying the image data output from the imaging device 31. The display unit 35 is configured by a liquid crystal display having a touch panel function.

  The setting unit 34 displays the above-described image data displayed on the display unit 35 when the user traces around the moving object other than the human body while applying pressure with a finger or a touch pen in the image data displayed on the display unit 35. Is set as the first texture data.

  In addition, the determination device 32 is based on the second texture data generated by performing a difference operation on the image data sequentially output in time series from the imaging device 31 and the first texture data set by the setting unit 34. To determine the presence or absence of a human body in the lighting space.

  Conventionally, an air conditioner to which a human body detection technique is applied has been proposed (see, for example, Patent Document 2).

  As shown in FIG. 11, the air conditioner disclosed in Patent Document 2 includes an imaging unit 36 that images a room, and a reference image storage unit 37 that stores a reference image acquired by the imaging unit 36. In addition, the air conditioner generates a difference image by calculating a pixel value for each pixel between the image (input image) acquired by the imaging unit 36 and the reference image stored in the reference image storage unit 37. And a binarization unit 39 that binarizes each pixel value of the difference image generated by the difference calculation unit 38 with a predetermined threshold L1 to generate a binary image.

  In addition, the air conditioner described above includes an addition operation unit 40 that accumulates and adds pixel values for each pixel between a plurality of binary images generated by the binarization unit 39, and an addition operation unit 40. And a mask image generation unit 41 that generates a mask image by binarizing each pixel value of the added image generated by the above-described method using a predetermined threshold value L2. Here, the above-described air conditioner uses a periodic operation object (for example, a periodic operation object) that periodically operates a set of pixels in which the pixel value of the addition image generated by the addition calculation unit 40 is equal to or greater than a predetermined threshold L2. Judged as an electric fan.

  Further, the above-described air conditioner performs mask processing on the binary image generated by the binarization unit 39 using the mask image generated by the mask image generation unit 41, and a part other than the human body (here, A periodic operation object) includes a mask calculation unit 42 that generates an image on which mask processing is performed. Furthermore, the above-described air conditioner has a human body recognition unit 43 that determines the presence / absence and position of a human body based on the image generated by the mask calculation unit 42. The above-described air conditioner controls an air conditioner (not shown) based on the presence / absence information of the human body output from the human body recognition unit 43 and the information on the position of the human body.

JP 2009-266501 A JP 2000-172827 A

  By the way, in the illumination system having the configuration shown in FIG. 10, the user needs to specify a periodically moving object in the image data displayed on the display unit 35 (the setting unit 34 needs to recognize the periodically moving object). Therefore, it takes time for the setting unit 34 to set the first texture data.

  Further, the air conditioner having the configuration shown in FIG. 11 determines a set of pixels in which the pixel value of the addition image generated by the addition calculation unit 40 is equal to or greater than the predetermined threshold value L2 as a periodic operation object. However, it is possible to save time and effort for the air conditioner to recognize the periodically moving object. Moreover, this air conditioner can suppress erroneous detection of a periodically moving object as a human body by performing mask processing on a binary image using the mask image by the mask calculation unit 42. Therefore, it is conceivable to apply such air conditioner technology to the above-described lighting system.

  However, in such an illumination system, a set of pixels in which the pixel value of the addition image generated by the addition calculation unit 40 is equal to or greater than the predetermined threshold L2 is determined as a periodically moving object. When moving violently at a place, there is a possibility that this human body is erroneously determined to be a periodically moving object.

  The present invention has been made in view of the above reasons, and its purpose is to automatically improve human body detection accuracy regardless of the presence or absence of a periodically moving object within a predetermined range imaged by an imaging means. It is to provide a possible lighting control system.

  The lighting control system of the present invention includes a lighting fixture, an image sensor including an imaging unit that images a predetermined range, and a control unit that controls the lighting fixture based on the presence or absence of a human body within the predetermined range, The control unit determines that an object that repeatedly appears in the difference image group of each image acquired by the image sensor in a plurality of periods as a periodic motion object that performs a periodic motion, and does not determine a human body, After determining an object that repeatedly appears in the difference image group as the periodic motion object, the presence or absence of a human body within the predetermined range is determined based on a difference image of an image acquired by the image sensor. To do.

  In the illumination control system, the control unit determines an area in which the cyclically moving object repeatedly appears in the difference image group after determining an object that repeatedly appears in the difference image group as the cyclically moving object. It is preferable to exclude it from the object which determines whether a human body exists in the inside.

  In this illumination control system, the control unit is set with a threshold value for determining whether or not a human body exists within the predetermined range with respect to the pixel value of the difference image, and the threshold value is set. The values are a first threshold value in a region where the periodically moving object repeatedly appears in the difference image, and a second threshold value in a region other than the region where the periodically moving object appears repeatedly in the difference image. It is preferable that the first threshold value is set larger than the second threshold value.

  In this illumination control system, the control unit performs a difference only for a region in which a difference is detected between the images acquired by the image sensor after a difference for each pixel between the images acquired by the image sensor. It is preferable to do.

  In this illumination control system, the control unit divides a predetermined number of images acquired by the image sensor into areas of x rows and y columns, and for each image divided into areas of x rows and y columns. After extracting the area where the periodic motion object exists a predetermined number of times, an area extracted with high frequency as the area where the periodic motion object exists is extracted from the image acquired by the image sensor. It is preferable to limit the area to which image processing for detecting the image is performed.

  In this illumination control system, the control unit has a setting mode different from a normal mode for detecting the presence or absence of a human body, and the period is set in the image acquired by the image sensor in the setting mode state. When the marker attached to the moving object is detected, it is preferable to limit a certain range of the region including the marker in the image acquired by the image sensor as a region for performing the image processing.

  In the illumination control system of the present invention, it is possible to automatically improve human body detection accuracy regardless of the presence or absence of a periodically moving object within a predetermined range imaged by the imaging means.

The lighting control system of Embodiment 1 is shown, (a) is a block diagram, (b) is operation | movement explanatory drawing. The illumination control system same as the above is shown, (a) is an explanatory diagram of a usage example, and (b) is an explanatory diagram of an image acquired by an image sensor. It is a schematic block diagram of the control part of an illumination control system same as the above. It is operation | movement explanatory drawing of an illumination control system same as the above. It is operation | movement explanatory drawing of the illumination control system of Embodiment 2. FIG. It is operation | movement explanatory drawing of an illumination control system same as the above. It is operation | movement explanatory drawing of an illumination control system same as the above. It is explanatory drawing of the usage example of the illumination control system of Embodiment 3. FIG. It is a block diagram of an illumination control system same as the above. It is a block diagram of the illumination system which applied the human body detection technique of the prior art example. It is a block diagram of the air conditioner which applied the human body detection technique of the prior art example.

(Embodiment 1)
Hereinafter, the illumination control system of the present embodiment will be described with reference to FIGS.

  The lighting control system according to the present embodiment includes a lighting fixture 5 installed on a construction surface (for example, a ceiling surface 29 (see FIG. 2)), a lighting control unit 4 including a control circuit that controls the lighting fixture 5, and imaging. A human body detector 11 having an image sensor 1 having means (not shown) and detecting a human body 20 (see FIG. 2) existing within a predetermined range 12 (see FIG. 2) imaged by the imaging means; I have. The lighting control unit 4 may be provided in the lighting fixture 5.

  Further, in the above-described lighting control system, when the human body 20 existing within the predetermined range 12 is detected by the human body detection unit 11, the lighting fixture 5 is turned on by the lighting control unit 4. That is, this lighting control system can automatically turn on the lighting fixture 5 when the human body 20 enters the predetermined range 12. The lighting control system described above turns off the lighting fixture 5 by the lighting control unit 4 after a preset lighting holding time has elapsed after the human body 20 is no longer detected within the predetermined range 12. Therefore, since the lighting control system of this embodiment controls the lighting fixture 5 based on the presence or absence of the human body 20 within the predetermined range 12, the energy saving and crime prevention effects can be achieved.

  The human body detection unit 11 includes the image sensor 1 including the above-described imaging unit, and the control unit 2 that controls the illumination control unit 4 based on the presence or absence of the human body 20 within the predetermined range 12. In addition, the human body detection unit 11 includes a storage unit 3 including a volatile memory such as a DDRAM or a DRAM that stores an image at a time when the human body 20 does not exist within the predetermined range 12 (hereinafter referred to as a background image for convenience of explanation). Have. The imaging means described above may be configured by a CCD camera or a CMOS camera that images the predetermined range 12.

  The image sensor 1 is fixed to the lighting fixture 5 so that the imaging means can image the lower part (see FIG. 2). The image sensor 1 also converts analog image data output by continuously imaging the predetermined range 12 by the imaging means (for example, imaging at a cycle of 30 frames per second) into digital image data. A D converter (not shown) is provided. The image sensor 1 converts analog image data continuously acquired by the imaging means into digital image data by an A / D converter, and then sequentially outputs them to the control unit 2 in time series.

  The control unit 2 may be configured by a semiconductor device such as a DSP (Digital Signal Processor) or an image processor.

  Further, the control unit 2 determines the human body 20 in the predetermined range 12 based on the current image I10 composed of image data sequentially output from the image sensor 1 in time series and the background image I20 stored in advance in the storage unit 3. The presence or absence is determined.

  More specifically, the control unit 2 is provided with a difference calculator (not shown) that calculates a difference between each pixel value of the background image I20 from each pixel value of the current image I10. Further, the control unit 2 is provided with a difference image generation unit 6 (see FIG. 3) that generates a difference image I30 based on each pixel value that is subjected to the difference calculation by the difference calculator. That is, as shown in FIG. 1, the control unit 2 performs a difference calculation on each pixel value of the background image I20 from each pixel value of the current image I10 by the difference calculator, and then the difference image generation unit 6 calculates the difference image I30. Is generated. Here, the pixel value of the pixel having no difference in the difference image I30 is “0”. In addition, the pixel value of a pixel having a difference in the difference image I30 is “1” when the pixel value is equal to or more than a first predetermined value set in advance. On the other hand, the pixel value of a pixel having a difference in the difference image I30 is “0” when it is less than the first specified value. In the example shown in FIG. 1B, the human body 20 and an object 21 such as a desk are captured in the current image I10, and the object 21 and the like are captured in the background image I20. In the difference image I30, each pixel value in the region where the human body 20 exists is “1”.

  Here, the control unit 2 of the present embodiment calculates a pixel value for each pixel between the current image I10 and the background image I20, but for each pixel between the current image I10 and the background image I20. After the pixel value is difference-calculated, only the pixel value for which a difference is detected between the current image I10 and the background image I20 may be difference-calculated. In this case, it is possible to reduce the arithmetic processing of the difference calculator, and to reduce the processing load of the control unit 2.

  Further, the control unit 2 includes a human body determination unit 10 (see FIG. 3) that determines whether or not the human body 20 exists within the predetermined range 12 based on the difference image I30 generated by the difference image generation unit 6. It has been. In the human body determination unit 10, a second specified value for determining whether or not the human body 20 exists within the predetermined range 12 is set in advance.

  The human body determination unit 10 extracts the total number of pixels having a pixel value “1” in the difference image I30, and when the total number exceeds the second specified value, the human body 20 is within the predetermined range 12. It is determined that it exists. Here, in the illumination control system of the present embodiment, the human body determination unit 10 extracts the total number of pixels having a pixel value “1” in the difference image I30 and determines whether or not the human body 20 exists within the predetermined range 12. For example, whether or not the human body 20 exists in the predetermined range 12 by extracting the size of a set of pixels adjacent to each other whose pixel value is “1” in the difference image I30. May be determined.

  When the human body determination unit 10 determines that the human body 20 exists within the predetermined range 12, the control unit 2 outputs a detection signal S <b> 1 including detection information of the human body 20 to the illumination control unit 4.

  When the detection signal S <b> 1 is input from the control unit 2, the illumination control unit 4 controls the illumination device 5 so that electric power is supplied to a light source (not illustrated) (for example, a fluorescent lamp, an LED, etc.) provided in the lighting device 5. Turn on or dimm. The luminaire 5 is electrically connected to a commercial power source (not shown).

  Here, in the illumination control system of the present embodiment, as the background image stored in the storage unit 3, an image at the time when the human body 20 does not exist within the predetermined range 12 is always used. A current image sequentially acquired in time series by the image sensor 1 may be used.

Further, as shown in FIG. 3, the control unit 2 includes a certain number of difference images I30 generated by the difference image generation unit 6 (k pieces: k is a natural number in FIG. 4A). A cumulative difference image generation unit 7 that generates a cumulative difference image H30 (see FIG. 4B) based on the image group G30 (see FIG. 4A) is provided. Further, the control unit 2 includes candidates for periodic operation objects (for example, a fan, a ventilation fan, a copy or a paper discharge unit of a printer) that perform a periodic operation on the cumulative difference image H30 generated by the cumulative difference image generation unit 7. An extraction unit 8 that extracts the region P _M (see FIG. 4C) is provided. In addition, the control unit 2 indicates that each candidate region P _M , P _{M + 1} extracted by the extraction unit 8 in a plurality of periods (in FIG. 4, [M] period to [M + 1] period) is a periodic motion object. A determination unit 9 is provided for determining whether or not the region.

  The cumulative difference image generation unit 7 includes a cumulative adder (FIG. 4) that cumulatively adds pixel values for each pixel of each difference image I30 in the difference image group G30 in a predetermined period (in the example of FIG. 4, the [M] period). Not shown). That is, the cumulative difference image generation unit 7 generates a cumulative difference image H30 based on each pixel value cumulatively added by the cumulative adder.

  Here, in the illumination control system of the present embodiment, the cumulative adder cumulatively adds the pixel values of each pixel of each difference image I30. For example, the pixel whose pixel value is “1” in each difference image I30. Only the pixel values of j1 to j3 (see FIG. 4A) may be cumulatively added. In this case, it is possible to reduce the arithmetic processing of the cumulative adder and to reduce the processing load on the control unit 2. Further, in the illumination control system of the present embodiment, the difference image group G30 is configured with a certain number (in the illustrated example, k) difference images I30 in the plurality of periods described above. The group may be composed of a different number of difference images I30.

The extraction unit 8, the third predetermined value for extracting a candidate region P _M with respect to accumulation subtraction image H30 generated by accumulation subtraction image generating unit 7 is set in advance. Here, the extraction unit 8 extracts, as a candidate region P _M , a set of pixels adjacent to each other whose pixels in the cumulative difference image H30 generated by the cumulative difference image generation unit 7 are equal to or greater than the third specified value. To do.

The determination unit 9 is a calculation unit that calculates the overlapping rate of the candidate regions P _M and P _{M + 1} extracted by the extraction unit 8 in the cumulative difference images H30 and H31 respectively generated by the cumulative difference image generation unit 7. (Not shown) is provided. The determination unit 9 also includes a region (common region) A1 (see FIG. 4D) in which the candidate regions P _M and P _{M + 1} extracted by the extraction unit 8 in each of the accumulated difference images H30 and H31 overlap. A fourth specified value for determining whether or not the region is a periodically moving object region is set in advance. That is, the determination unit 9 determines that the common region A1 is the region of the periodically moving object when the overlapping rate of the candidate regions P _M and P _{M + 1} calculated by the calculation unit is equal to or greater than the fourth specified value. In addition, it is not determined as the region of the human body 20.

Specifically, for example, as illustrated in FIG. 4, the determination unit 9 includes the cumulative difference image H30 and the [M + 1] th [M] period (the nth frame to the (n + k−1) th frame period). In each of the accumulated difference images H31 in the period (the period from the (n + k) th frame to the (n + k) + k-1) th frame, the overlap ratio A of each candidate region P _M , P _{M + 1} extracted by the extraction unit 8 is calculated by the calculation unit. calculate.

The calculation unit calculates the overlapping rate A of each candidate region P _M , P _{M + 1} using the following equation.
A = the common area A1 area / (the area of the candidate region _{P M} - area + area candidate region _{P M + 1} common area A1)
That is, the determination unit 9 determines that the common region A1 is the region of the periodic motion object when the overlapping ratio A of the candidate regions P _M and P _{M + 1} calculated by the calculation unit is equal to or greater than the fourth specified value. Moreover, it is not determined as the region of the human body 20.

Here, in the illumination control system of the present embodiment, the calculation unit has an overlapping rate of each of the candidate regions P _M and P _{M + 1} in two consecutive periods (in FIG. 4, the [M] period to the [M + 1] period). Although A is calculated, for example, the overlap rate A of each candidate region may be calculated in two non-consecutive periods. Further, in the lighting control system of the present embodiment, the overlap rate A in three or more periods may be calculated, and each of these three or more periods may or may not be continuous.

Then, after the determination unit 9 determines that the common area A1 of the candidate areas P _M and P _{M + 1 is} the area of the periodic motion object, the control unit 2 uses the human body determination unit 10 to determine a predetermined range based on the difference image I30. The presence or absence of the human body 20 in 12 is determined. Therefore, in the illumination control system according to the present embodiment, after the determination unit 9 determines that the common region A1 of the candidate regions P _M and P _{M + 1 is} the region of the periodic motion object, the human body determination unit 10 based on the difference image I30. Since the presence / absence of the human body 20 within the predetermined range 12 is determined, it is possible to automatically improve the detection accuracy of the human body 20 regardless of the presence or absence of a periodically moving object within the predetermined range 12 imaged by the imaging means. It becomes.

  In addition, a threshold value for determining whether or not the human body 20 exists within the predetermined range 12 with respect to the pixel value of the difference image I30 may be set in the control unit 2 of the present embodiment. More specifically, the above-described threshold value is a first value of a region A2 (see FIG. 4B) that includes the common region A1 that is determined by the determination unit 9 to be the region of the periodically moving object with respect to the difference image I30. And a second threshold value of the area A3 (see FIG. 4B) other than the area A2 including the common area A1 with respect to the difference image I30. Further, in the control unit 2, the first threshold value is set larger than the second threshold value with respect to the pixel value of the difference image I30. Therefore, the lighting control system of the present embodiment sets a threshold value for determining whether or not the human body 20 exists within the predetermined range 12 with respect to the pixel value of the difference image I30, and thus the periodic operation It is possible to suppress erroneous detection of the object as the human body 20 and to erroneously determine that the human body 20 is a periodically moving object.

In addition, the control unit 2 of the present embodiment uses the determination unit 9 for the difference image I30 after the determination unit 9 determines that the common region A1 of the candidate regions P _M and P _{M + 1 is} the region of the periodically moving object. It is desirable to exclude the region A2 including the common region A1 determined as the region of the periodically moving object from the target for determining whether or not the human body 20 exists within the predetermined range 12. Thereby, the illumination control system of the present embodiment can suppress erroneous detection of the periodically moving object as the human body 20, and can reduce the processing load of the control unit 2. Here, the control unit 2 of the present embodiment determines the common region A1 for the difference image I30 after the determination unit 9 determines that the common region A1 of the candidate regions P _M and P _{M + 1 is} the region of the periodic motion object. Is excluded from the object for determining whether or not the human body 20 is present within the predetermined range 12, but the area A2 including the common area A1 may be masked with respect to the difference image I30. .

(Embodiment 2)
The basic configuration of the illumination control system of the present embodiment is the same as that of the first embodiment. After the determination unit 9 determines that the common area A1 of the candidate areas P _M and P _{M + 1 is} the area of the periodically moving object, the image sensor 1 is different from the first embodiment in that the region where the cyclically moving object exists in the current image acquired by 1 is specified. In addition, the same code | symbol is attached | subjected to the component similar to Embodiment 1, and description is abbreviate | omitted suitably.

  Hereinafter, the illumination control system of this embodiment will be described with reference to FIGS. 5 and 6.

After the determination unit 9 determines that the common area A1 of the candidate areas P _M and P _{M + 1 is} the area of the periodically moving object, the control unit 2 sequentially outputs the time series from the image sensor 1 as shown in FIG. The fixed number of current images I11 are divided into areas of x rows and y columns (8 rows and 13 columns in the illustrated example). Note that the coordinates of each area of the current image I11 divided for each area of x rows and y columns will be described as I11 (x, y).

  In addition, the control unit 2 controls each area (I11 (6, 8 in FIG. 5)) that constitutes the area C1 where the periodically moving object B1 exists for each current image I11 divided for each area of x rows and y columns. , I11 (6, 9), I11 (7, 8), I11 (7, 9)).

  Here, the control unit 2 includes a counter (not shown) that counts the number of times the control unit 2 extracts each area of a fixed number of current images I11 that are sequentially output from the image sensor 1 in time series. Is provided. Further, the control unit 2 determines whether or not the area C1 in which the periodically moving object B1 exists with respect to each area of the fixed number of current images I11 sequentially output from the image sensor 1 in time series. A predetermined count value is set in advance.

  That is, as shown in FIG. 6, the control unit 2 counts the number of times counted by the counter for each area of a certain number of current images I12 sequentially output in time series from the image sensor 1 to a predetermined count value or more. A region (C2 to C6 in FIG. 7) configured by a certain area is specified as a region where a periodically moving object exists. Then, the control unit 2 specifies the region where the periodically moving object exists for a certain number of current images sequentially output from the image sensor 1 in time series, and then sequentially outputs from the image sensor 1 in time series. An area extracted with high frequency extracted as an area constituting a region where a periodically moving object is present with respect to the current image is limited as an area for performing image processing for detecting the periodically moving object. Therefore, the illumination control system of the present embodiment can automatically further improve the detection accuracy of the human body 20 regardless of the presence or absence of a periodically moving object within the predetermined range 12 imaged by the imaging means. In addition, the illumination control system according to the present embodiment performs periodic operations on the current images sequentially output in time series from the image sensor 1 after specifying a region where the periodically moving objects exist for a certain number of current images. Since the area extracted with high frequency as an area constituting the area where the object exists is limited as an area for performing image processing for detecting the periodically moving object, the processing load of the control unit 2 can be reduced. Become. In the lighting control system of the present embodiment, the storage unit 3 may be provided with a storage area for storing the number of times (frequency) counted by the counter.

  By the way, in the illumination control system of this embodiment, the control unit 2 is provided with a setting mode different from the normal mode for detecting the presence / absence of the human body 20 within the predetermined range 12 in advance. In addition, a method of specifying a region where a periodically moving object exists in the current image sequentially output in time series from the image sensor 1 is also conceivable.

  More specifically, the control unit 2 of the present embodiment forcibly shifts from the normal mode state to the setting mode state by receiving, for example, a first remote control signal output from a remote controller or the like. In addition, as a method of returning from the setting mode state to the normal mode state, the control unit 2 of the present embodiment forcibly exits the setting mode state by receiving a second remote control signal from a remote control or the like, for example. Transition to normal mode. Note that the method of shifting from the normal mode state to the setting mode state is not limited to the method of receiving the first remote control signal from the remote controller or the like. A method of maintaining the state of the setting mode may be used.

  Further, when the control unit 2 is in the setting mode state, as shown in FIG. 7, the marker 19 attached to the periodically moving object (not shown) is detected in the current image I13 acquired by the image sensor 1. In this case, an area (C7 to C11 in FIG. 7) configured by each area where the marker 19 is arranged is specified as an area where the periodically moving object is present and is limited to the area where the above-described image processing is performed. To do. Thereby, in the illumination control system of the present embodiment, it is possible to reduce the time for specifying the region where the periodically moving object is present in the current image I13 acquired by the image sensor 1, and the human body 20 It becomes possible to improve the detection accuracy. Note that the position where the marker 19 is placed on the periodic moving object is preferably a position that is placed near the center of the periodic moving object and within the predetermined range 12 captured by the imaging means and is not shielded.

  Further, in the lighting control system of the present embodiment, for example, when the layout of an office or the like is changed, it is necessary to specify again the region where the periodically moving object exists. In this case, for example, there is a method of collectively erasing the frequency of the region where the periodically moving object stored in the storage unit 3 exists. However, there may be a case where only the frequency of the region where the periodic motion object where the marker 19 is located is erased from the frequency of the region where the periodic motion object exists stored in the storage unit 3. In this case, the control unit 2 of the present embodiment detects, for example, the marker 19 attached to the periodically moving object with respect to the current image I13 sequentially output in time series from the image sensor 1 in the normal mode state. If it is, only the frequency of the area constituted by each area where the marker 19 is arranged is erased from the frequency of the area where the periodically moving object is stored in the storage unit 3.

  In the illumination control system of this embodiment, a human sensor including a pyroelectric element that detects the presence or absence of the human body 20 may be provided as the human body detection unit 11. In this case, the detection accuracy of the human body 20 can be further improved by detecting the human body 20 using the image sensor 1 and the human sensor.

(Embodiment 3)
The basic configuration of the illumination control system of the present embodiment is the same as that of the second embodiment, and the embodiment is such that the image sensor 1 is not fixed to the luminaire 14 as shown in FIG. 2 and different. In addition, the same code | symbol is attached | subjected to the component similar to Embodiment 2, and description is abbreviate | omitted suitably.

  Hereinafter, the illumination control system of the present embodiment will be described with reference to FIGS. 8 and 9.

  The lighting control system of this embodiment includes a plurality of lighting fixtures 14 and a lighting control terminal 13 that controls these lighting fixtures 14. The plurality of lighting fixtures 14 are electrically connected to a commercial power source (not shown). The lighting control terminal 13 is electrically connected to the plurality of lighting fixtures 14 through the signal line 15.

  As shown in FIG. 9, the lighting control terminal 13 dims a plurality of lighting fixtures 14 when a detection signal S <b> 1 is input from the image sensor 1, the control unit 2, the storage unit 3, and the control unit 2. And a dimming signal generation unit 16 for generating and outputting a dimming signal S2 for output. The lighting control terminal 13 is installed on a construction surface (for example, the ceiling surface 29). Note that the image sensor 1 is fixed to the illumination control terminal 13 so that the imaging means can image the lower part.

  The dimming signal generation unit 16 includes a switching element such as an FET (Field Effect Transistor), and outputs the generated dimming signal S2 to the plurality of lighting fixtures 14 through the signal line 15. The dimming signal generation unit 16 may be provided in the control unit 2.

  The illumination control system according to the present embodiment described above has the illumination control terminal 13 so that a plurality of lighting fixtures 14 can be collectively controlled.

DESCRIPTION OF SYMBOLS 1 Image sensor 2 Control part 5 Lighting fixture 12 Predetermined range 14 Lighting fixture 19 Marker 20 Human body I30 Difference image G30 Difference image group

Claims (6)

  A lighting unit; an image sensor including an imaging unit that captures a predetermined range; and a control unit that controls the lighting unit based on the presence or absence of a human body within the predetermined range. The control unit includes a plurality of periods. The object repeatedly appearing in the difference image group of each image acquired by the image sensor in FIG. 5 is determined as a periodic motion object that performs a periodic motion, and is not determined as a human body, and appears repeatedly in the difference image group. An illumination control system, wherein after determining an object as the periodic motion object, the presence or absence of a human body within the predetermined range is determined based on a difference image of images acquired by the image sensor.   The control unit determines that an object that repeatedly appears in the difference image group is the periodic motion object, and then has a human body within the predetermined range in an area where the periodic motion object repeatedly appears in the difference image group. The lighting control system according to claim 1, wherein the lighting control system is excluded from a target to be determined.   The control unit is set with a threshold value for determining whether or not a human body exists within the predetermined range with respect to the pixel value of the difference image, and the threshold value is the difference image. A first threshold value of a region where the periodically moving object repeatedly appears, and a second threshold value of a region other than the region where the periodically moving object appears repeatedly for the difference image. The lighting control system according to claim 1, wherein the first threshold value is set larger than the second threshold value.   The control unit, after having made a difference for each pixel between the images acquired by the image sensor, to calculate only the area where the difference is detected between the images acquired by the image sensor. The illumination control system according to any one of claims 1 to 3.   The control unit divides a fixed number of images acquired by the image sensor for each area of x rows and y columns, and the periodically moving object exists for each image divided for each area of x rows and y columns. An image for detecting the periodic motion object in an area that is extracted as an area where the periodic motion object exists with respect to the image acquired by the image sensor after extracting the area to be performed a predetermined number of times 5. The illumination control system according to claim 4, wherein the illumination control system is limited as an area for processing.   The control unit has a setting mode different from a normal mode for detecting the presence / absence of a human body, and is attached to the periodic motion object in an image acquired by the image sensor in the setting mode state. 6. The illumination control system according to claim 5, wherein, when a marker is detected, an area in a certain range including the marker in the image acquired by the image sensor is limited as an area for performing the image processing.

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