JP6416157B2 - Image processing device - Google Patents

Description

  The present invention relates to an image processing apparatus that detects a plane from an image.

  In general, an image processing apparatus that monitors an intrusion of a person into a monitoring space by using an image detects a changed area that has changed from a plurality of captured images of the monitoring space, and whether or not a person is captured in the changing area. By detecting this, a person who enters the surveillance space is detected. However, when there are planes such as columns and walls in the surveillance space, there is a possibility that small animals such as mice running on the plane, headlight light of a car irradiated on the plane, etc. may be detected as a person by mistake. In order to prevent such a detection error, for example, the image processing apparatus sets in advance a plane area in which a plane such as a pillar or a wall is captured in the captured image. As a result, when the change area is included in the plane area, the image processing apparatus determines that the change area does not touch the floor and therefore the change area includes a small animal or light. Can do.

  However, conventionally, in the image processing apparatus, the plane area has been manually set by a counselor who visually confirms the monitoring space. For this reason, when the layout of an installation such as a fixture is changed in the monitoring space, it is necessary for the coordinator to reset the plane area, which increases the work load and work cost of the coordinator. In addition, when the counselor manually sets the plane area, there is a possibility that setting may be forgotten or a setting error may occur.

  As a technique for detecting a three-dimensional shape from a two-dimensional image, a technique using a plurality of illuminations, a technique using a plurality of cameras, a pattern light, a distance measuring sensor using TOF (Time of Flight), and the like are known. However, when a planar area is detected by these methods, a plurality of illuminations, a plurality of cameras, a distance measuring sensor, and the like are required, which increases the system cost.

  On the other hand, Patent Document 1 discloses a technique for detecting a plane from a two-dimensional image with a device configuration of a single camera and a single illumination without using the special configuration described above. Specifically, in Patent Document 1, an inclination start line that is a boundary between a plane and an inclined portion is detected with respect to an object to be inspected that has a plane and has an inclined portion that is slightly inclined at a part of the plane. A processing device is described. This processing apparatus irradiates the surface of the object to be inspected with diffused light and picks up an image, and detects the position of the change point at which the received light density exceeds the threshold as the tilt start position.

Japanese Patent Laid-Open No. 04-259811

  However, since the light reception density in the inspection object varies depending on the shooting direction of the camera, the irradiation direction of the illumination, the distance between the camera and the illumination and the inspection object, etc., the tilt start position as in the processing apparatus of Patent Document 1. In order to detect this, the positional relationship between the camera, the illumination, and the inspection object needs to be determined in advance. Therefore, conventionally, it has been difficult to detect a plane when the positional relationship between the camera, the illumination, and the object to be inspected is not predetermined.

  An object of the present invention is to accurately detect a region where a plane exists from an image photographed by a photographing device even when the positional relationship between the photographing device and a space photographed by the photographing device is not predetermined. An object is to provide an image processing apparatus.

  In order to solve such a problem, the present invention provides an image acquisition unit that acquires a captured image in which a predetermined space is captured by an imaging device, a luminance value of a reference pixel included in the captured image, and a luminance value of each other pixel Based on the ratio, the distance between the position in the predetermined space corresponding to the reference pixel and the position of the photographing apparatus, and the ratio of the distance between the position in the predetermined space corresponding to each other pixel and the position of the photographing apparatus In the captured image, a distance ratio calculating unit that calculates a spatial coordinate in the three-dimensional space corresponding to each pixel included in the captured image according to the ratio calculated by the distance ratio calculating unit, An image having a plane area detecting unit that detects, as a plane area, a pixel group in which spatial coordinates corresponding to pixels included in the pixel group are located on substantially the same plane among the adjacent pixel groups. Provide processing equipment . Accordingly, the present invention can accurately detect a region where a plane exists from an image photographed by the photographing device even when the positional relationship between the photographing device and the space photographed by the photographing device is not predetermined. .

  The image processing apparatus further includes an area dividing unit that divides the captured image into a plurality of divided areas, and the plane area detecting unit includes spatial coordinates corresponding to each pixel included in the divided area on substantially the same plane. A plane candidate area detecting unit that detects a divided area as a plane candidate area and two adjacent divided areas are detected as plane candidate areas, and the spatial coordinates corresponding to the pixels included in the two divided areas are substantially the same plane. In the case where it exists above, it is preferable to have a plane candidate area combining unit that combines two divided areas as one plane candidate area, and to detect the plane area based on the plane candidate area. As a result, it is possible to more efficiently detect a planar area composed of pixel groups close to each other.

  The image processing apparatus further includes an area dividing unit that divides the captured image into a plurality of divided areas, and the plane area detecting unit includes spatial coordinates corresponding to each pixel included in the divided area on substantially the same plane. A plane candidate area detecting unit that detects a divided area as a plane candidate area, a first divided area of two adjacent divided areas is detected as a plane candidate area, and a second divided area is detected as a plane candidate area If not, it is determined whether or not the spatial coordinates corresponding to the pixels included in the second divided region are present on the plane related to the first divided region, and the second determined to be present on the plane. It is preferable to further include a plane candidate area updating unit that includes the pixels of the divided area in the plane candidate area related to the first divided area, and detecting the plane area based on the plane candidate area. Accordingly, it is possible to detect the plane area with higher accuracy even when the divided area includes a plurality of planes while more efficiently detecting the plane area including the pixel groups close to each other.

  In addition, the present invention provides a storage unit that stores light distribution information of a lighting device that is installed so that a light irradiation direction is substantially the same as a shooting direction of the photographing device, and the photographing device is in a predetermined state with the lighting device turned on. The lighting input image obtained by photographing the space and the lighting input image obtained by photographing the predetermined space while the lighting device is turned off are acquired, and the influence of disturbance light is removed based on the lighting input image and the lighting input image. Based on the disturbance light removal image generation unit that generates the disturbance light removal image, the disturbance light removal image, and the light distribution information, a state in which illumination with substantially uniform intensity is irradiated toward the visual axis direction of each pixel in the image A uniform illumination image generation unit that generates a uniform illumination image in which the predetermined space is reflected, and a plane area detection unit that analyzes the uniform illumination image and detects a plane region in which a plane in the predetermined space is reflected Image processing apparatus To provide. As a result, the present invention provides an area in which a plane exists from an image captured by an imaging apparatus without being affected by non-uniform orientation of the illumination apparatus itself used for plane detection or light from other than the illumination apparatus used for plane detection. Can be detected with high accuracy.

  The image processing apparatus according to the present invention accurately detects a region where a plane exists from an image photographed by the photographing device even when the positional relationship between the photographing device and the space photographed by the photographing device is not predetermined. There is an effect that can be.

It is a schematic block diagram of the monitoring system by this embodiment. (A)-(e) is a schematic diagram for demonstrating each image. (A), (b) is a schematic diagram for demonstrating a division area. It is a schematic diagram for demonstrating the detection of a plane candidate area | region. It is a schematic diagram for demonstrating the coupling | bonding of a plane candidate area | region. It is a schematic diagram for demonstrating the update of a plane candidate area | region. (A), (b) is a schematic diagram for demonstrating the relationship between a plane area | region and object. It is a flowchart which shows the operation | movement of a plane area | region detection process. It is a flowchart which shows operation | movement of a target detection process.

  Hereinafter, a monitoring system to which the image processing apparatus of the present invention is applied will be described with reference to the drawings.

  FIG. 1 is a diagram illustrating a schematic configuration of a monitoring system 100 according to the present embodiment. The monitoring system 100 includes an image processing device 1 and a photographing unit 2.

The photographing unit 2 includes a photographing unit 10 and an illumination unit 20.
The photographing unit 10 includes a photoelectric conversion element having sensitivity to near infrared light or visible light, such as a CCD element or a C-MOS element, an imaging optical system that forms an image on the photoelectric conversion element, and a photoelectric conversion element. And an A / D converter that amplifies the electrical signal output from the A / D converter and performs analog / digital (A / D) conversion. The photographing unit 10 is fixedly installed so as to photograph a monitoring space for monitoring the intrusion of a detection target such as a person. The photographing unit 10 is connected to the image processing apparatus 1, converts the photographed RGB images into digital input images in which each pixel has a luminance value in the range of 0 to 255, and outputs the digital input image to the image processing apparatus 1.

The illumination unit 20 is a light source that irradiates light to the monitoring space, and a light source (for example, a plurality of LEDs) having a luminance sufficient for the wavelength in the near-infrared light region or visible light region where the photoelectric conversion element of the photographing unit 10 is sensitive. Etc.). The illumination unit 20 is fixedly installed at a position substantially the same as the installation position of the imaging unit 10 so that the light irradiation direction is substantially the same as the imaging direction of the imaging unit 10. The illumination unit 20 is connected to the image processing apparatus 1 and irradiates the monitoring space with light according to control by the image processing apparatus 1.
The photographing unit 2 may be provided inside the image processing apparatus 1 so as to be included in the image processing apparatus 1 instead of being provided outside the image processing apparatus 1 so as to be connected to the image processing apparatus 1. .

  The image processing apparatus 1 includes a central processing unit (CPU), a micro processing unit (MPU), peripheral circuits, terminals, various memories, and the like. The image processing apparatus 1 detects a planar area such as a pillar, a wall, or a floor from an input image captured by the imaging unit 2 and detects a detection target such as a person or a small animal using information on the detected planar area. The image obtained by extracting the detection target from the input image is output. The image processing apparatus 1 includes an output unit 30, a storage unit 40, a control unit 50, and the like.

The output unit 30 is an interface connected to an external device (not shown) and its control circuit. When the output unit 30 receives a result signal including a determination result as to whether or not a detection target is included in the input image from the control unit 50, the output unit 30 converts the signal into a signal in a format receivable by the external device and outputs the signal. In addition, when the determination result indicates that the detection target is included in the input image, the result signal includes information for notifying the monitoring person who monitors the monitoring space, and the detection target extracted from the input image. The image etc. which are included may be further included. Further, when the output unit 30 receives from the control unit 50 an image of a plane area detected from the input image, or information indicating the coordinate information and size of the area in which the plane is reflected in the input image, the output unit 30 receives the information. Convert to a possible format and output.
The output unit 30 may output each information to an external device such as a monitoring center device via a communication line such as a general public line or a mobile phone line.

The storage unit 40 includes a semiconductor memory such as a ROM (Read Only Memory) and a RAM (Random Access Memory), or a magnetic recording medium and its access device or an optical recording medium and its access device. The storage unit 40 stores a computer program and various data for controlling the image processing apparatus 1, and inputs / outputs these pieces of information to / from the control unit 50. The computer program is installed in the storage unit 40 from a computer-readable portable recording medium such as a CD-ROM (compact disk read only memory) or a DVD-ROM (digital versatile disk read only memory) using a known setup program. May be.
The storage unit 40 stores mode information 41, installation information 42, light distribution information 43, a background image 44, and the like. The mode information 41 indicates the currently set operation mode of the image processing apparatus 1. The installation information 42 indicates the installation state of the camera in the monitoring space, and is, for example, the installation height, depression angle, angle of view, etc. of the photographing unit 10. The light distribution information 43 indicates the light distribution of the illumination unit 20 and is, for example, the irradiation intensity in the visual axis direction of each pixel of the input image. The light distribution information 43 includes, for example, a range of luminance values such that a spherical screen of uniform color is placed in the photographing direction of the photographing unit 10 and the luminance value of each pixel is not saturated or blackened while the lighting unit 20 is turned on. Image information obtained by adjustment. That is, the light distribution information 43 is an illumination light intensity image in which the luminance value of each pixel represents the illumination light intensity by the illumination unit 20. The light distribution information 43 is not limited to image information, and may be stored as a data value. The background image 44 is an image of a monitoring space in a state where no object is present, and is updated so as to be optimal as appropriate based on a known update method.

The control unit 50 includes a CPU, an MPU, a peripheral circuit, and the like. The control unit 50 detects a plane area from the input image while referring to the storage unit 40, detects a detection target using information on the detected plane area, and outputs a result signal to the output unit 30. The control unit 50 includes a mode setting unit 51, an imaging control unit 52, an image acquisition unit 53, an area division unit 54, a distance ratio calculation unit 55, a spatial coordinate calculation unit 56, a plane area detection unit 57, an object detection unit 58, and the like. .
Each means of the control unit 50 is a functional module realized by software operating on a microprocessor. Each unit of the control unit 50 may be configured by an independent integrated circuit, firmware, a microprocessor, or the like.
Hereinafter, each unit of the control unit 50 will be described in detail.

The mode setting unit 51 sets the operation mode of the image processing apparatus 1. The operation mode of the image processing apparatus 1 includes a plane detection mode for detecting a plane existing in the monitoring space from an image obtained by photographing the monitoring space, and detection targets such as persons and small animals existing in the monitoring space from the image obtained by photographing the monitoring space. The object detection mode for detecting the. The mode setting means 51 receives a control signal from an external device operated by the coping person via an input unit (not shown), and switches the operation mode of the image processing apparatus 1 according to the received control signal. The mode setting unit 51 stores mode information indicating the operation mode of the image processing apparatus 1 in the storage unit 40.
Note that when the operation mode is the plane detection mode, the mode setting unit 51 may automatically switch the operation mode to the object detection mode when the plane detection process is completed. Further, the image processing apparatus 1 may store schedule information in the storage unit 40 in advance, and the mode setting unit 51 may switch the operation mode according to the stored schedule information. Further, when the operation mode is the target detection mode, the mode setting unit 51 may switch the operation mode based on the detection result of the detection target. For example, when the mode setting means 51 receives a control signal for setting the plane detection mode, the mode setting means 51 refers to the detection result of the detection target and automatically sets the operation mode only when the detection target does not exist in the monitoring space. You may switch to plane detection mode.

The imaging control unit 52 controls the imaging unit 10 and the illumination unit 20. The imaging control means 52 sets exposure speed by setting a shutter speed, a gain value, and the like in the imaging unit 10 and controls execution of imaging by the imaging unit 10. In addition, the imaging control unit 52 sets the lighting time, intensity, and the like in the illumination unit 20 and controls execution of lighting and extinguishing by the lighting unit 20. The imaging control means 52 refers to the mode information stored in the storage unit 40 and controls the imaging unit 10 and the illumination unit 20 according to the currently set operation mode.
When the operation mode is the plane detection mode, the imaging control unit 52 causes the imaging unit 10 to capture the lighting input image with the illumination unit 20 turned on, and causes the imaging unit 10 to turn off the illumination unit 20. Turn off the input image.
On the other hand, when the operation mode is the target detection mode, the imaging control unit 52 detects the brightness of the monitoring space by a known method, and switches between turning on and off the illumination unit 20 according to the brightness of the monitoring space. The photographing unit 10 is caused to perform photographing. For example, the imaging control unit 52 switches between turning off and turning on the illumination unit 20 between daytime and nighttime. The photographing control unit 52 causes the photographing unit 10 to sequentially perform photographing at a predetermined time interval (for example, 1/5 second interval).

  The image acquisition unit 53 is an example of a disturbance light removal image generation unit and a uniform illumination image generation unit. When the operation mode is set to the plane detection mode, the image acquisition unit 53 acquires a lighting input image and a lighting input image from the photographing unit 10. To do.

  FIG. 2A shows an example of a lighting input image, and FIG. 2B shows an example of a lighting input image. The lighting input image 200 shown in FIG. 2A shows a pillar 201, a wall 202, a floor 203, and the like arranged in the monitoring space. The lighting input image 200 includes light 204 illuminated by a lighting device other than the lighting unit 20. On the other hand, in the turn-off input image 210 shown in FIG. 2B, since the illumination by the lighting unit 20 is turned off, the pillar 201, the wall 202, the floor 203, etc. are not shown, and the lighting device other than the lighting unit 20 Only the illuminated light 214 is shown. As described above, the lighting input image is an image in which the imaging unit 10 captures the monitoring space with the lighting unit 20 turned on, and the light-off input image is the imaging unit 10 in the monitoring space with the lighting unit 20 off. It is a photographed image.

  Next, the image acquisition means 53 subtracts the luminance value of the corresponding pixel in the unlit input image from the luminance value of the corresponding pixel in the unlit input image based on the lighting input image and unlit input image. A disturbance light-removed image having the obtained value is generated.

  FIG. 2C shows an example of the disturbance light removed image. In the disturbance light removal image 220 shown in FIG. 2C, the pillar 201, the wall 202, the floor 203 and the like arranged in the monitoring space are shown, and the light 204 illuminated by a lighting device other than the lighting unit 20 is shown. Absent. As described above, the disturbance light removal image 220 is an image in which the influence of disturbance light other than the illumination light by the illumination unit 20 is removed.

  Next, the image acquisition unit 53 acquires light distribution information (illumination light intensity image) from the storage unit 40. Based on the disturbance light-removed image and the illumination light intensity image, the image acquisition means 53 determines the luminance value of the corresponding pixel in the disturbance light-removed image as the luminance value of the corresponding pixel in the illumination light intensity image ( A uniform illumination image having a value obtained by dividing the value by a normalized value) is generated. The uniform illumination image is an example of a photographed image in which a monitoring space photographed by the photographing unit 10 is shown.

FIG. 2D shows an example of an illumination light intensity image, and FIG. 2E shows an example of a uniform illumination image. In the monitoring system 100 of the present embodiment, the imaging unit 10 and the illumination unit 20 are placed at a predetermined height so that the imaging direction of the imaging unit 10 and the light of the illumination unit 20 can be captured so that a monitoring space with a depth can be captured. It is installed so that the irradiation direction is directed downward from the horizontal direction. Further, the intensity of the light of the LED arranged on the upper side in the illumination unit 20 is arranged on the lower side so that the space located far from the image processing apparatus 1 is sufficiently illuminated by the illumination light from the illumination unit 20. It is set to be higher than the light intensity of the LED. Further, the intensity of the light of the LEDs arranged on the center side in the left-right direction in the illumination unit 20 is more than the intensity of the lights of the LEDs arranged on both ends so that the vicinity of the center of the monitoring space is more reliably illuminated. It is set to be high. Therefore, in the illumination light intensity image 230 shown in FIG. 2D, the luminance value of the upper pixel 231 is higher than the luminance value of the lower pixel 232, and the luminance value of the central pixel 233 in the left-right direction is It is higher than the luminance value of the pixels 234 and 235.
The illumination light intensity image 240 shown in FIG. 2 (e) is the difference in luminance value of each pixel in the illumination light intensity image 230 shown in FIG. 2 (c) from the disturbance light removed image 220 shown in FIG. 2 (b). It is an image generated so as to remove the influence. In the illumination light intensity image 240, the luminance values of the upper pixel 241 and the central pixel 243 in the left-right direction are not changed and the lower pixel 242 is not compared with the corresponding pixels of the disturbance light removed image 220. In addition, the luminance values of the pixels 244 and 245 on both ends in the left-right direction are high. As described above, the illumination light intensity image 240 is an image in which a monitoring space in a state in which illumination with substantially uniform intensity is irradiated toward the visual axis direction of each pixel in the image, that is, the photographing direction of the photographing unit 10. It becomes.

When the monitoring space is not illuminated by disturbance light, the image acquisition unit 53 omits acquisition of the extinguished input image and generation of the disturbance light removal image, and each pixel has a luminance value of each corresponding pixel in the lighting input image. May be generated as a uniform illumination image having a value obtained by dividing the value by the luminance value of each corresponding pixel in the illumination light intensity image.
Further, when the light distribution of the illumination unit 20 is set so as to be irradiated with substantially uniform intensity in each direction, the image acquisition unit 53 uses the lighting input image or the disturbance light removed image as the uniform illumination image. May be.

  The area dividing unit 54 divides the uniform illumination image into a plurality of divided areas (small areas). The area dividing unit 54 groups adjacent pixel groups among the pixels included in the uniform illumination image, and sets the grouped pixel group area as a divided area. For example, the region dividing unit 54 uses a clustering technique such as a SLIC (Simple Linear Iterative Clustering) method to group pixels having similar brightness values and / or distances between pixels, and determines the region of the group of pixel groups. Set as a divided area. The area dividing unit 54 may divide the uniform illumination image into a fixed size area (for example, a rectangular area of 20 pixels × 16 pixels) in a mesh shape. The size of the divided area divided by the area dividing unit 54 is preferably smaller than the size of the planar area to be detected by the image processing apparatus 1.

  FIG. 3A shows an example of a divided region set using the SLIC method, and FIG. 3B shows an example of a divided region set in a mesh shape. As shown in an image 300 in FIG. 3A, each divided region 301 set by using the SLIC method is configured by pixels that are close to each other and have a close luminance value. Further, as shown in an image 310 in FIG. 3B, each divided region 311 set in a mesh shape is also composed of pixels that are close to each other.

  The distance ratio calculation means 55 sets a reference pixel for each divided region in the uniform illumination image. The distance ratio calculation means 55 sets an arbitrary pixel in the divided region, for example, a pixel having the maximum luminance value in the divided region, a pixel existing at the center of gravity position, or the like as the reference pixel. The distance ratio calculation means 55, for each divided area, based on the ratio of the luminance value of the reference pixel and the luminance value of each other pixel included in each divided area, the position in the monitoring space corresponding to the reference pixel and the photographing unit The ratio of the distance between the position of 10 and the distance between the position in the monitoring space corresponding to each other pixel and the position of the imaging unit 10 is calculated.

The reflected light intensity S at a specific position in the monitoring space is L for the intensity of illumination irradiated in the direction of the position, R for the reflectance at that position, and the distance between the position and the position of the photographing unit 10. Is represented by the following equation (1).
The image photographed by the photographing unit 10 is obtained by imaging the reflected light intensity S, and the luminance value of each pixel in the image has a linear relationship with the reflected light intensity S. Therefore, the luminance values I ₁ and I ₂ of two pixels in the uniform illumination image are expressed as the following formulas (2) and (3).
Here, L ₁ and L ₂ are the intensity of illumination irradiated toward the visual axis direction of each pixel, and R ₁ and R ₂ are reflectances at positions in the monitoring space corresponding to each pixel. , D ₁ , D ₂ are distances between the positions in the monitoring space corresponding to the respective pixels and the positions of the imaging unit 10.

From the expressions (2) and (3), the ratio of the distance between the position in the monitoring space corresponding to each pixel and the position of the photographing unit 10 is expressed as the following expression (4).
Here, in the uniform illumination image, since the intensity of illumination emitted toward the visual axis direction of each pixel is constant, Equation (4) can be transformed into Equation (5) below.
Further, when the position in the monitoring space corresponding to each pixel is on the same plane, the reflectances R ₁ and R _{2 at} each position can be regarded as being constant. It can be modified as in (6).

Therefore, the distance D ₂ between the position in the monitoring space corresponding to one pixel and the position of the imaging unit 10 is the distance D ₁ between the position in the monitoring space corresponding to the other pixel and the position of the imaging unit 10. Is calculated by the following equation (7).

Therefore, the distance D _c between the position in the monitoring space corresponding to the reference pixel and the position of the imaging unit 10, and the distance D _n between the position in the monitoring space corresponding to each other pixel and the position of the imaging unit 10. ratios, using the ratio of the luminance value I _n of the luminance value I _c and each of the other pixels of the reference pixels included in the divided region is calculated by the following equation (8).
The distance ratio calculation means 55 assumes the distance D _c related to the reference pixel to a specific value (for example, 2 m), and calculates the distance D _n related to each pixel by the following equation (9).

  The spatial coordinate calculation unit 56 calculates the spatial coordinates in the three-dimensional space corresponding to each pixel included in the uniform illumination image for each divided region according to the ratio calculated by the distance ratio calculation unit 55. The spatial coordinate calculation means 56 sets a three-dimensional space in which the position of the imaging unit 10 is the origin, the horizontal direction is the X axis, the vertical direction is the Y axis, and the depth direction is the Z axis. The spatial coordinate calculation unit 56 reads the installation information of the imaging unit 10 from the storage unit 40, and for each pixel included in the uniform illumination image, each pixel calculated by the distance ratio calculation unit 55 according to the depression angle and the angle of view of the imaging unit 10. The spatial coordinates in the three-dimensional space corresponding to the distance are calculated.

  The plane area detection unit 57 analyzes the uniform illumination image and detects a plane area in which a plane in the monitoring space is reflected. Specifically, the plane area detection unit 57 is a pixel in which spatial coordinates in a three-dimensional space corresponding to pixels included in the pixel group among the adjacent pixel groups in the uniform illumination image are on substantially the same plane. A group is detected as a planar region. For this purpose, the plane area detecting unit 57 includes a plane candidate area detecting unit 571, a plane candidate area combining unit 572, a plane candidate area updating unit 573, a plane area determining unit 574, and the like.

The plane candidate area detecting unit 571 detects a divided area in which the corresponding area in the three-dimensional space is flat among the divided areas in the uniform illumination image as a plane candidate area.
Specifically, the plane candidate area detection unit 571 has spatial coordinates in a three-dimensional space corresponding to each pixel included in the divided area among the divided areas in the uniform illumination image on substantially the same plane. A divided area is detected as a plane candidate area. The plane candidate area detection unit 571 calculates a plane for each divided area by using the least square method for the spatial coordinate group in the three-dimensional space corresponding to each pixel included in each divided area. That is, the plane candidate area detecting unit 571 approximates each spatial coordinate so that the sum of the squares of the distance to each spatial coordinate in the three-dimensional space corresponding to each pixel included in each divided area is minimized. Is calculated. For this purpose, the plane candidate area detecting unit 571 determines, for each divided area, whether or not the number of pixels whose distance between the calculated plane and the spatial coordinates is equal to or less than a predetermined value is equal to or greater than a predetermined number. Then, the plane candidate area detection unit 571 considers that each spatial coordinate exists on substantially the same plane when the number of pixels whose distance is equal to or smaller than a predetermined value is equal to or greater than the predetermined number, and the three-dimensional corresponding to the divided area. An area in the space is determined to be a plane, and the divided area is determined to be a plane candidate area. For example, the plane candidate area detection unit 571 determines that the divided area is a plane candidate area when the distance from the plane is equal to or less than a predetermined value in 90% or more of the pixels in the divided area.
Alternatively, the plane candidate area detecting unit 571 determines whether a division value (average distance) obtained by dividing the total distance between the calculated plane and each spatial coordinate by the area (number of pixels) of the division area is equal to or less than a predetermined value. If the calculated division value is equal to or less than a predetermined value, the divided area may be determined as a plane candidate area.

  FIG. 4 is a schematic diagram for explaining detection of a plane candidate region. In the image 400 shown in FIG. 4, only the divided areas 401 to 403 detected as plane candidate areas among the divided areas 301 shown in FIG. Each divided area 401 is a plane by the floor in the monitoring area, each divided area 402 is a plane by one surface of the pillar, and each divided area 403 is a plane by the other surface of the pillar. Since the plane candidate area detecting unit 571 calculates a plane that approximates each spatial coordinate for each divided area, the plane candidate area detecting unit 571 calculates the inclination (normal direction) of the plane corresponding to each divided area (plane candidate area). You can also. The shaded densities of the divided areas 401, 402, and 403 are displayed so as to differ depending on the inclination of the corresponding plane. As shown in FIG. 4, the slopes of the planes are substantially the same in the group of planes corresponding to the divided area 401, in the group of planes corresponding to the divided area 402, and in the group of planes corresponding to the divided area 403, respectively. The inclination of the plane is different between each group.

In the above-described example, the plane candidate area detecting unit 571 assumes that the reflectance at each position is constant when the position in the monitoring space corresponding to each pixel is on the same plane (constant reflectance model). The plane candidate area is detected using the dichroic reflection model, but the plane candidate area may be detected using the dichroic reflection model. In the dichroic reflection model, the reflectance R is expressed as the following equation (10).
Here, K _d is a diffuse reflection coefficient, K _s is a specular reflection coefficient, and n is a highlight characteristic, and each has a different value for each plane. Conceivable. In addition, α is an angle formed between the normal line of the plane and the light irradiation direction from the light source, and β is an angle formed between the specular reflection direction of the light beam from the light source and the line of sight (imaging direction). Is determined from the position (coordinates) of the pixels in the uniform illumination image and the installation information of the photographing unit 10.

Therefore, the spatial coordinate calculation unit 56 and the plane candidate area detection unit 571 calculate the optimum values of the parameters of the plane inclination, diffuse reflection coefficient, specular reflection coefficient, and highlight characteristic corresponding to each divided area, A plane corresponding to each divided region can be estimated. In this case, the distance ratio calculation means 55 calculates the distance D _n regarding each pixel by the following equation (11) obtained by modifying the equation (5) instead of the above equation (9).
Here, α _c and α _n are angles formed by the normal of the plane in the spatial coordinates in the three-dimensional space corresponding to the reference pixel and the other pixels, and the irradiation direction of light from the light source, and β _c and β _n Is the angle formed between the specular reflection direction of light from the light source and the line of sight (imaging direction) in the spatial coordinates in the three-dimensional space corresponding to the reference pixel and other pixels, respectively.
The distance ratio calculating means 55 sets a plurality of inclinations of the plane corresponding to each divided region in the range of −90 to 90 degrees for each divided region, and each angle α _c according to each inclination, α _n , β _c and β _n are calculated. Further, since the diffuse reflection coefficient K _d and the specular reflection coefficient K _s have the relationship of the following expression (12), the distance ratio calculating means 55 calculates the diffuse reflection coefficient K _d and the specular reflection coefficient K _s from the expression (12). Set multiple values within the range that satisfies the above). Further, the distance ratio calculation means 55 sets a plurality of highlight characteristics n within a range of 0 to ∞. Distance ratio calculating means 55, using each combination of parameters set and calculated as mentioned above, to calculate the distance D _n for each pixel by Expression (11).

  On the other hand, for each combination of parameters, the spatial coordinate calculation means 56 is a space in the three-dimensional space corresponding to each pixel included in the uniform illumination image based on each distance related to each pixel calculated by the distance ratio calculation means 55. Calculate the coordinates. Further, the plane candidate area detecting unit 571 uses a least square method for each parameter combination for each divided area in the uniform illumination image using a least square method on a spatial coordinate group in the three-dimensional space corresponding to the divided area. Is calculated. For each parameter, for each divided region, it is determined whether or not the number of pixels whose calculated distance between the plane and the spatial coordinates is equal to or smaller than a predetermined value is equal to or greater than a predetermined number. Is present as a plane candidate area. In addition, the plane candidate area detection unit 571, when there are a plurality of combinations in which the number of pixels whose distance between the calculated plane and each spatial coordinate is equal to or smaller than a predetermined value is equal to or larger than a predetermined number, Is determined as the plane corresponding to the divided area.

The plane candidate area combining unit 572 combines the plane candidate areas on the same plane among the plane candidate areas detected by the plane candidate area detecting unit 571.
The plane candidate area combining means 572 detects two adjacent divided areas as plane candidate areas, and the spatial coordinates in the three-dimensional space corresponding to each pixel included in the two divided areas are substantially on the same plane. If there are two, the two divided regions are combined as one plane candidate region. The plane candidate area combining unit 572 determines whether or not the area in the three-dimensional space corresponding to the two adjacent divided areas detected as the plane candidate area seems to be one plane, the distance ratio calculating unit 55, the spatial coordinate calculation The determination is made in the same manner as the means 56 and the plane candidate area detecting means 571.
That is, the plane candidate area combining unit 572 considers two adjacent divided areas detected as plane candidate areas as one area, and sets a reference pixel in the area. The plane candidate area combining unit 572 determines the distance between the position in the monitoring space corresponding to the reference pixel and the position of the imaging unit 10 based on the ratio between the luminance value of the reference pixel and the luminance value of each other pixel, The ratio of the distance between the position in the monitoring space corresponding to each other pixel in the region and the position of the imaging unit 10 is calculated. The plane candidate area combining unit 572 calculates the spatial coordinates in the three-dimensional space corresponding to each pixel included in the area based on the calculated ratio, and the calculated spatial coordinates exist on substantially the same plane. The regions are combined as one plane candidate region. The plane candidate area combining unit 572 executes the above process for each combination of two plane candidate areas adjacent to each other, and repeats the above process until there is no combination that can be combined.

The plane candidate area combining means 572 selects at least three or more pixels included in the area and calculates the spatial coordinates without calculating the three-dimensional coordinates for all the pixels in the two plane candidate areas adjacent to each other. It may be determined whether or not the calculated spatial coordinates are on substantially the same plane. The plane candidate area combining unit 572 may select any pixel as long as at least one pixel is selected from both plane candidate areas.
Further, the plane candidate area combining unit 572, when the angle formed by the normal directions of the planes corresponding to the two plane candidate areas adjacent to each other is a predetermined value or more, in the three-dimensional space corresponding to the two plane candidate areas It may be determined that the region is not a single plane and excluded from the target of the combining process.
Further, the plane candidate area combining unit 572 may exclude a plane candidate area having a predetermined size or less from the target of the combination process.
When the inclination of the plane to be detected is predetermined (for example, when only the plane extending in the vertical direction is detected), the plane candidate area combining unit 572 selects the normal direction of the plane corresponding to each plane candidate area. Referring to FIG. 5, a plane having an inclination other than the inclination may be excluded from the target of the combining process.
As a result, the processing load of the plane candidate area combining process is reduced, and the plane candidate area combining unit 572 can execute the combining process in a short time.

  FIG. 5 is a schematic diagram for explaining the combination of the planar candidate regions. In the image 500 shown in FIG. 5, the divided area 401 by the floor, the divided area 402 by one side of the pillar, and the divided area 403 by the other side of the pillar shown in FIG. 4 are combined into one plane candidate area 501, 502, 503, respectively. Has been. Note that the area 504 is not detected as a plane candidate area because the two areas of the pillars are included in each divided area. For this reason, each divided region in the region 504 is not combined with other plane candidate regions.

The plane candidate area updating unit 573 is a plane candidate whose spatial coordinates in the corresponding three-dimensional space are adjacent to the divided area among the pixels in the divided area that the plane candidate area detecting unit 571 did not detect as the plane candidate area. The plane candidate area is updated so that pixels existing on the plane in the three-dimensional space corresponding to the area are included in the plane candidate area.
The plane candidate area updating unit 573 performs the second division when the first divided area of the two adjacent divided areas is detected as the plane candidate area and the second divided area is not detected as the plane candidate area. It is determined whether or not the spatial coordinates in the three-dimensional space corresponding to the pixels included in the region exist on the plane related to the first divided region. The plane candidate area update unit 573 includes the pixels of the second divided area determined to exist on the plane in the plane candidate area related to the first divided area.

Therefore, the plane candidate area updating unit 573 detects one divided area (first divided area) as a plane candidate area and does not detect the other divided area (second divided area) as a plane candidate area. A combination of two divided areas adjacent to each other is extracted. The plane candidate area update unit 573 uses the above-described equation (9) for each extracted combination in the same manner as the distance ratio calculation unit 55, and each pixel included in the second divided area (non-plane candidate area). Recalculate the distance D _n for. However, the plane candidate area combining unit 572 uses the reference pixel set for the first divided area (plane candidate area) as the luminance value I _c and the distance D _c related to the reference pixel in the above equation (9). Is used to calculate the distance D _n for each pixel included in the second divided region.
The plane candidate area update unit 573 calculates the spatial coordinates in the three-dimensional space corresponding to each pixel included in the second divided area based on the calculated distance D _n . The plane candidate area update unit 573 determines whether or not the distance between the calculated spatial coordinates and the plane calculated by the plane candidate area detection unit 571 for the first divided area is equal to or smaller than a second predetermined value. Note that the second predetermined value may be the same value as the predetermined value used by the plane candidate area detecting unit 571 to detect the plane candidate area. Alternatively, the second predetermined value may be a value larger or smaller than the predetermined value used by the plane candidate area detecting unit 571 to detect the plane candidate area. If the distance is equal to or smaller than the second predetermined value, the plane candidate area updating unit 573 determines that the spatial coordinates in the three-dimensional space corresponding to the pixel included in the second divided area are the cubic corresponding to the first divided area. It is determined that the pixel exists on substantially the same plane as the plane in the original space, and the pixel is included in the plane candidate area related to the first divided area.
If the plane candidate area updating unit 573 determines that the specific pixel is included in the plurality of plane candidate areas, the plane candidate area updating unit 573 includes the specific pixel in each plane candidate area. Alternatively, the plane candidate area updating unit 573 may include the specific pixel only in the plane candidate area having the smallest distance from the corresponding plane among the plane candidate areas.

  Similar to the plane candidate area combining process, when the inclination of the plane to be detected is determined in advance, the plane candidate area update unit 573 refers to the normal direction of the plane corresponding to each plane candidate area. A plane having an inclination other than the inclination may be excluded from the update process. Thereby, the processing load of the update process of the plane candidate area is reduced, and the plane candidate area update unit 573 can execute the update process in a short time.

  FIG. 6 is a schematic diagram for explaining the update of the plane candidate region. The plane candidate areas 602 and 603 of the image 600 shown in FIG. 6 correspond to the plane candidate area 502 by one side of the pillar shown in FIG. 5 and the plane candidate area 503 by the other side in the non-plane candidate area 504, respectively. This area is updated so that the area to be included is included. The pixels included in the region 604 are pixels determined to be included in both the plane candidate regions 602 and 603, and the region 604 is included in both the plane candidate regions 602 and 603. As described above, there is a possibility that a plurality of planes are captured in the non-planar candidate region, not a plane. The plane candidate area updating unit 573 can appropriately detect the plane candidate area by updating the plane candidate area even when a plurality of planes are shown in the divided area.

The plane area determination unit 574 detects a plane area based on the detected plane candidate area.
The plane area determination unit 574 detects a plane candidate area detected by the plane candidate area detection unit 571, combined with the plane candidate area combination unit 572, and the plane candidate area updated by the plane candidate area update unit 573 corresponds to a plane existing in the monitoring space. It determines and detects as a plane area. The plane area determination unit 574 may detect only the plane candidate area whose normal direction is included in a predetermined direction among the detected plane candidate areas as the plane area. For example, the plane area determination unit 574 may detect only a plane candidate area extending in the vertical direction whose normal direction is the horizontal direction as a plane area. In addition, the plane area determination unit 574 may detect only a plane candidate area having a size equal to or larger than a predetermined size (for example, a size regarded as a pillar) as a plane area among the detected plane candidate areas.
The plane area determination unit 574 stores the information of each detected plane area in the storage unit 40 in association with the information on the normal direction (plane inclination) of the plane corresponding to the plane candidate area. Note that the plane area determination unit 574 may output the detected plane area to the output unit 30 without using the storage unit 40.

Further, the plane area determination unit 574 periodically detects the plane area, and when the position, size, etc. of the plane area in the uniform illumination image has changed, it indicates that the layout of the monitoring space may have been changed. You may notify via the output part 30. FIG.
In addition, the plane area determination unit 574 stores the positions of walls, pillars, and the like existing in the monitoring space in advance in the storage unit 40, and when the detected plane area and the position stored in the storage unit 40 do not match, You may notify via the output part 30 that there exists a possibility that the imaging | photography part 10 was moved (plan action).

  When the operation mode is the target detection mode, the target detection unit 58 acquires an input image obtained by shooting the monitoring space from the shooting unit 10, and detects a detection target existing in the monitoring space from the acquired input image. For this purpose, the target detection unit 58 includes a change area detection unit 581, a target determination unit 582, and the like.

The change area detection unit 581 detects a change area in which the luminance value changes from a plurality of images obtained by shooting the monitoring space at different timings.
The change area detection and output unit 581 calculates the absolute value of the difference between the luminance value of each pixel in the input image and the luminance value of each corresponding pixel of the background image stored in the storage unit 40, and calculates the calculated difference. A region of a pixel whose absolute value is equal to or greater than a predetermined threshold is extracted as a difference region. The change area detection and output unit 581 groups difference areas of the same object by labeling and detects them as change areas. That is, the change area detection and output unit 581 groups pixels adjacent to each other (eight connected) in the difference area extracted from one frame, and groups adjacent to each other (located within a predetermined range). Based on the size or positional relationship, the combined area is combined as a change area.
Note that the change area detection and output unit 581 may detect the change area using other known techniques such as inter-frame difference, normalized correlation between the background image and the input image, and a learning discriminator.

  The object determination means 582 determines whether or not the detection target is shown in the change area based on the degree of overlap of the change area with the plane area. If the detection target is shown in the change area, the result including the determination result The signal is output to an external device via the output unit 30.

The object determination unit 582 first determines whether or not an object appearing in the change area is likely to be a detection target based on the feature quantity such as the size of the change area and the aspect ratio. For example, when the detection target is a person, the target determination unit 582 has a predetermined range in which the size of the change area is within a predetermined range corresponding to the size of the person, and the aspect ratio of the change area corresponds to the aspect ratio of the person. It is determined whether or not the object shown in the change area is a person depending on whether or not it is within the range. The size of each change area is converted into an actual size using the position in the input image, the installation information of the photographing unit 10 stored in the storage unit 40, and the like.
Next, the target determination unit 582 reads the information of the plane area detected by the plane area detection unit 57 from the storage unit 40, and the degree of overlap of each change area determined that the object shown is likely to be a person is overlapped with the plane area. A certain degree of duplication is calculated. For example, when the detection target is a person, the target determination unit 582 reads information on a plane area extending in the vertical direction from among the plane areas stored in the storage unit 40, and the degree of overlap between each change area and the plane area. Is calculated. The object determination unit 582 determines that a person is not shown in the change area when the degree of overlap is a predetermined value (for example, 98%) or more. On the other hand, if the degree of overlap is less than a predetermined value, the target determination unit 582 determines that a person is shown in the change area.

FIG. 7A is a schematic diagram for explaining the relationship between a planar region and a person, and FIG. 7B is a schematic diagram for explaining the relationship between the planar region and a small animal or light. As shown in an image 700 in FIG. 7A, a person usually stands on a plane extending in a horizontal direction such as a floor surface and stands on a plane extending in a vertical direction such as a wall and a pillar. Can not. Accordingly, at least a part (lower part) of the change area 704 in which the person is shown is included in the plane area 701 extending in the horizontal direction, and the entire change area 704 in which the person is shown is extended in the vertical direction. 702 is not included. On the other hand, as shown in an image 710 in FIG. 7B, when all of the change areas 711 and 713 are included in the plane areas 702 and 703 extending in the vertical direction, the change areas 711 and 713 include small animals, There is a high possibility that light is reflected. Therefore, the object determination unit 582 can accurately determine whether or not a person is shown in the change area by using the overlapping degree between the change area and the plane area.
When at least one of the planar regions 702 and 703 is a planar region extending in the vertical direction, the region 706 included in both the planar regions 702 and 703 is regarded as extending in the vertical direction, and the target object Used to determine In addition, depending on the application, when either one of the planar regions 702 and 703 is not a planar region extending in the vertical direction (in the horizontal direction), the region 706 extends in a direction other than the vertical direction (horizontal direction). May be considered.

Note that the object determination unit 582 calculates the overlap between each change region and the plane region extracted by the change region detection unit 581 first, and only the change region where the overlap is less than a predetermined value has a size and an aspect ratio. It may be determined whether or not the object shown in the change area is likely to be detected based on the feature amount.
Further, the object determination unit 582 may determine whether or not the detection target is shown in the change area based on the position where the change area overlaps the planar area. For example, if the lower end of the change area overlaps with the planar area extending in the vertical direction, the object determination unit 582 determines that no person is shown in the change area, and if not, the change area It is determined that a person is reflected in.
Moreover, the object determination means 582 determines that a person is reflected in the change area when the overlap degree between each change area and the planar area extending in the horizontal direction is equal to or greater than a predetermined value (for example, 10%). If the degree is less than a predetermined value, it may be determined that no person is shown in the change area.
In addition, when the lower end of the change area overlaps the planar area extending in the horizontal direction, the object determination unit 582 determines that a person is reflected in the change area. It may be determined that no person is shown in the image.
Also in these cases, the object determination unit 582 can accurately determine whether or not a person is shown in the change area.

  In addition, when the detection target is a small animal, the object determination unit 582 determines that the small animal exists in the change area when the overlap between the change area and the plane area extending in the vertical direction is equal to or greater than a predetermined value (for example, 90%). It may be determined that it is reflected. Moreover, the object determination means 582 may determine whether or not a small animal is shown in the change area based on the temporal change (movement direction) of the change area on the vertical plane. For example, when the change area moves upward or downward in a plane area extending in the vertical direction, the object determination unit 582 determines that a small animal is reflected in the change area.

FIG. 8 is a flowchart showing the operation of the planar area detection process performed by the image processing apparatus 1.
The operation of the planar area detection process according to this embodiment will be described below with reference to the flowchart shown in FIG. The operation flow described below is executed by the control unit 50 according to a program stored in the storage unit 40 and read by the control unit 50.
First, the image acquisition unit 53 acquires a lighting input image and a lighting input image from the photographing unit 10 (step S101). Next, the image acquisition unit 53 generates a disturbance light removed image and generates a uniform illumination image (step S102). Next, the area dividing means 54 divides the uniform illumination image into a plurality of divided areas (step S103). Next, the distance ratio calculating means 55 for each divided region in the uniform illumination image, the distance between the position in the monitoring space corresponding to the reference pixel and the position of the photographing unit 10 and the monitoring corresponding to each other pixel. A ratio of the distance between the position in the space and the position of the photographing unit 10 is calculated (step S104). Next, the spatial coordinate calculation means 56 calculates the spatial coordinates in the three-dimensional space corresponding to each pixel included in the uniform illumination image based on the ratio calculated by the distance ratio calculation means 55 (step S105).

  Next, the plane candidate area detection unit 571 detects a plane candidate area from each divided area in the uniform illumination image (step S106). Next, the plane candidate area combining unit 572 combines the plane candidate areas on the same plane among the plane candidate areas detected by the plane candidate area detecting unit 571 (step S107). Next, the plane candidate area updating unit 573 has the corresponding spatial coordinates in the three-dimensional space adjacent to the divided area among the pixels in the divided area that the plane candidate area detecting unit 571 did not detect as the plane candidate area. The plane candidate area is updated so that pixels existing on the plane in the three-dimensional space corresponding to the plane candidate area to be included are included in the plane candidate area (step S108). Next, the plane area determination unit 574 detects a plane area based on the detected plane candidate area (step S109), and ends a series of steps.

  Note that the update process of the plane candidate area in step S108 may be executed before the plane candidate area combining process in step S107. Further, the processing of step S107 and / or S108 may be omitted. In the present embodiment, an example in which a plane is detected using a uniform illumination image is shown. However, when the illumination unit 20 emits light with substantially uniform intensity in each direction, the uniform illumination image in step S102. Even if the generation process is omitted and the plane is detected using the disturbance light removed image as it is, a certain effect can be obtained. In an environment where there is no influence of disturbance light, a uniform illumination image may be generated without generating the disturbance light removal image, or the plane may be detected using the lighting input image as it is.

FIG. 9 is a flowchart showing the operation of target detection processing by the image processing apparatus 1 when the detection target is a person.
Hereinafter, the operation of the object detection process according to the present embodiment will be described with reference to the flowchart shown in FIG. The operation flow described below is executed by the control unit 50 according to a program stored in the storage unit 40 and read by the control unit 50.
First, the target detection unit 58 acquires an input image from the imaging unit 10 (step S201). Next, the change area detection unit 581 detects a change area from the input image (step S202). When the change area is not detected from the input image, the target detection unit 58 returns the process to step S201 and waits until the input image is acquired from the imaging unit 10 again. On the other hand, when a change area is detected from the input image, the change area detection unit 581 executes the processing of steps S204 to S210 for each detected change area.

  First, the target determination unit 582 calculates a human feature amount for the detected change area (step S204). Next, the target determination unit 582 determines whether or not the object shown in the change area is a person based on the calculated feature amount (step S205). If the object shown in the change area is not like a person, the target determination unit 582 determines that no person is shown in the change area (step S206). On the other hand, if the object in the change area is likely to be a person, the target determination unit 582 calculates the degree of overlap between the change area and the plane area extending in the vertical direction (step S207). Next, the target determination unit 582 determines whether or not the degree of overlap is a predetermined value or more (step S208). If the degree of overlap is greater than or equal to the predetermined value, the target determination unit 582 determines that no person is shown in the change area (step S206). On the other hand, if the degree of overlap is less than the predetermined value, the target determination unit 582 determines that a person is shown in the change area (step S209), and sends a result signal including the determination result to the external device via the output unit 30. Output (step S210). The object determination unit 582 executes the processes of steps S204 to S210 for each detected change area. When the processes for all the change areas are completed, the process returns to step S201, and the input image is again received from the imaging unit 10. Wait until you get it.

  As described above, the image processing apparatus according to the present embodiment is based on the ratio of the luminance value of each pixel included in the photographed image, between the position in the monitoring space corresponding to each pixel and the position of the photographing unit. The ratio of the distance is calculated. Then, the image processing device calculates the spatial coordinates in the three-dimensional space corresponding to each pixel included in the captured image based on the calculated distance ratio, and whether the calculated spatial coordinates exist on substantially the same plane. Depending on whether or not, a planar area is detected from the captured image. As a result, the image processing apparatus can accurately detect the planar area from the image photographed by the photographing apparatus even when the positional relationship between the photographing apparatus and the space photographed by the photographing apparatus is not predetermined. Furthermore, the image processing apparatus can accurately detect a region where a plane exists from an image photographed by the photographing apparatus even when there is only one photographing unit and illumination unit.

  In addition, the image processing apparatus according to the present embodiment generates a uniform illumination image in which a monitoring space in which illumination with substantially uniform intensity is irradiated is reflected from the disturbance light-removed image from which the influence of disturbance light has been removed. The obtained uniform illumination image is analyzed to detect a plane area in which the plane in the monitoring space is reflected. Thereby, the image processing apparatus can detect a planar area with higher accuracy.

  As described above, those skilled in the art can make various modifications in accordance with the embodiment to be implemented within the scope of the present invention.

DESCRIPTION OF SYMBOLS 1 Image processing apparatus 10 Image pick-up part 53 Image acquisition means 55 Distance ratio calculation means 56 Spatial coordinate calculation means 57 Plane area detection means 571 Plane candidate area detection means 572 Plane candidate area combination means 573 Plane candidate area update means 581 Change area detection means 582 Target judgment means

Claims (4)

An image acquisition unit that acquires a captured image of a predetermined space captured by the imaging device;
Based on the ratio between the luminance value of the reference pixel included in the captured image and the luminance value of each other pixel, the distance between the position in the predetermined space corresponding to the reference pixel and the position of the imaging device, A distance ratio calculation unit that calculates a ratio of a distance between the position in the predetermined space corresponding to each other pixel and the position of the photographing apparatus;
A spatial coordinate calculation unit that calculates a spatial coordinate in a three-dimensional space corresponding to each pixel included in the captured image according to the ratio calculated by the distance ratio calculation unit;
A plane area detection unit that detects, as a plane area, a pixel group in which the spatial coordinates corresponding to the pixels included in the pixel group among the pixel groups close to each other in the captured image are on the same plane;
An image processing apparatus comprising: An area dividing unit that divides the captured image into a plurality of divided areas;
The planar area detection unit
Among the divided areas, a plane candidate area detecting unit that detects a divided area in which the spatial coordinates corresponding to each pixel included in the divided area exist on substantially the same plane as a plane candidate area;
When two divided areas adjacent to each other are detected as the plane candidate areas and the spatial coordinates corresponding to the pixels included in the two divided areas are on substantially the same plane, the two divided areas are identified as one. A plane candidate area combining unit that combines as two plane candidate areas,
The image processing apparatus according to claim 1, wherein the planar area is detected based on the planar candidate area. An area dividing unit that divides the captured image into a plurality of divided areas;
The planar area detection unit
Among the divided areas, a plane candidate area detecting unit that detects a divided area in which the spatial coordinates corresponding to each pixel included in the divided area exist on substantially the same plane as a plane candidate area;
Pixels included in the second divided region when the first divided region of the two divided regions adjacent to each other is detected as the planar candidate region and the second divided region is not detected as the planar candidate region It is determined whether or not the spatial coordinates corresponding to are on the plane related to the first divided area, and the pixels of the second divided area determined to be on the plane are the first A plane candidate area update unit to be included in the plane candidate area related to the divided area,
The image processing apparatus according to claim 1, wherein the planar area is detected based on the planar candidate area. Further, a storage unit for irradiating direction of the light storing light distribution information of the installed lighting device so as to be substantially the same as the photographing direction of the photographing device,
The image acquisition unit
The imaging device is illuminated input image obtained by photographing a predetermined space in a state where the lighting device is turned on, and obtains the off input image in which the lighting device is the imaging device have taken the prescribed space in a state of being turned off, the Disturbance light removal image generation means for generating a disturbance light removal image from which the influence of disturbance light is removed based on the lighting input image and the extinction input image;
Based on the disturbance light-removed image and the light distribution information, a uniform illumination image in which the predetermined space in a state where illumination with substantially uniform intensity is irradiated toward the visual axis direction of each pixel in the image is generated. has a uniform illumination image generation means for, the,
The image processing apparatus according to claim 1, wherein the uniform illumination image is acquired as the captured image .