KR20180094762A - Apparatus for Infrared sensing footing device, Method for TWO-DIMENSIONAL image detecting and program using the same - Google Patents

Abstract

Disclosed are an infrared sensing footing device for accurately and precisely determining and tracking the position and motion of a user′s foot using an infrared optical detection method, a method for detecting two-dimensional image using the same and a program. The present invention includes an infrared ray radiating part that emits an infrared ray radially and parallel to the certain height of a foot plate; an infrared ray photographing part for receiving reflected light reflected at one side of a foot touching the foot plate; and a control part for analyzing the image received by the infrared ray photographing part and processing a coordinate value on the foot plate to determine the position and the motion of the foot.

Description

FIELD OF THE INVENTION [0001] The present invention relates to an infrared sensing footrest device, a two-dimensional image sensing method using the same,

The present invention relates to an infrared sensing scaffolding device applied to a virtual reality treadmill, a two-dimensional image sensing method using the same, and a program.

Recent virtual reality (VR) devices have been used together with virtual reality treadmill devices to provide a 360 degree three-dimensional virtual experience that is immersive to the user through goggles or head mounted displays (HMDs).

The virtual reality treadmill device is intended to provide an environment in which the user can experience comfortable and immersive experience of VR contents. The virtual reality treadmill device overcomes the limited space utilization method of unnatural space movement and room scale, which is one of the problems of VR, So that the infinite space in the VR can be moved smoothly.

When a user intuitively performs a stepping motion as if it is moving in a real world, the movement is recognized and implemented as a space movement in the VR content.

For this purpose, it is necessary to develop a technique for judging and tracking the foot position and movement more accurately and precisely.

Japanese Patent Application Laid-Open No. 2008-67737 (Mar. 27, 2008)

SUMMARY OF THE INVENTION An object of the present invention is to provide an infrared sensing stepping device for accurately and precisely determining and tracking the position and motion of a user's foot using an infrared optical detection method, a two-dimensional image detecting method using the same, and a program.

The problems to be solved by the present invention are not limited to the above-mentioned problems, and other problems which are not mentioned can be clearly understood by those skilled in the art from the following description.

According to an aspect of the present invention, there is provided an infrared ray scooping apparatus comprising: an infrared ray emitting unit that emits infrared rays radially and parallel to a predetermined height of a foot plate; An infrared ray photographing unit for receiving reflected light reflected at one side of a foot contacting the foot plate; And a control unit for analyzing the image received by the infrared ray photographing unit and processing coordinate values on the foot plate to determine the foot position and movement.

And a sensing module including the infrared ray emitting unit and the infrared ray photographing unit integrally. The sensing module may be disposed at an outer periphery of the foot plate, and may be disposed at an asymmetric position so as not to face each other.

The infrared ray photographing unit is preferably a two-dimensional infrared camera.

The controller may apply a blob detection algorithm in which image binarization is applied to a flood fill algorithm to detect the image by applying a blob detection algorithm and to minimize a load.

The blob detection algorithm of the control unit applies a monochromatic bit map to the circular foot plate, converts the monochromatic bit map into an array form to mask the ROI, corrects the distortion according to the camera angle and the angle of view using the two- , The number of coordinates to be divided can be set, and the number of each case can be calculated and the image can be divided by dividing the image.

According to another aspect of the present invention, there is provided an image detecting method including: emitting infrared rays radially and parallel to a fixed height of a foot plate; Receiving infrared light reflected from one side of a foot contacting the foot plate; And analyzing the image received by the infrared ray photographing unit and processing the coordinate values on the foot plate to determine the foot position and the movement.

Wherein the step of determining the position and motion of the foot comprises the steps of: detecting a blob detection algorithm by applying a blob detection algorithm, and applying a blob detection algorithm to the flood fill algorithm to minimize the load, Can be applied.

The blob detection algorithm may include a ROI masking step of applying a monochromatic bitmap to a circular footstool and converting the monochromatic bitmap into an array form to mask an area of interest; A coordinate conversion step of correcting distortion due to a camera angle and an angle of view using a two-dimensional conversion table; And an image dividing step of calculating the number of each case by setting the number of coordinates to be divided.

Wherein the coordinate transformation step comprises: Generating a one-dimensional transformation table in the Y-axis direction by holding a point of X = 0 at a reference point of the Y-coordinate system; Determining a conversion ratio at which the output ratio of Y is converted as the displacement of the X coordinate increases with reference to the table;

And generating the two-dimensional conversion table by obtaining a slope in which the X-coordinate system changes according to the length of the Y-axis.

Wherein the image segmentation step comprises: Calculating a variance of the set of coordinates and determining how many touches the coordinate set displayed on the image is to be recognized; If the variance exceeds a predetermined value, drawing a first trend line using a least squares method to determine which coordinate group belongs to each of the coordinate groups; And judging conformity of the coordinate system by dividing the two groups into two groups of two coordinate systems.

The step of determining suitability of the coordinate system includes: Obtaining a straight line orthogonal to the primary trend line passing the center point of the entire coordinate set and dividing the straight line into two groups on the basis of the straight line; And obtaining a standard deviation of each of the groups, and selecting a coordinate system having a small standard deviation.

It is preferable that the primary trend line is drawn differently in the XY coordinate system and the YX coordinate system.

According to another aspect of the present invention, there is provided an image detecting program using an infrared sensing scaffold, which is stored in a recording medium, in combination with a computer, which is hardware, to execute any one of the methods described above.

Other specific details of the invention are included in the detailed description and drawings.

According to the infrared sensing footrest device, the two-dimensional image sensing method and the method using the infrared sensing footrest device according to an embodiment of the present invention, when the infrared rays emitted from the infrared device installed at a specific height are formed on the user's feet using the infrared optical sensing method, The image formed on the foot is tracked through the 3D infrared radiographing unit, and the photographed image is analyzed and implemented as a movement in the VR content, so that the position and motion of the user's foot can be more accurately and accurately judged and tracked.

The effects of the present invention are not limited to the above-mentioned effects, and other effects not mentioned can be clearly understood by those skilled in the art from the following description.

1 is a block diagram showing an infrared sensing footrest according to an embodiment of the present invention.
FIG. 2 is a conceptual view illustrating operation of the infrared sensing footrest according to the embodiment of the present invention,
FIG. 3 is a plan view of the operation of the infrared sensing footrest according to the embodiment of the present invention,
4 to 8 are flowcharts illustrating an image detecting method according to an embodiment of the present invention,
9 is a view showing a masked screen according to the present invention,
10 is a diagram illustrating a process of creating a one-dimensional transformation table in the Y-axis direction by holding the reference point of the Y-coordinate system according to the present invention,
11 is a Y-axis output graph according to the present invention,
12 is a diagram illustrating a process of calculating a variance of a coordinate set according to the present invention;
13 is a graph showing a coordinate set distributed in the Y-axis direction according to the present invention,
FIG. 14 is a view showing a screen divided into two groups in two coordinate systems to determine suitability of the coordinate system according to the present invention; FIG.
15 is a view showing the degree of coagulation of different groups according to the present invention.

BRIEF DESCRIPTION OF THE DRAWINGS The advantages and features of the present invention, and the manner of achieving them, will be apparent from and elucidated with reference to the embodiments described hereinafter in conjunction with the accompanying drawings. It should be understood, however, that the invention is not limited to the disclosed embodiments, but may be embodied in many different forms and should not be construed as limited to the embodiments set forth herein, Is provided to fully convey the scope of the present invention to a technician, and the present invention is only defined by the scope of the claims.

The terminology used herein is for the purpose of illustrating embodiments and is not intended to be limiting of the present invention. In the present specification, the singular form includes plural forms unless otherwise specified in the specification. The terms " comprises "and / or" comprising "used in the specification do not exclude the presence or addition of one or more other elements in addition to the stated element. Like reference numerals refer to like elements throughout the specification and "and / or" include each and every combination of one or more of the elements mentioned. Although "first "," second "and the like are used to describe various components, it is needless to say that these components are not limited by these terms. These terms are used only to distinguish one component from another. Therefore, it goes without saying that the first component mentioned below may be the second component within the technical scope of the present invention.

Unless defined otherwise, all terms (including technical and scientific terms) used herein may be used in a sense that is commonly understood by one of ordinary skill in the art to which this invention belongs. In addition, commonly used predefined terms are not ideally or excessively interpreted unless explicitly defined otherwise.

Hereinafter, embodiments of the present invention will be described in detail with reference to the accompanying drawings.

1 is a block diagram showing an infrared sensing footrest according to an embodiment of the present invention.

As shown in the drawing, when infrared rays emitted from an infrared device installed at a specific height are formed on a user's foot using an infrared optical detection system, the image formed on the foot is tracked through a two-dimensional infrared (IR) camera, The video can be analyzed and implemented as moving within VR content.

The infrared sensing footrest according to an embodiment of the present invention includes a footrest 21, a plurality of sensing modules 51 having an infrared ray emitting unit 53, an infrared ray photographing unit 55, and a controller 57 ).

In the sensing module 51 of the present invention, the light emitting unit and the light receiving unit are integrated. The infrared emitting unit 53 is used as the light emitting unit, and the infrared ray photographing unit 55 is used as the light receiving unit.

The sensing module 51 may include a plurality of sensing modules 51 disposed around the footrest 21 in order to more accurately grasp the position of the foot.

In particular, the sensing module 51 is preferably disposed at an asymmetric position so as not to face each other about the footrest 21 in order to prevent interference of infrared rays.

At least three or more odd sensing modules 51 may be installed to prevent symmetry of the facing positions. That is, as shown in FIG. 3, three sensing modules 51 are arranged in an asymmetric position around the circular pedestal 21 so as not to face each other.

The infrared ray emitting portion 53 emits infrared rays radially and parallelly at a certain height of the footrest 21. [

The infrared ray photographing unit 55 receives reflected light reflected on one side of the foot that is in contact with the foot plate 21. [ The infrared ray photographing unit 55 may be a two-dimensional infrared camera.

Accordingly, the infrared ray emitting portion 53 emits infrared rays in parallel with the footstool 21, and there is no reflected light unless the foot touches the bottom of the footstep 21. FIG. When the feet contact the floor of the footrest 21, infrared rays shot by the infrared ray emitting portion 53 are reflected and received by the infrared ray photographing portion 55.

The infrared ray photographing unit 55 can capture an image of a specific type of reflected light and measure the coordinates of the reflected light through image processing.

The infrared ray photographing unit 55 corresponding to the light receiving unit includes a lens (not shown) for largely forming an image and a semiconductor device (not shown) for converting the intensity of the light into an analog signal. As a semiconductor device, a CCD type and a CMOS type can be selectively applied as a kind of two-dimensional array of ambient light sensors. Color can be implemented by attaching RGB filter on CCD panel.

The infrared ray photographing unit 55 may use an image sensor (not shown) equipped with an IR band-pass filter (not shown) or may be used by attaching an IR band-pass filter directly to the lens.

The infrared ray photographing unit 55 may be a camera module coupled with a lens and an image sensor. The camera module type is connected to the board type and the FFC cable, and can be selectively applied according to the application.

In a specific embodiment, the image sensor inserted into the camera of the present invention can apply VGA or QVGA resolution depending on the frame size, and can control the processing speed of data according to the resolution. The lens can be selected with an IR bandpass filter inserted.

The control unit 57 analyzes the image received by the infrared ray photographing unit 55 and processes coordinate values on the foot plate to determine the foot position and movement. The control unit 57 may be a normal MCU.

As a specific example, an MCU with a DCMI interface can be used to quickly receive and process high-speed camera frames.

The control unit 57 may be installed in each of the plurality of sensing modules 51 and may be installed outside the module through respective communication lines or communication means not shown, can do.

The controller 57 may apply a blob detection algorithm that detects the image by applying a blob detection algorithm and applies an image binarization to a flood fill algorithm to minimize the load have.

In image processing, binarization refers to changing all pixels that are lighter than a given threshold to white, and all pixels that are not. The present invention can selectively apply global fixed thresholding or locally adaptive thresholding according to a specific condition.

More specifically, the blob detection algorithm of the control unit 57 applies a monochromatic bitmap to the circular footstool 21, converts the monochromatic bitmap into an array form to mask the region of interest, and uses a two- , The number of coordinates to be divided can be set, the number of each case can be calculated, and the image can be divided by dividing the image.

FIG. 2 is a conceptual view of operation of the infrared sensing footrest according to an embodiment of the present invention, and FIG. 3 is a conceptual view illustrating operation of the infrared sensing footrest according to an embodiment of the present invention.

3, the infrared sensing pedestal device may include three sensing modules 51, and three sensing modules 51 may be arranged at regular intervals or irregularly along the perimeter of the footrest 21 , The data acquired by each sensing module 51 can be combined to calculate the foot motion.

For example, each sensing module 51 may be disposed at an interval of 120 degrees with respect to the center of the foot plate 21, and each sensing module 51 senses the motion of the foot of the user 1 within each detection range, Lt; / RTI >

Three sensing modules (51) are disposed on the outer periphery of the foot plate, and are disposed at asymmetric positions so as not to face each other.

Here, the sensing module 51 may be provided in a different position from the pedestal 21 in four or more modules.

As shown in the drawing, when infrared rays emitted from the infrared ray emitting portion 53 installed at a position 5 to 10 mm higher than the footrest 21 at a specific height from the footrest 21 are formed on the foot of the user 1 Dimensional infrared camera 55 located below the infrared ray emitting unit 53 is analyzed through the control unit 57 to generate movement data of the foot of the user 1. [

The controller 57 integrates the movement data transmitted from each sensing module 51 to calculate the center point of the reconstruction and footing as one spatial coordinate and moves the movement data of the foot of the user 1 analyzed on the integrated spatial coordinate Command to generate data usable in the VR content.

Hereinafter, an image detecting method according to an embodiment of the present invention will be described in detail with reference to FIGS.

Referring to FIG. 4, an image detection method according to an exemplary embodiment of the present invention includes: inputting an infrared image (S100) to be implemented in a control unit included in a computer or an apparatus; A step S200 of analyzing the image of the infrared image, and a step S300 of processing the coordinates of the analyzed image to determine the position and movement of the foot.

More specifically, in step S300 of determining the foot position and motion by processing the image, the controller 57 detects the image by applying a blob detection algorithm. In order to minimize the load, The image can be detected by applying a blob detection algorithm applying image binarization to the Flood Fill algorithm.

The infrared ray emitting portion 53 emits light in parallel to the footstool 21 and at this time there is no reflected light unless the foot touches the bottom of the footstool 21 but when the foot touches the bottom of the footstep 21, Light (infrared ray) shot by the unit 53 is reflected and recognized by the infrared ray photographing unit 55.

The infrared ray photographing unit 55 can capture an image of a specific type of reflected light, and the control unit 57 can measure the coordinates of the reflected light through image processing.

That is, the controller 57 processes the coordinate values of the analyzed image to determine the foot position and movement. Specifically, the controller 57 analyzes the image by applying a blob detection algorithm.

At this time, a blob detection algorithm applying image binarization (Thresholding) to the flood fill algorithm can be applied to minimize the load.

In addition, the control unit 57 may selectively apply global fixed thresholding or locally adaptive thresholding according to preset predetermined conditions to increase image processing efficiency.

Referring to FIG. 5, the blob detection algorithm according to an embodiment of the present invention includes an interest area masking step S310 of applying a monochrome bitmap to a circular footstool 21 and converting the monochromatic bitmap into an array form, ; A coordinate conversion step (S320) of correcting a distortion (Distortion) according to the camera angle and the angle of view using the two-dimensional conversion table; And an image dividing step (S330) of setting the number of coordinates to be divided and calculating the number of each case.

In the interest area masking step (S310), masking is performed on the circular footstool to reduce environmental factors. The screen subjected to the masking processing is as shown in Fig. To do this, you need a tool to convert the picture to a monochrome bitmap and convert it to an array. You can use the XBM format as a practical example.

In the coordinate transformation step S320, a two-dimensional table is used for coordinate transformation. In addition, a separate conversion tool can be used to compensate for camera angles and distortion depending on the angle of view.

Referring to FIG. 6, the coordinate transformation step S320 according to an embodiment of the present invention includes: A step (S321) of holding a point of X = 0 at a reference point of the Y coordinate system and generating a one-dimensional conversion table in the Y-axis direction; Determining a conversion ratio at which the output ratio of Y is converted as the displacement of the X coordinate becomes larger with reference to the table (S322); And a step (S323) of generating the two-dimensional conversion table by obtaining a slope in which the X-coordinate system changes according to the length of the Y-axis.

At this time, as shown in FIG. 10, first, a point of X = 0 is set as a reference point of the Y coordinate system, and a one-dimensional conversion table in the Y-axis direction is created.

Based on this fact, the conversion ratio is determined based on the fact that the output ratio of Y changes as the displacement of the X coordinate becomes larger.

Since the input width of the X-coordinate system varies almost linearly with the length of the Y-axis, the gradient is calculated to generate a conversion table (see Y-axis output graph in FIG. 11).

Referring to FIG. 7, the image segmenting step S330 according to an embodiment of the present invention includes: Calculating a variance of the coordinate set and determining (S331) how many touches the coordinate set displayed on the image is to be recognized; If the variance exceeds the specified value, a primary trend line using the least squares method is drawn to determine which coordinate group belongs to each coordinate group (S332); And a step (S333) of determining suitability of the coordinate system by dividing the two groups into two groups of two coordinate systems.

The object of the image processing of the present invention is the "foot" of the human body. Since the infrared reflected light is generated on the front of the foot, it is difficult to find the correlation of the coordinates of the reflected light measured at various angles, and it is sensitive to environmental factors. Since the form of the coordinate set formed by the size of the foot, the shape of the shoe, etc. varies, it is necessary to focus on the fact that the "foot" is "two". Based on the above information, we should design an algorithm that can calculate the number of each case by setting the number of coordinates to be divided to 0 ~ 2.

Accordingly, first, the variance of the coordinate set is calculated to determine whether the coordinate set displayed on the image is recognized as one touch or two touches (see FIG. 12).

If the variance exceeds the specified number, it is necessary to determine to which coordinate group the individual coordinate belongs. For this purpose, draw a first trend line using the least squares method. The trend line is drawn differently in the XY coordinate system and the YX coordinate system because the value used as the basis of the least squares method is the Y value in the XY coordinate system and the X value in the YX coordinate system.

For example, as shown in FIG. 13, a set of coordinates distributed in the Y-axis direction can not be obtained as shown in the yellow graph (a) because a linear coefficient is determined in a direction that minimizes the Y displacement in the XY coordinate system. However, the pink (b) displayed in the YX coordinate system seems more appropriate when viewed as a distribution.

Referring to FIG. 8, the step of determining conformity of the coordinate system (S333) according to an embodiment of the present invention includes: A step (S333a) of obtaining a straight line passing through the center point of the entire set of coordinates and orthogonal to the trend line, and dividing the line into two groups on the basis of the straight line; And a step (S333b) of obtaining a standard deviation of each of the two groups and selecting a coordinate system having a small standard deviation. It is preferable that the primary trend line is drawn differently in the XY coordinate system and the YX coordinate system.

Here, in order to judge the suitability of the coordinate system, firstly, the two coordinate systems are divided into two groups. In order to divide the group, a straight line orthogonal to the trend line passing through the center point of the entire coordinate set is obtained, and both groups are divided based on this straight line (see Fig. 14).

The two straight lines shown in Fig. 14 are the perpendicular lines of the trend lines obtained from the respective coordinate systems. You can divide the groups based on this, obtain the standard deviation of each, and select a coordinate system with a small standard deviation.

In particular, the coordinate sets distributed vertically or horizontally in the coordinate system have different degrees of cohesion, as shown in the above example, because the trend line is drawn differently depending on which coordinate system is used (refer to FIG. 15).

As described above, the image detecting method according to an embodiment of the present invention can be implemented as a program (or application) to be executed in combination with a computer (i.e., a local computer or a server) which is hardware and stored in a medium.

The above-described program may be stored in a computer-readable medium such as C, C ++, JAVA, machine language, or the like that can be read by the processor (CPU) of the computer through the device interface of the computer, And may include a code encoded in a computer language of the computer. Such code may include a functional code related to a function or the like that defines necessary functions for executing the above methods, and includes a control code related to an execution procedure necessary for the processor of the computer to execute the functions in a predetermined procedure can do. Further, such code may further include memory reference related code as to whether the additional information or media needed to cause the processor of the computer to execute the functions should be referred to at any location (address) of the internal or external memory of the computer have. Also, when the processor of the computer needs to communicate with any other computer or server that is remote to execute the functions, the code may be communicated to any other computer or server remotely using the communication module of the computer A communication-related code for determining whether to communicate, what information or media should be transmitted or received during communication, and the like.

The medium to be stored is not a medium for storing data for a short time such as a register, a cache, a memory, etc., but means a medium that semi-permanently stores data and is capable of being read by a device. Specifically, examples of the medium to be stored include ROM, RAM, CD-ROM, magnetic tape, floppy disk, optical data storage, and the like, but are not limited thereto. That is, the program may be stored in various recording media on various servers to which the computer can access, or on various recording media on the user's computer. In addition, the medium may be distributed to a network-connected computer system so that computer-readable codes may be stored in a distributed manner.

The steps of a method or algorithm described in connection with the embodiments of the present invention may be embodied directly in hardware, in software modules executed in hardware, or in a combination of both. The software module may be a random access memory (RAM), a read only memory (ROM), an erasable programmable ROM (EPROM), an electrically erasable programmable ROM (EEPROM), a flash memory, a hard disk, a removable disk, a CD- May reside in any form of computer readable recording medium known in the art to which the invention pertains.

While the present invention has been described in connection with what is presently considered to be practical exemplary embodiments, it is to be understood that the invention is not limited to the disclosed embodiments, but, on the contrary, You will understand. Therefore, it should be understood that the above-described embodiments are illustrative in all aspects and not restrictive.

21: Scaffolding
51: Sensing module
53: Infrared ray emitting portion
55: infrared ray photographing unit
57:

Claims (13)

An infrared ray emitting portion emitting radiantly parallel infrared rays at a predetermined height of the footstool;
An infrared ray photographing unit for receiving reflected light reflected at one side of a foot contacting the foot plate; And
And a control unit for analyzing the image received by the infrared ray photographing unit and processing coordinate values on the foot plate to determine a foot position and a motion. The method according to claim 1,
Further comprising a sensing module integrally including the infrared ray emitting unit and the infrared ray photographing unit,
Wherein the sensing module is disposed at an outer periphery of the foot plate, the infrared sensing sensing device being disposed at an asymmetric position so as not to face each other. The method according to claim 1,
Wherein the infrared ray photographing unit is a two-dimensional infrared ray camera. The method according to claim 1,
Wherein,
An infrared sensing scaffold for detecting the image by applying a blob detection algorithm and applying a blob detection algorithm applying image binarization to a flood fill algorithm to minimize a load. 5. The method of claim 4,
Wherein the blob detection algorithm of the control unit comprises:
A monochromatic bitmap is applied to the circular scaffold and converted into an array form to mask the region of interest, a distortion (distortion) according to the camera angle and angle of view is corrected using a two-dimensional transformation table, And detecting an image by dividing the image by calculating the number of each case. Implemented on a computer,
Obtaining an infrared image;
Analyzing the image of the infrared image; And
Processing coordinate values of the analyzed image to determine a foot position and a motion;
/ RTI > The method according to claim 6,
The step of determining the position and movement of the foot,
A method for detecting an image by applying a blob detection algorithm to detect the image and applying a blob detection algorithm applying image binarization to a flood fill algorithm to minimize a load. 8. The method of claim 7,
Wherein the blob detection algorithm comprises:
A region of interest masking step of applying a monochromatic bitmap to a circular footing and converting it into an array form to mask an area of interest;
A coordinate conversion step of correcting distortion due to a camera angle and an angle of view using a two-dimensional conversion table; And
And an image dividing step of setting the number of coordinates to be divided and calculating the number of each case. 9. The method of claim 8,
Wherein the coordinate transformation step comprises:
Generating a one-dimensional transformation table in the Y-axis direction by holding a point of X = 0 at a reference point of the Y-coordinate system;
Determining a conversion ratio at which the output ratio of Y is converted as the displacement of the X coordinate increases with reference to the table; And
And generating a 2D conversion table by obtaining a slope in which an X coordinate system changes according to a length of the Y axis. 9. The method of claim 8,
Wherein the image segmentation step comprises:
Calculating a variance of the set of coordinates and determining how many touches the coordinate set displayed on the image is to be recognized; And
If the variance exceeds a predetermined value, drawing a first trend line using a least squares method to determine which coordinate group belongs to individual coordinates;
And determining the suitability of the coordinate system by dividing the two groups into two groups in two coordinate systems. 11. The method of claim 10,
The step of determining suitability of the coordinate system includes:
Obtaining a straight line orthogonal to the primary trend line passing the center point of the entire coordinate set and dividing the straight line into two groups on the basis of the straight line; And
Obtaining a standard deviation of each of the groups, and selecting a coordinate system having a small standard deviation. 11. The method of claim 10,
Wherein the primary trend line is drawn differently in the XY coordinate system and the YX coordinate system. 12. An image detection program using an infrared sensing scaffold, stored in a recording medium, for executing the method of any one of claims 6 to 12 in combination with a computer which is hardware.

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