KR101460904B1 - System of Implementation Automatic Screen Saver using Division of Difference Image, and Its Driving Method - Google Patents

Abstract

The present invention relates to an automatic exhibition screensaver system using a divided differential image and to a driving method thereof which can drive an exhibit as a screensaver by sensing the motion of a human body through a divided differential image technique. The automatic exhibition screensaver system using a divided differential image according to the present invention, which controls the play action of an exhibit (300) by sensing the motion of a human body in an exhibit viewing area (VR), enables a normal exhibit to be converted into an experiential exhibit by including: a human body sensing unit (100) which obtains an image screen of the exhibit viewing area (VR), divides the image screen into multiple node images, calculates a differential image by comparing a difference between a current image and a previous image about each of the divided node images, and determines the motion of a human body by analyzing the result of the calculated differential image; and an exhibit screensaver driving unit (200) which replays the exhibit (300) if a human body is sensed in the exhibit viewing are (VR) through the human body sensing unit (100) and operates a screensaver on the exhibit (300) if a human body is not sensed.

Description

Technical Field [0001] The present invention relates to an automatic screen saver system and a driving method thereof,

The present invention relates to an automatic screen saver system and a driving method for an exhibition, and more particularly, to an exhibition automatic screen saver system using a divided difference image for detecting a motion of a human body through a divided difference image technique and driving an exhibit as a screen saver, Driving method.

In recent years, the field of information technology (IT) has been increasingly used in various fields. This kind of grafting has become prominent in exhibitions that require new and novel things such as exhibition halls and museums. If the past exhibition space was the exhibition-oriented space, the modern exhibition space is gradually transformed into a viewer-oriented space. In other words, "interactive exhibition" of interactive exhibition in both directions will be spotlighted in the existing one-way static exhibit. A number of studies have reported that actual hands-on exhibitions have a positive effect on visitors. Therefore, it is necessary to improve the form of exhibit which can reproduce indefinitely, whether or not there is a viewer of the existing static exhibition which reduces immersion and concentration, for effective display.

On the other hand, 'experiential exhibition' can be divided into participation type, immersion type, reactive type, tangent type, and induction type. The participating type artificially changes the image of the work through the mouse, the keyboard and the attached sensor. The immersive type stimulates the five senses by using special equipment as an auxiliary device. The reaction type utilizes sensor technology to create a responsive space to gather visitors. The tangent is configured to stimulate sensibility by utilizing senses other than vision. Induction type allows images or exhibits to appear or move regularly at time intervals.

However, since these experiential exhibits are created considering experiential exhibition from the early stage of production, it is impossible to perform such 'experiential exhibition' in the case of general exhibit which is not produced as an experiential exhibition in the early stage of production. Therefore, there is a need for research to show the effect of the experiential exhibition on the general exhibition, not the experiential exhibition.

Korean Patent Publication No. 10-2011-0118323 (Oct. 31, 2011)

The present invention has been proposed in order to solve the problems of the prior art described above, and it is an object of the present invention to provide an apparatus and method for displaying an effect of an experiential exhibit such that an exhibit is reproduced or a screen saver is driven, To provide an exhibition automatic screen saver system and a driving method.

Particularly, the present invention divides an image into a plurality of node images and calculates a difference image of each node image to detect the presence or absence of a visitor, thereby minimizing the influence of noise, thereby grasping the motion of the viewer. The present invention provides an automatic screen saver system and a method of driving the same.

According to an aspect of the present invention, there is provided a system for controlling a reproduction operation of an exhibition by detecting movement of a human body in an exhibition viewing area, the system comprising: A human body detecting unit for calculating a difference image by comparing a difference between a current image and a previous image with respect to each of the divided node images, and analyzing a result of the calculated difference image to determine a motion of the human body; And a display screen saver driving unit for displaying an object when the human body is detected through the human body sensing unit and for activating a screen saver when the human body is not detected.

Here, the human body sensing unit may include an image acquiring module that acquires an image by photographing an image of an exhibition viewing area; A screen division module for dividing an image screen of the obtained exhibition viewing area into a plurality of node images; A difference image calculation module for calculating a difference image by comparing a difference between a current image and a previous image with respect to each of the divided node images; And a human body detecting module for detecting a human body when the number of changed node images is larger than a preset reference value as a result of the calculated difference image.

In addition, the human body sensing unit may include an image conversion module for converting the color image captured through the image acquisition module into a gray image. The image conversion module may smoothly process the converted gray image.

In addition, the human body sensing unit is provided with a binarization conversion module for binarizing the difference image calculated by the difference image calculation module to represent pixels having a change in the difference image and pixels having no change in white or black.

The human body detection module increases the count when the ratio of pixels having a change in the difference image of each node image binarized by the binarization conversion module is greater than or equal to a reference value, If it is large, it is judged that there is movement of the human body.

Here, the human body detection module may measure the duration when the number of counted node images is larger than a preset reference value, and determine that there is a movement of the human body if the count is maintained over the set reference time.

In addition, the reference value to be compared with the counted number of node images for judging the movement of the human body is preferably a different reference value when the human body enters the exhibition viewing area and when the human body exits the exhibition viewing area Do.

According to another aspect of the present invention, there is provided a method for detecting a human body movement in a human body sensing area, the method comprising: acquiring an image by photographing the human body sensing area through a camera; A screen dividing step of dividing the image screen of the obtained human body sensing area into a plurality of node images; A difference image calculation step of calculating a difference image by comparing a difference between a current image and a previous image with respect to each of the divided node images; And detecting a human body by determining that there is a movement of the human body when the number of changed node images is larger than a predetermined reference value as a result of the calculated difference image.

Here, if an image is obtained through the image acquiring step, the obtained color image is converted into a gray image and smoothly smoothed.

Also, the difference image calculated in the difference image calculation step is binarized so that a pixel having a change in a difference image and a pixel having no change are represented as white or black, and the human body detection step is a step of detecting a difference The count is increased when the ratio of pixels having a change in the image is equal to or greater than the reference value and the human body is determined to be in motion when the counted number of node images for the entire divided node image is larger than a predetermined reference value.

In addition, when the number of node images counted in the human body detection step is greater than a preset reference value, the duration is measured, and if it is maintained over the set reference time, it is determined that the human body is moving. It is preferable that the reference value compared with the counted number of node images is different from the reference value when the human body enters the exhibition viewing area and when the human body exits the exhibition viewing area.

When the human body is detected in the exhibition viewing area through the human body sensing step, the display object is reproduced. If the human body is not detected, the screen saver is operated on the display object.

INDUSTRIAL APPLICABILITY The display automatic screen saver system and driving method according to the present invention can divide an image screen into a plurality of node images and calculate a difference image of each node image to grasp the movement of the viewer so that the influence of noise can be minimized, Through the grasp of the movement of the visitor, the exhibitor can be reproduced when the visitor approaches, thereby providing a deeper immersion feeling to the viewer.

Particularly, the present invention has a greater effect in that it can convert general exhibits into experience-type exhibits, and adds a positive effect of the experience-type exhibits on the line that does not interfere with the intent of the general exhibit. In addition, a method of determining a motion using a divided difference image obtained by improving a car image, which is one field of image processing applied to the present invention, and maintaining or transitioning the state can be applied in various fields and applied to other fields.

FIG. 1 is a block diagram of an overall system of an exhibition automatic screen saver system according to the present invention.
FIG. 2 is a block diagram of a human body sensing unit and an exhibition screen saver driving unit according to the present invention.
3 shows an example of an image obtained by binarizing an RGB color image,
4 shows an example of an image obtained by binarizing a gray image,
FIG. 5 is a flowchart illustrating a process of detecting a human body through the human body sensing unit according to the present invention.
6 is a flowchart illustrating a process of controlling an operation of an exhibit by a display screen saver driving unit according to the present invention.
7 is a view showing an example of a screen of a screen saver according to the present invention,
FIG. 8 is a view showing an example of a screen when a person enters the exhibition viewing area during the screen saver reproduction according to the present invention,
FIG. 9 shows an example of an exhibition display screen according to the present invention.

First, the division difference image applied to the present invention will be described before a specific embodiment of the present invention.

In general, a car image is a work of inferring information that interprets motion information of an object or the shape of an object by analyzing moving images continuously input with a little time difference. Such a car image is a technique that is widely applied to various fields such as military and industrial fields because it is used for detecting a moving object and extracting motion information of the detected moving object. For this purpose, the difference image is obtained by calculating one image from two images while subtracting the value from the other image.

However, in order to determine motion in the general differential image method, there is only a method of counting the number of pixels changed based on the entire screen. In this case, if there is noise due to light or other environment, which is a persistent problem of image processing, there is a high possibility that a person is mistaken for approaching although the person is not approaching. In other words, in general image processing, when noise is generated, it is often distributed sporadically in a wide area. In order to detect a person by using a general difference image technique, since it is calculated by the number of pixels changed with respect to the number of pixels of the screen, It is often the case that a person is determined to move even in the case of noise.

Accordingly, the present invention proposes a method of dividing a screen into a plurality of nodes to obtain a difference image of each node, thereby minimizing the influence of noise, thereby detecting more accurate human motion. In addition, the position of the person approaching the node can be checked according to the position of the node, and it can be applied to the existing general exhibition, thereby providing the general exhibition to be converted into the experience type exhibition.

That is, according to the present invention, the screen is divided into n (horizontal) x m (vertical) unlike the conventional differential image method, and only the number of noise in the divided nodes is determined and collected, The influence can be minimized. This is because if a person is going to change most of the pixels of the segmented node and if it is noise then it will only change a fraction of the pixels of the segmented node. Therefore, if the number of changeable nodes is more than the reference value (k) determined by arbitrarily determining the difference image at each divided node, it is determined that the person is moving, and if not, it is determined that there is no movement of the person.

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

FIG. 1 is a block diagram showing an entire system of an exhibition automatic screen saver system according to an embodiment of the present invention.

As shown in FIG. 1, the display automatic screen saver system according to the present invention includes a human body detecting unit 100 for detecting a movement of a human body using a differential image technique, An exhibition screen saver driving unit 200 for controlling the operation of the exhibit 300 according to presence or absence of the user and an exhibit 300 reproduced under the control of the exhibit screen saver driving unit 200 or operating a screen saver.

The human body detecting unit 100 captures an image of an exhibition viewing area (VR), acquires an image screen, divides the acquired image screen into a plurality of node images, and calculates a difference between a current image and a previous image If the result of the calculated difference image is larger than the reference value, it is determined that there is a movement of the human body and the presence or absence of the human body is detected.

When the human body is sensed through the human body sensing unit 100, the display screen saver driving unit 200 reproduces the display object 300 so that the viewer can view the object 300. If the human body is not sensed, the screen saver activates the screen saver 300 And controls the display 300 to respond to the presence or absence of the viewer.

The display 300 is an apparatus for displaying an object in an exhibition hall or a museum so that the viewer can view the display in the exhibition viewing area VR. The display 300 is a display device for reproducing images, animations, .

The exhibition viewing area VR is a space in which the visitor is located to view the exhibition. The exhibition viewing area VR is a human sensing area of the human sensing unit 100.

2 is a block diagram of a human body sensing unit and an exhibition screen saver driving unit according to an embodiment of the present invention.

2, the human body detecting unit 100 according to the present invention includes an image acquiring module 110 for acquiring and acquiring images of an exhibition viewing area VR, A screen division module 130 for dividing an image screen converted into a gray image into a plurality of nodes through the image conversion module 120, A difference image calculation module 140 for calculating a difference image by comparing the difference between the current image and the previous image with respect to the node image, and a binarization conversion module 140 for binarizing and representing the difference image calculated through the difference image calculation module 140, Module 150 and a human body detection module 160 for detecting the presence or absence of a human body through a differential image represented through the binarization conversion module 150. [

The image acquisition module 110 includes a web camera that captures an image of an exhibition viewing area VR and acquires an image. The image acquisition module 110 converts an image of an exhibition viewing area VR photographed through a web camera into an image conversion module 120 .

The image conversion module 120 is a program module for converting an RGB color image photographed through the image acquisition module 110 into a gray monochrome image. In the embodiment of the present invention, the RGB color image is converted into the gray monochrome image through the image conversion module 120. When the RGB image is directly binarized, the R, G, and B channels are binarized, This is because the image is generated. On the other hand, if the RGB 3-channel color image is converted into the gray image of 1 channel and then the binarization is performed, the image is converted into the image suitable for the differential image. FIG. 3 shows an example of an image obtained by directly binarizing the RGB color image, and FIG. 4 shows an example of an image obtained by binarizing a gray image. In the embodiment of the present invention, the determinant used for converting the RGB color image into the gray image is expressed by Equation 1 below.

In Equation (1), the determinant between YIQ and RGB, which is another color expression scheme, is also shown. Y of the YIQ represents the degree of brightness. Since the black-and-white image is generated based on the brightness rather than the saturation, the brightness value Y is also used for converting into a gray image. Therefore, a single channel of the gray image is obtained by adding the pixel values of each channel of RGB to Y = 0.299 × R + 0.587 × G + 0.114 × B.

In addition, the image conversion module 120 performs smooth smoothing image processing to minimize the noise of the converted gray monochrome image. Generally, image processing is very sensitive to light and shadows, and noise is likely to occur. In the car image applied to the present invention, noise is a fatal factor. Therefore, in the embodiment of the present invention, noise is removed through smoothing, and smoothing removes high-frequency components in the image to leave low-frequency components. What high-frequency components mean in the image is a sudden change. That is, the high frequency component means the edge area. As the smoothing is performed, the noise can be removed. In the embodiment of the present invention, a Gaussian filter is used as a filter for smoothing.

The screen division module 130 divides an image screen of the exhibition viewing area VR into a gray image through an image conversion module 120 into an arbitrary number of n (horizontal) x m (vertical) The number of such screen divisions may vary depending on the size, resolution, etc. of the image screen.

The difference image calculation module 140 is a program module for obtaining a difference between a current A image and a previous B image in each node image divided by the screen division module 130. The process of calculating the difference image value is performed by all nodes Image.

The binarization conversion module 150 is a program module that binarizes the difference image result values obtained by the difference image calculation module 140 to further clarify the difference image result values. The binarization conversion module 150 binarizes the difference image values to represent a pixel (a pixel having a change) whose value is higher than a reference threshold value as white, a pixel lower than a reference threshold value (a pixel without change) as a black color, So that a pixel having a pixel and a pixel having no pixel can be represented as white and black. Since this expression is simple, it is advantageous to grasp the image information. At this time, the threshold value may be different according to each environment or degree of desired extraction, and it is preferable to use an appropriate number (a value between 0 and 255) through several tests .

The human body detection module 160 is a program module for analyzing a binarized car image by the binarization conversion module 150 to determine whether a person exists in the exhibition viewing area VR. The human body detection module 160 calculates the ratio of the number of white pixels and the number of black pixels in the node image binarized by the binarization conversion module 150 and counts the ratio of the number of white pixels to the number of black pixels, When the number exceeds the reference value, it is judged that the person has moved to the exhibition viewing area (VR). In addition, the human body detection module 160 calculates the ratio of the number of white pixels and the number of black pixels in the node image binarized by the binarization conversion module 150, If the counted number of nodes exceeds the reference value, it is determined that the person has moved out of the exhibition viewing area VR. In this manner, the human body detection module 160 analyzes the binarized car image to determine whether a person enters or exits the display viewing area VR, and determines whether a person exists in the exhibition viewing area VR.

The display screen saver driving unit 200 includes an exhibition display module 220 for controlling the reproduction operation of the display 300, a screen saver driving module 230 for controlling the screen saver operation of the display 300, And a central control module 210 for controlling the operation of the display 300 through the display reproducing module 220 or the screen saver driving module 230 according to a human body detection signal transmitted from the human body detecting part 100 .

The central control module 210 controls the operation of the display 300 by receiving the presence of a viewer (person) in the exhibition viewing area VR from the human body detection module 160 of the human body sensing part 100. That is, if it is determined by the human body detection module 160 that the viewer has entered the exhibition viewing area VR, the display 300 is reproduced through the exhibition display module 220 so that the visitor can view the exhibition 300 If it is determined that the visitor has moved out of the exhibition viewing area VR, a screen saver is operated on the display 300 through the screen saver driving module 230 to control the display 300 to be operated in a hands-on manner.

Hereinafter, a process of controlling the operation of an exhibit through the exhibition automatic screen saver system having the above-described structure will be described.

5 is a flowchart illustrating a process of detecting a human body through a human body sensing unit according to an embodiment of the present invention.

Steps S110 and S120: First, in order to detect whether a person is entering or leaving the exhibition viewing area (VR) to view the exhibit 300, the image acquisition module 110 of the human body detection unit 100 The image conversion module 120 converts the obtained RGB color image into a gray monochrome image and smooths the smoothed image in step S120.

Steps S130 and S140: When an image is acquired and converted into a gray image, a counter serving as a motion determination criterion in the exhibition viewing area VR is initialized to zero (S130) Is divided into n × m node images (S140).

Steps S150, S160, and S170: In the embodiment of the present invention, the difference image calculation module 140 sets any one of the plurality of node images to be divided as a region of interest, And the previous B image (S150). The difference image of the calculated node image is represented by black in the binarization process of the binarization conversion module 150 and white in the changed portion in step S160. In step S170, the human body detection module 160 counts the number of pixels represented by white in the difference image of the node image expressed in color and expressed as a color, and calculates the ratio of the black pixel to the black pixel as a percentage.

Steps S180, S181, and S190: If the white percentage of the difference images expressed by the binarization color exceeds the reference percentage, which is a preset reference value (S180), that is, if the number of pixels having the variation exceeds the reference percentage, It is determined that there is a motion of the person and the counter is incremented by one (S181). The increment of the count according to the difference image calculation for each node divided into the plurality of screens and the calculation of the percentage of the binarized color is performed for all the divided nodes by repeating until the last node (S190).

S200, S210 and S220: When the difference image calculation for all of the divided nodes, the calculation of the percentage according to the binarization expression, and the counter increment process are all completed, the finally counted number is compared with the reference percentage, which is a preset reference value (S200 If the number of the counter is larger than the reference percentage, that is, if the number of the node screens judged to be human motion is larger than the reference percentage, it is determined that there is a human motion (S210). On the other hand, when the number of the counter is smaller than the reference percentage, that is, when the number of the node screens judged to be human motion is smaller than the reference percentage, it is determined that there is no human motion in the image (S210).

Thus, in the present invention, binarized car images divided into n x m pieces are used as a criterion for judging whether a person enters the exhibition viewing area VR. That is, the number of white pixels in the binarized difference image of each divided node is counted, and when the ratio is equal to or larger than the designated reference percentage C% (hereinafter referred to as 'C%'), the count is increased by one. After all the nodes are judged, if the number of counts is equal to or larger than the specified reference percentage D% (hereinafter referred to as 'D%'), it is determined that a person is present. At this time, the C% and D% should be changed according to the environment, because the size of the person in the image will be different depending on the environment.

On the other hand, when a person comes in and goes out, the number of pixels is counted, and when the ratio is less than the reference percentage, the count is increased by one. Likewise, after judging all the nodes, if the ratio of the number of counts is equal to or larger than the designated reference percentage E% (hereinafter referred to as "E%"), it can be determined that the person has left. At this time, E% should also be changed according to the environment. In addition, it is preferable that the value of the percentage D%, which is the standard when the person enters the room, and the percentage E%, which is the standard when the person goes out. This is because it is preferable that the reference percentage E% is smaller than the reference percentage D%, since the change is small when the person enters the car image but is large when the car image is staying.

When the human body sensing unit 100 recognizes whether a person enters or exits the display viewing area VR through the above process, the human body sensing information is transmitted to the display screen saver driving unit 200.

6 is a flowchart illustrating a process of controlling an operation of an exhibit by a display screen saver driving unit according to an embodiment of the present invention.

When there is no person in the exhibition viewing area VR, the display 300 is driven in the screen saver operation mode (S310). At this time, the changed time (Time) is initialized to 0 (320) ), And the screen saver is rendered. FIG. 7 shows an example of the screen saver playback screen. The screen saver screen is displayed with the phrase 'Screen Saver' at the bottom of the screen saver screen.

If the count of the difference image calculated through the human body sensing unit 100 described above with reference to FIG. 5 is equal to or greater than the reference value D% (S340) during the rendering of the screen saver, the changed time (S340, S350, S360, (S350). If the changed time is equal to or longer than the reference time Fth (S360), it is determined that the viewer has entered the exhibition viewing area VR, and the display mode is changed to the exhibition mode do. This is to prevent the screen saver mode and the exhibit mode from being transferred indiscriminately with a single value change. When the continuous time is checked, the mode can be changed only when the time is longer than the predetermined reference time (F seconds) It is. FIG. 8 shows an example of a screen when a person enters the exhibition viewing area VR during screen saver reproduction. The color of the node detected by a change of percentage or more specified by the division difference image is changed to black and visually expressed.

S380, S390, S400, S410, and S420: When the human movement is detected and the display mode is changed, the changed time is initialized to zero (S380), and the display 300 is rendered (S390). When the count calculated through the human body sensing unit 100 becomes equal to or less than the reference value E% (S400) during the repeated rendering of the display 300, the Elapsed Time which is one frame playback time is added to the changed time (Time) (S410). If the changed time is longer than the reference time Gth (S420), it is determined that the person is out of the exhibition viewing area VR and the screen saver mode is returned. FIG. 9 shows an example of an exhibition display screen. When an observer goes out during exhibition display, the display screen is switched to the screen saver screen shown in FIG.

In this process, D% applied to step S340 and E% applied to step S400 should be different. The D% suddenly judges that a person has come in as the screen changes suddenly, and E% judges that the person has left the screen when a slight change in the screen while the person is staying is insignificant. Therefore, D% preferably has a relatively larger value than E%.

In addition, since the F seconds applied to the step S360 and the G seconds applied to the step S420 are different from each other, the fastest time is preferable within a time when indiscriminate state transition is not possible, It is preferable to have a relatively long time rather than F seconds. In the embodiment of the present invention, the G second and F seconds are 2 seconds and 5 seconds, respectively.

As described above, the exhibition automatic screen saver system according to the present invention is a system for taking an exhibition viewing area through a camera, dividing it into a plurality of node images, calculating a difference image between a current image and a previous image for each divided node image Then, the result of the calculated difference image is analyzed to judge whether the human body is moving or not, so that the display can be reproduced or driven by a screen saver.

It is to be understood that the present invention is not limited to the above-described embodiment, and that various modifications and changes may be made by those skilled in the art without departing from the spirit and scope of the appended claims. Of course, can be achieved.

100: human body detection unit 110: image acquisition module
120: image conversion module 130:
140: Car image calculation module 150: Binarization conversion module
160: Human body detection module 200: Display screen saver driving part
210: central control module 220: exhibit reproduction module
230: Screensaver drive module
300: Exhibit VR: Exhibition viewing area

Claims (14)

A human body detecting unit 100 for analyzing an image screen of the exhibition viewing area VR to determine the movement of the human body; a display unit 300 for reproducing the display object 300 according to whether the human body of the human body sensing unit 100 is sensed, And a display screen saver driving unit 200 for operating a screen saver on the screen saver driving unit 200,
The human body detection unit 100 includes an image acquisition module 110 for capturing an image of the exhibition viewing area VR to acquire an image, and a display unit 110 for displaying an image of the obtained exhibition viewing area VR as a plurality of node images A difference image calculation module 140 for calculating a difference image by comparing a difference between a current image and a previous image with respect to each of the divided node images; A binarization module 150 for binarizing the difference image calculated by the binarization module 150 and a binarization module 150 for binarizing the binarized difference image, And if the number of counted node images is larger than a preset reference value, the human body detecting module 160 determines that there is a human body motion,
The reference value, which is compared with the counted number of node images for judging the movement of the human body in the human body detection module 160, may be determined when the human body enters the exhibition viewing area VR and when the human body is in the exhibition viewing area VR Wherein the reference value is different from the reference value.
delete The method according to claim 1,
The human body sensing unit 100 includes
And an image conversion module (120) for converting a color image photographed through the image acquisition module (110) into a gray image.
The method of claim 3,
Wherein the image conversion module (120) smoothly smoothing the converted gray image.
delete delete The method according to claim 1,
The human body detection module (160)
Measuring a duration time when the number of counted node images is larger than a preset reference value, and determining that there is a movement of a human body when the counted number of nodes is maintained over a set reference time.
delete A method for detecting human motion in a human body sensing area,
(a) an image acquiring step of acquiring an image by photographing the human body sensing area through a camera;
(b) dividing the obtained image of the human body detection region into a plurality of node images;
(c) calculating a difference image by comparing the difference between the current image and the previous image with respect to each of the divided node images, and binarizing and representing the calculated difference image results;
(d) incrementing the count when the ratio of the changed pixels in the difference image of each binarized node image is equal to or greater than the reference value through the difference image calculation step (c), and counting the number of node images And a human body detecting step of determining that there is a human body if the detected human body is larger than the set reference value,
The reference value, which is compared with the counted number of node images for judging the movement of the human body in the human body sensing step (d), is different from the case where the human body enters the human body sensing area and the case where the human body exits from the human body sensing area And a reference value is applied to the human body.
10. The method of claim 9,
When an image is acquired through the image acquiring step (a)
Wherein the obtained color image is converted into a gray image and smoothly smoothed.
delete 10. The method of claim 9,
In the human body detection step (d)
Measuring a duration time when the number of counted node images is larger than a preset reference value, and determining that there is a motion of the human body if the counted number of node images is maintained longer than a set reference time.
delete 13. A method of controlling a reproducing operation of an object (300) using a human body detecting method according to any one of claims 9, 10 and 12,
The display 300 is reproduced when a human body is detected in the human body sensing area through the human body sensing step d and the screen saver is operated on the display body 300 when the human body is not sensed. Way.

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