KR102879095B1 - LED Display Board with Pixel Sharing Technology - Google Patents

Abstract

The present invention relates to an LED guide signboard to which pixel sharing technology is applied, and relates to an LED guide signboard that identifies at least one object in a frame of an image output to the signboard, determines the type of each object, detects a change in the state of each object, and controls whether to share a plurality of subpixels of pixels included in each object, thereby reducing power consumption and improving image quality.

Description

LED display board with pixel sharing technology

This relates to an LED signboard with technology applied to control subpixel sharing.

LED information signs are widely used for information and advertising purposes in various public places, such as airports, train stations, bus stops, and large shopping malls. Conventional LED information signs consume significant power, and continuous display of high-resolution images can lead to excessive energy consumption and heat generation. These issues not only increase maintenance costs, but also highlight the need for improvement from an environmental perspective.

Furthermore, precise subpixel control is required to improve the image quality of electronic billboards, and technological advancements are needed to display specific scenes or objects more clearly. However, because the pixel spacing of electronic billboards is fixed, applying the same pixel and subpixel control method to all objects has the limitation that all objects must be processed at the same level, resulting in unnecessary waste of resources.

Republic of Korea Patent Publication No. 10-2279177 (July 20, 2021)

The present invention applies object recognition technology to an electronic display board to identify objects in an image displayed on the electronic display board and optimize a subpixel control method according to the importance and status change of each object.

In addition, the present invention implements an energy-efficient control technology capable of maintaining or improving the image quality of an electronic display board, and optimizes subpixel control so that key objects can be expressed more clearly and accurately, thereby effectively managing the resolution and brightness of the image while minimizing power consumption on the entire electronic display board screen.

Furthermore, to address the issue of heat generation in the display board, the subpixel control method is designed to be more sophisticated. This reduces unnecessary power consumption, minimizes the resulting heat generation, and ultimately extends the display board's lifespan. The technical challenges described above are not limited to these, and additional technical challenges may be derived from the following description.

According to one aspect of the present invention, an LED guide display board controls subpixel sharing, and includes a display unit in which a plurality of pixels including a plurality of subpixels are arranged and an image including a plurality of frames is output using the subpixels, and a control unit controls whether or not the subpixels are shared. The control unit includes an object recognition unit that identifies at least one object included in each frame of the image output to the display unit and determines a type of each identified object; an object state change detection unit that detects a state change of at least one object in a detection target frame based on the type of each object in the detection target frame among the plurality of frames; and a subpixel sharing setting unit that determines whether or not the plurality of subpixels included in each object are shared based on the type of each object, wherein the sharing of the subpixels is performed by taking into account the subpixels of neighboring pixels when determining each pixel value.

The present invention applies object recognition technology to an electronic display board to identify objects in an image displayed on the electronic display board and provides an optimized subpixel control method according to the importance and status change of each object.

In addition, it provides energy-efficient control technology that can maintain or improve the image quality of the display screen, and optimizes subpixel control so that key objects can be expressed more clearly and accurately, thereby effectively managing the resolution and brightness of the image while minimizing power consumption on the entire display screen.

Furthermore, by designing a more sophisticated subpixel control method, unnecessary power consumption can be reduced, resulting heat generation minimized, and the lifespan of the display board can be extended. The effects described above are not limited to these, and additional effects may be derived from the following description.

Figure 1 is a configuration diagram of an LED guide display board (10) according to an embodiment of the present invention.
Figure 2 is a flowchart of a control method of an LED guide signboard (10) according to an embodiment of the present invention.
FIG. 3 is an example of a frame included in an image output to a display unit (11) according to an embodiment of the present invention.
FIG. 4 is a flowchart of a control method of an object state change detection unit (132) and a subpixel sharing setting unit (133) according to an embodiment of the present invention.
FIG. 5 is an exemplary diagram for explaining the detection of a change in position of an object state change detection unit (132) according to one embodiment of the present invention.

The present invention is not limited to the embodiments described below, but can be implemented in various different forms. These embodiments are merely illustrative of the contents of the present invention and are provided to provide those skilled in the art with a detailed understanding of the scope of the invention. The present invention is defined solely by the scope of the claims. Like reference numerals refer to like elements throughout the specification.

The embodiments described herein will be described with reference to ideal exemplary drawings of the present invention. In the drawings, the illustrated regions are expressed for the effective explanation of the technical contents. Therefore, the regions illustrated in the drawings have a schematic nature, and the shapes of the regions illustrated in the drawings are intended to illustrate specific forms of the device regions and are not intended to limit the scope of the invention. Although terms such as first, second, and third are used to describe various components in various embodiments of the present specification, these components should not be limited by such terms. These terms are used only to distinguish one component from another. The embodiments described and illustrated herein also include complementary embodiments thereof.

The terminology used herein is for the purpose of describing embodiments only and is not intended to be limiting of the present invention. In this specification, the singular also includes the plural unless specifically stated otherwise. As used herein, the terms "comprises" and/or "comprising" do not exclude the presence or addition of one or more other components, steps, operations, and/or elements to the mentioned components, steps, operations, and/or elements.

Unless otherwise defined, all terms (including technical and scientific terms) used herein may be used in their common sense to those of ordinary skill in the art to which the present invention pertains. Furthermore, terms defined in commonly used dictionaries are not to be interpreted ideally or excessively unless explicitly and specifically defined otherwise.

The embodiments of the present invention described below relate to an LED guide signboard. Hereinafter, with reference to the drawings, the concept of the present invention and embodiments thereof will be described in detail.

Fig. 1 is a configuration diagram of an LED guide display board (10) according to an embodiment of the present invention. Referring to Fig. 1, the LED guide display board (10) according to the present embodiment is composed of a display unit (11), a storage unit (12), and a control unit (13).

The display unit (11) is composed of a plurality of pixels, and each pixel includes a plurality of subpixels. Each subpixel has one color among R (Red), G (Green), and B (Blue), and the display unit (11) emits light of a desired color by adjusting the color intensity of the plurality of subpixels included in each pixel. The pixel according to the present embodiment may be composed of an RGBG array in which a G subpixel is added to the existing RGB array. The added G subpixel complements the accuracy of the color and brightness of the pixel, and can share data with the R subpixels or B subpixels located up, down, left, and right.

In this way, by sharing a single G subpixel with adjacent pixels, the frequency at which each subpixel operates can be reduced, thereby reducing power consumption. In addition, subpixel sharing can reduce unnecessary energy consumption of the display unit (11), thereby reducing heat generation. In addition, the display unit (11) according to the present embodiment can implement a high-resolution display that is 2 to 4 times higher than the actual pixel by minimizing the gap between pixels to 0.9 mm or less.

In one embodiment of the present invention, the display unit (11) outputs images in frame units, and each frame is output using a plurality of pixels constituting the display unit (11). When each frame is output, the subpixels of each pixel emit light at different intensities depending on the input image, thereby implementing a specific color. The images output in frame units are replaced by a fixed number of frames per second, thereby expressing smooth movement.

In one embodiment of the present invention, the storage unit (12) stores image data to be output to the display unit (11).

When an image stored in a storage unit (12) is output to a display unit (11), the control unit (13) performs an operation of recognizing an object included in each frame, detecting a change in the object, and determining whether to share subpixels of each object when outputting the corresponding frame. Each frame of an image to be output by the display unit (11) is output to the display unit (11) after being processed by the control unit (13). Referring to FIG. 1, the control unit (13) according to the present embodiment includes an object recognition unit (131), an object state change detection unit (132), a subpixel sharing setting unit (133), and a frame comparison interval setting unit (134).

The object recognition unit (131) according to one embodiment of the present invention can analyze each frame of an image output to the display unit (11) to identify at least one object included in each frame. An object may refer to all visual elements of an image output to the display unit (11), such as a person, an animal, an object, text, or a background. The object recognition unit (131) can find an area having a specific shape or characteristic in the image and recognize this area as an object. For example, a distinguishable independent shape, such as a human face, an animal shape, or a text area, can be recognized as an object. When at least one object is identified, the object recognition unit (131) can analyze the importance of each object. In addition, the object recognition unit (131) can determine the type of the object based on the importance of each analyzed object, and the type of each object may be any one of a core element, a background, or text.

In this embodiment, an object of the core element type conveys important information or meaning of the image to the viewer, an object of the text type is a type of object in the form of characters and is used as an information description, label, or message in the image, and an object of the background type can provide a visual context of the image.

In this embodiment, the object recognition unit (131) can compare the proportion of each object's size in each frame of the output image and determine the object with the largest proportion as the core element type. Objects that occupy a large area on the screen are more likely to be visually noticeable and play a key role on the screen. For example, in movies or advertisements, characters or large objects at the center of the screen play a crucial role in explaining the main flow of the story.

In this embodiment, the size of each object can be expressed as a ratio to the entire frame size. For example, if the frame size is 1920 x 1080 (2073600 pixels), the size of object A can be calculated to be 1242 x 486 (603612 pixels), which occupies about 30% of the entire frame, and the size of object B can be calculated to be 312 x 180 (56160 pixels), which occupies about 5% of the entire frame. In this case, object A occupies an area that is about 6 times larger than object B, so object A can be considered relatively more important information and can be classified as a key element.

In addition, the object recognition unit (131) can determine that an object is a key element if its size proportion with respect to the entire frame size exceeds a certain ratio. For example, if it exceeds 10% or more, it is determined as a key element, and the proportion of object A may be 15%, the proportion of object B may be 20%, and the proportion of object C may be 5%. In this case, objects A and B with proportions of 10% or more may be classified as key elements.

In this embodiment, the object recognition unit (131) can classify an area containing a character structure composed of a combination of straight lines, curves, or closed curves in each frame of an output image as a text type. For example, objects containing character shapes, such as movie subtitles, news headlines, and a scoreboard of a sports game, can be classified as a text type.

In this embodiment, the object recognition unit (131) can classify objects placed behind core elements or text-type objects as background. Background-type objects are used to convey the atmosphere or environmental settings of a scene. For example, elements that constitute the environment of a scene, such as a cloudy sky, trees in a forest landscape, or a city street with cars passing by, can be classified as background-type.

In this embodiment, the object recognition unit (131) can detect objects from each frame and classify the type of each object using an artificial intelligence model learned by utilizing multiple images or videos containing key elements, text, and backgrounds, and labels specifying the type of each object. Artificial intelligence algorithms such as Faster R-CNN (Region-based Convolutional Neural Networks), DeepLab, and SORT can be used as such artificial intelligence models.

In one embodiment of the present invention, the object state change detection unit (132) can detect a state change occurring in each object based on the type of each object. In this embodiment, if the type of each object is a core element or text, the object state change detection unit (132) performs state change detection for each object. On the other hand, if the type of each object is background, the object state change detection unit (132) may not perform state change detection for each object.

State changes occurring in an object may include changes in the object's position, size, and pixel value across different frames. The state changes for each object are determined by comparing the detection target frame with a frame that will be output after the detection target frame. The frame being compared with the detection target frame may be a frame that occurs after the frame comparison interval from the detection target frame.

In the present embodiment, state changes of objects of the core element type and objects of the text type may be relatively more important than objects of the background type because they change the meaning and information of the image in real time. Accordingly, the object state change detection unit (132) may perform state change detection on objects classified as core elements and text types that play a major role in conveying the meaning of the image, and may not perform state change detection on objects classified as the background type.

In one embodiment of the present invention, the subpixel sharing setting unit (133) can determine whether to share a plurality of subpixels included in each object based on the type of the object.

Subpixel sharing refers to using data from surrounding subpixels when calculating the pixel value required by a specific pixel. For example, if a pixel needs to express the exact color green, it can use not only its own green subpixel data, but also the green subpixel data from adjacent pixels. By sharing subpixel data with surrounding pixels, a specific pixel can more accurately express colors that its own subpixels cannot express on their own. Furthermore, by enabling subpixel sharing, the work of subpixels can be distributed, achieving the same effect with less power. For example, if each pixel individually calculates and displays a color when expressing a large green lawn, similar color information would be unnecessarily repeated, significantly increasing current consumption. On the other hand, enabling subpixel sharing can share color information between adjacent pixels, reducing redundant calculations and power consumption, thereby improving energy efficiency.

In addition, through subpixel sharing technology, it is possible to achieve high color reproduction, low damage picture quality, and a contrast ratio of 10000:1.

In this embodiment, the object of the background type determined by the object recognition unit (131) is an additional element of the image, and the subpixel sharing setting unit (133) can reduce power consumption by activating subpixel sharing for a plurality of subpixels included in the object of the background type. In this embodiment, the plurality of subpixels included in the object refer to subpixels used to express the object, i.e., subpixels expressing the outline and the inner area of the outline of the object.

In addition, the subpixel sharing setting unit (133) sets whether to share subpixels included in each object in each frame based on the key elements detected by the object status change detection unit (132) and the status change detection result of the text type object.

In one embodiment of the present invention, the frame comparison interval setting unit (134) can set the frame comparison interval applied when detecting a change in object status according to the number of objects identified by the object recognition unit (131).

Each component of the control unit (13) of the present invention will be described in more detail with reference to FIG. 2, which shows a flow chart of a control method of an LED guide display board according to an embodiment of the present invention, and FIG. 3, which shows each frame of an image output to the display unit (11).

Referring to FIG. 2, at step 610, the object recognition unit (131) of the control unit (13) can identify at least one object in each frame of the image output to the display unit (11).

Referring to FIG. 3, FIG. 3a shows a detection target frame for which subpixel sharing is determined by the control unit (13), and FIG. 3b shows a comparison frame at a point in time when a predetermined frame comparison interval is added to the detection target frame. In the detection target frame of FIG. 3a, an elephant, a tree, and a sign with the phrase “Africa” written on them can be identified as respective objects by the object recognition unit (131). In addition, in the comparison frame of FIG. 3b, an elephant, a tree, and a sign with the phrase “Africa” written on them can be identified as respective objects by the object recognition unit (131).

At step 620, the object recognition unit (131) of the control unit (13) can determine the type of each object as a core element, text, or background based on the importance of the object identified in each frame.

As illustrated in Figure 3a, the elephant is positioned in the center and serves as the primary visual element, while the tree, positioned behind the elephant as a background, forms the context of the scene. The signpost conveys the country information that the frame's background is Africa and reinforces the meaning associated with the elephant. Meanwhile, the tree and the signpost have individual meanings as components of the scene. In this way, the object recognition unit (131) can determine the type of each object based on the importance of each object. The object recognition unit (131) can determine the type of each object as follows: the elephant, which is the main object that attracts visual attention, is a core element type; the tree is a background type; and the signpost is a text type.

At step 630, the object recognition unit (131) of the control unit (13) can determine whether the type of object determined at step 620 is a background type. Since objects of the background type play a supporting role in the scene and do not change the main meaning of the scene, even if they share subpixels, they do not have a significant impact on the quality of the image.

By sharing subpixels of pixels corresponding to these background-type objects, computational costs can be reduced. Furthermore, this has the effect of allowing the processing performance of the control unit (13) to be focused on core element-type and text-type objects. For example, in a scene featuring an elephant, the movement of trees or the sky in the background does not change the main meaning of the scene, so sharing background subpixels is appropriate.

Accordingly, if the type of the object is background, the subpixel sharing setting unit (133) of the control unit (13) can perform step 640 to activate subpixel sharing of pixels included in the object. When subpixel sharing is activated, the data of each subpixel included in the object having the background type can be used as a reference when expressing the pixel value of each adjacent pixel.

Meanwhile, if the type of the object is a core element or text in step 630, the frame comparison interval setting unit (134) can perform step 650.

Key elements or text-type objects play a key role in a scene and play a crucial role in helping viewers understand the story within the video. To understand how these key elements or text-type objects change throughout the video, we can detect changes in the state of each object and determine whether to share subpixels based on this change.

At step 650, the frame comparison interval setting unit (134) of the control unit (13) can set the frame comparison interval based on the number of objects identified in each frame. That is, the frame comparison interval applied to each frame may be different from each other.

In this embodiment, when multiple objects exist simultaneously in each frame, detecting state changes for all objects can increase computational costs, so it is desirable to lower the detection frequency. Conversely, when fewer objects exist in each frame, the significance of each object's state change on the screen is relatively high, so it is desirable to increase the detection frequency for each object's state change.

Accordingly, the frame comparison interval setting unit (134) can reduce the computational processing burden and increase efficiency by setting the frame comparison interval to be applied to each frame to be the same as the number of objects identified in each frame. For example, if three objects are identified in the first frame, which is the detection target frame, the comparison frame to compare the state and change of the objects in the first frame can be the fourth frame, which is three frames added behind the first frame. At this time, if there is no object identified in each frame or a frame with the same number of objects does not exist behind each frame, it can be determined within the range of the minimum and maximum values set in advance.

Thereafter, the object state change detection unit (132) can detect the object state change by performing step 710.

The description after step 710 will be examined in detail with reference to FIG. 4. FIG. 4 is a flowchart of a control method of an object state change detection unit (132) and a subpixel sharing setting unit (133) according to one embodiment of the present invention, and FIG. 5 is an exemplary diagram for explaining object position change detection of an object state change detection unit (132) according to one embodiment of the present invention.

In step 710, the object state change detection unit (132) can detect three state changes of an object whose type is a core element or text by going through steps 720, 730, and 740, respectively.

In step 720, the object state change detection unit (132) of the control unit (13) can detect a change in the position of the object. Referring to FIG. 5, FIG. 5a shows a detection target frame, and FIG. 5b shows a comparison frame at a point in time when a predetermined frame comparison interval is added to the detection target frame, which is a target for determining whether to share subpixels. A bounding box of an elephant object can be set in each of the detection target frame and the comparison frame. The bounding box of the elephant object can be set as a minimum-sized rectangle (S1, S2) that includes the elephant object. The change in the position of the object between the two frames can be calculated as the distance between the center coordinate P1 of the bounding box of the elephant object in the detection target frame and the center coordinate P2 of the boundary of the elephant object in the comparison frame.

For example, the center coordinates of the elephant object in the detection target frame , and the coordinates of the elephant object in the comparison frame are It can be assumed that the change in the position of the elephant object at this time is the distance between the two central coordinates, can be calculated as

At step 730, the object state change detection unit (132) of the control unit (13) can detect a change in the size of the object. The change in the size of the object between two frames can be calculated as the object area of the detection target frame and the object area change rate of the comparison frame.

The rate of change in size can be calculated by using the value obtained by subtracting the area of the object in the detection target frame from the area of the object in the comparison frame and dividing it by the area of the object in the detection target frame.

At step 740, the object state change detection unit (132) of the control unit (13) can detect changes in object pixel values. To compare accurate pixel values, a normalization operation may be required to adjust the size of the objects in both frames to the same size. To compare the same location in both frames, pixel values corresponding to the same coordinates can be extracted from the normalized object.

That is, the object state change detection unit (132) detects the first pixel value of the first pixel included in the object of the detection target frame normalized to the same size. and the second pixel value of the second pixel of the comparison frame having the same coordinates as the first pixel. The difference can be calculated. Afterwards, the pixel values of all pixels contained in the objects of the two frames can be added up to detect pixel changes between the two frames.

Therefore, the object pixel value change D can be calculated using the following formula.

In the above formula, is the pixel values contained in the object in the detection target frame, refers to the pixel values contained in the object in the comparison frame.

As described above, in one embodiment of the present invention, each pixel may have two subpixels of the color G (Green). That is, since there are two subpixels representing the color G in one pixel, the color values of each may be different. In this case, the object state change detection unit (132) may calculate and use the average of the values of the two G subpixels to determine the final color value of the pixel. Through this, the difference between G subpixels having different color values can be compensated for.

In step 750, the object state change detection unit (132) of the control unit (13) can determine the motion state of each object based on whether each value of the object position change detected in step 720, the object size change detected in step 730, and the object pixel value change detected in step 740 exceeds each threshold value set in advance. If the threshold value is exceeded in all steps, the motion state can be determined to be dynamic as a scene in which there is movement or change in the video. For example, a chase scene in an action movie, a highlight of a sports game, or a screen with rapid transitions can correspond to a dynamic state. On the other hand, if no threshold value is exceeded in any step, the motion state can be determined to be static as a quiet scene in the video with little movement or change. For example, a still image of a natural landscape or an interview scene filmed with a fixed camera angle can correspond to a static state.

Thus, if the threshold is exceeded at any step, step 760 may be performed, and if the threshold is not exceeded at any step, step 770 may be performed.

At step 760, the subpixel sharing setting unit (133) of the control unit (13) can be configured to activate subpixel sharing of pixels included in objects whose motion state is determined to be dynamic. In dynamic scenes, the viewer's eyes are more sensitive to the overall flow of the scene than to the details of rapidly moving dynamic scenes. Therefore, subpixel sharing does not significantly impair visual quality. Subpixel sharing can reduce power consumption and computational burden, and extend the lifespan of the display.

At step 770, the subpixel sharing setting unit (133) of the control unit (13) can be set to disable subpixel sharing for pixels included in objects whose motion state is determined to be static. Since the viewer's eyes are better able to perceive details in static scenes, clarity and accurate colors can be maintained by not sharing subpixels.

According to the LED guide display board (10) according to the present embodiment, each object is identified in each frame of the image to determine the type of the object, a change in the state of the object is detected to determine the motion state of the object, and whether or not to share a subpixel corresponding to the object is determined based on the motion state, thereby saving the energy of the LED guide display board (10).

Meanwhile, even though all components constituting the embodiments of the present invention have been described as being combined or operating in combination, the present invention is not necessarily limited to such embodiments. That is, within the scope of the purpose of the present invention, all of the components may be selectively combined and operated one or more times. In addition, although all of the components may be implemented as individual independent hardware, some or all of the components may be selectively combined and implemented as a computer program having program modules that perform some or all of the functions of the combined hardware in one or more pieces. The codes and code segments constituting the computer program can be easily inferred by those skilled in the art of the present invention. Such a computer program may be stored in a non-transitory computer-readable storage medium and read and executed by a computer, thereby implementing the embodiments of the present invention.

Here, the non-transitory readable storage medium refers to a medium that permanently stores data and can be read by a device, rather than a medium that stores data for a short period of time, such as a register, cache, or memory. Specifically, the above-described programs may be stored and provided on a non-transitory readable storage medium, such as a CD, DVD, hard disk, Blu-ray disc, USB, memory card, or ROM.

Although the preferred embodiments of the present invention have been illustrated and described above, the present invention is not limited to the specific embodiments described above, and various modifications may be made by those skilled in the art without departing from the spirit or scope of the present invention as claimed in the claims. Furthermore, such modifications should not be understood individually from the technical idea or prospect of the present invention.

10: LED information board
11: Display section
12: Storage
13: Control unit
131: Object recognition unit
132: Object state change detection unit
133: Subpixel sharing settings
134: Frame comparison interval setting section

Claims (8)

A display unit in which a plurality of pixels including a plurality of subpixels are arranged and an image including a plurality of frames is output using the subpixels;
Includes a control unit that controls whether to share the above subpixels,
The above control unit
An object recognition unit that identifies at least one object included in each frame of an image output to the display unit and determines the type of each identified object;
An object state change detection unit that detects a state change of each object in the detection target frame based on the type of each object in the detection target frame among the plurality of frames; and
Includes a subpixel sharing setting unit that determines whether to share multiple subpixels included in each of the above objects based on the type of each of the above objects,
The above subpixel has one of the colors R, G, and B,
The above pixel is composed of an RGBG array corresponding to the plurality of subpixels,
If the activation of the above subpixel sharing is determined, the subpixel sharing setting unit shares the data of the G subpixel with the neighboring R subpixel or B subpixel,
If the above subpixel sharing is determined to be disabled, the subpixel sharing setting unit does not share the data of the G subpixel with the neighboring subpixel.
The above object recognition unit classifies the type of each object in each frame into a core element, text, or background through an artificial intelligence algorithm,
The above object state change detection unit detects a state change for each object classified as a core element or text type among at least one object of the detection target frame,
An LED guide display board characterized in that the subpixel sharing setting unit shares a plurality of subpixels of pixels included in each object classified as a background type among at least one object of the detection target frame with adjacent pixels. In the first paragraph,
The above object state change detection unit detects at least one object of the detection target frame and
Detecting a change in the state of each object of the detection target frame by comparing at least one object of the comparison frame,
An LED guide display board characterized in that the above comparison frame is a frame at a point in time when a frame comparison interval is added to the above detection target frame. delete In the second paragraph,
The above control unit
Further comprising a frame comparison interval setting unit that sets a frame comparison interval applied when detecting a change in the status of each object above,
An LED guide display board characterized in that the frame comparison interval setting unit sets the frame comparison interval based on the number of objects identified by the object recognition unit. In the second paragraph,
The above object status change detection unit
By comparing the position of each object, the size of each object, and the pixel value included in each object in the detection target frame and the comparison frame, the state change of each object is detected,
Each of the change in position of each object, the change in size of each object, and the change in pixel value included in each object
An LED guide signboard characterized in that it determines whether to share multiple subpixels of pixels included in each object based on whether each exceeds a preset threshold value. In paragraph 5,
The change in pixel values contained in each of the above objects is
In the above detection target frame, the size of each object is normalized to be the same as the size of each object in the above comparison frame,
Calculate the difference in pixel values of pixels with the same coordinates among the pixels contained in each object of the two normalized frames,
An LED guide signboard characterized in that the difference in pixel values of all pixels included in each object of two normalized frames is determined by adding them up. In paragraph 5,
The above object status change detection unit
If each of the change in position of each object, the change in size of each object, and the change in pixel value included in each object exceeds each of the preset threshold values, the motion state of each object is determined as a dynamic state,
An LED guide signboard characterized in that, if at least one change value among the change value of the position of each object, the change value of the size of each object, and the change value of the pixel value included in each object does not exceed the respective threshold values, the motion state of each object is determined to be a static state. In paragraph 7,
The above subpixel sharing setting section
Each object determined to be in the above motion state as the above dynamic state is determined to share multiple subpixels of pixels included in each object with adjacent pixels,
An LED guide signboard characterized in that each object in which the motion state is determined to be the static state is determined not to share multiple subpixels of pixels included in each object with adjacent pixels.