Abstract: Disclosed is a method for reducing noise. The method comprises decoding a bitstream encoded with a first codec, acquiring Quantization Parameter (QP) values determined in a process of encoding the bitstream with the first codec, detecting a frame with noise by using the QP values and inputting the frame with noise to a predefined noise filter.

Abstract: According to a first aspect of the present invention, a method for setting a region of interest may include: detecting a mark in an image frame photographed by a camera; and setting a region of interest using the detected mark.

Abstract: Disclosed is a method for reducing noise. The method comprises decoding a bitstream encoded with a first codec, acquiring Quantization Parameter (QP) values determined in a process of encoding the bitstream with the first codec, detecting a frame with noise by using the QP values and inputting the frame with noise to a predefined noise filter.

Abstract: According to an aspect of the present invention, there is provided a people counting apparatus including: a reception unit which receives a video of an area including an entrance captured by a video capture device; a line setting unit which sets an inline at the entrance and sets an outline such that a specific region is formed on a side of the inline; a detection unit which detects moving objects in the video using information differences between frames of the received video and detects human moving objects among the detected moving objects; a tracking unit which tracks the movement of each of the detected moving objects; and a counting unit which determines whether each of the moving objects passed the inline and the outline based on the tracked movement of each of the moving objects and counts the number of people based on the determination result.

Abstract: According to an aspect of the present invention, there is provided a method of detecting a repetitive pattern. The method includes: clustering a plurality of pixels that form an input image according to color and obtaining one or more color layers composed of pixels included in each cluster; selecting one or more effective layers from the color layers, wherein each of the effective layers includes a predetermined number or more of pixel components, each composed of a plurality of pixels and having a predetermined shape or a predetermined size of area; selecting a unit pattern repeatedly disposed at different locations in each effective layer from the pixel components included in each effective layer; calculating distances between the unit patterns in each effective layer; and calculating a repetition cycle of the unit pattern of the input image based on the calculated distances in each effective layer.

Abstract: According to an aspect of the present invention, there is provided a method of detecting a repetitive pattern. The method includes: clustering a plurality of pixels that form an input image according to color and obtaining one or more color layers composed of pixels included in each cluster; selecting one or more effective layers from the color layers, wherein each of the effective layers includes a predetermined number or more of pixel components, each composed of a plurality of pixels and having a predetermined shape or a predetermined size of area; selecting a unit pattern repeatedly disposed at different locations in each effective layer from the pixel components included in each effective layer; calculating distances between the unit patterns in each effective layer; and calculating a repetition cycle of the unit pattern of the input image based on the calculated distances in each effective layer.

Abstract: According to an aspect of the present invention, there is provided a method of detecting a repetitive pattern. The method includes: clustering a plurality of pixels that form an input image according to color and obtaining one or more color layers composed of pixels included in each cluster; selecting one or more effective layers from the color layers, wherein each of the effective layers includes a predetermined number or more of pixel components, each composed of a plurality of pixels and having a predetermined shape or a predetermined size of area; selecting a unit pattern repeatedly disposed at different locations in each effective layer from the pixel components included in each effective layer; calculating distances between the unit patterns in each effective layer; and calculating a repetition cycle of the unit pattern of the input image based on the calculated distances in each effective layer.

Abstract: According to a first aspect of the present invention, a method for setting a region of interest may include: detecting a mark in an image frame photographed by a camera; and setting a region of interest using the detected mark.

Abstract: A method of creating a texture map is provided. The method includes extracting feature points of a particular object from one or more image frames captured by a camera; selecting one of the image frames as an image frame to be used in the creation of a texture map of the particular object based on information regarding the extracted feature points; and creating the texture map of the particular object using the selected image frame.

Abstract: According to an aspect of the present invention, there is provided a method of detecting a repetitive pattern. The method includes: clustering a plurality of pixels that form an input image according to color and obtaining one or more color layers composed of pixels included in each cluster; selecting one or more effective layers from the color layers, wherein each of the effective layers includes a predetermined number or more of pixel components, each composed of a plurality of pixels and having a predetermined shape or a predetermined size of area; selecting a unit pattern repeatedly disposed at different locations in each effective layer from the pixel components included in each effective layer; calculating distances between the unit patterns in each effective layer; and calculating a repetition cycle of the unit pattern of the input image based on the calculated distances in each effective layer.

Abstract: According to an aspect of the present invention, there is provided a people counting apparatus including: a reception unit which receives a video of an area including an entrance captured by a video capture device; a line setting unit which sets an inline at the entrance and sets an outline such that a specific region is formed on a side of the inline; a detection unit which detects moving objects in the video using information differences between frames of the received video and detects human moving objects among the detected moving objects; a tracking unit which tracks the movement of each of the detected moving objects; and a counting unit which determines whether each of the moving objects passed the inline and the outline based on the tracked movement of each of the moving objects and counts the number of people based on the determination result.