Abstract: A method and system for tracking an object in an input video using online training includes a step for training a classifier model by using global pattern matching, and a step for classifying and tracking each target through online training including the classifier model.

Abstract: Provided is a method of generating data for estimating a three-dimensional (3D) pose of an object included in an input image, the method including acquiring the input image including at least one moving object, estimating location information about each joint of a plurality of joints of the object included in the input image using a prediction model pretrained to estimate the location information about each joint of the plurality of joints of the object, and generating animation data that represents a movement of the object based on the estimated location information.

Abstract: A method and system for tracking an object in an input video using online training includes a step for training a classifier model by using global pattern matching, and a step for classifying and tracking each target through online training including the classifier model.

Abstract: Provided is a method of generating data for estimating a three-dimensional (3D) pose of an object included in an input image, the method including acquiring the input image including at least one moving object, estimating location information about each joint of a plurality of joints of the object included in the input image using a prediction model pretrained to estimate the location information about each joint of the plurality of joints of the object, and generating animation data that represents a movement of the object based on the estimated location information.

Abstract: A camera modeling system. The camera modeling system includes: a vanishing point detecting module configured to detect, from at least one reference detection object existing in a detection region, a first vanishing point and a second vanishing point; a view mode determining module configured to determine a camera view mode on the basis of a distance from a first position in the detection region to the first vanishing point and a distance from the first position to the second vanishing point; and a camera modeling module configured to select a camera modeling mode corresponding to the determined camera view mode and perform camera modeling through the selected camera modeling mode.

Abstract: A method and apparatus for counting a number of persons in an image are provided. The person counting apparatus includes: a detector configured to detect a movement area in a top-view distance image, of at least one image frame, providing distance information; an estimator configured to estimate a candidate head area from the movement area based on the distance information; and a determiner configured to determine whether the candidate head area is an actual head of a person based on a similarity to a circle of the candidate head area and a spherical curvature of the candidate head area estimated from the distance information about the candidate head area.

Abstract: A method for visualizing loitering objects includes: detecting at least one object determined to have been in a selected area of an input image for a preset time period; obtaining representative still images of each of the detected at least one object in respective time periods during the preset time period; and displaying the representative still images in a time order, or generating a video summary in which images of each of the detected at least one object, respectively included in the representative still images, are displayed together on a single image with indication of the time order.

Abstract: A method and apparatus for counting a number of persons in an image are provided. The person counting apparatus includes: a detector configured to detect a movement area in a top-view distance image, of at least one image frame, providing distance information; an estimator configured to estimate a candidate head area from the movement area based on the distance information; and a determiner configured to determine whether the candidate head area is an actual head of a person based on a similarity to a circle of the candidate head area and a spherical curvature of the candidate head area estimated from the distance information about the candidate head area.

Abstract: A method for visualizing loitering objects includes: detecting at least one object determined to have been in a selected area of an input image for a preset time period; obtaining representative still images of each of the detected at least one object in respective time periods during the preset time period; and displaying the representative still images in a time order, or generating a video summary in which images of each of the detected at least one object, respectively included in the representative still images, are displayed together on a single image with indication of the time order.

Abstract: A camera modeling system. The camera modeling system includes: a vanishing point detecting module configured to detect, from at least one reference detection object existing in a detection region, a first vanishing point and a second vanishing point; a view mode determining module configured to determine a camera view mode on the basis of a distance from a first position in the detection region to the first vanishing point and a distance from the first position to the second vanishing point; and a camera modeling module configured to select a camera modeling mode corresponding to the determined camera view mode and perform camera modeling through the selected camera modeling mode.

Abstract: The present invention provides two-scale tone management of an input image. A method of providing two-scale tone management contains the steps of: separating the input image into a base layer and a detail layer; separating a model image into a base layer and a detail layer; analyzing the input image globally for global contrast; analyzing the input image locally for local contrast; and performing detail preservation of the input image. A system contains a memory and a processor, where the processor is configured by the memory to perform the steps of: separating the input image into a base layer and a detail layer; separating a model image into a base layer and a detail layer; analyzing the input image globally for global contrast; analyzing the input image locally for local contrast; and performing detail preservation of the input image.

Abstract: The present invention provides gradient preservation of an input image. A method of providing gradient preservation of an input image, comprises the steps of: computing gradient fields of the input image; computing gradient fields of a remapped image, wherein the remapped image is the input image remapped; comparing a gradient of the remapped image to a predefined range of acceptable values, wherein the acceptable values depend on the input gradient; changing values of the gradient of the remapped image if the values of the gradient of the remapped image are not within the predefined range of acceptable values depending on the input gradient, resulting in x and y components of a modified gradient; and reconstructing the input image using the x and y components of the modified gradient.

Abstract: The present invention provides gradient preservation of an input image. A method of providing gradient preservation of an input image, comprises the steps of: computing gradient fields of the input image; computing gradient fields of a remapped image, wherein the remapped image is the input image remapped; comparing a gradient of the remapped image to a predefined range of acceptable values, wherein the acceptable values depend on the input gradient; changing values of the gradient of the remapped image if the values of the gradient of the remapped image are not within the predefined range of acceptable values depending on the input gradient, resulting in x and y components of a modified gradient; and reconstructing the input image using the x and y components of the modified gradient.

Abstract: The present invention provides two-scale tone management of an input image. A method of providing two-scale tone management contains the steps of: separating the input image into a base layer and a detail layer; separating a model image into a base layer and a detail layer; analyzing the input image globally for global contrast; analyzing the input image locally for local contrast; and performing detail preservation of the input image. A system contains a memory and a processor, where the processor is configured by the memory to perform the steps of: separating the input image into a base layer and a detail layer; separating a model image into a base layer and a detail layer; analyzing the input image globally for global contrast; analyzing the input image locally for local contrast; and performing detail preservation of the input image.