Patents by Inventor Kil Taek Lim

Kil Taek Lim has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Publication number: 20230140696
    Abstract: Provided is a method of optimizing parameter intervals of manufacturing processes based on prediction intervals. The method includes: collecting process data by applying an experiment design method to a target process; training a second-order polynomial regression model based on the collected process data; estimating importance values of each input variable with respect to each output variable using the second-order polynomial regression model; defining an objective function for process optimization based on the second-order polynomial regression model; optimizing each parameter value by applying an optimization algorithm to the defined objective function; and optimizing each parameter interval including the optimized parameter value in an input space using the prediction interval of the second-order polynomial regression model.
    Type: Application
    Filed: September 2, 2022
    Publication date: May 4, 2023
    Inventors: Jung Won YU, Jin Hong KIM, Young Jae LEE, Kil Taek LIM
  • Publication number: 20220261577
    Abstract: A re-identification apparatus acquires a first image in which a tracking target entering an intersection is captured, and identifies the tracking target and targets having a predetermined positional relationship with the tracking target in the first image. The re-identification apparatus selects a camera to be used for re-identification of the tracking target based on a signal system of the intersection, and acquires a second image captured by the selected camera and one or more third images before or after the second image. The re-identification apparatus determines a target identified in the second image and the third images among the targets when identifying an object corresponding to the tracking target in the second image, and determines whether the re-identification of the tracking target is successful based on the targets identified in the first image and the target identified in the second image and the third images.
    Type: Application
    Filed: November 3, 2021
    Publication date: August 18, 2022
    Inventors: Seung Woo NAM, Jang Woon BAEK, Joon-Goo LEE, Kil Taek LIM, Byung Gil HAN
  • Publication number: 20220148193
    Abstract: The present invention is directed to solving the existing problems and provides an apparatus and method for optimizing object detection performance by re-learning data specific to an installed location from an online server using a localization module in an edge terminal receiving a fixed image like a closed circuit television (CCTV) camera.
    Type: Application
    Filed: November 9, 2021
    Publication date: May 12, 2022
    Applicant: ELECTRONICS AND TELECOMMUNICATIONS RESEARCH INSTITUTE
    Inventors: Yun Won CHOI, Jang Woon BAEK, Joon Goo LEE, Kil Taek LIM
  • Publication number: 20220147773
    Abstract: Provided is a method of creating a local database for local optimization of an object detector based on a deep neural network. The method includes performing preprocessing on an image extracted from real-time collected or pre-collected images from an edge device, modeling a static background image based on the image received through the pre-processing unit and calculating a difference image between a current input image and a background model to model a dynamic foreground image, detecting an object image from the image based on a training model, and creating a local database based on the background image, the foreground image synthesized with the background image, and the object image synthesized with the background image.
    Type: Application
    Filed: October 8, 2021
    Publication date: May 12, 2022
    Inventors: Joon Goo LEE, Jang Woon BAEK, Kil Taek LIM, Yun Won CHOI, Byung Gil HAN
  • Patent number: 10311319
    Abstract: Provided is a technology for recognizing vehicle license plate information which includes detecting a position of a license plate from a vehicle image obtained by imaging a vehicle, extracting individual character images by separating a plurality of characters from a region of the detected license plate in the vehicle image and extracting a license plate type of the license plate according to a predetermined criterion, recognizing a license plate character string on the basis of the extracted individual character images and the license plate type and outputting the recognized license plate character string.
    Type: Grant
    Filed: May 18, 2017
    Date of Patent: June 4, 2019
    Assignee: ELECTRONICS AND TELECOMMUNICATIONS RESEARCH INSTITUTE
    Inventors: Pyong Kun Kim, Hyun Woo Kang, Kwang Ju Kim, Jong Taek Lee, Kil Taek Lim, Yun Su Chung, Byung Gil Han
  • Publication number: 20180121744
    Abstract: Provided is a technology for recognizing vehicle license plate information which includes detecting a position of a license plate from a vehicle image obtained by imaging a vehicle, extracting individual character images by separating a plurality of characters from a region of the detected license plate in the vehicle image and extracting a license plate type of the license plate according to a predetermined criterion, recognizing a license plate character string on the basis of the extracted individual character images and the license plate type and outputting the recognized license plate character string.
    Type: Application
    Filed: May 18, 2017
    Publication date: May 3, 2018
    Applicant: ELECTRONICS AND TELECOMMUNICATIONS RESEARCH INSTITUTE
    Inventors: Pyong Kun KIM, Hyun Woo KANG, Kwang Ju KIM, Jong Taek LEE, Kil Taek LIM, Yun Su CHUNG, Byung Gil HAN
  • Publication number: 20150235105
    Abstract: An apparatus for rapidly detecting an object of interest includes: a first object of interest detector configured to determine a region of an object of interest for an image, from which the object of interest is to be detected, by using a first training image; and a second object of interest detector configured to detect the object of interest from the region of the object of interest determined by the first object of interest detector by using a second training image, which is bigger in size than the first training image.
    Type: Application
    Filed: August 27, 2014
    Publication date: August 20, 2015
    Applicant: Electronics and Telecommunications Research Institute
    Inventors: Byung-Gil HAN, Kil-Taek LIM, Yun-Su CHUNG, Soo-In LEE
  • Publication number: 20150110358
    Abstract: Provided is an apparatus and method for detecting a vehicle number plate that may determine whether an input image includes a number plate, based on an optimal feature to be used to determine whether the input image includes a number plate.
    Type: Application
    Filed: April 16, 2014
    Publication date: April 23, 2015
    Applicant: Electronics and Telecommunications Research Institute
    Inventors: Byung Gil HAN, Kil Taek LIM, Yun Su CHUNG, Soo In LEE
  • Patent number: 9008423
    Abstract: A method and apparatus for detecting and recognizing an object using a vector histogram based on a local binary pattern are disclosed. The apparatus of detecting and recognizing an object using a local binary pattern includes: a feature map creator configured to extract an object area in which a moving object exists from an input image, to create a local binary pattern by designating a local area in the object area, and to create a vector component map including information about magnitude vector components and direction vector components using the local binary pattern; a feature map configuring unit configured to divide the object area into a plurality of blocks and to create a feature vector map through a histogram using the vector component map in a unit of the block; and an object detector configured to detect and classify the moving object based on the feature vector map.
    Type: Grant
    Filed: May 21, 2013
    Date of Patent: April 14, 2015
    Assignee: Electronics and Telecommunications Research Institute
    Inventors: Kyu Bo Cho, Yun Su Chung, Kil Taek Lim, Eun Chang Choi, Soo In Lee
  • Publication number: 20140193071
    Abstract: A method and apparatus for detecting and recognizing an object using a vector histogram based on a local binary pattern are disclosed. The apparatus of detecting and recognizing an object using a local binary pattern includes: a feature map creator configured to extract an object area in which a moving object exists from an input image, to create a local binary pattern by designating a local area in the object area, and to create a vector component map including information about magnitude vector components and direction vector components using the local binary pattern; a feature map configuring unit configured to divide the object area into a plurality of blocks and to create a feature vector map through a histogram using the vector component map in a unit of the block; and an object detector configured to detect and classify the moving object based on the feature vector map.
    Type: Application
    Filed: May 21, 2013
    Publication date: July 10, 2014
    Applicant: ELECTRONICS AND TELECOMMUNICATIONS RESEARCH INSTITUTE
    Inventors: Kyu Bo CHO, Yun Su CHUNG, Kil Taek LIM, Eun Chang CHOI, Soo In LEE
  • Publication number: 20140177946
    Abstract: Disclosed herein is an apparatus and method for detecting a person from an input video image with high reliability by using gradient-based feature vectors and a neural network. The human detection apparatus includes an image preprocessing unit for modeling a background image from an input image. A moving object area setting unit sets a moving object area in which motion is present by obtaining a difference between the input image and the background image. A human region detection unit extracts gradient-based feature vectors for a whole body and an upper body from the moving object area, and detects a human region in which a person is present by using the gradient-based feature vectors for the whole body and the upper body as input of a neural network classifier. A decision unit decides whether an object in the detected human region is a person or a non-person.
    Type: Application
    Filed: August 5, 2013
    Publication date: June 26, 2014
    Applicant: Electronics and Telecommunicatidons Research Institute
    Inventors: Kil-Taek LIM, Yun-Su CHUNG, Byung-Gil HAN, Eun-Chang CHOI, Soo-In LEE
  • Publication number: 20140169664
    Abstract: Disclosed herein are an apparatus and method for recognizing a human in an image. The apparatus includes a learning unit and a human recognition unit. The learning unit calculates a boundary value between a human and a non-human based on feature candidates extracted from a learning image, detects a feature candidate for which an error is minimized as the learning image is divided into the human and the non-human using the calculated boundary value, and determines the detected feature candidate to be a feature. The human recognition unit extracts a candidate image where a human may be present from an acquired image, and determines whether the candidate image corresponds to a human based on the feature that is determined by the learning unit.
    Type: Application
    Filed: August 5, 2013
    Publication date: June 19, 2014
    Applicant: Electronics and Telecommunications Research Institute
    Inventors: Byung-Gil HAN, Yun-Su CHUNG, Kil-Taek LIM, Eun-Chang CHOI, Soo-In LEE
  • Publication number: 20030123730
    Abstract: In a document recognition system, a document structure analysis unit extracts a character image region from an input document image. A character string extraction unit extracts a character string image from the character image region. A character extraction unit extracts an individual character image from the character string image expressed in vertical lines by vertical line adjacency graphs by changing a pixel representation of the extracted character string image into a vertical line representation thereof. A character recognition unit recognizes each character in the individual character image and converting the recognized character into a corresponding character code.
    Type: Application
    Filed: December 27, 2002
    Publication date: July 3, 2003
    Inventors: Doo Sik Kim, Ho Yon Kim, Kil Taek Lim, Jae Gwan Song, Yun Seok Nam, Hye Kyu Kim