Patents by Inventor Yun Won Choi

Yun Won Choi 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).

  • Patent number: 12026231
    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: Grant
    Filed: October 8, 2021
    Date of Patent: July 2, 2024
    Assignee: ELECTRONICS AND TELECOMMUNICATIONS RESEARCH INSTITUTE
    Inventors: Joon Goo Lee, Jang Woon Baek, Kil Taek Lim, Yun Won Choi, Byung Gil Han
  • 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
  • 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: 20210142101
    Abstract: Provided are a system and method for preprocessing sequential video images for fire detection based on deep learning and a method of training a deep learning network for fire detection. The system includes a selector configured to select a plurality of sequential images in streaming data as one set, a converter configured to convert color information of the plurality of selected sequential set images into spectral reflectance information using preset standard color space feature information, a filtering part configured to filter the plurality of sequential set images of which the color information is converted into the spectral reflectance information through a fire color filter, and a fire map generator configured to generate one fire map image by compressing the plurality of filtered sequential set images.
    Type: Application
    Filed: November 6, 2020
    Publication date: May 13, 2021
    Applicant: Electronics and Telecommunications Research Institute
    Inventors: In Su JANG, Kwang Ju KIM, Seung Woo NAM, Yun Won CHOI
  • Patent number: 10535142
    Abstract: Provided is a method of separating a foreground and a background by extracting a depth image through a stereo camera, generating an occupancy grid map on the basis of the depth image, predicting a free space, and computing a membership value, the method including setting a threshold value of a foreground object existing in a free space boundary region of the predicted free space, determining whether the membership value reaches the threshold value of the foreground object while the membership value is computed, terminating the computing of the membership value when it is determined that the membership value being computed reaches the threshold value of the foreground object in the determining, and separating a foreground and a background through the computed membership value.
    Type: Grant
    Filed: January 8, 2018
    Date of Patent: January 14, 2020
    Assignee: ELECTRONICS AND TELECOMMUNICATION RESEARCH INSTITUTE
    Inventors: Kwang Yong Kim, Jang Woon Baek, Yun Su Chung, Yun Won Choi
  • Publication number: 20180197295
    Abstract: Provided is a method of separating a foreground and a background by extracting a depth image through a stereo camera, generating an occupancy grid map on the basis of the depth image, predicting a free space, and computing a membership value, the method including setting a threshold value of a foreground object existing in a free space boundary region of the predicted free space, determining whether the membership value reaches the threshold value of the foreground object while the membership value is computed, terminating the computing of the membership value when it is determined that the membership value being computed reaches the threshold value of the foreground object in the determining, and separating a foreground and a background through the computed membership value.
    Type: Application
    Filed: January 8, 2018
    Publication date: July 12, 2018
    Applicant: Electronics and Telecommunications Research Institute
    Inventors: Kwang Yong KIM, Jang Woon Baek, Yun Su Chung, Yun Won Choi
  • Publication number: 20160314363
    Abstract: Provided are an obstacle detection apparatus and method using a difference image. The obstacle detection apparatus includes an difference image calculator configured to calculate a difference image from a target image from which an obstacle is to be recognized and a comparison image captured prior to the target image, an obstacle area extractor configured to extract an obstacle area which is predicted as including the obstacle, based on boundary information of the calculated difference image, an obstacle area information calculator configured to analyze image information of the extracted obstacle area to calculate a moving speed and moving direction of the obstacle and calculate a position of the obstacle from a reference positon of a camera, and a dangerous obstacle determiner configured to evaluate a danger grade of the obstacle, based on at least one of the moving speed, moving direction, and position of the obstacle.
    Type: Application
    Filed: March 3, 2016
    Publication date: October 27, 2016
    Inventor: Yun Won CHOI
  • Publication number: 20150143010
    Abstract: In a real-time embedded system, if a higher-level interrupt having a higher priority than a lower-level interrupt being processed occurs, the lower-level interrupt is stopped from being processed and the higher-level interrupt is processed. Upon completion of the processing of the higher-level interrupt, delay information about the lower-level interrupt is recorded in a compensation timer register corresponding to the lower-level interrupt, and when the processing is stopped, the lower-level interrupt is restarted. Upon completion of the processing of the lower-level interrupt, the next period of the lower-level interrupt is adjusted based on the delay information recorded in the compensation timer register to compensate for the delay.
    Type: Application
    Filed: May 6, 2014
    Publication date: May 21, 2015
    Applicant: ELECTRONICS AND TELECOMMUNICATIONS RESEARCH INSTITUTE
    Inventors: Jeong Ho SON, Yun Won Choi