Patents by Inventor Ho Sub Yoon

Ho Sub Yoon 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: 8913798
    Abstract: Disclosed are a system and a method for recognizing a disguised face using a Gabor feature and a support vector machine (SVM) classifier according to the present invention. The system for recognizing a disguised face includes: a graph generation means to generate a single standard face graph from a plurality of facial image samples; a support vector machine (SVM) learning means to determine an optimal classification plane for discriminating a disguised face from the plurality of facial image samples and disguised facial image samples; and a facial recognition means to determine whether an input facial image is disguised using the standard face graph and the optimal classification plane when the facial image to be recognized is input.
    Type: Grant
    Filed: August 2, 2012
    Date of Patent: December 16, 2014
    Assignee: Electronics and Telecommunications Research Institute
    Inventors: Kye Kyung Kim, Jae Yeon Lee, Ho Sub Yoon, Jae Hong Kim, Joo Chan Sohn
  • Publication number: 20140348380
    Abstract: A method for tracking an object in an object tracking apparatus includes receiving an image frame of an image; and detecting a target, a depth analogous obstacle and an appearance analogous obstacle; tracking the target, the depth analogous obstacle and the appearance analogous obstacle; when the detected target overlaps the depth analogous obstacle, comparing the variation of tracking score of the target with that of the depth analogous obstacle. Further, the method includes continuously tracking the target when the variation of tracking score of the target is below that of the depth analogous obstacle and processing a next frame when the variation of tracking score of the target is above that of the depth analogous obstacle; and re-detecting the target.
    Type: Application
    Filed: January 24, 2014
    Publication date: November 27, 2014
    Applicant: ELECTRONICS AND TELECOMMUNICATIONS RESEARCH INSTITUTE
    Inventors: Youngwoo YOON, Woo han YUN, Ho sub YOON, Jae Yeon LEE, Do-Hyung KIM, Jae Hong KIM, Jong-Hyun PARK
  • Publication number: 20140218516
    Abstract: A human information recognition method includes analyzing sensor data from multi-sensor resource placed in a recognition space to generate human information based on the sensor data, the human information including an identity, location and activity information of people existed in the recognition space. Further, the human information recognition method includes mixing the human information based on the sensor data with human information, the human information being acquired through interaction with the people existed in the recognition space; and storing a human model of the people existed in the recognition space depending on the mixed human information in a database unit.
    Type: Application
    Filed: July 1, 2013
    Publication date: August 7, 2014
    Inventors: Do-Hyung KIM, Ho sub YOON, Jae Yeon LEE, Kyu-Dae BAN, Woo han YUN, Youngwoo YOON, Jae Hong KIM, Young-Jo CHO, Suyoung CHI, Kye Kyung KIM
  • Publication number: 20140170628
    Abstract: Provided is a multiple-intelligence detection system. The multiple-intelligence detection system includes an image detection device obtaining image information for evaluating multiple-intelligence from a user, a multiple-intelligence measurement model unit receiving the image information from the image detection device to perform multiple-intelligence evaluation through selection of one of a first reaction and a second reaction, and a content unit receiving a result of the evaluated multiple-intelligence from the multiple-intelligence measurement model unit to generate an individual portfolio on the basis of the received result. The multiple-intelligence measurement model unit selects one of the first and second reactions on the basis of a reference reaction according to feelings and behavior patterns of the user.
    Type: Application
    Filed: June 27, 2013
    Publication date: June 19, 2014
    Inventors: Chan Kyu PARK, Woo han YUN, Do-Hyung KIM, Ho Sub YOON, Jae Hong KIM
  • Patent number: 8705814
    Abstract: Disclosed is a method of detecting an upper body. The method includes detecting an omega candidate area including a shape formed of a face and a shoulder line of a human from a target image, cutting the target image into the upper body candidate area including the omega candidate area, detecting a human face from the upper body candidate area, and judging whether the upper body of the human is included in the target image according to the result of detecting the human face.
    Type: Grant
    Filed: December 21, 2011
    Date of Patent: April 22, 2014
    Assignee: Electronics and Telecommunications Research Institute
    Inventors: Woo Han Yun, Do Hyung Kim, Jae Yeon Lee, Kyu Dae Ban, Dae Ha Lee, Mun Sung Han, Ho Sub Yoon, Su Young Chi, Yun Koo Chung, Joo Chan Sohn, Hye Jin Kim, Young Woo Yoon, Jae Hong Kim, Jae Il Cho
  • Publication number: 20140107842
    Abstract: Provided are a human-tracking method and a robot apparatus. The human-tracking method includes receiving an image frame including a color image and a depth image, determining whether user tracking was successful in a previous image frame, and determining a location of a user and a goal position to which a robot apparatus is to move based on the color image and the depth image in the image frame, when user tracking was successful in the previous frame. Accordingly, a current location of the user can be predicted from the depth image, user tracking can be quickly performed, and the user can be re-detected and tracked using user information acquired in user tracking when detection of the user fails due to obstacles or the like.
    Type: Application
    Filed: September 9, 2013
    Publication date: April 17, 2014
    Applicant: Electronics and Telecommunications Research Institute
    Inventors: Young Woo YOON, Do Hyung KIM, Woo Han YUN, Ho Sub YOON, Jae Yeon LEE, Jae Hong KIM, Jong Hyun PARK
  • Publication number: 20140086491
    Abstract: A method and apparatus for proving sign information are disclosed. The sign information providing method includes: extracting a first sign from an input image, wherein the first sign is pre-defined; extracting a second sign representing information corresponding to the first sign around the location of the first sign, from the input image; and providing at least one piece of information of information about the first sign and information about the second sign in the form of voice. Accordingly, a user may correctly recognize information expressed by a sign.
    Type: Application
    Filed: May 21, 2013
    Publication date: March 27, 2014
    Applicant: Electronics and Telecommunications Research Institute
    Inventors: Dong Jin LEE, Ho Sub YOON, Jae Hong KIM, Myung Ae CHUNG
  • Publication number: 20140079295
    Abstract: An apparatus for discriminating a disguised face includes a face area detector configured to detect a face area in an input image provided from an external source. The apparatus includes a skin color modeling module configured to separate a skin color area from the face area and a disguised face discriminator configured to determine whether signals in the skin color area have a pulse component to discriminate whether a face in the input image is the disguised face.
    Type: Application
    Filed: September 3, 2013
    Publication date: March 20, 2014
    Applicant: Electronics and Telecommunications Research Institute
    Inventors: Ho sub YOON, Chan Kyu PARK, Kye Kyung KIM, Do-Hyung KIM, Jae Hong KIM
  • Patent number: 8548201
    Abstract: The present invention detects a candidate ROI group associated with character strings/figure strings on the basis of a result acquired through prior learning of various types of license plates, verifies the interested region candidate group detected by using at least one condition of five predetermined conditions, and determines an MBR region in the selected ROI region from the verified interested region candidate group by considering a ratio between the height and width of the ROI region to recognize the license plate for the automobile. According to the present invention, it is possible to automatically detect the location of the license plate regardless of various types of license plate specifications defined for each of countries.
    Type: Grant
    Filed: September 1, 2011
    Date of Patent: October 1, 2013
    Assignee: Electronics and Telecommunications Research Institute
    Inventors: Ho Sub Yoon, Kyu Dae Ban, Young Woo Yoon, Woo Han Yun, Do Hyung Kim, Jae Yeon Lee, Jae Hong Kim, Su Young Chi, Joo Chan Sohn
  • Publication number: 20130177247
    Abstract: Disclosed is a method of sequencing character information in order to increase precision of character recognition. The method includes: a pre-processing that extracts character information from an image to binarize the extracted character information through a predetermined threshold and extracts and thins a center line of the binarized character information; normalizing the pre-processed character information to character information according to a predetermined criteria; and sequencing the normalized character information using structural features including an end point or a divergence point of the character information. The present invention suggests an angle normalization method of input character information, a structural feature position determining method, and a structural feature numeral string generating method to strongly recognize characters configured by various fonts obtained from a natural scene regardless of an angle or a size of the characters.
    Type: Application
    Filed: August 30, 2012
    Publication date: July 11, 2013
    Applicant: Electronics and Telecommunications Research Institute
    Inventors: Ho Sub YOON, Ji Eun KIM, Kyu Dae BAN, Dong Jin LEE, Jae Hong KIM, Joo Chan SOHN
  • Publication number: 20130163829
    Abstract: Disclosed are a system and a method for recognizing a disguised face using a Gabor feature and a support vector machine (SVM) classifier according to the present invention. The system for recognizing a disguised face includes: a graph generation means to generate a single standard face graph from a plurality of facial image samples; a support vector machine (SVM) learning means to determine an optimal classification plane for discriminating a disguised face from the plurality of facial image samples and disguised facial image samples; and a facial recognition means to determine whether an input facial image is disguised using the standard face graph and the optimal classification plane when the facial image to be recognized is input.
    Type: Application
    Filed: August 2, 2012
    Publication date: June 27, 2013
    Applicant: Electronics and Telecommunications Research Institute
    Inventors: Kye Kyung KIM, Jae Yeon LEE, Ho Sub YOON, Jae Hong KIM, Joo Chan SOHN
  • Publication number: 20130148857
    Abstract: Disclosed are an apparatus for extracting a character area in a vehicle number plate and a method thereof. An apparatus for extracting a character area in a vehicle number plate according to an exemplary embodiment of the present invention includes a candidate area extracting unit configured to extract a plurality of character candidate areas from a vehicle number plate image using a plurality of algorithms; a filtering unit configured to determine a final character candidate area from the plurality of extracted character candidate areas; and a character area selecting unit configured to select a final character area from the final character candidate area using geometric information of blobs.
    Type: Application
    Filed: June 27, 2012
    Publication date: June 13, 2013
    Applicant: Electronics and Telecommunications Research Institute
    Inventors: Young Woo YOON, Ho Sub YOON, Kyu Dae BAN, Jae Hong KIM, Joo Chan SOHN
  • Publication number: 20120215383
    Abstract: A security control service system includes: a track security apparatus for traveling along a track installed in a place to be secured, and obtaining and transmitting security information to a security control apparatus; an autonomous mobile robot apparatus for traveling along the track together with the track security apparatus or freely traveling in the place to be secured, and obtaining and transmitting security information to the security control apparatus; and the security control apparatus for transmitting a control command for security control to the track security apparatus or the autonomous mobile robot apparatus after analyzing the security information.
    Type: Application
    Filed: February 23, 2012
    Publication date: August 23, 2012
    Applicant: Electronics and Telecommunications Research Institute
    Inventors: Ho sub YOON, Jae Yeon LEE, Do-Hyung KIM, Hye Jin KIM, Kyu Dae BAN, Youngwoo YOON, Woo-han YUN, Jae Hong KIM, Joo Chan SOHN, Heesung CHAE
  • Publication number: 20120155719
    Abstract: Disclosed is a method of detecting an upper body. The method includes detecting an omega candidate area including a shape formed of a face and a shoulder line of a human from a target image, cutting the target image into the upper body candidate area including the omega candidate area, detecting a human face from the upper body candidate area, and judging whether the upper body of the human is included in the target image according to the result of detecting the human face.
    Type: Application
    Filed: December 21, 2011
    Publication date: June 21, 2012
    Applicant: Electronics and Telecommunications Research Institute
    Inventors: Woo Han YUN, Do Hyung KIM, Jae Yeon LEE, Kyu Dae BAN, Dae Ha LEE, Mun Sung HAN, Ho Sub YOON, Su Young CHI, Yun Koo CHUNG, Joo Chan SOHN, Hye Jin KIM, Young Woo YOON, Jae Hong KIM, Jae Il CHO
  • Patent number: 8204311
    Abstract: A gesture spotting detection method and apparatus employ a shoulder-line algorithm. The shoulder-line detecting method recognizes a GSD calling gesture that occurs in a shoulder-line, head or higher part in a remote distance or a short distance, although a user does not have a fixed posture. In the method, an image of people is received, and skin information of a person in the image is detected to detect a face area. Then, the cloth color information of the person is modeled from the inputted image to detect a cloth area. An external space is defined from the image based on the body space area, and an edge is extracted from the image based on the body space and the external space. Then, shoulder-line information is acquired based on an energy function obtained based on the body space, the external space, and the edge.
    Type: Grant
    Filed: February 12, 2007
    Date of Patent: June 19, 2012
    Assignee: Electronics and Telecommunications Research Institute
    Inventors: Hye Jin Kim, Ho Sub Yoon, Do Hyung Kim, Jae Yeon Lee
  • Publication number: 20120148101
    Abstract: Disclosed is a method of extracting a text area, the method including generating a text area prediction value within an input second image based on a plurality of text area data stored in a database including geometric information about a text area of a first image, generating a text recognition result value by determining whether a text is recognized with respect to a probable text area within the input second image, and selecting a text area within the second image by combining the generated text area prediction value and text recognition result value.
    Type: Application
    Filed: December 13, 2011
    Publication date: June 14, 2012
    Applicant: ELECTRONICS AND TELECOMMUNICATIONS RESEARCH INSTITUTE
    Inventors: Young Woo YOON, Ho Sub Yoon, Kyu Dae Ban, Jae Yeon Lee, Do Hyung Kim, Su Young Chi, Jae Hong Kim, Joo Chan Sohn
  • Publication number: 20120057756
    Abstract: The present invention detects a candidate ROI group associated with character strings/figure strings on the basis of a result acquired through prior learning of various types of license plates, verifies the interested region candidate group detected by using at least one condition of five predetermined conditions, and determines an MBR region in the selected ROI region from the verified interested region candidate group by considering a ratio between the height and width of the ROI region to recognize the license plate for the automobile. According to the present invention, it is possible to automatically detect the location of the license plate regardless of various types of license plate specifications defined for each of countries.
    Type: Application
    Filed: September 1, 2011
    Publication date: March 8, 2012
    Applicant: Electronics and Telecommunications Research Institute
    Inventors: Ho Sub YOON, Kyu Dae BAN, Young Woo YOON, Woo Han YUN, Do Hyung KIM, Jae Yeon LEE, Jae Hong KIM, Su Young CHI, Joo Chan SOHN
  • Patent number: 8014567
    Abstract: A method and apparatus for recognizing a gesture in an image processing system. In the apparatus, an input unit receives an image obtained by capturing a gesture of a user using a camera. A detector detects a face area in the input image, and detects a hand area in gesture search areas. The gesture search areas being set by dividing the image into predetermined areas with reference to a predetermined location of the detected face area. A controller sets the gesture search areas, determines whether a gesture occurs in the detected hand area, and selects a detection area with respect to the gesture to generate a control command for controlling an image device. A calculator calculates skin-color information and differential-area information for checking a gesture in the detected hand area. Accordingly, a hand area can be accurately detected, and a gesture can be separated from peripheral movement information, so that mal-functioning caused by gesture recognition can be reduced.
    Type: Grant
    Filed: July 17, 2007
    Date of Patent: September 6, 2011
    Assignee: Electronics and Telecommunications Research Institute
    Inventors: Ho Sub Yoon, Su Young Chi, Do Hyung Kim, Hye Jin Kim, Jae Yeon Lee
  • Publication number: 20110001813
    Abstract: Provided is a gesture recognition apparatus. The gesture recognition apparatus includes a human detection unit, a gesture region setting region, an arm detection unit and a gesture determination unit. The human detection unit detects a face region of a user from an input image. The gesture region setting unit sets a gesture region, in which a gesture of the user's arm occurs, with respect to the detected face region. The arm detection unit detects an arm region of the user in the gesture region. The gesture determination unit analyzes a position, moving directionality and shape information of the arm region in the gesture region to determine a target gesture of the user. Such a gesture recognition apparatus may be used as a useful means for a human-robot interaction in a long distance where a robot has difficulty in recognizing a user's voice.
    Type: Application
    Filed: December 15, 2009
    Publication date: January 6, 2011
    Applicant: Electronics and Telecommunications Research Institute
    Inventors: Do Hyung KIM, Jae Yeon Lee, Woo Han Yun, Su Young Chi, Ho Sub Yoon, Hye Jin Kim, Young Woo Yoon
  • Patent number: 7734067
    Abstract: In realizing a user recognition system and a method thereof, a user feature vector is extracted from an input facial image, and at least one cluster is generated and a user feature template is enrolled. The cluster includes the feature vector as a member of it. When a user facial image is inputted, a user feature vector is extracted from the image, and a similarity between the feature vector and the user feature template is calculated. When the similarity is greater than a predetermined threshold value, a user of the user feature template is recognized as the user of the input image.
    Type: Grant
    Filed: December 1, 2005
    Date of Patent: June 8, 2010
    Assignee: Electronics and Telecommunications Research Institute
    Inventors: Do-Hyung Kim, Jae-Yeon Lee, Ho-Sub Yoon, Young-Jo Cho