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).
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Publication number: 20240135556Abstract: Provided are a device and method for tagging training data. The method includes detecting and tracking one or more objects included in a video using artificial intelligence (AI), when there is an object to be split in a result of tracking the detected objects, splitting the object in object units, and when there are identical objects to be merged among split objects, merging the objects.Type: ApplicationFiled: October 18, 2023Publication date: April 25, 2024Applicant: Electronics and Telecommunications Research InstituteInventors: Ho Sub YOON, Jae Hong KIM, Jong Won MOON, Jae Yoon JANG
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Publication number: 20230142797Abstract: Disclosed herein a method and apparatus for learning a locally-adaptive local device task based on cloud simulation. According to an embodiment of the present disclosure, there is provided a method for learning a locally-adaptive local device task. The method comprising: receiving observation data about a surrounding environment recognized by a local device; performing a domain randomization based on the observation data and a failure type of a task assigned to the local device and relearning a policy network of the assigned task based on the domain randomization; and updating a policy network of the local device for the assigned task by transmitting the relearned policy network to the local device.Type: ApplicationFiled: September 9, 2022Publication date: May 11, 2023Applicant: ELECTRONICS AND TELECOMMUNICATIONS RESEARCH INSTITUTEInventors: Tae Woo KIM, Jae Hong KIM, Chan Kyu PARK, Woo Han YUN, Ho Sub YOON, Min Su JANG
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Publication number: 20230147274Abstract: Disclosed herein a method and apparatus for recommending a table service based on image recognition. According to an embodiment of the present disclosure, there is provided a method for recommending a table service, including: receiving a table image that is captured in real time; acquiring, by using an artificial intelligence of a pre-learned learning model, table information that includes object information and food information of at least one table in the table image; and recommending, based on the table information, a service for each of the at least one table.Type: ApplicationFiled: September 6, 2022Publication date: May 11, 2023Inventors: Woo Han YUN, Do Hyung KIM, Jae Hong KIM, Tae Woo KIM, Chan Kyu PARK, Ho Sub YOON, Jae Yeon LEE, Min Su JANG
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Patent number: 10915772Abstract: Disclosed herein are an apparatus and method for registering face poses for face recognition. The apparatus includes a face detection unit for detecting the face of a user from an image including the face of the user; a pose recognition unit for recognizing the face pose of the face of the user based on the degree of rotation of the face of the user; a registration interface unit for providing an interface for showing information about whether the face poses of the face of the user are registered; and a face registration unit for registering the face pose of the face of the user when the face pose of the face of the user is recognized as an unregistered face pose based on the interface.Type: GrantFiled: December 20, 2018Date of Patent: February 9, 2021Assignee: ELECTRONICS AND TELECOMMUNICATIONS RESEARCH INSTITUTEInventors: Ho-Sub Yoon, Jae-Yoon Jang, Jae-Hong Kim
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Publication number: 20200167583Abstract: Disclosed herein are an apparatus and method for registering face poses for face recognition. The apparatus includes a face detection unit for detecting the face of a user from an image including the face of the user; a pose recognition unit for recognizing the face pose of the face of the user based on the degree of rotation of the face of the user; a registration interface unit for providing an interface for showing information about whether the face poses of the face of the user are registered; and a face registration unit for registering the face pose of the face of the user when the face pose of the face of the user is recognized as an unregistered face pose based on the interface.Type: ApplicationFiled: December 20, 2018Publication date: May 28, 2020Applicant: ELECTRONICS AND TELECOMMUNICATIONS RESEARCH INSTITUTEInventors: Ho-Sub YOON, Jae-Yoon JANG, Jae-Hong KIM
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Patent number: 10044711Abstract: Disclosed herein is a user authentication apparatus that captures images of the back and/or the palm of a hand using both a mobile camera, such as a smart phone or a smart pad, and a high-resolution stationary camera embedded in a PC, extracts various types of biometric information from the captured images, registers the extracted biometric information, and authenticates a new image when the new image is input. The user authentication apparatus includes a hand area detection unit for detecting a hand area from an input hand image, a hand area normalization unit for binarizing the detected hand area and normalizing the binarized hand area, a hand biometric information extraction unit for extracting unique hand biometric information from the normalized hand area, and a hand biometric information registration and authentication unit for registering the hand biometric information and authenticating the corresponding user based on the hand biometric information.Type: GrantFiled: March 22, 2016Date of Patent: August 7, 2018Assignee: Electronics and Telecommunications Research InstituteInventor: Ho-Sub Yoon
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Patent number: 9990538Abstract: A face recognition technology using physiognomic feature information, which can improve the accuracy of face recognition. For this, the face recognition method using physiognomic feature information includes defining standard physiognomic types for respective facial elements, capturing a facial image of a user, detecting information about facial elements from the facial image, and calculating similarity scores relative to the standard physiognomic types for respective facial elements of the user based on the facial element information.Type: GrantFiled: April 4, 2016Date of Patent: June 5, 2018Assignee: ELECTRONICS AND TELECOMMUNICATIONS RESEARCH INSTITUTEInventors: Ho-Sub Yoon, Kyu-Dae Ban, Young-Woo Yoon, Jae-Hong Kim
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Publication number: 20170193284Abstract: A face recognition technology using physiognomic feature information, which can improve the accuracy of face recognition. For this, the face recognition method using physiognomic feature information includes defining standard physiognomic types for respective facial elements, capturing a facial image of a user, detecting information about facial elements from the facial image, and calculating similarity scores relative to the standard physiognomic types for respective facial elements of the user based on the facial element information.Type: ApplicationFiled: April 4, 2016Publication date: July 6, 2017Inventors: Ho-Sub YOON, Kyu-Dae BAN, Young-Woo YOON, Jae-Hong KIM
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Publication number: 20160373438Abstract: Disclosed herein is a user authentication apparatus that captures images of the back and/or the palm of a hand using both a mobile camera, such as a smart phone or a smart pad, and a high-resolution stationary camera embedded in a PC, extracts various types of biometric information from the captured images, registers the extracted biometric information, and authenticates a new image when the new image is input. The user authentication apparatus includes a hand area detection unit for detecting a hand area from an input hand image, a hand area normalization unit for binarizing the detected hand area and normalizing the binarized hand area, a hand biometric information extraction unit for extracting unique hand biometric information from the normalized hand area, and a hand biometric information registration and authentication unit for registering the hand biometric information and authenticating the corresponding user based on the hand biometric information.Type: ApplicationFiled: March 22, 2016Publication date: December 22, 2016Inventor: Ho-Sub YOON
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Patent number: 9201425Abstract: 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: GrantFiled: September 9, 2013Date of Patent: December 1, 2015Assignee: ELECTRONICS AND TELECOMMUNICATIONS RESEARCH INSTITUTEInventors: Young Woo Yoon, Do Hyung Kim, Woo Han Yun, Ho Sub Yoon, Jae Yeon Lee, Jae Hong Kim, Jong Hyun Park
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Patent number: 9183431Abstract: An apparatus includes an image receiving module configured to collect a depth image provided from a camera, a human body detection module configured to detect a human body from the collected depth image, and an activity recognition module configured to recognize an action of the human body on the basis of a 3-dimensional action volume extracted from the human body and a previously learned action model.Type: GrantFiled: January 23, 2014Date of Patent: November 10, 2015Assignee: ELECTRONICS AND TELECOMMUNICATIONS RESEARCH INSTITUTEInventors: Do-Hyung Kim, Jae Hong Kim, Kye Kyung Kim, Youngwoo Yoon, Woo han Yun, Ho sub Yoon, Jae Yeon Lee, Suyoung Chi, Young-Jo Cho, Kyu-Dae Ban, Jong-Hyun Park
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Patent number: 9129154Abstract: 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: GrantFiled: December 15, 2009Date of Patent: September 8, 2015Assignee: ELECTRONICS AND TELECOMMUNICATIONS RESEARCH INSTITUTEInventors: Do Hyung Kim, Jae Yeon Lee, Woo Han Yun, Su Young Chi, Ho Sub Yoon, Hye Jin Kim, Young Woo Yoon
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Patent number: 9111142Abstract: 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: GrantFiled: May 21, 2013Date of Patent: August 18, 2015Assignee: ELECTRONICS AND TELECOMMUNICATIONS RESEARCH INSTITUTEInventors: Dong Jin Lee, Ho Sub Yoon, Jae Hong Kim, Myung Ae Chung
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Publication number: 20150092981Abstract: An apparatus includes an image receiving module configured to collect a depth image provided from a camera, a human body detection module configured to detect a human body from the collected depth image, and an activity recognition module configured to recognize an action of the human body on the basis of a 3-dimensional action volume extracted from the human body and a previously learned action model.Type: ApplicationFiled: January 23, 2014Publication date: April 2, 2015Applicant: Electronics and Telecommunications Research InstituteInventors: Do-Hyung KIM, Jae Hong KIM, Kye Kyung KIM, Youngwoo YOON, Woo han YUN, Ho sub YOON, Jae Yeon LEE, SUYOUNG CHI, Young-Jo CHO, Kyu-Dae BAN, Jong-Hyun PARK
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Publication number: 20150077329Abstract: A method includes matching a pupil center position obtained from image information taken by a camera and a center position of an UI on a display panel of a terminal, and recognizing the match as a touch on the UI when the match between the pupil center position and the center position of the UI is kept for a predetermined time or more.Type: ApplicationFiled: February 25, 2014Publication date: March 19, 2015Applicant: Electronics and Telecommunications Research InstituteInventors: Ho Sub YOON, Chan Kyu PARK, Jae Hong KIM, Jong-Hyun PARK
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Patent number: 8965068Abstract: 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: GrantFiled: September 3, 2013Date of Patent: February 24, 2015Assignee: Electronics and Telecommunications Research InstituteInventors: Ho sub Yoon, Chan Kyu Park, Kye Kyung Kim, Do-Hyung Kim, Jae Hong Kim
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Patent number: 8934716Abstract: 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: GrantFiled: August 30, 2012Date of Patent: January 13, 2015Assignee: Electronics and Telecommunications Research InstituteInventors: Ho Sub Yoon, Ji Eun Kim, Kyu Dae Ban, Dong Jin Lee, Jae Hong Kim, Joo Chan Sohn
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Patent number: 8913798Abstract: 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: GrantFiled: August 2, 2012Date of Patent: December 16, 2014Assignee: Electronics and Telecommunications Research InstituteInventors: Kye Kyung Kim, Jae Yeon Lee, Ho Sub Yoon, Jae Hong Kim, Joo Chan Sohn
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Publication number: 20140348380Abstract: 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: ApplicationFiled: January 24, 2014Publication date: November 27, 2014Applicant: ELECTRONICS AND TELECOMMUNICATIONS RESEARCH INSTITUTEInventors: Youngwoo YOON, Woo han YUN, Ho sub YOON, Jae Yeon LEE, Do-Hyung KIM, Jae Hong KIM, Jong-Hyun PARK
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Publication number: 20140218516Abstract: 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: ApplicationFiled: July 1, 2013Publication date: August 7, 2014Inventors: 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