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公开(公告)号：US20150077329A1
公开(公告)日：2015-03-19
申请号：US14189569
申请日：2014-02-25
Inventor： Ho Sub YOON , Chan Kyu PARK , Jae Hong KIM , Jong-Hyun PARK
IPC: G06F3/01
Abstract: 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.
Abstract translation: 一种方法包括将从相机拍摄的图像信息获得的瞳孔中心位置与终端的显示面板上的UI的中心位置相匹配，并且当瞳孔中心位置与瞳孔中心位置之间的匹配时将该匹配识别为UI上的触摸， UI的中心位置保持预定时间或更长。
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公开(公告)号：US20240378178A1
公开(公告)日：2024-11-14
申请号：US18584048
申请日：2024-02-22
Inventor： Jae Yoon JANG , Jae Hong KIM , Ho Sub YOON
Abstract: The present invention relates to a method and apparatus for re-registering pre-registered identity information in a new identity recognition system. A method of re-registering identity feature information in an identity recognition system according to an embodiment of the present disclosure may include: identifying one or more first identity feature information calculated by the first feature calculation device and stored in a database; generating one or more latent space information by inputting the one or more first identity feature information into a specific model for latent space estimation; generating one or more second identity feature information by inputting the one or more latent space information into a second feature calculation device; and storing the one or more second identity feature information in a new database.
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公开(公告)号：US20240233145A9
公开(公告)日：2024-07-11
申请号：US18490386
申请日：2023-10-19
Inventor： Ho Sub YOON , Jae Hong KIM , Jong Won MOON , Jae Yoon JANG
IPC: G06T7/292 , G06V10/74 , G06V10/774 , G06V10/80
CPC classification number: G06T7/292 , G06V10/761 , G06V10/774 , G06V10/80 , G06T2207/10016 , G06T2207/20081 , G06T2207/20221
Abstract: 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.
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公开(公告)号：US20240135556A1
公开(公告)日：2024-04-25
申请号：US18490386
申请日：2023-10-18
Inventor： Ho Sub YOON , Jae Hong KIM , Jong Won MOON , Jae Yoon JANG
IPC: G06T7/292 , G06V10/74 , G06V10/774 , G06V10/80
CPC classification number: G06T7/292 , G06V10/761 , G06V10/774 , G06V10/80 , G06T2207/10016 , G06T2207/20081 , G06T2207/20221
Abstract: 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.
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Patent Agency Ranking
公开(公告)号：US20230147274A1
公开(公告)日：2023-05-11
申请号：US17903364
申请日：2022-09-06
Inventor： Woo Han YUN , Do Hyung KIM , Jae Hong KIM , Tae Woo KIM , Chan Kyu PARK , Ho Sub YOON , Jae Yeon LEE , Min Su JANG
CPC classification number: G06V20/68 , G06V10/25 , G06V10/255 , G06V2201/07 , G06Q50/12
Abstract: 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.
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6.发明公开公开(公告)号：US20230142797A1
公开(公告)日：2023-05-11
申请号：US17941892
申请日：2022-09-09
Inventor： Tae Woo KIM , Jae Hong KIM , Chan Kyu PARK , Woo Han YUN , Ho Sub YOON , Min Su JANG
CPC classification number: G06N20/00 , B25J9/163 , B25J9/1605
Abstract: 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.
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7.发明申请SYSTEM AND METHOD FOR DETECTING MULTIPLE-INTELLIGENCE USING INFORMATION TECHNOLOGY 审中-公开使用信息技术检测多智能的系统和方法公开(公告)号：US20140170628A1
公开(公告)日：2014-06-19
申请号：US13929741
申请日：2013-06-27
Inventor： Chan Kyu PARK , Woo han YUN , Do-Hyung KIM , Ho Sub YOON , Jae Hong KIM
IPC: G09B7/06
CPC classification number: G09B7/06
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.
Abstract translation: 提供了一种多智能检测系统。 多智能检测系统包括图像检测装置，其获得用于评估来自用户的多智能图像信息;多智能测量模型单元，从图像检测装置接收图像信息，以通过选择以下各项之一来执行多智能评估 第一反应和第二反应，以及内容单元，其从所述多智能测量模型单元接收所评估的多智能的结果，以基于所接收的结果生成单独投资组合。 多智能测量模型单元根据用户的感觉和行为模式，基于参考反应来选择第一和第二反应之一。
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公开(公告)号：US20140107842A1
公开(公告)日：2014-04-17
申请号：US14021983
申请日：2013-09-09
Inventor： Young Woo YOON , Do Hyung KIM , Woo Han YUN , Ho Sub YOON , Jae Yeon LEE , Jae Hong KIM , Jong Hyun PARK
CPC classification number: G05D1/0231 , G05D1/0248 , G06K9/00342 , G06T7/20 , G06T2207/10024 , G06T2207/10028 , G06T2207/30196
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.
Abstract translation: 提供了人类跟踪方法和机器人装置。 人体跟踪方法包括接收包括彩色图像和深度图像的图像帧，确定用户跟踪在先前图像帧中是否成功，以及确定用户的位置和机器人装置要移动的目标位置 基于图像帧中的彩色图像和深度图像，当用户跟踪在前一帧中成功时。 因此，可以从深度图像预测用户的当前位置，可以快速执行用户跟踪，并且可以使用用户跟踪中获取的用户信息来重新检测和跟踪用户，当用户的检测由于障碍物或者 类似。
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公开(公告)号：US20140086491A1
公开(公告)日：2014-03-27
申请号：US13899512
申请日：2013-05-21
Inventor： Dong Jin LEE , Ho Sub YOON , Jae Hong KIM , Myung Ae CHUNG
CPC classification number: G06K9/00523 , G06K9/3258 , G06K9/44 , G06K9/481 , G06K2209/01 , G10L13/00
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.
Abstract translation: 公开了一种用于证明符号信息的方法和装置。 所述符号信息提供方法包括：从输入图像中提取第一符号，其中所述第一符号被预定义; 从所述输入图像中提取表示与所述第一符号的位置相对应的与所述第一符号相对应的信息的第二符号; 并且以语音的形式提供关于第一标志的信息的至少一条信息和关于第二标志的信息。 因此，用户可以正确地识别由符号表示的信息。
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