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公开(公告)号：US20180315108A1
公开(公告)日：2018-11-01
申请号：US15959454
申请日：2018-04-23
Inventor： Weon Geun OH , Jong Gook KO , Da Un JUNG , Seung Jae LEE , Hyung Kwan SON , Keun Dong LEE
Abstract: An omni-channel management method includes receiving a distribution channel information and a product purchase information from each of a plurality of distribution channels, and integrating the received distribution channel information and the product purchase information; applying an image identification technology and a voice identification technology to retrieve and integrate information related to a product; receiving and integrating product information from a manufacturer, a seller, or a web site; verifying consistency of the integrated product information by checking whether detailed information included in the integrated product information is related to a same product; and providing the consistency-secured product information to a consumer and a plurality of distribution channels.
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公开(公告)号：US20180189596A1
公开(公告)日：2018-07-05
申请号：US15835662
申请日：2017-12-08
Inventor： Seung Jae LEE , Hyung Kwan SON , Keun Dong LEE , Jong Gook KO , Weon Geun OH , Da Un JUNG
CPC classification number: G06K9/4642 , G06K9/3233 , G06K9/6267 , G06K9/6271 , G06N20/00 , G06T2210/12
Abstract: A machine learning method for learning how to form bounding boxes, performed by a machine learning apparatus, includes extracting learning images including a target object among a plurality of learning images included in a learning database, generating additional learning images in which the target object is rotated from the learning images including the target object, and updating the learning database using the additional learning images.
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公开(公告)号：US20220012589A1
公开(公告)日：2022-01-13
申请号：US17370585
申请日：2021-07-08
Inventor： Jung Jae YU , Jong Gook KO , Won Young YOO , Keun Dong LEE , Su Woong LEE , Seung Jae LEE , Yong Sik LEE , Da Un JUNG
Abstract: A data learning device in a deep learning network characterized by a high image resolution and a thin channel at an input stage and an output stage and a low image resolution and a thick channel in an intermediate deep layer includes a feature information extraction unit configured to extract global feature information considering an association between all elements of data when generating an initial estimate in the deep layer; a direct channel-to-image conversion unit configured to generate expanded data having the same resolution as a final output from the generated initial estimate of the global feature information or intermediate outputs sequentially generated in subsequent layers; and a comparison and learning unit configured to calculate a difference between the expanded data generated by the direct channel-to-image conversion unit and a prepared ground truth value and update network parameters such that the difference is decreased.
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4.发明申请TRAJECTORY MODELING APPARATUS AND METHOD BASED ON TRAJECTORY TRANSFORMATION 审中-公开基于TRAJECTORY转换的轨迹建模装置和方法公开(公告)号：US20150169979A1
公开(公告)日：2015-06-18
申请号：US14333927
申请日：2014-07-17
Inventor： Jong Gook KO , Jin Woo CHOI , Ki Young MOON , Jang Hee YOO
IPC: G06K9/46
CPC classification number: G06K9/00335
Abstract: Provided is a trajectory modeling apparatus and method based on trajectory transformation which models a trajectory and compares a trajectory of an object and the modeled trajectory. The trajectory modeling apparatus includes an image input unit configured to receive an input image, an object trajectory generating unit configured to trace an object included in the input image to generate a trajectory of the object, a trajectory model generating unit configured to generate a trajectory model according to a directionality of the trajectory of the object by using the trajectory of the object, and a trajectory analyzing unit configured to analyze a trajectory of a target included in a test image by using the trajectory model to determine whether a behavior of the target is normal, based on the target trajectory analysis result.
Abstract translation: 提供了一种基于轨迹变换的轨迹建模装置和方法，其对轨迹进行建模并比较对象的轨迹和模拟轨迹。 轨迹建模装置包括被配置为接收输入图像的图像输入单元，被配置为跟踪输入图像中包含的对象的物体轨迹生成单元，生成对象的轨迹;轨迹模型生成单元，其被配置为生成轨迹模型 根据物体的轨迹的方向性，以及轨迹分析单元，被配置为通过使用轨迹模型来分析包含在测试图像中的目标的轨迹，以确定目标的行为是否为 正常，基于目标轨迹分析结果。
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Patent Agency Ranking
公开(公告)号：US20140089236A1
公开(公告)日：2014-03-27
申请号：US13733407
申请日：2013-01-03
Inventor： Yong Jin LEE , So Hee PARK , Jong Gook KO , Ki Young MOON , Jang Hee YOO
IPC: G06N99/00
CPC classification number: G06N20/00 , G06K9/6231 , G06K9/6235 , G06K9/6256 , G06K9/6282 , G06K2009/6236
Abstract: Disclosed is a learning method using extracted data features for simplifying a learning process or improving accuracy of estimation. The learning method includes dividing input learning data into two groups based on a predetermined reference, extracting data features for distinguishing the two divided groups, and performing learning using the extracted data features.
Abstract translation: 公开了一种使用提取的数据特征来简化学习过程或提高估计精度的学习方法。 该学习方法包括基于预定参考将输入学习数据分成两组，提取用于区分两个分组的数据特征，以及使用所提取的数据特征进行学习。
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6.发明申请公开(公告)号：US20230122553A1
公开(公告)日：2023-04-20
申请号：US17591445
申请日：2022-02-02
Inventor： Seung Jae LEE , Su Woong LEE , Yong Sik LEE , Ju Won LEE , Da Un JUNG , Jong Gook KO , Won Young YOO
Abstract: The present invention relates to an apparatus and method for drawing, the method comprising: inputting a drawing image; recognizing a component in the input drawing image; inferring a structure of an object based on the recognized component; and drawing the inferred structure of the object.
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公开(公告)号：US20200272863A1
公开(公告)日：2020-08-27
申请号：US16702721
申请日：2019-12-04
Inventor： Seung Jae LEE , Jong Gook KO , Keun Dong LEE , Su Woong LEE , Won Young YOO
Abstract: A fast object detection method and a fast object detection apparatus using an artificial neural network. The fast object detection method includes obtaining an input image; inputting the obtained input image into an object detection neural network using a plurality of preset bounding boxes; and detecting an object included in the input image by acquiring output data of the object detection neural network.
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公开(公告)号：US20190332625A1
公开(公告)日：2019-10-31
申请号：US16246707
申请日：2019-01-14
Inventor： Keun Dong LEE , Seung Jae LEE , Jong Gook KO , Hyung Kwan SON , Weon Geun OH , Da Un JUNG
IPC: G06F16/532 , G06K9/00 , G06K9/46 , G06K9/62 , G06F16/583 , G06F16/51
Abstract: An apparatus and method for searching for a building on the basis of an image and a method of constructing a building search database (DB) for image-based building search. The method includes constructing a building search DB, receiving a query image from a user terminal, detecting a region to which a building belongs in the query image, extracting features of the region detected in the query image, and searching the building search DB for a building matching the extracted features. Therefore, building search performance can be improved.
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9.发明申请METHOD AND APPARATUS FOR TRACKING OBJECT IN MULTIPLE CAMERAS ENVIRONMENT 审中-公开用于跟踪多个摄像机环境中的对象的方法和装置公开(公告)号：US20150332476A1
公开(公告)日：2015-11-19
申请号：US14140866
申请日：2013-12-26
Inventor： So Hee PARK , Jong Gook KO , Ki Young MOON , Jang Hee YOO
CPC classification number: G06K9/00295 , G06K9/00335 , G06T7/246 , G06T7/292 , G06T2207/10016 , G06T2207/30196 , G06T2207/30232 , H04N5/23296 , H04N5/247 , H04N7/181 , H04N7/188
Abstract: The present invention relates to a method of tracking an object in a multiple cameras environment and the method includes generating first feature information of the object from an image input from a first camera; detecting a second camera in which identification information for the object is recognized when the object moves out of a view angle of the first camera, and comparing second feature information of the object generated from an image input from the second camera with the first feature information to track the object from the image input from the second camera. According to the present invention, the object is tracked based on an image in one camera image and if the object moves out of the camera, the identification information of the terminal which is possessed by the object is recognized to hand over the camera to continuously track the same object.
Abstract translation: 本发明涉及一种跟踪多个摄像机环境中的物体的方法，该方法包括从第一照相机输入的图像生成物体的第一特征信息; 检测第二相机，其中当对象移出第一相机的视角时，识别对象的识别信息，并且将从第二相机输入的图像生成的对象的第二特征信息与第一特征信息相比较， 从第二台相机的图像输入跟踪物体。 根据本发明，基于一个摄像机图像中的图像来跟踪对象，并且如果对象移出相机，则识别出被摄体所拥有的终端的识别信息，以切换相机以连续跟踪 同一个对象。
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