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公开(公告)号：US20220164961A1
公开(公告)日：2022-05-26
申请号：US17531972
申请日：2021-11-22
Applicant: Samsung Electronics Co., Ltd.
Inventor： Hyunjeong LEE , Seungwook KIM , Changbeom PARK , Byung In YOO
Abstract: A method, apparatus, and system with tracking are disclosed. The apparatus is configured to acquire a feature map of a template image, a color histogram of a foreground of the template image that has an object, and a color histogram of a background of the template image other than the foreground, acquire a feature score map, and a bounding box map corresponding to the feature score map, based on the feature map of the template image and a feature map of a search image, acquire a color score map based on the color histogram of the foreground, the color histogram of the background, and a color value of the search image, acquire a final score map, and a bounding box map corresponding to the final score map, based on the feature score map, the color score map, and the bounding box map, and output the corresponding bounding box.
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公开(公告)号：US20240144527A1
公开(公告)日：2024-05-02
申请号：US18311340
申请日：2023-05-03
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor： Changbeom PARK , Dongwook LEE , Byung In YOO
CPC classification number: G06T7/74 , G06T7/62 , G06T7/66 , G06T2207/20081
Abstract: An object tracking apparatus is provided. The object tracking apparatus includes a processor configured to detect, from a first image frame, an amodal region including a first visible region in which a target object is visible and an occlusion region in which the target object is occluded, determine, based on the detected amodal region of the first image frame, that at least a partial region of a second image frame is a search region of the second image frame, the second image frame being temporally adjacent to the first image frame, and track the target object in the second image frame based on the determined search region.
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公开(公告)号：US20220383514A1
公开(公告)日：2022-12-01
申请号：US17528501
申请日：2021-11-17
Applicant: Samsung Electronics Co., Ltd.
Inventor： Hyunjeong LEE , SeungWook KIM , Changbeom PARK , Ju Hwan SONG , Byung In YOO
Abstract: A processor-implemented method with object tracking includes: determining an initial template image based on an input bounding box and an input image; generating an initial feature map by extracting features from the initial template image; generating a transformed feature map by performing feature transformation adapted to objectness on the initial feature map; generating an objectness probability map and a bounding box map indicating bounding box information corresponding to each coordinate of the objectness probability map by performing objectness-based bounding box regression analysis on the transformed feature map; and determining a refined bounding box based on the objectness probability map and the bounding box map.
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公开(公告)号：US20220301190A1
公开(公告)日：2022-09-22
申请号：US17668513
申请日：2022-02-10
Inventor： Youngjun KWAK , Taekyung KIM , Changick KIM , Byeongjun PARK , Changbeom PARK
Abstract: A scene flow estimation method and apparatus are provided. The scene flow estimation method includes receiving a first feature pyramid and a second feature pyramid by encoding a first frame and a second frame of an input image through the same encoder, extracting a depth feature based on the first feature pyramid, extracting a motion feature based on the first feature pyramid and the second feature pyramid, generating an overall feature based on the depth feature and the motion feature, and estimating a scene flow based on the overall feature.
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公开(公告)号：US20220180633A1
公开(公告)日：2022-06-09
申请号：US17537762
申请日：2021-11-30
Applicant: Samsung Electronics Co., Ltd.
Inventor： Jingtao XU , Yiwei CHEN , Changbeom PARK , Hyunjeong LEE , Byung In YOO , Jaejoon HAN , Qiang WANG , Jiaqian YU
Abstract: A target object detection method and apparatus are provided. The target object detection method and apparatus are applicable to fields such as artificial intelligence, object tracking, object detection, and image processing. An object is detected from a frame image of a video including a plurality of frame images based on a target template set including one or more target templates.
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Patent Agency Ranking
公开(公告)号：US20220027728A1
公开(公告)日：2022-01-27
申请号：US17342858
申请日：2021-06-09
Inventor： Seungju HAN , Minsu CHO , Juhong MIN , Jongmin LEE , Changbeom PARK
Abstract: A method with image correspondence includes: acquiring a plurality of feature map pairs corresponding to outputs of a plurality of layers of a convolutional neural network (CNN) in response to an input of an input image pair; selecting a portion of feature map pairs from among the plurality of feature map pairs based on a feature of each of the plurality of feature map pairs; generating a hyper feature map pair based on the selected portion of feature map pairs; and generating a correspondence result of the input image pair based on a correlation of the hyper feature map pair.
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公开(公告)号：US20240104410A1
公开(公告)日：2024-03-28
申请号：US18466139
申请日：2023-09-13
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor： Jiaqian Yu , Yiwei CHEN , Yifan YANG , Byung In YOO , Changbeom PARK , Dongwook LEE , Qiang WANG , Siyang PAN
Abstract: Disclosed is a method and device for processing data, and the method includes generating a target augmentation task sequence by processing the target data with a trained first model that performs inference on the target data to generate the target data augmentation task sequence, generate augmented target data by performing data augmentation on the target data according to the target augmentation task sequence, and obtaining a prediction result corresponding to the target data by inputting the augmented target data to a trained second model and performing a corresponding processing on the augmented target data by the trained second model.
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公开(公告)号：US20240073529A1
公开(公告)日：2024-02-29
申请号：US18103831
申请日：2023-01-31
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor： Solae LEE , Sungyoul PARK , Seungin PARK , Changbeom PARK , Hyeongseok SON , Byung In YOO
Abstract: An apparatus and a method of controlling a camera is provided. The apparatus includes a receiver configured to receive an image from an image sensor and a processor configured to detect a target object from the image, perform a first zoom adjustment operation of the camera including the image sensor based on whether the target object is changed and perform a second zoom adjustment of the camera based on a center point of the target object and a center point of the camera.
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公开(公告)号：US20230196589A1
公开(公告)日：2023-06-22
申请号：US18084003
申请日：2022-12-19
Applicant: Samsung Electronics Co., Ltd.
Inventor： Jiaqian YU , Siyang PAN , Changbeom PARK , Hyunjeong LEE , Byung In YOO , Qiang WANG , Yiwei CHEN
IPC: G06T7/246
CPC classification number: G06T7/248 , G06T2207/20016
Abstract: A processor-implemented method with target tracking includes: generating a first target tracking result based on a search region of a current frame image; determining a scale feature of the first target tracking result; predicting a scale of a target in the search region based on the scale feature of the first target tracking result; and generating a second target tracking result by adjusting the first target tracking result based on a scale predicting result.
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公开(公告)号：US20230154171A1
公开(公告)日：2023-05-18
申请号：US17720681
申请日：2022-04-14
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor： Seohyung LEE , Dongwook LEE , Changbeom PARK , Byung In YOO
Abstract: A method with self-attention includes: obtaining a three-dimensional (3D) feature map; generating 3D query data and 3D key data by performing a convolution operation based on the 3D feature map; generating two-dimensional (2D) vertical data based on a vertical projection of the 3D query data and the 3D key data; generating 2D horizontal data based on a horizontal projection of the 3D query data and the 3D key data; determining an intermediate attention result through a multiplication based on the 2D vertical data and the 2D horizontal data; and determining a final attention result through a multiplication based on the intermediate attention result and the 3D feature map.
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