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

IPC: G06T7/246 ,  G06K9/20 ,  G06K9/62

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.

公开(公告)号：US20220303455A1

公开(公告)日：2022-09-22

申请号：US17407463

申请日：2021-08-20

Applicant: SAMSUNG ELECTRONICS CO., LTD

Inventor： Seungin PARK ,  Jinwoo SON ,  Changyong SON ,  Byung In YOO ,  Sangil JUNG

IPC: H04N5/232 ,  G06T7/246

Abstract: An image sensor includes: a motion detection circuit configured to detect a motion in image frames; and a micro control unit (MCU) configured to adjust at least a portion of a target frame among the image frames based on whether the motion is detected, and detect whether a target object is present based on the adjusted portion of the target frame.

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

IPC: G06V20/40 ,  G06V10/22 ,  G06V10/44 ,  G06V10/74 ,  G06V10/75 ,  G06K9/62

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.

公开(公告)号：US20220130175A1

公开(公告)日：2022-04-28

申请号：US17570711

申请日：2022-01-07

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Solae LEE ,  Youngjun KWAK ,  Sungheon PARK ,  Byung In YOO ,  Yong-Il LEE ,  Hana LEE ,  Jiho CHOI

IPC: G06V40/40 ,  G06T7/00 ,  G06K9/62 ,  G06V10/20 ,  G06V10/25

Abstract: A method and apparatus for detecting a liveness based on a phase difference are provided. The method includes generating a first phase image based on first visual information of a first phase, generating a second phase image based on second visual information of a second phase, generating a minimum map based on a disparity between the first phase image and the second phase image, and detecting a liveness based on the minimum map.

公开(公告)号：US20210166045A1

公开(公告)日：2021-06-03

申请号：US16939757

申请日：2020-07-27

Applicant: Samsung Electronics Co., Ltd.

Inventor： Youngjun KWAK ,  Byung In YOO ,  Yong-Il LEE ,  Yunhao ZHANG ,  Huxing SUN

IPC: G06K9/00 ,  G06N3/08 ,  G06T7/521

Abstract: A method with liveness testing may include: acquiring an infrared (IR) image including an object, and a depth image including the object; generating a first preprocessed IR image by performing first edge enhancement preprocessing on the IR image; generating a preprocessed depth image by performing second edge enhancement preprocessing on the depth image; and determining whether the object is a genuine object based on the first preprocessed IR image and the preprocessed depth image.

公开(公告)号：US20210150367A1

公开(公告)日：2021-05-20

申请号：US16902299

申请日：2020-06-16

Applicant: Samsung Electronics Co., Ltd.

Inventor： Youngjun KWAK ,  Youngsung KIM ,  Byung In YOO ,  Yong-Il LEE ,  Hana LEE ,  Sangil JUNG

IPC: G06N3/08 ,  G06N3/04

Abstract: A processor-implemented method including implementing a deep neural network (DNN) model using input data, generating, by implementing the DNN model, first output data from the DNN model, changing the DNN model, generating, by implementing the changed DNN model using the input data, second output data of the changed DNN model, and determining result data by combining the first output data and the second output data.

公开(公告)号：US20200151481A1

公开(公告)日：2020-05-14

申请号：US16661394

申请日：2019-10-23

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Byung In YOO

IPC: G06K9/00 ,  G06F16/535 ,  G06N3/08 ,  G06N3/04 ,  G06K9/62

Abstract: A processor-implemented recognition method includes: receiving query input data; determining a domain to which the query input data belongs using a neural network-based classifier; and in response to the query input data belonging to a first domain, generating second query data of a second domain based on the query input data.

公开(公告)号：US20190213400A1

公开(公告)日：2019-07-11

申请号：US16182861

申请日：2018-11-07

Applicant: Samsung Electronics Co., Ltd.

Inventor： Youngsung KIM ,  Youngjun KWAK ,  Byung In YOO ,  Seohyung LEE

IPC: G06K9/00 ,  G06K9/62 ,  G10L15/06 ,  G10L15/02

CPC classification number: G06K9/00315 ,  G06K9/00335 ,  G06K9/00597 ,  G06K9/6262 ,  G10L15/02 ,  G10L15/063

Abstract: A method and apparatus with emotion recognition acquires a plurality of pieces of data corresponding a plurality of inputs for each modality and corresponding to a plurality of modalities; determines a dynamics representation vector corresponding to each of the plurality of modalities based on a plurality of features for each modality extracted from the plurality of pieces of data; determines a fused representation vector based on the plurality of dynamics representation vectors corresponding to the plurality of modalities; and recognizes an emotion of a user based on the fused representation vector.

公开(公告)号：US20190213399A1

公开(公告)日：2019-07-11

申请号：US16225084

申请日：2018-12-19

Applicant: Samsung Electronics Co., Ltd.

Inventor： Byung In YOO ,  Youngjun KWAK ,  Youngsung KIM ,  Seohyung LEE

IPC: G06K9/00 ,  G10L25/63 ,  G10L17/02

CPC classification number: G06K9/00302 ,  G06K9/00281 ,  G06K9/00315 ,  G06K9/6274 ,  G06N3/04 ,  G06N3/084 ,  G10L25/78

Abstract: A facial expression recognition apparatus and method and a facial expression training apparatus and method are provided. The facial expression recognition apparatus generates a speech map indicating a correlation between a speech and each portion of an object based on a speech model, extracts a facial expression feature associated with a facial expression based on a facial expression model, and recognizes a facial expression of the object based on the speech map and the facial expression feature. The facial expression training apparatus trains the speech model and the facial expression model.

公开(公告)号：US20190122385A1

公开(公告)日：2019-04-25

申请号：US16223580

申请日：2018-12-18

Applicant: Samsung Electronics Co., Ltd.

Inventor： Byung In YOO ,  Chang Kyu CHOI ,  Chang Kyo LEE ,  Jae Joon HAN

IPC: G06T7/73 ,  G06T15/20 ,  G06K9/00 ,  G06T15/06 ,  G06T17/00 ,  G06T15/08 ,  G06K9/46 ,  G06T15/40 ,  G06K9/62

Abstract: An object recognition apparatus, a classification tree learning apparatus, an operation method of the object recognition apparatus, and an operation method of the classification tree learning apparatus are provided. The object recognition apparatus may include an input unit to receive, as an input, a depth image representing an object to be analyzed, and a processing unit to recognize a visible object part and a hidden object part of the object, from the depth image, using a classification tree.