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公开(公告)号:US20210192187A1
公开(公告)日:2021-06-24
申请号:US16875368
申请日:2020-05-15
Applicant: Samsung Electronics Co., Ltd.
Inventor: Heewon KIM , Seon Min RHEE , Jihye KIM , Ju Hwan SONG , Jaejoon HAN
Abstract: A user authentication method and a user authentication apparatus acquire an input image including a frontalized face of a user, calculate a confidence map including confidence values, for authenticating the user, corresponding to pixels with values maintained in a depth image of the frontalized face of the user among pixels included in the input image, extract a second feature vector from a second image generated based on the input image and the confidence map, acquire a first feature vector corresponding to an enrolled image, and perform authentication of the user based on a correlation between the first feature vector and the second feature vector.
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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:US20250166384A1
公开(公告)日:2025-05-22
申请号:US18939432
申请日:2024-11-06
Applicant: Samsung Electronics Co., Ltd.
Inventor: Junchen REN , Seungin PARK , Ying MIN , Zao YAO , Byung In YOO , Ju Hwan SONG , YunHao ZHANG , Feng ZHU
Abstract: A method of estimating a state includes: predicting current state prediction data of a target object by using previous state estimation data of a previous image frame of an image sequence in which the target object is represented, the previous image frame previous to a current image frame; acquiring current target detection data of the target object for the current image frame of the image sequence; and determining current state estimation data of the target object of the current image frame by updating the current state prediction data by using the current target detection data and by using a detection reliability of the current target detection data.
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公开(公告)号:US20250078286A1
公开(公告)日:2025-03-06
申请号:US18803352
申请日:2024-08-13
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor: Zao YAO , Ju Hwan SONG , Ying MIN , Byung In YOO , Changbeom PARK , YunHao ZHANG , Junchen REN , Yuanzhang YAO , Sanqi LI
Abstract: An apparatus and method for quantizing a transformer-based target tracking model are provided. The method includes obtaining a transformer-based target tracking model including a template branch, a search branch, a stitching module, and a first transformer module, generating an optimized target tracking model by removing the stitching module from the transformer-based target tracking model and dividing the first transformer module into a second transformer module and a third transformer module, and generating a quantization model corresponding to the optimized target tracking model by quantizing the divided second transformer module independently of quantizing the divided third transformer module.
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公开(公告)号:US20210166071A1
公开(公告)日:2021-06-03
申请号:US16913205
申请日:2020-06-26
Applicant: Samsung Electronics Co., Ltd.
Inventor: Seong-Jin PARK , Insoo KIM , Seungju HAN , Jiwon BAEK , Ju Hwan SONG , Jaejoon HAN
Abstract: A processor-implemented neural network method includes: determining, using a neural network, a feature vector based on a training image of a first class among a plurality of classes; determining, using the neural network, plural feature angles between the feature vector and class vectors of other classes among the plurality of classes; determining a margin based on a class angle between a first class vector of the first class and a second class vector of a second class, among the class vectors, and a feature angle between the feature vector and the first class vector; determining a loss value using a loss function including an angle with the margin applied to the feature angle and the plural feature angles; and training the neural network by updating, based on the loss value, either one or both of one or more parameters of the neural network and one or more of the class vectors.
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公开(公告)号:US20240221185A1
公开(公告)日:2024-07-04
申请号:US18352636
申请日:2023-07-14
Applicant: Samsung Electronics Co., Ltd.
Inventor: Ju Hwan SONG , Changbeom PARK , Byung In YOO , Dongwook LEE
CPC classification number: G06T7/248 , G06T3/4046 , H04N23/60 , G06T2207/20084
Abstract: A processor-implemented method with target object tracking includes: setting a search area for a target object included in an input image based on a position of a first target box in a template image; selecting a network path from a plurality of network paths of a neural network model according to a resizing ratio of a size of another image that is input to the neural network model to a size of the search area; and tracking the target object by estimating a position of a second target box corresponding to the target object in the input image according to the selected network path.
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公开(公告)号:US20240087358A1
公开(公告)日:2024-03-14
申请号:US18515798
申请日:2023-11-21
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor: Youngjun KWAK , Minsu KO , Youngsung KIM , Heewon KIM , Ju Hwan SONG , Byung In YOO , Seon Min RHEE , Yong-il LEE , Jiho CHOI , Seungju HAN
CPC classification number: G06V40/166 , G06F21/32 , G06T7/0012 , G06T7/73 , G06V10/143 , G06V40/161 , G06V40/168 , G06V40/40 , G06T2207/10028 , G06T2207/10048 , G06T2207/30201
Abstract: A processor-implemented method includes generating a preprocessed infrared (IR) image by performing first preprocessing based on an IR image including an object; generating a preprocessed depth image by performing second preprocessing based on a depth image including the object; and determining whether the object is a genuine object based on the preprocessed IR image and the preprocessed depth image
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公开(公告)号:US20230360410A1
公开(公告)日:2023-11-09
申请号:US18355020
申请日:2023-07-19
Applicant: Samsung Electronics Co., Ltd.
Inventor: Heewon KIM , Seon Min RHEE , Jihye KIM , Ju Hwan SONG , Jaejoon HAN
IPC: G06V20/64 , G06T7/50 , G06F21/32 , G06N3/08 , G06V40/16 , G06F18/22 , G06F18/214 , G06F18/2413 , G06V10/74 , G06V10/44 , G06V10/75
CPC classification number: G06V20/647 , G06T7/50 , G06F21/32 , G06N3/08 , G06V40/172 , G06V40/168 , G06F18/22 , G06F18/214 , G06F18/2413 , G06V10/761 , G06V10/454 , G06V40/165 , G06V10/751 , G06T2207/10028 , G06T2207/20081 , G06T2207/20084 , G06T2207/30201
Abstract: A user authentication method and a user authentication apparatus acquire an input image including a frontalized face of a user, calculate a confidence map including confidence values, for authenticating the user, corresponding to pixels with values maintained in a depth image of the frontalized face of the user among pixels included in the input image, extract a second feature vector from a second image generated based on the input image and the confidence map, acquire a first feature vector corresponding to an enrolled image, and perform authentication of the user based on a correlation between the first feature vector and the second feature vector.
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公开(公告)号:US20230009696A1
公开(公告)日:2023-01-12
申请号:US17948450
申请日:2022-09-20
Applicant: Samsung Electronics Co., Ltd.
Inventor: Heewon KIM , Seon Min RHEE , Jihye KIM , Ju Hwan SONG , Jaejoon HAN
Abstract: A user authentication method and a user authentication apparatus acquire an input image including a frontalized face of a user, calculate a confidence map including confidence values, for authenticating the user, corresponding to pixels with values maintained in a depth image of the frontalized face of the user among pixels included in the input image, extract a second feature vector from a second image generated based on the input image and the confidence map, acquire a first feature vector corresponding to an enrolled image, and perform authentication of the user based on a correlation between the first feature vector and the second feature vector.
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公开(公告)号:US20220309686A1
公开(公告)日:2022-09-29
申请号:US17404413
申请日:2021-08-17
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor: Ju Hwan SONG , Hyunjeong LEE , Changbeom PARK , Changyong SON , Byung In YOO
Abstract: A processor-implemented object tracking method includes: setting a suppressed region in a template image based on a shape of a target box of the template image; refining a template feature map of the template image by suppressing an influence of feature data corresponding to the suppressed region in the template feature map; and tracking an object by determining a bounding box corresponding to the target box in a search image based on the refined template feature map.
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