公开(公告)号：EP4276759A1

公开(公告)日：2023-11-15

申请号：EP23150758.3

申请日：2023-01-09

Applicant: Samsung Electronics Co., Ltd.

Inventor： LEE, Dongwook ,  LEE, Seohyung ,  PARK, Changbeom ,  YOO, Byung In ,  LEE, Hyunjeong

IPC: G06T7/246

Abstract: A processor-implemented method for object tracking includes: performing, using a first template, forward object tracking on first image frames in a first sequence group; determining a template candidate of a second template for second image frames in a second sequence group; performing backward object tracking on the first image frames using the template candidate; determining a confidence of the template candidate using a result of comparing a first tracking result determined by the forward object tracking performed on the first image frames and a second tracking result determined by the backward object tracking performed on the first image frames; determining the second template based on the confidence of the template candidate; and performing forward object tracking on the second image frames using the second template.

公开(公告)号：EP3839832A1

公开(公告)日：2021-06-23

申请号：EP20193180.5

申请日：2020-08-27

Applicant: Samsung Electronics Co., Ltd.

Inventor： SON, Jinwoo ,  SON, Changyong ,  YOO, Jaehyoung ,  LEE, Seohyung ,  JUNG, Sangil ,  CHOI, Changin

IPC: G06N3/04 ,  G06N3/08

Abstract: A processor-implemented neural network method includes: generating a first output line of an output feature map by performing a convolution operation between a first input line group of an input feature map and weight kernels; generating a first output of an operation block including the convolution operation based on the first output line; and storing the first output in a memory in which the input feature map is stored by overwriting the first output to a memory space of the memory.

公开(公告)号：EP4202832A1

公开(公告)日：2023-06-28

申请号：EP22189325.8

申请日：2022-08-08

Applicant: Samsung Electronics Co., Ltd.

Inventor： LEE, Dongwook ,  LEE, Seohyung ,  PARK, Changbeom ,  YOO, Byung In

IPC: G06T7/246

Abstract: A method and apparatus for object tracking are provided, where the object tracking method includes determining box information of candidate boxes in a current image frame and similarity scores of the candidate boxes based on including a search region of the current image frame with a template image corresponding to a target object, adjusting the similarity scores of the candidate boxes using a distractor map including distractor information of a previous image frame, determining a target box corresponding to the target object and a distractor box corresponding to a distractor of the target object from the candidate boxes based on the adjusted similarity scores, and updating the distractor map based on distractor information of the current image frame according to the distractor box.