公开(公告)号：US20230186586A1

公开(公告)日：2023-06-15

申请号：US18078311

申请日：2022-12-09

Applicant: Samsung Electronics Co., Ltd.

Inventor： Byung In YOO ,  SeungWook KIM

IPC: G06V10/20 ,  G06N3/08

CPC classification number: G06V10/20 ,  G06N3/08 ,  G06V10/82

Abstract: An electronic device generates a feature map from an input image to perform object detection, classifies one or more objects included in the input image and determines one or more object regions including the one or more objects based on the feature map, classifies an ROI included in at least a portion of the objects and determines the ROI included in the input image based on the feature map, displays on the input image an indicator identifying a first object region of a first object where the ROI is determined and a feature point of a first ROI of the first object, and displays on the input image an indicator identifying a second object region of a second object where the ROI is not determined and a feature point of the second object region, to perform post-processing differently according to whether an ROI is determined in an object.

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：US20220138493A1

公开(公告)日：2022-05-05

申请号：US17246803

申请日：2021-05-03

Applicant: Samsung Electronics Co., Ltd.

Inventor： Seohyung LEE ,  Dongwook LEE ,  Changyong SON ,  SeungWook KIM ,  Byung In YOO

IPC: G06K9/62 ,  G06K9/32 ,  G06T7/73

Abstract: Disclosed is a method and apparatus for adaptive tracking of a target object. The method includes method of tracking an object, the method including estimating a dynamic characteristic of an object in an input image based on frames of the input image, determining a size of a crop region for a current frame of the input image based on the dynamic characteristic of the object, generating a cropped image by cropping the current frame based on the size of the crop region, and generating a result of tracking the object for the current frame using the cropped image.