US 11,741,617 B2
Method and apparatus with object tracking
Hyunjeong Lee, Seoul (KR); SeungWook Kim, Seoul (KR); Changbeom Park, Seoul (KR); Ju Hwan Song, Suwon-si (KR); and Byung In Yoo, Seoul (KR)
Assigned to Samsung Electronics Co., Ltd., Suwon-si (KR)
Filed by Samsung Electronics Co., Ltd., Suwon-si (KR)
Filed on Nov. 17, 2021, as Appl. No. 17/528,501.
Claims priority of application No. 10-2021-0067481 (KR), filed on May 26, 2021.
Prior Publication US 2022/0383514 A1, Dec. 1, 2022
Int. Cl. G06K 9/00 (2022.01); G06T 7/246 (2017.01); G06V 10/22 (2022.01); G06F 18/213 (2023.01)
CPC G06T 7/248 (2017.01) [G06F 18/213 (2023.01); G06V 10/22 (2022.01); G06T 2207/20084 (2013.01)] 25 Claims
OG exemplary drawing
 
1. A processor-implemented method with object tracking, comprising:
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.