US 12,437,552 B2
Method and apparatus for detecting an object based on identification information of the object in continuous images
Won Woo Lee, Incheon (KR); Jin Woo Yoo, Gyeonggi-do (KR); Yoon Suk Choi, Gyeonggi-do (KR); Jin Gwan Kim, Jeollanam-do (KR); Dong Sun Lim, Gyeonggi-do (KR); and Hoo Kyung Lee, Seoul (KR)
Assigned to KOOKMIN UNIVERSITY INDUSTRY ACADEMY COOPERATION FOUNDATION, Seoul (KR)
Filed by KOOKMIN UNIVERSITY INDUSTRY ACADEMY COOPERATION FOUNDATION, Seoul (KR)
Filed on Mar. 14, 2022, as Appl. No. 17/694,551.
Claims priority of application No. 10-2021-0094338 (KR), filed on Jul. 19, 2021; application No. 10-2021-0120463 (KR), filed on Sep. 9, 2021; application No. 10-2021-0139884 (KR), filed on Oct. 20, 2021; and application No. 10-2021-0170096 (KR), filed on Dec. 1, 2021.
Prior Publication US 2023/0025770 A1, Jan. 26, 2023
Int. Cl. G06V 20/58 (2022.01); G06V 10/25 (2022.01); G06V 10/764 (2022.01)
CPC G06V 20/58 (2022.01) [G06V 10/25 (2022.01); G06V 10/764 (2022.01); G06V 2201/07 (2022.01)] 20 Claims
OG exemplary drawing
 
1. An method for object detection with respect to continuous images, at least a portion of each step of which is performed by a processor, the method comprising:
acquiring, at the processor, identification information of an object detected from each of N (N being a preset integer of 3 or more) images from an output of a classification layer of an object detection deep learning network; and
correcting, by the processor, the identification information of at least one of the object detected from at least one image among the N images based on the identification information of the object detected from each of at least two images among the N images, wherein correcting the identification information of the at least one object detected from the at least one image among the N images includes adding a newly detected object and associated identification to a result of the at least one image among the N images responsive to a determination that the newly detected object being absent from the result of the at least one image.