公开(公告)号：US11182651B2

公开(公告)日：2021-11-23

申请号：US16702721

申请日：2019-12-04

Applicant: ELECTRONICS AND TELECOMMUNICATIONS RESEARCH INSTITUTE

Inventor： Seung Jae Lee ,  Jong Gook Ko ,  Keun Dong Lee ,  Su Woong Lee ,  Won Young Yoo

IPC: G06K9/62 ,  G06N3/04 ,  G06N3/08

Abstract: A fast object detection method and a fast object detection apparatus using an artificial neural network. The fast object detection method includes obtaining an input image; inputting the obtained input image into an object detection neural network using a plurality of preset bounding boxes; and detecting an object included in the input image by acquiring output data of the object detection neural network.

公开(公告)号：US11341183B2

公开(公告)日：2022-05-24

申请号：US16246707

申请日：2019-01-14

Applicant: ELECTRONICS AND TELECOMMUNICATIONS RESEARCH INSTITUTE

Inventor： Keun Dong Lee ,  Seung Jae Lee ,  Jong Gook Ko ,  Hyung Kwan Son ,  Weon Geun Oh ,  Da Un Jung

IPC: G06F16/532 ,  G06K9/00 ,  G06F16/51 ,  G06K9/62 ,  G06F16/583 ,  G06K9/46

Abstract: An apparatus and method for searching for a building on the basis of an image and a method of constructing a building search database (DB) for image-based building search. The method includes constructing a building search DB, receiving a query image from a user terminal, detecting a region to which a building belongs in the query image, extracting features of the region detected in the query image, and searching the building search DB for a building matching the extracted features. Therefore, building search performance can be improved.

公开(公告)号：US10546209B2

公开(公告)日：2020-01-28

申请号：US15835662

申请日：2017-12-08

Applicant: ELECTRONICS AND TELECOMMUNICATIONS RESEARCH INSTITUTE

Inventor： Seung Jae Lee ,  Hyung Kwan Son ,  Keun Dong Lee ,  Jong Gook Ko ,  Weon Geun Oh ,  Da Un Jung

IPC: G06K9/46 ,  G06K9/62 ,  G06N20/00 ,  G06K9/32

Abstract: A machine learning method for learning how to form bounding boxes, performed by a machine learning apparatus, includes extracting learning images including a target object among a plurality of learning images included in a learning database, generating additional learning images in which the target object is rotated from the learning images including the target object, and updating the learning database using the additional learning images.