公开(公告)号：US20250095336A1

公开(公告)日：2025-03-20

申请号：US18888977

申请日：2024-09-18

Applicant: POSTECH RESEARCH AND BUSINESS DEVELOPMENT FOUNDATION

Inventor： Dai Jin KIM ,  Tae Hun KIM

IPC: G06V10/77 ,  G06T3/40 ,  G06V10/82

Abstract: An object detection device is provided. The object detection device may include an input device for receiving an input image, an object detection model for generating a plurality of input images of different resolutions using the input image, a processor for acquiring a plurality of pyramid images of different resolutions using the plurality of input images, an important object image representing a preset important object in the input image based on the plurality of pyramid images, and an output device for outputting the important object image. A method is also disclosed.

公开(公告)号：US20210183074A1

公开(公告)日：2021-06-17

申请号：US17037399

申请日：2020-09-29

Applicant: POSTECH Research and Business Development Foundation

Inventor： Dai Jin KIM ,  Hye Min LEE

IPC: G06T7/246 ,  G06N3/08 ,  G06N3/04 ,  G06K9/62

Abstract: Disclosed is a method of tracking multiple objects included in an image using a multi-object tracking apparatus including an integrated similarity neural network, the method including setting a tracking area in an input image, extracting at least one object candidate for a target object from the tracking area; extracting reference features for the target object, the object candidate, and the tracking area, selecting two of the target object, the object candidate, and the tracking area to evaluate similarity based on the reference features; allocating the object candidate to the target object on the basis of the evaluated similarity; and tracking the target object on the basis of a location of the allocated object candidate.

公开(公告)号：US20230206589A1

公开(公告)日：2023-06-29

申请号：US17739018

申请日：2022-05-06

Applicant: POSTECH Research and Business Development Foundation

Inventor： Dai Jin KIM ,  Sang Hun PARK

IPC: G06V10/44 ,  G06T7/73 ,  G06V10/82 ,  G06V10/774 ,  G06V10/776

CPC classification number: G06V10/44 ,  G06T7/73 ,  G06V10/82 ,  G06V10/774 ,  G06V10/776 ,  G06T2207/20081 ,  G06T2207/20084

Abstract: A method of detecting an object using an object boundary localization uncertainty aware network and an object boundary localization uncertainty attention module may comprise: calculating a convolutional feature from a single image through a convolutional neural network of an existing object detection neural network and then learning a classification and location of an object to detect the object; inputting an obtained localization value and a ground truth value of the object to the object boundary localization uncertainty aware network to learn an object boundary localization uncertainty; calculating, by the object boundary localization uncertainty attention module, an object boundary feature using the obtained object boundary localization uncertainty and training an object detection correction neural network using the object boundary feature; and aggregating an existing object detection result and a correction result to calculate a final object detection result.

公开(公告)号：US20210247531A1

公开(公告)日：2021-08-12

申请号：US17168066

申请日：2021-02-04

Applicant: POSTECH Research and Business Development Foundation

Inventor： Dai Jin KIM ,  Jong Hoon PARK

IPC: G01V1/00 ,  G06N3/04 ,  G06F17/18

Abstract: An early earthquake detection method may comprise acquiring a frame image from a camera; acquiring a vibration signal from the frame image; removing a noise signal due to vibration of the camera from the vibration signal; acquiring a motion signal obtained by magnifying subtle motions from the noise signal-removed vibration signal; extracting vibration characteristics from the motion signal; estimating an occurrence of an earthquake by extracting a peak signal from the vibration characteristics; and determining whether an earthquake occurs by receiving earthquake estimation information from at least one other camera located within a certain range.

公开(公告)号：US20230215162A1

公开(公告)日：2023-07-06

申请号：US17741407

申请日：2022-05-10

Applicant: POSTECH Research and Business Development Foundation

Inventor： Dai Jin KIM ,  Eun Yeong JEON

IPC: G06V10/86 ,  G06V10/82 ,  G06T9/00 ,  G06V10/40 ,  G06V10/774

CPC classification number: G06V10/86 ,  G06V10/82 ,  G06T9/002 ,  G06V10/40 ,  G06V10/7747

Abstract: An apparatus for text-to-image generation which is a self-supervised based on one-stage generative adversarial network and uses a discriminator network that extracts an image feature may comprise: a text encoder that extracts a sentence vector from input text; a discriminator that determines whether or not an image matches the text from the sentence vector and the image input from a generator; and a decoder that is connected to an encoder inside the discriminator, wherein the decoder and the encoder form an autoencoder structure inside the discriminator.

公开(公告)号：US20220164569A1

公开(公告)日：2022-05-26

申请号：US17512544

申请日：2021-10-27

Applicant: POSTECH Research and Business Development Foundation

Inventor： Dai Jin KIM ,  Myeong Jun KIM

IPC: G06K9/00 ,  G06K9/62

Abstract: The present disclosure provides an action recognition method including: acquiring video features for input videos; generating a bounding box surrounding a person who may be a target for an action recognition; pooling the video features based on bounding box information; extracting at least one spatial feature map from pooled video features; extracting at least one temporal feature map from pooled video features; concatenating the at least one spatial feature map and the at least one temporal feature map to generate a concatenated feature map; and performing a human action recognition based on the concatenated feature map.