公开(公告)号：US20220067382A1

公开(公告)日：2022-03-03

申请号：US17411728

申请日：2021-08-25

Applicant: Electronics and Telecommunications Research Institute

Inventor： Jin Young MOON ,  Hyung Il KIM ,  Jong Youl PARK ,  Kang Min BAE ,  Ki Min YUN

IPC: G06K9/00

Abstract: Provided is an apparatus for online action detection, the apparatus including a feature extraction unit configured to extract a chunk-level feature of a video chunk sequence of a streaming video, a filtering unit configured to perform filtering on the chunk-level feature, and an action classification unit configured to classify an action class using the filtered chunk-level feature.

公开(公告)号：US20200311389A1

公开(公告)日：2020-10-01

申请号：US16834500

申请日：2020-03-30

Applicant: Electronics and Telecommunications Research Institute

Inventor： Hyung Il KIM ,  Yong Jin KWON ,  Jin Young MOON ,  Jong Youl PARK ,  Sung Chan OH ,  Ki Min YUN ,  Jeun Woo LEE

IPC: G06K9/00 ,  G06K9/32

Abstract: A domain adaptation-based object recognition apparatus includes a memory configured to store a domain adaptation-based object recognition program and a processor configured to execute the program. The processor learns a generative model for generating a feature or an image similar to a gallery image on the basis of domain adaptation in association with an input probe image and learns an object recognition classification model by using a learning database corresponding to the gallery image and the input probe image, thereby performing object recognition using the input probe image.

公开(公告)号：US20210142063A1

公开(公告)日：2021-05-13

申请号：US17088185

申请日：2020-11-03

Applicant: Electronics and Telecommunications Research Institute

Inventor： Jin Young MOON ,  Yong Jin KWON ,  Hyung Il KIM ,  Jong Youl PARK ,  Kang Min BAE ,  Ki Min YUN

IPC: G06K9/00 ,  G06K9/62 ,  G06T7/20

Abstract: An electronic device according to an embodiment disclosed herein may include a memory including at least one instruction and a processor. By executing the at least one instruction, the processor may check feature information corresponding to a video and including at least one of an appearance-related feature value and a motion-related feature value from the video, calculate at least one of a starting score related to a starting point of an action instance, an ending score related to an ending point of an action instance, and a relatedness score between action instances on the basis of the feature information corresponding to the video, the action instances being included in the video, and generate an action proposal included in the video on the basis of the at least one score.