公开(公告)号：US20240127587A1

公开(公告)日：2024-04-18

申请号：US18479499

申请日：2023-10-02

Applicant: ELECTRONICS AND TELECOMMUNICATIONS RESEARCH INSTITUTE

Inventor： Do-Hyung KIM ,  Ho-Beom JEON ,  Hyung-Min KIM ,  Jae-Hong KIM ,  Jeong-Dan CHOI

IPC: G06V10/82 ,  G06V40/20

CPC classification number: G06V10/82 ,  G06V40/23

Abstract: Disclosed herein is a method for integrated anomaly detection. The method includes detecting a thing object and a human object in input video using a first neural network, and tracking the human object, and detecting an anomalous situation based on an object detection result and a human object tracking result.

公开(公告)号：US20250065188A1

公开(公告)日：2025-02-27

申请号：US18429599

申请日：2024-02-01

Applicant: ELECTRONICS AND TELECOMMUNICATIONS RESEARCH INSTITUTE

Inventor： Do-Hyung KIM ,  Jae-Hong KIM ,  Young-Woo YOON ,  Ho-Beom JEON

IPC: A63B24/00 ,  A63B71/06 ,  G06V10/75 ,  G06V40/10 ,  G06V40/20

Abstract: Disclosed herein is an apparatus and method for counting repetitive movements based on Artificial Intelligence. The method may include generating standard movement information that includes a key pose extracted from a demonstration movement image stream based on human skeleton information, which is a set of pieces of positional information of human joints, and major joint information in the key pose and counting repetitive movements depending on whether a user movement matches the standard movement information based on human skeleton information of a user movement image stream.