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System and method for recognizing behavior based on deep learning

机译:基于深度学习的行为识别行为的系统和方法

摘要

A deep learning-based behavior recognition system and method are provided. A deep learning-based behavior recognition system according to an embodiment of the present invention is a 2D camera that acquires an image of the user when it is within a certain distance from the user, and 2D extracting two-dimensional joint coordinates using deep learning based on the acquired image 3D joint coordinate extraction unit, 3D joint coordinate estimator that estimates 3D joint coordinates using deep learning based on the extracted 2D joint coordinates and a behavior recognition unit that recognizes a behavior and determines whether it is an emergency using deep learning based on the recognized behavior, and a tracking device that tracks the 2D camera so that it is located within a certain distance from the user.
机译:提供了基于深入的学习行为识别系统和方法。 根据本发明的实施例的基于深度学习的行为识别系统是当在距用户的一定距离内时获取用户的图像,并且使用基于深度学习的2D提取二维关节坐标的2D 在所获取的图像3D关节坐标提取单元中,基于提取的2D关节坐标的深度学习和识别行为的行为识别单元估计3D关节坐标估计的3D关节坐标估计器,并确定它是否是基于深度学习的紧急情况 识别的行为和跟踪2D摄像机的跟踪设备,使其位于与用户的一定距离内。

著录项

  • 公开/公告号KR102299424B1

    专利类型

  • 公开/公告日2021-09-07

    原文格式PDF

  • 申请/专利权人 한국생산기술연구원;

    申请/专利号KR20200012417

  • 发明设计人 안범모;이준우;

    申请日2020-02-03

  • 分类号G08B21/04;G06K9;G06T7/246;G08B21/02;G08B25/14;

  • 国家 KR

  • 入库时间 2022-08-24 20:53:10

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