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Apparatus for Performing Recognition of Activity Based on Deep Learning and Driving Method Thereof

机译:基于深度学习和驱动方法来执行活动识别的装置

摘要

The present invention relates to a deep learning-based behavior recognition apparatus and a method of driving the apparatus, and the deep learning-based behavior recognition apparatus according to an embodiment of the present invention is a storage unit for storing a deep learning model related to a characteristic of an arbitrary area. , and a control unit for recognizing and detecting the behavior of a human object by extracting a human object from a photographed image of an arbitrary area, tracing the skeleton of the extracted human object, and applying the tracking result to the stored deep learning model. can
机译:基于深度学习的行为识别装置和驱动装置的方法技术领域本发明涉及基于深度学习的行为识别装置和驱动装置的方法,以及根据本发明的实施例的基于深度学习的行为识别装置是用于存储与之相关的深学习模型的存储单元任意区域的特征。和控制单元通过从任意区域的拍摄图像中提取人体对象来识别和检测人体对象的行为,跟踪提取的人体对象的骨架,并将跟踪结果应用于存储的深度学习模型。能够

著录项

  • 公开/公告号KR102260120B1

    专利类型

  • 公开/公告日2021-06-03

    原文格式PDF

  • 申请/专利权人

    申请/专利号KR1020190139254

  • 发明设计人 고현준;

    申请日2019-11-04

  • 分类号G06K9;G06K9/46;G06N3/04;G06N3/08;G06T7/11;G08B21/18;

  • 国家 KR

  • 入库时间 2022-08-24 19:13:29

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