首页> 外国专利> METHOD AND DEVICE FOR DE-IDENTIFYING PERSONAL INFORMATION CONSECUTIVELY IN DEEP LEARNING-BASED VIDEO

METHOD AND DEVICE FOR DE-IDENTIFYING PERSONAL INFORMATION CONSECUTIVELY IN DEEP LEARNING-BASED VIDEO

机译:在基于深度学习的视频中连续去识别个人信息的方法和设备

摘要

The present invention relates to a method and device for de-identifying personal information consecutively in a deep learning-based video. A method for de-identifying personal information consecutively in a deep learning-based video by a device for de-identifying personal information consecutively in a deep learning-based video according to an embodiment of the present invention comprises the steps of: detecting a first detection area of a particular object and masking the first detection area; detecting a second detection area of the particular object and masking the second detection area; checking whether or not the first detection area and second detection area are correlated; if the first detection area and second detection area are correlated, checking a non-detection frame between a first detection area frame comprising the first detection area and a second detection area frame comprising the second detection area; and calculating an estimation area of the particular object from the non-detection frame, and masking the estimation area.
机译:本发明涉及一种用于在基于深度学习的视频中连续地去识别个人信息的方法和装置。根据本发明实施例的用于通过用于在基于深度学习的视频中连续地在基于深度学习的视频的基于深度学习的视频中除识别个人信息的方法包括以下步骤:检测第一检测特定对象的区域和掩蔽第一个检测区域;检测特定对象的第二检测区域并掩蔽第二检测区域;检查第一检测区域和第二检测区域是否相关;如果第一检测区域和第二检测区域是相关的,请检查包括第一检测区域的第一检测区域帧和包括第二检测区域的第二检测区域帧之间的非检测帧;从非检测帧计算特定对象的估计区域,并掩蔽估计区域。

著录项

  • 公开/公告号WO2021112273A1

    专利类型

  • 公开/公告日2021-06-10

    原文格式PDF

  • 申请/专利权人 NEOCONVERGENCE CO.LTD.;

    申请/专利号WO2019KR16894

  • 发明设计人 NAM YOUNG JIN;YANG YONGSEOK;

    申请日2019-12-03

  • 分类号H04N21/431;G06T7/11;G06T5/20;G06F21/62;G06K9/20;G06N20;

  • 国家 KR

  • 入库时间 2022-08-24 19:17:30

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