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METHOD AND SYSTEM FOR RECOGNIZING GENDER BASED ON IMAGE DEEP LEARNING

机译:基于图像深度学习的性别识别方法及系统

摘要

An image deep learning-based gender recognition method according to an embodiment is a method of a deep learning server including a deep learning neural network performing gender recognition of a person through image deep learning, obtaining a color image of the person ; Extracting a bounding box including an entire area of a person in the color image by object detection of the obtained color image; Segmenting a color image in the bounding box to obtain a black-and-white mask that specifies a pixel for the person as an effective pixel; And outputting gender recognition information as a label by inputting a color image and a black and white mask in the bounding box into a gender-recognized convolutional neural network.
机译:根据实施例的基于图像深度学习的性别识别方法是一种深度学习服务器的方法,其包括:深度学习神经网络,其通过图像深度学习执行人的性别识别,获得人的彩色图像。通过对所获得的彩色图像进行物体检测,提取包括彩色图像中人的整个区域的边界框;在包围盒中对彩色图像进行分割,以获得将人的像素指定为有效像素的黑白掩模;通过将边界框中的彩色图像和黑白蒙版输入性别识别的卷积神经网络,将性别识别信息作为标签输出。

著录项

  • 公开/公告号KR20200071850A

    专利类型

  • 公开/公告日2020-06-22

    原文格式PDF

  • 申请/专利权人 엔에이치엔 주식회사;

    申请/专利号KR20180154560

  • 发明设计人 박지혁;이록규;

    申请日2018-12-04

  • 分类号G06K9;G06K9/46;G06N3/08;G06Q30/02;G06Q50/10;

  • 国家 KR

  • 入库时间 2022-08-21 11:06:42

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