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Attribute recognition device, attribute recognition method and machine learning device

机译:属性识别设备,属性识别方法和机器学习设备

摘要

To classify a subject to be recognized into a plurality of attribute classes with high accuracy.SOLUTION: A classification device for classifying a subject into a plurality of attribute classes related to predetermined attributes using a captured image captured by a camera installed above the subject to be recognized, includes: a storage unit configured to store divided area information representing a plurality of divided areas generated by dividing the imaging range of the camera according to a distance from a position immediately below the camera; an image processing unit configured to extract a subject area image that is an image of an area including the subject from the captured image; and a classifier configured to output each probability that the subject belongs to the plurality of attribute classes for each of the plurality of divided areas using the subject area image.SELECTED DRAWING: Figure 1
机译:为了将要识别的主题分类为具有高精度的多个属性类别。─solution:用于将受试者分类为与预定属性相关的多个属性类别的分类设备,使用由上方的摄像机捕获的捕获的图像作为预定的图像。 识别,包括:存储单元,被配置为存储代表通过根据远程在相机下方的位置划分相机的成像范围而产生的多个划分区域的分割区域信息; 一种图像处理单元,被配置为提取作为来自捕获图像的对象的区域的图像的对象区域图像; 并且,分类器被配置为使用主题区域图像输出对象所属对象属于多个划分区域中的每个属性类的概率。选择的绘图:图1

著录项

  • 公开/公告号JP6947005B2

    专利类型

  • 公开/公告日2021-10-13

    原文格式PDF

  • 申请/专利权人 コニカミノルタ株式会社;

    申请/专利号JP20170243946

  • 发明设计人 仲尾 望;

    申请日2017-12-20

  • 分类号G06T7;G06N3/08;

  • 国家 JP

  • 入库时间 2022-08-24 21:38:34

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