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TARGET SUBJECT ANALYSIS APPARATUS, TARGET SUBJECT ANALYSIS METHOD, LEARNING APPARATUS, AND LEARNING METHOD

机译:目标对象分析设备,目标对象分析方法,学习设备和学习方法

摘要

A technique is provided that is able to increase recognition accuracy with respect to attributes of a target subject with a simple configuration. A target subject analysis apparatus according to an aspect of the present invention includes: a data acquisition unit configured to acquire image data that represents an image including a figure of a target subject, and range data that represents a value of a distance at each pixel constituting the image; a neural network computing unit configured to obtain an output value from a trained neural network for determining an attribute of the target subject, by performing computation processing with the neural network using the image data and the range data that are acquired as input to the neural network; and an attribute specifying unit configured to specify the attribute of the target subject based on the output value obtained from the neural network.
机译:提供一种能够以简单的配置增加关于目标对象的属性的识别精度的技术。根据本发明的一个方面的目标对象分析装置包括:数据获取单元,被配置为获取表示包括目标对象的图形的图像的图像数据,以及表示构成每个像素的距离的值的范围数据。图片;神经网络计算单元,其被配置为通过使用所获取的图像数据和范围数据对神经网络进行计算处理,从经过训练的神经网络获得用于确定目标对象的属性的输出值,从而确定目标对象的属性。 ;属性指定单元,其配置为基于从神经网络获得的输出值来指定目标被摄体的属性。

著录项

  • 公开/公告号WO2018163786A3

    专利类型

  • 公开/公告日2018-11-01

    原文格式PDF

  • 申请/专利权人 OMRON CORPORATION;

    申请/专利号WO2018JP05819

  • 发明设计人 ANDO TANICHI;

    申请日2018-02-20

  • 分类号G06K9;G06K9/46;

  • 国家 WO

  • 入库时间 2022-08-21 12:42:46

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