OBJECT ANALYZING APPARATUS, OBJECT ANALYZING METHOD, LEARNING APPARATUS, AND LEARNING METHOD

PROBLEM TO BE SOLVED: To provide a technique capable of enhancing the accuracy in recognizing attributes of an object with a simple configuration.SOLUTION: An object analyzing apparatus according to an aspect of the present invention includes: a data acquisition unit configured to acquire image data...

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Bibliographic Details
Main Author ANDO TANICHI
Format Patent
LanguageEnglish
Japanese
Published 20.09.2018
Subjects
CALCULATING
COMPUTING
COUNTING
IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
PHYSICS
SIGNALLING
TRAFFIC CONTROL SYSTEMS
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Summary:PROBLEM TO BE SOLVED: To provide a technique capable of enhancing the accuracy in recognizing attributes of an object with a simple configuration.SOLUTION: An object analyzing apparatus according to an aspect of the present invention includes: a data acquisition unit configured to acquire image data indicating an image including an image of an object and distance data indicating a distance value of each pixel constituting the image; a neural network calculation unit configured to obtain an output value from a neural network by performing arithmetic processing on the neural network using the acquired image data and the distance data as learned neural network inputs for discriminating attributes of the object; and an attribute specification unit configured to specify the attributes of the object on the basis of the output value obtained from the neural network.SELECTED DRAWING: Figure 4 【課題】対象物の属性に対する認識精度を簡易な構成で高めることが可能な技術を提供する。【解決手段】本発明の一側面に係る対象物解析装置は、対象物の像を含む画像を示す画像データ、及び前記画像を構成する各画素の距離の値を示す距離データを取得するデータ取得部と、前記対象物の属性を判別するための学習済みのニューラルネットワークの入力として前記取得した画像データ及び前記距離データを用いて、当該ニューラルネットワークの演算処理を行うことにより、当該ニューラルネットワークから出力値を得るニューラルネットワーク演算部と、前記ニューラルネットワークから得られた前記出力値に基づいて、前記対象物の属性を特定する属性特定部と、を備える。【選択図】図４
Bibliography:Application Number: JP20170042661