OBJECT DETECTION DEVICE

To provide an object detection device capable of improving identification accuracy of a detection object even when the detection object is a long way off.SOLUTION: Three-dimensional object candidate region extracting means 2 extracts a three-dimensional object candidate region indicating a region in...

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Hauptverfasser: HOTTA MIYAKO, USHIBA HIDEYUKI
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creator HOTTA MIYAKO
USHIBA HIDEYUKI
description To provide an object detection device capable of improving identification accuracy of a detection object even when the detection object is a long way off.SOLUTION: Three-dimensional object candidate region extracting means 2 extracts a three-dimensional object candidate region indicating a region in which the object exists from an image by grouping pixels by a disparity associated with the pixels or the corresponding distance. Detection object candidate region enlarging means 3 calculates an image size (height_k, width_k) indicating a size on a detection object image when a detection object (for example, a motorcycle) is supposed to exist in a distance Z from an actual size (Height_Obj, Width_Obj) of the detection object and the distance Z, and changes a size of the three-dimensional object candidate region to an image size or greater. Detection object identifying means 4 identifies whether an object in the three-dimensional object candidate region with a changed size is the detection object.SELECTED DRAWING: Figure 1 【課題】検知対象が遠方にある場合でも、検知対象の識別精度を向上することができる物体検出装置を提供する。【解決手段】立体物候補領域抽出手段2は、画素に関連付けられる視差若しくはそれに対応する距離によってグルーピングすることで、物体が存在する領域を示す立体物候補領域を画像から抽出する。検知対象候補領域拡大手段3は、検知対象の実サイズ(Height_Obj,Width_Obj)と距離Zから距離Zに検知対象(例えば、バイク)が存在すると仮定した場合の検知対象の画像上のサイズを示す画像サイズ(height_k,width_k)を算出し、立体物候補領域のサイズを画像サイズ以上に変更する。検知対象識別手段4は、サイズが変更された立体物候補領域内の物体が検知対象であるかを識別する。【選択図】図1
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Detection object candidate region enlarging means 3 calculates an image size (height_k, width_k) indicating a size on a detection object image when a detection object (for example, a motorcycle) is supposed to exist in a distance Z from an actual size (Height_Obj, Width_Obj) of the detection object and the distance Z, and changes a size of the three-dimensional object candidate region to an image size or greater. Detection object identifying means 4 identifies whether an object in the three-dimensional object candidate region with a changed size is the detection object.SELECTED DRAWING: Figure 1 【課題】検知対象が遠方にある場合でも、検知対象の識別精度を向上することができる物体検出装置を提供する。【解決手段】立体物候補領域抽出手段2は、画素に関連付けられる視差若しくはそれに対応する距離によってグルーピングすることで、物体が存在する領域を示す立体物候補領域を画像から抽出する。検知対象候補領域拡大手段3は、検知対象の実サイズ(Height_Obj,Width_Obj)と距離Zから距離Zに検知対象(例えば、バイク)が存在すると仮定した場合の検知対象の画像上のサイズを示す画像サイズ(height_k,width_k)を算出し、立体物候補領域のサイズを画像サイズ以上に変更する。検知対象識別手段4は、サイズが変更された立体物候補領域内の物体が検知対象であるかを識別する。【選択図】図1</description><language>eng ; jpn</language><subject>CALCULATING ; COMPUTING ; COUNTING ; IMAGE DATA PROCESSING OR GENERATION, IN GENERAL ; PHYSICS ; SIGNALLING ; TRAFFIC CONTROL SYSTEMS</subject><creationdate>2020</creationdate><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&amp;date=20201022&amp;DB=EPODOC&amp;CC=JP&amp;NR=2020173584A$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,780,885,25562,76317</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&amp;date=20201022&amp;DB=EPODOC&amp;CC=JP&amp;NR=2020173584A$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>HOTTA MIYAKO</creatorcontrib><creatorcontrib>USHIBA HIDEYUKI</creatorcontrib><title>OBJECT DETECTION DEVICE</title><description>To provide an object detection device capable of improving identification accuracy of a detection object even when the detection object is a long way off.SOLUTION: Three-dimensional object candidate region extracting means 2 extracts a three-dimensional object candidate region indicating a region in which the object exists from an image by grouping pixels by a disparity associated with the pixels or the corresponding distance. 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subjects CALCULATING
COMPUTING
COUNTING
IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
PHYSICS
SIGNALLING
TRAFFIC CONTROL SYSTEMS
title OBJECT DETECTION DEVICE
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