JP5941514B2 - スペクトル的および空間的物体モデルから識別する方法 - Google Patents
スペクトル的および空間的物体モデルから識別する方法 Download PDFInfo
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- JP5941514B2 JP5941514B2 JP2014207651A JP2014207651A JP5941514B2 JP 5941514 B2 JP5941514 B2 JP 5941514B2 JP 2014207651 A JP2014207651 A JP 2014207651A JP 2014207651 A JP2014207651 A JP 2014207651A JP 5941514 B2 JP5941514 B2 JP 5941514B2
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Classifications
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/10—Terrestrial scenes
- G06V20/13—Satellite images
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01J—MEASUREMENT OF INTENSITY, VELOCITY, SPECTRAL CONTENT, POLARISATION, PHASE OR PULSE CHARACTERISTICS OF INFRARED, VISIBLE OR ULTRAVIOLET LIGHT; COLORIMETRY; RADIATION PYROMETRY
- G01J3/00—Spectrometry; Spectrophotometry; Monochromators; Measuring colours
- G01J3/02—Details
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01J—MEASUREMENT OF INTENSITY, VELOCITY, SPECTRAL CONTENT, POLARISATION, PHASE OR PULSE CHARACTERISTICS OF INFRARED, VISIBLE OR ULTRAVIOLET LIGHT; COLORIMETRY; RADIATION PYROMETRY
- G01J3/00—Spectrometry; Spectrophotometry; Monochromators; Measuring colours
- G01J3/28—Investigating the spectrum
- G01J3/42—Absorption spectrometry; Double beam spectrometry; Flicker spectrometry; Reflection spectrometry
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/40—Extraction of image or video features
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- G06V20/17—Terrestrial scenes taken from planes or by drones
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- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/50—Context or environment of the image
- G06V20/52—Surveillance or monitoring of activities, e.g. for recognising suspicious objects
- G06V20/54—Surveillance or monitoring of activities, e.g. for recognising suspicious objects of traffic, e.g. cars on the road, trains or boats
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
- H04N23/10—Cameras or camera modules comprising electronic image sensors; Control thereof for generating image signals from different wavelengths
- H04N23/11—Cameras or camera modules comprising electronic image sensors; Control thereof for generating image signals from different wavelengths for generating image signals from visible and infrared light wavelengths
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01J—MEASUREMENT OF INTENSITY, VELOCITY, SPECTRAL CONTENT, POLARISATION, PHASE OR PULSE CHARACTERISTICS OF INFRARED, VISIBLE OR ULTRAVIOLET LIGHT; COLORIMETRY; RADIATION PYROMETRY
- G01J3/00—Spectrometry; Spectrophotometry; Monochromators; Measuring colours
- G01J3/28—Investigating the spectrum
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01J—MEASUREMENT OF INTENSITY, VELOCITY, SPECTRAL CONTENT, POLARISATION, PHASE OR PULSE CHARACTERISTICS OF INFRARED, VISIBLE OR ULTRAVIOLET LIGHT; COLORIMETRY; RADIATION PYROMETRY
- G01J3/00—Spectrometry; Spectrophotometry; Monochromators; Measuring colours
- G01J3/28—Investigating the spectrum
- G01J3/40—Measuring the intensity of spectral lines by determining density of a photograph of the spectrum; Spectrography
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
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- G06T2207/00—Indexing scheme for image analysis or image enhancement
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- G06T2207/10036—Multispectral image; Hyperspectral image
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Description
14 (ハイパースペクトル)撮像装置
16 プロセッサ
18−24 撮像領域の形跡
26 線
28 円弧
30 対象物体
112 静止プラットフォーム
116−120 撮像領域の形跡
122 円弧
200 方法の開始
201 ハイパースペクトル撮像装置
202 一連のハイパースペクトル画像の取得
203 一連のハイパースペクトル画像
204 相対的な動きの判断
205 相対的な動きの1パラメータ
206 撮像された物体の向きを判断
207 物体の向き
208 物体の空間部分を識別
209 空間部分
210 物体へのスペクトル的特徴の割り当て
211 スペクトル的特徴
212 物体の多次元スペクトル反射率プロファイルの生成
213 多次元スペクトル反射率プロファイル
214 方法の終了
300、302、304 ある方向での車両の撮像側
310、312、314、316 ある方向での車両の撮像側の空間部分
318、320、322、324 ある方向での車両の撮像側の空間部分
326、328、330、332 ある方向での車両の撮像側の空間部分
410 物体の一連の画像の取得
412 可視画像
414 赤外画像
416 紫外画像
418 ハイパースペクトル画像
420 物体の主要特性の観測
422〜440 特性
442 主要特性の関連付け
444 一意の識別子の割り当て
Claims (8)
- 第1の視点を有する第1の撮像装置から、スペクトル像データと空間像データを含む第1の一組の画像を取得するステップと、
第2の視点を有する第2の撮像装置から、スペクトル像データと空間像データを含む第2の一組の画像を取得するステップと、
前記空間像データに少なくとも部分的に基づいて、物体の前記第1の視点に基づく第1の一組の空間部分と、物体の前記第2の視点に基づく第2の一組の空間部分とを識別するステップと、
前記スペクトル像データに少なくとも部分的に基づいて、前記第1の一組の空間部分と前記第2の一組の空間部分に含まれる空間部分と、スペクトル的特徴とを関連付けするステップと、
前記第1の一組の空間部分および前記第2の一組の空間部分と関連するスペクトル的特徴とを含む前記物体のプロファイルを生成するステップと、
を含む、撮像された物体を参照する方法。 - 前記識別するステップは、前記物体と前記第1の撮像装置との間の相対的な動きのパラメータを判定するステップを含む、請求項1に記載の方法。
- 前記識別するステップは、前記第1の一組の画像のサブセットにおける前記物体の向きを判定するステップを含む、請求項1または2に記載の方法。
- 前記生成するステップは、多次元スペクトル反射率プロファイルを生成するステップを含む、請求項1から3のいずれかに記載の方法。
- 前記第1の一組の画像を取得するステップは、ハイパースペクトルビデオを取得するステップを含む、請求項1から4のいずれかに記載の方法。
- 前記第1の一組の画像を取得するステップは、マルチスペクトルもしくはハイパースペクトルデータキューブを取得するステップを含む、請求項1から4のいずれかに記載の方法。
- 前記プロファイルに少なくとも部分的に基づいて、前記物体を分類するステップをさらに含む、請求項1から6のいずれかに記載の方法。
- 前記生成するステップは、前記物体の、一組の空間的次元および一組のスペクトルテクスチャのうちの少なくとも1つと、前記プロファイルとを関連付けするステップを含む、請求項1から7のいずれかに記載の方法。
Applications Claiming Priority (2)
Application Number | Priority Date | Filing Date | Title |
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US14/054,742 | 2013-10-15 | ||
US14/054,742 US9256786B2 (en) | 2013-10-15 | 2013-10-15 | Method of identification from a spatial and spectral object model |
Publications (2)
Publication Number | Publication Date |
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JP2015092339A JP2015092339A (ja) | 2015-05-14 |
JP5941514B2 true JP5941514B2 (ja) | 2016-06-29 |
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JP2014207651A Expired - Fee Related JP5941514B2 (ja) | 2013-10-15 | 2014-10-09 | スペクトル的および空間的物体モデルから識別する方法 |
Country Status (7)
Country | Link |
---|---|
US (1) | US9256786B2 (ja) |
JP (1) | JP5941514B2 (ja) |
CN (1) | CN104574356B (ja) |
BR (1) | BR102014025597A2 (ja) |
CA (1) | CA2867254C (ja) |
FR (1) | FR3011960B1 (ja) |
GB (1) | GB2520819B (ja) |
Families Citing this family (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
EP3361235A1 (en) * | 2017-02-10 | 2018-08-15 | VoxelGrid GmbH | Device and method for analysing objects |
WO2018197585A1 (en) * | 2017-04-26 | 2018-11-01 | Skansense S.L.U. | Identifying targets within images |
CN112297435A (zh) * | 2019-07-26 | 2021-02-02 | 哈米尔顿森德斯特兰德公司 | 空间差异测量 |
JP2023542372A (ja) * | 2020-09-23 | 2023-10-06 | ユーヴイアイ リミテッド | 車両画像分析 |
WO2023100660A1 (ja) * | 2021-12-03 | 2023-06-08 | パナソニックIpマネジメント株式会社 | 撮像システムおよび撮像方法 |
Family Cites Families (15)
Publication number | Priority date | Publication date | Assignee | Title |
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US6075891A (en) | 1998-07-06 | 2000-06-13 | General Dynamics Government Systems Corporation | Non-literal pattern recognition method and system for hyperspectral imagery exploitation |
US6296189B1 (en) | 1998-08-26 | 2001-10-02 | Spectra Science Corporation. | Methods and apparatus employing multi-spectral imaging for the remote identification and sorting of objects |
US6353675B1 (en) | 1999-01-19 | 2002-03-05 | Xerox Corporation | Methods and apparatus for identifying marking process and modifying image data based on image spatial characteristics |
US8224078B2 (en) * | 2000-11-06 | 2012-07-17 | Nant Holdings Ip, Llc | Image capture and identification system and process |
EP2193435A4 (en) * | 2007-04-13 | 2012-07-11 | Avisere Inc | ARTIFICIAL VISION SYSTEM FOR ENTERPRISE MANAGEMENT |
US8126213B2 (en) * | 2007-09-27 | 2012-02-28 | The United States Of America As Represented By The Secretary Of Agriculture | Method and system for wholesomeness inspection of freshly slaughtered chickens on a processing line |
US9176006B2 (en) * | 2008-01-15 | 2015-11-03 | Mobileye Vision Technologies Ltd. | Detection and classification of light sources using a diffraction grating |
US8295548B2 (en) | 2009-06-22 | 2012-10-23 | The Johns Hopkins University | Systems and methods for remote tagging and tracking of objects using hyperspectral video sensors |
US20110052019A1 (en) * | 2009-09-03 | 2011-03-03 | Green Vision Systems Ltd. | Analyzing Objects Via Hyper-Spectral Imaging and Analysis |
IL204089A (en) * | 2010-02-21 | 2014-06-30 | Elbit Systems Ltd | A method and system for detection and tracking based on frequency multiplicity and multiplicity |
EP2593771B1 (en) * | 2010-07-16 | 2019-09-04 | Luminex Corporation | Methods, storage mediums, and systems for analyzing particle quantity and distribution within an imaging region of an assay analysis system and for evaluating the performance of a focusing routing performed on an assay analysis system |
JP5560157B2 (ja) | 2010-10-19 | 2014-07-23 | 株式会社日立製作所 | スペクトル情報抽出装置 |
US9122929B2 (en) | 2012-08-17 | 2015-09-01 | Ge Aviation Systems, Llc | Method of identifying a tracked object for use in processing hyperspectral data |
US20140313325A1 (en) | 2013-04-18 | 2014-10-23 | Ge Aviation Systems Llc | Method of generating a spatial and spectral object model |
US9430846B2 (en) | 2013-04-19 | 2016-08-30 | Ge Aviation Systems Llc | Method of tracking objects using hyperspectral imagery |
-
2013
- 2013-10-15 US US14/054,742 patent/US9256786B2/en not_active Expired - Fee Related
-
2014
- 2014-10-08 GB GB1417796.8A patent/GB2520819B/en not_active Expired - Fee Related
- 2014-10-09 CA CA2867254A patent/CA2867254C/en not_active Expired - Fee Related
- 2014-10-09 JP JP2014207651A patent/JP5941514B2/ja not_active Expired - Fee Related
- 2014-10-09 FR FR1459672A patent/FR3011960B1/fr not_active Expired - Fee Related
- 2014-10-14 BR BR102014025597A patent/BR102014025597A2/pt not_active Application Discontinuation
- 2014-10-15 CN CN201410543723.6A patent/CN104574356B/zh not_active Expired - Fee Related
Also Published As
Publication number | Publication date |
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FR3011960B1 (fr) | 2017-12-29 |
US9256786B2 (en) | 2016-02-09 |
CA2867254C (en) | 2017-06-13 |
GB2520819B (en) | 2018-01-10 |
JP2015092339A (ja) | 2015-05-14 |
GB201417796D0 (en) | 2014-11-19 |
CN104574356B (zh) | 2018-02-06 |
CN104574356A (zh) | 2015-04-29 |
GB2520819A (en) | 2015-06-03 |
CA2867254A1 (en) | 2015-04-15 |
FR3011960A1 (fr) | 2015-04-17 |
BR102014025597A2 (pt) | 2016-05-24 |
US20150103341A1 (en) | 2015-04-16 |
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