JPWO2020240672A1 - - Google Patents

Info

Publication number
JPWO2020240672A1
JPWO2020240672A1 JP2021521602A JP2021521602A JPWO2020240672A1 JP WO2020240672 A1 JPWO2020240672 A1 JP WO2020240672A1 JP 2021521602 A JP2021521602 A JP 2021521602A JP 2021521602 A JP2021521602 A JP 2021521602A JP WO2020240672 A1 JPWO2020240672 A1 JP WO2020240672A1
Authority
JP
Japan
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Granted
Application number
JP2021521602A
Other versions
JP7176626B2 (ja
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed filed Critical
Publication of JPWO2020240672A1 publication Critical patent/JPWO2020240672A1/ja
Application granted granted Critical
Publication of JP7176626B2 publication Critical patent/JP7176626B2/ja
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/20—Analysis of motion
    • G06T7/246—Analysis of motion using feature-based methods, e.g. the tracking of corners or segments
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/70—Information retrieval; Database structures therefor; File system structures therefor of video data
    • G06F16/78—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually
    • G06F16/783—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually using metadata automatically derived from the content
    • G06F16/7837—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually using metadata automatically derived from the content using objects detected or recognised in the video content
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/20—Image preprocessing
    • G06V10/25—Determination of region of interest [ROI] or a volume of interest [VOI]
    • 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
    • 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
    • G06V10/44—Local feature extraction by analysis of parts of the pattern, e.g. by detecting edges, contours, loops, corners, strokes or intersections; Connectivity analysis, e.g. of connected components
    • G06V10/443—Local feature extraction by analysis of parts of the pattern, e.g. by detecting edges, contours, loops, corners, strokes or intersections; Connectivity analysis, e.g. of connected components by matching or filtering
    • G06V10/449—Biologically inspired filters, e.g. difference of Gaussians [DoG] or Gabor filters
    • G06V10/451—Biologically inspired filters, e.g. difference of Gaussians [DoG] or Gabor filters with interaction between the filter responses, e.g. cortical complex cells
    • G06V10/454—Integrating the filters into a hierarchical structure, e.g. convolutional neural networks [CNN]
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/70—Arrangements for image or video recognition or understanding using pattern recognition or machine learning
    • G06V10/82—Arrangements for image or video recognition or understanding using pattern recognition or machine learning using neural networks
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00—Scenes; Scene-specific elements
    • G06V20/50—Context or environment of the image
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/20—Special algorithmic details
    • G06T2207/20081—Training; Learning

Landscapes

  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Multimedia (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Evolutionary Computation (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Health & Medical Sciences (AREA)
  • Artificial Intelligence (AREA)
  • Databases & Information Systems (AREA)
  • General Health & Medical Sciences (AREA)
  • Computing Systems (AREA)
  • Software Systems (AREA)
  • Medical Informatics (AREA)
  • Library & Information Science (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Biodiversity & Conservation Biology (AREA)
  • Biomedical Technology (AREA)
  • Molecular Biology (AREA)
  • Data Mining & Analysis (AREA)
  • General Engineering & Computer Science (AREA)
  • Image Analysis (AREA)
JP2021521602A 2019-05-27 2019-05-27 移動状況学習装置、移動状況認識装置、モデル学習方法、移動状況認識方法、及びプログラム Active JP7176626B2 (ja)

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
PCT/JP2019/020952 WO2020240672A1 (ja) 2019-05-27 2019-05-27 移動状況学習装置、移動状況認識装置、モデル学習方法、移動状況認識方法、及びプログラム

Publications (2)

Publication Number Publication Date
JPWO2020240672A1 true JPWO2020240672A1 (ja) 2020-12-03
JP7176626B2 JP7176626B2 (ja) 2022-11-22

Family

ID=73552781

Family Applications (1)

Application Number Title Priority Date Filing Date
JP2021521602A Active JP7176626B2 (ja) 2019-05-27 2019-05-27 移動状況学習装置、移動状況認識装置、モデル学習方法、移動状況認識方法、及びプログラム

Country Status (3)

Country Link
US (1) US20220245829A1 (ja)
JP (1) JP7176626B2 (ja)
WO (1) WO2020240672A1 (ja)

Families Citing this family (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2021152836A (ja) * 2020-03-25 2021-09-30 日本電気株式会社 画像処理装置、画像処理方法、プログラム

Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2011180873A (ja) * 2010-03-02 2011-09-15 Panasonic Corp 運転支援装置、及び運転支援方法
US20170371329A1 (en) * 2014-12-19 2017-12-28 United Technologies Corporation Multi-modal sensor data fusion for perception systems

Family Cites Families (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US11249544B2 (en) * 2016-11-21 2022-02-15 TeleLingo Methods and systems for using artificial intelligence to evaluate, correct, and monitor user attentiveness
US10650552B2 (en) * 2016-12-29 2020-05-12 Magic Leap, Inc. Systems and methods for augmented reality
US11615628B2 (en) * 2018-02-02 2023-03-28 Sony Corporation Information processing apparatus, information processing method, and mobile object
JP7266208B2 (ja) * 2019-05-23 2023-04-28 株式会社岩根研究所 認識位置決め装置及び情報変換装置

Patent Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2011180873A (ja) * 2010-03-02 2011-09-15 Panasonic Corp 運転支援装置、及び運転支援方法
US20170371329A1 (en) * 2014-12-19 2017-12-28 United Technologies Corporation Multi-modal sensor data fusion for perception systems

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
SIBO SONG ET AL.: "Multimodal Multi-Stream Deep Learning for Egocentric Activity Recognition", 2016 IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION WORKSHOP (CVPRW), JPN6022042514, 26 June 2016 (2016-06-26), pages 378 - 385, XP033027850, ISSN: 0004893790, DOI: 10.1109/CVPRW.2016.54 *
山本 修平: "ドライブレコーダデータに対するヒヤリハット発生対象分類", マルチメディア，分散，協調とモバイル（ＤＩＣＯＭＯ２０１８）シンポジウム論文集 情報処理学会シンポジ, vol. 第2018巻 第1号, JPN6022042513, 27 June 2018 (2018-06-27), pages 542 - 553, ISSN: 0004893789 *

Also Published As

Publication number Publication date
WO2020240672A1 (ja) 2020-12-03
US20220245829A1 (en) 2022-08-04
JP7176626B2 (ja) 2022-11-22

Similar Documents

Publication Publication Date Title
BR112021017339A2 (ja)
BR112021018450A2 (ja)
BR112021017939A2 (ja)
BR112021017892A2 (ja)
AU2020104490A4 (ja)
BR112021017738A2 (ja)
BR112021017782A2 (ja)
BR112021018168A2 (ja)
BR112021017728A2 (ja)
BR112021018452A2 (ja)
BR112021017234A2 (ja)
BR112021017355A2 (ja)
BR112021017703A2 (ja)
BR112021017173A2 (ja)
BR112021018102A2 (ja)
BR112021017083A2 (ja)
BR112021017637A2 (ja)
BR112021018250A2 (ja)
BR112021018093A2 (ja)
BR112021018084A2 (ja)
BR112021018484A2 (ja)
BR112021017732A2 (ja)
BR112021015080A2 (ja)
BR112021017949A2 (ja)
BR112021017983A2 (ja)

Legal Events

Date Code Title Description
A621 Written request for application examination

Free format text: JAPANESE INTERMEDIATE CODE: A621

Effective date: 20211111

TRDD Decision of grant or rejection written
A01 Written decision to grant a patent or to grant a registration (utility model)

Free format text: JAPANESE INTERMEDIATE CODE: A01

Effective date: 20221011

A61 First payment of annual fees (during grant procedure)

Free format text: JAPANESE INTERMEDIATE CODE: A61

Effective date: 20221024

R150 Certificate of patent or registration of utility model

Ref document number: 7176626

Country of ref document: JP

Free format text: JAPANESE INTERMEDIATE CODE: R150