JPWO2022162780A1 - - Google Patents

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Publication number
JPWO2022162780A1
JPWO2022162780A1 JP2022577872A JP2022577872A JPWO2022162780A1 JP WO2022162780 A1 JPWO2022162780 A1 JP WO2022162780A1 JP 2022577872 A JP2022577872 A JP 2022577872A JP 2022577872 A JP2022577872 A JP 2022577872A JP WO2022162780 A1 JPWO2022162780 A1 JP WO2022162780A1
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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.)
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Application number
JP2022577872A
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Japanese (ja)
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JP7567943B2 (ja
JPWO2022162780A5 (https=
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Classifications

    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; 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
    • G06V10/77—Processing image or video features in feature spaces; using data integration or data reduction, e.g. principal component analysis [PCA] or independent component analysis [ICA] or self-organising maps [SOM]; Blind source separation
    • G06V10/778—Active pattern-learning, e.g. online learning of image or video features
    • G06V10/7784—Active pattern-learning, e.g. online learning of image or video features based on feedback from supervisors
    • G06V10/7788—Active pattern-learning, e.g. online learning of image or video features based on feedback from supervisors the supervisor being a human, e.g. interactive learning with a human teacher
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N7/00—Computing arrangements based on specific mathematical models
    • G06N7/01—Probabilistic graphical models, e.g. probabilistic networks
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; 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
    • G06V10/62—Extraction of image or video features relating to a temporal dimension, e.g. time-based feature extraction; Pattern tracking
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; 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
    • G06V10/77—Processing image or video features in feature spaces; using data integration or data reduction, e.g. principal component analysis [PCA] or independent component analysis [ICA] or self-organising maps [SOM]; Blind source separation
    • G06V10/772—Determining representative reference patterns, e.g. averaging or distorting patterns; Generating dictionaries
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; 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
    • G06V10/77—Processing image or video features in feature spaces; using data integration or data reduction, e.g. principal component analysis [PCA] or independent component analysis [ICA] or self-organising maps [SOM]; Blind source separation
    • G06V10/774—Generating sets of training patterns; Bootstrap methods, e.g. bagging or boosting
    • G06V10/7747—Organisation of the process, e.g. bagging or boosting
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; 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
    • G06V10/84—Arrangements for image or video recognition or understanding using pattern recognition or machine learning using probabilistic graphical models from image or video features, e.g. Markov models or Bayesian networks
    • G06V10/85—Markov-related models; Markov random fields
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/20—Movements or behaviour, e.g. gesture recognition
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/20—Movements or behaviour, e.g. gesture recognition
    • G06V40/23—Recognition of whole body movements, e.g. for sport training

Landscapes

  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Software Systems (AREA)
  • General Physics & Mathematics (AREA)
  • Multimedia (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Databases & Information Systems (AREA)
  • Health & Medical Sciences (AREA)
  • General Health & Medical Sciences (AREA)
  • Evolutionary Computation (AREA)
  • Computing Systems (AREA)
  • Artificial Intelligence (AREA)
  • Medical Informatics (AREA)
  • Probability & Statistics with Applications (AREA)
  • Psychiatry (AREA)
  • Social Psychology (AREA)
  • Human Computer Interaction (AREA)
  • Computational Mathematics (AREA)
  • Algebra (AREA)
  • Data Mining & Analysis (AREA)
  • Mathematical Analysis (AREA)
  • Mathematical Optimization (AREA)
  • Pure & Applied Mathematics (AREA)
  • General Engineering & Computer Science (AREA)
  • Mathematical Physics (AREA)
  • Image Analysis (AREA)
JP2022577872A 2021-01-27 2021-01-27 部分行動区間推定モデル構築装置、部分行動区間推定モデル構築方法及び部分行動区間推定モデル構築プログラム Active JP7567943B2 (ja)

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
PCT/JP2021/002815 WO2022162780A1 (ja) 2021-01-27 2021-01-27 部分行動区間推定モデル構築装置、部分行動区間推定モデル構築方法及び部分行動区間推定モデル構築プログラム

Publications (3)

Publication Number Publication Date
JPWO2022162780A1 true JPWO2022162780A1 (https=) 2022-08-04
JPWO2022162780A5 JPWO2022162780A5 (https=) 2023-09-22
JP7567943B2 JP7567943B2 (ja) 2024-10-16

Family

ID=82653205

Family Applications (1)

Application Number Title Priority Date Filing Date
JP2022577872A Active JP7567943B2 (ja) 2021-01-27 2021-01-27 部分行動区間推定モデル構築装置、部分行動区間推定モデル構築方法及び部分行動区間推定モデル構築プログラム

Country Status (4)

Country Link
US (1) US20230343080A1 (https=)
EP (1) EP4258183A4 (https=)
JP (1) JP7567943B2 (https=)
WO (1) WO2022162780A1 (https=)

Families Citing this family (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2024047716A1 (ja) * 2022-08-29 2024-03-07 富士通株式会社 機械学習プログラム、機械学習方法および情報処理装置
CN116070734A (zh) * 2022-11-18 2023-05-05 贵州电网有限责任公司 一种变压器故障预测方法、装置、设备及存储介质

Citations (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2020050111A1 (ja) * 2018-09-03 2020-03-12 国立大学法人東京大学 動作認識方法及び装置

Patent Citations (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2020050111A1 (ja) * 2018-09-03 2020-03-12 国立大学法人東京大学 動作認識方法及び装置

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
杉野原 和也 ほか: "レーザセンシングシステムと階層的隠れマルコフモデルによる居住者の行動推定", ロボティクス・メカトロニクス 講演会２０１５ 講演論文集, vol. No.15-2, JPN6021012856, 16 May 2015 (2015-05-16), JP, ISSN: 0005407886 *

Also Published As

Publication number Publication date
EP4258183A4 (en) 2024-01-24
JP7567943B2 (ja) 2024-10-16
WO2022162780A1 (ja) 2022-08-04
US20230343080A1 (en) 2023-10-26
EP4258183A1 (en) 2023-10-11

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