JPWO2022162782A1 - - Google Patents

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Publication number
JPWO2022162782A1
JPWO2022162782A1 JP2022577874A JP2022577874A JPWO2022162782A1 JP WO2022162782 A1 JPWO2022162782 A1 JP WO2022162782A1 JP 2022577874 A JP2022577874 A JP 2022577874A JP 2022577874 A JP2022577874 A JP 2022577874A JP WO2022162782 A1 JPWO2022162782 A1 JP WO2022162782A1
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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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JP2022577874A
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Japanese (ja)
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JP7613488B2 (ja
JPWO2022162782A5 (https=
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    • 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
    • G06V40/23—Recognition of whole body movements, e.g. for sport training
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N20/00—Machine learning
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/04—Architecture, e.g. interconnection topology
    • G06N3/045—Combinations of networks
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N7/00—Computing arrangements based on specific mathematical models
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T5/00—Image enhancement or restoration
    • G06T5/73—Deblurring; Sharpening
    • 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
    • G06V10/778—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
    • 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
    • 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
    • G06V40/28—Recognition of hand or arm movements, e.g. recognition of deaf sign language

Landscapes

  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Software Systems (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • General Health & Medical Sciences (AREA)
  • Multimedia (AREA)
  • Health & Medical Sciences (AREA)
  • Evolutionary Computation (AREA)
  • Computing Systems (AREA)
  • Artificial Intelligence (AREA)
  • Psychiatry (AREA)
  • Social Psychology (AREA)
  • Human Computer Interaction (AREA)
  • Databases & Information Systems (AREA)
  • Medical Informatics (AREA)
  • Data Mining & Analysis (AREA)
  • General Engineering & Computer Science (AREA)
  • Mathematical Physics (AREA)
  • Probability & Statistics with Applications (AREA)
  • Algebra (AREA)
  • Computational Mathematics (AREA)
  • Mathematical Analysis (AREA)
  • Mathematical Optimization (AREA)
  • Pure & Applied Mathematics (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Biomedical Technology (AREA)
  • Biophysics (AREA)
  • Computational Linguistics (AREA)
  • Molecular Biology (AREA)
  • Image Analysis (AREA)
JP2022577874A 2021-01-27 2021-01-27 行動区間推定モデル構築装置、行動区間推定モデル構築方法及び行動区間推定モデル構築プログラム Active JP7613488B2 (ja)

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
PCT/JP2021/002817 WO2022162782A1 (ja) 2021-01-27 2021-01-27 行動区間推定モデル構築装置、行動区間推定モデル構築方法及び行動区間推定モデル構築プログラム

Publications (3)

Publication Number Publication Date
JPWO2022162782A1 true JPWO2022162782A1 (https=) 2022-08-04
JPWO2022162782A5 JPWO2022162782A5 (https=) 2023-09-22
JP7613488B2 JP7613488B2 (ja) 2025-01-15

Family

ID=82653119

Family Applications (1)

Application Number Title Priority Date Filing Date
JP2022577874A Active JP7613488B2 (ja) 2021-01-27 2021-01-27 行動区間推定モデル構築装置、行動区間推定モデル構築方法及び行動区間推定モデル構築プログラム

Country Status (4)

Country Link
US (1) US20230343142A1 (https=)
EP (1) EP4287078B1 (https=)
JP (1) JP7613488B2 (https=)
WO (1) WO2022162782A1 (https=)

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, JPN6021012857, 16 May 2015 (2015-05-16), JP, ISSN: 0005407887 *

Also Published As

Publication number Publication date
JP7613488B2 (ja) 2025-01-15
EP4287078A1 (en) 2023-12-06
US20230343142A1 (en) 2023-10-26
EP4287078B1 (en) 2026-03-11
EP4287078A4 (en) 2024-03-20
WO2022162782A1 (ja) 2022-08-04

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