CN116324870B - 骨骼识别装置、学习方法以及学习程序 - Google Patents

骨骼识别装置、学习方法以及学习程序

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Publication number
CN116324870B
CN116324870B CN202080106146.8A CN202080106146A CN116324870B CN 116324870 B CN116324870 B CN 116324870B CN 202080106146 A CN202080106146 A CN 202080106146A CN 116324870 B CN116324870 B CN 116324870B
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learning
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CN116324870A (zh
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铃木达也
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Fujitsu Ltd
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Fujitsu Ltd
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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
    • G06V10/82—Arrangements for image or video recognition or understanding using pattern recognition or machine learning using neural 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
    • G06V40/23—Recognition of whole body movements, e.g. for sport training
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • 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
    • 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
    • G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V2201/00—Indexing scheme relating to image or video recognition or understanding
    • G06V2201/03—Recognition of patterns in medical or anatomical images
    • G06V2201/033—Recognition of patterns in medical or anatomical images of skeletal patterns

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  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Physics & Mathematics (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Multimedia (AREA)
  • Health & Medical Sciences (AREA)
  • General Health & Medical Sciences (AREA)
  • Evolutionary Computation (AREA)
  • Medical Informatics (AREA)
  • Artificial Intelligence (AREA)
  • Software Systems (AREA)
  • Computing Systems (AREA)
  • Databases & Information Systems (AREA)
  • Human Computer Interaction (AREA)
  • Psychiatry (AREA)
  • Social Psychology (AREA)
  • Image Analysis (AREA)
CN202080106146.8A 2020-11-30 2020-11-30 骨骼识别装置、学习方法以及学习程序 Active CN116324870B (zh)

Applications Claiming Priority (1)

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PCT/JP2020/044524 WO2022113349A1 (ja) 2020-11-30 2020-11-30 骨格認識装置、学習方法および学習プログラム

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CN116324870A CN116324870A (zh) 2023-06-23
CN116324870B true CN116324870B (zh) 2025-10-31

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US (1) US20230237849A1 (https=)
EP (1) EP4254322A4 (https=)
JP (1) JP7571796B2 (https=)
CN (1) CN116324870B (https=)
WO (1) WO2022113349A1 (https=)

Families Citing this family (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP7807693B1 (ja) * 2024-12-26 2026-01-28 キヤノンマーケティングジャパン株式会社 情報処理装置、情報処理方法、プログラム
CN120708291B (zh) * 2025-08-22 2025-10-31 中国矿业大学 一种基于持续学习的骨骼行为识别方法和系统

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Publication number Priority date Publication date Assignee Title
JP3860076B2 (ja) 2002-06-06 2006-12-20 独立行政法人科学技術振興機構 身体モデル生成方法、身体モデル生成プログラム及びそれを記録した記録媒体、身体モデルデータを記録した記録媒体
JP6433149B2 (ja) 2013-07-30 2018-12-05 キヤノン株式会社 姿勢推定装置、姿勢推定方法およびプログラム
WO2017187641A1 (ja) * 2016-04-28 2017-11-02 富士通株式会社 骨格推定装置、骨格推定方法および骨格推定プログラム
JP6816058B2 (ja) * 2017-10-25 2021-01-20 日本電信電話株式会社 パラメータ最適化装置、パラメータ最適化方法、プログラム
JP2021503134A (ja) * 2017-11-15 2021-02-04 グーグル エルエルシーＧｏｏｇｌｅ ＬＬＣ 画像深度とエゴモーション予測ニューラルネットワークの教師なし学習
CN108324503A (zh) * 2018-03-16 2018-07-27 燕山大学 基于肌骨模型和阻抗控制的康复机器人自适应控制方法
JP6392478B1 (ja) 2018-04-26 2018-09-19 株式会社 ディー・エヌ・エー 情報処理装置、情報処理プログラム、及び、情報処理方法
CN109064487B (zh) * 2018-07-02 2021-08-06 中北大学 一种基于Kinect骨骼节点位置追踪的人体姿势比较方法
US10796482B2 (en) * 2018-12-05 2020-10-06 Snap Inc. 3D hand shape and pose estimation
TW202026846A (zh) * 2019-01-04 2020-07-16 香港商成境科技有限公司 動作捕捉方法
CN110264551B (zh) * 2019-06-20 2022-10-11 合肥工业大学 一种运动重定向方法及系统

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
Hand pose estimation in object-interaction based on deep learning for virtual reality applications;Min-Yu Wu等;《Journal of Visual Communication and Image Representation》;20200731;第1-17页 *

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Publication number Publication date
JP7571796B2 (ja) 2024-10-23
EP4254322A4 (en) 2023-11-01
JPWO2022113349A1 (https=) 2022-06-02
US20230237849A1 (en) 2023-07-27
EP4254322A1 (en) 2023-10-04
WO2022113349A1 (ja) 2022-06-02
CN116324870A (zh) 2023-06-23

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