SG11202012782TA - Three-dimensional human pose information detection method and device and apparatus, electronic device and storage medium - Google Patents

Three-dimensional human pose information detection method and device and apparatus, electronic device and storage medium

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Publication number
SG11202012782TA
SG11202012782TA SG11202012782TA SG11202012782TA SG11202012782TA SG 11202012782T A SG11202012782T A SG 11202012782TA SG 11202012782T A SG11202012782T A SG 11202012782TA SG 11202012782T A SG11202012782T A SG 11202012782TA SG 11202012782T A SG11202012782T A SG 11202012782TA
Authority
SG
Singapore
Prior art keywords
storage medium
detection method
information detection
pose information
electronic device
Prior art date
Application number
SG11202012782TA
Other languages
English (en)
Inventor
Luyang Wang
Yan Chen
Sijie Ren
Original Assignee
Shenzhen Sensetime Technology Co Ltd
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Publication date
Application filed by Shenzhen Sensetime Technology Co Ltd filed Critical Shenzhen Sensetime Technology Co Ltd
Publication of SG11202012782TA publication Critical patent/SG11202012782TA/en

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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis
    • G06T7/70Determining position or orientation of objects or cameras
    • G06T7/73Determining position or orientation of objects or cameras using feature-based methods
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis
    • G06T7/50Depth or shape recovery
    • G06T7/55Depth or shape recovery from multiple images
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis
    • G06T7/70Determining position or orientation of objects or cameras
    • G06T7/73Determining position or orientation of objects or cameras using feature-based methods
    • G06T7/75Determining position or orientation of objects or cameras using feature-based methods involving models
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis
    • G06T7/97Determining parameters from multiple pictures
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00Arrangements for image or video recognition or understanding
    • G06V10/40Extraction of image or video features
    • G06V10/44Local 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
    • G06V10/443Local 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
    • G06V10/449Biologically inspired filters, e.g. difference of Gaussians [DoG] or Gabor filters
    • G06V10/451Biologically inspired filters, e.g. difference of Gaussians [DoG] or Gabor filters with interaction between the filter responses, e.g. cortical complex cells
    • G06V10/454Integrating the filters into a hierarchical structure, e.g. convolutional neural networks [CNN]
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00Arrangements for image or video recognition or understanding
    • G06V10/40Extraction of image or video features
    • G06V10/46Descriptors for shape, contour or point-related descriptors, e.g. scale invariant feature transform [SIFT] or bags of words [BoW]; Salient regional features
    • G06V10/462Salient features, e.g. scale invariant feature transforms [SIFT]
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00Arrangements for image or video recognition or understanding
    • G06V10/70Arrangements for image or video recognition or understanding using pattern recognition or machine learning
    • G06V10/82Arrangements for image or video recognition or understanding using pattern recognition or machine learning using neural networks
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00Scenes; Scene-specific elements
    • G06V20/60Type of objects
    • G06V20/64Three-dimensional objects
    • G06V20/647Three-dimensional objects by matching two-dimensional images to three-dimensional objects
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/103Static body considered as a whole, e.g. static pedestrian or occupant recognition
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/20Special algorithmic details
    • G06T2207/20081Training; Learning
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/20Special algorithmic details
    • G06T2207/20084Artificial neural networks [ANN]
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/30Subject of image; Context of image processing
    • G06T2207/30196Human being; Person

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  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Multimedia (AREA)
  • Evolutionary Computation (AREA)
  • Health & Medical Sciences (AREA)
  • Artificial Intelligence (AREA)
  • General Health & Medical Sciences (AREA)
  • Databases & Information Systems (AREA)
  • Computing Systems (AREA)
  • Medical Informatics (AREA)
  • Software Systems (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Biodiversity & Conservation Biology (AREA)
  • Biomedical Technology (AREA)
  • Molecular Biology (AREA)
  • Human Computer Interaction (AREA)
  • Image Analysis (AREA)
  • Image Processing (AREA)
SG11202012782TA 2019-01-31 2020-01-14 Three-dimensional human pose information detection method and device and apparatus, electronic device and storage medium SG11202012782TA (en)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
CN201910098332.0A CN109840500B (zh) 2019-01-31 2019-01-31 一种三维人体姿态信息检测方法及装置
PCT/CN2020/071945 WO2020156143A1 (zh) 2019-01-31 2020-01-14 三维人体姿态信息检测方法及装置、电子设备、存储介质

Publications (1)

Publication Number Publication Date
SG11202012782TA true SG11202012782TA (en) 2021-01-28

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Country Status (5)

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US (1) US20210097717A1 (zh)
JP (1) JP2021527877A (zh)
CN (1) CN109840500B (zh)
SG (1) SG11202012782TA (zh)
WO (1) WO2020156143A1 (zh)

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CN110472481B (zh) * 2019-07-01 2024-01-05 华南师范大学 一种睡姿检测方法、装置及设备
CN112668359A (zh) * 2019-10-15 2021-04-16 富士通株式会社 动作识别方法、动作识别装置和电子设备
CN110807833B (zh) * 2019-11-04 2023-07-25 成都数字天空科技有限公司 一种网状拓扑获得方法、装置、电子设备及存储介质
CN111291718B (zh) * 2020-02-28 2022-06-03 上海商汤智能科技有限公司 行为预测方法及装置、步态识别方法及装置
CN111753747B (zh) * 2020-06-28 2023-11-24 高新兴科技集团股份有限公司 基于单目摄像头和三维姿态估计的剧烈运动检测方法
CN112329723A (zh) * 2020-11-27 2021-02-05 北京邮电大学 一种基于双目相机的多人人体3d骨骼关键点定位方法
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Publication number Publication date
CN109840500A (zh) 2019-06-04
JP2021527877A (ja) 2021-10-14
US20210097717A1 (en) 2021-04-01
CN109840500B (zh) 2021-07-02
WO2020156143A1 (zh) 2020-08-06

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