BR102022003236A8 - Sistema e método para combinar uma sequência de quadros de teste com uma sequência de quadros de referência - Google Patents

Sistema e método para combinar uma sequência de quadros de teste com uma sequência de quadros de referência

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Publication number
BR102022003236A8
BR102022003236A8 BR102022003236A BR102022003236A BR102022003236A8 BR 102022003236 A8 BR102022003236 A8 BR 102022003236A8 BR 102022003236 A BR102022003236 A BR 102022003236A BR 102022003236 A BR102022003236 A BR 102022003236A BR 102022003236 A8 BR102022003236 A8 BR 102022003236A8
Authority
BR
Brazil
Prior art keywords
sequence
frames
test
dimensional
combining
Prior art date
Application number
BR102022003236A
Other languages
English (en)
Other versions
BR102022003236A2 (pt
Inventor
Arash Azhand
Punjal Agarwal
Original Assignee
Lindera Gmbh
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 by Lindera Gmbh filed Critical Lindera Gmbh
Publication of BR102022003236A2 publication Critical patent/BR102022003236A2/pt
Publication of BR102022003236A8 publication Critical patent/BR102022003236A8/pt

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Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/30—Determination of transform parameters for the alignment of images, i.e. image registration
    • G06T7/38—Registration of image sequences
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/08—Learning methods
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T13/00—Animation
    • G06T13/80—2D [Two Dimensional] animation, e.g. using sprites
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/103—Detecting, measuring or recording devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
    • A61B5/11—Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
    • G06F3/01—Input arrangements or combined input and output arrangements for interaction between user and computer
    • G06F3/017—Gesture based interaction, e.g. based on a set of recognized hand gestures
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/20—Analysis of motion
    • 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
    • G06V20/20—Scenes; Scene-specific elements in augmented reality scenes
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00—Scenes; Scene-specific elements
    • G06V20/60—Type of objects
    • G06V20/64—Three-dimensional objects
    • G06V20/647—Three-dimensional objects by matching two-dimensional images to three-dimensional objects
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR 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
    • G06V40/103—Static body considered as a whole, e.g. static pedestrian or occupant recognition
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR 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; 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
    • 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
    • G06T2207/20084—Artificial neural networks [ANN]
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR 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

Landscapes

  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Health & Medical Sciences (AREA)
  • Multimedia (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • General Health & Medical Sciences (AREA)
  • Human Computer Interaction (AREA)
  • General Engineering & Computer Science (AREA)
  • Evolutionary Computation (AREA)
  • Molecular Biology (AREA)
  • Biomedical Technology (AREA)
  • Medical Informatics (AREA)
  • Biophysics (AREA)
  • Psychiatry (AREA)
  • Social Psychology (AREA)
  • Heart & Thoracic Surgery (AREA)
  • Veterinary Medicine (AREA)
  • Pathology (AREA)
  • Software Systems (AREA)
  • Computing Systems (AREA)
  • Artificial Intelligence (AREA)
  • Surgery (AREA)
  • Animal Behavior & Ethology (AREA)
  • Public Health (AREA)
  • Databases & Information Systems (AREA)
  • Computational Linguistics (AREA)
  • Data Mining & Analysis (AREA)
  • Mathematical Physics (AREA)
  • Physiology (AREA)
  • Dentistry (AREA)
  • Oral & Maxillofacial Surgery (AREA)
  • Image Analysis (AREA)
  • Measurement Of The Respiration, Hearing Ability, Form, And Blood Characteristics Of Living Organisms (AREA)

Abstract

sistema e método para combinar uma sequência de quadros de teste com uma sequência de quadros de referência. trata-se de um método implementado por computador, produto de programa de computador e sistema computacional (100) para combinar uma sequência de quadros de teste (201) com uma sequência de quadros de referência (202). um arquivo de dados de pose (203) representa, para cada quadro (fr1 a frn) da sequência de quadros de referência (202), uma pluralidade de projeções de esqueleto bidimensionais (10p1, 10p2, 10p1’, 10p2’) em uma superfície esférica virtual (203s). cada projeção de esqueleto bidimensional (10p1, 10p2) na superfície esférica (203s) para um determinado quadro (fr1 a frn) corresponde a uma imagem de pose de referência bidimensional de um esqueleto tridimensional (10) de um primeiro humano de um ângulo de visualização diferente (f, ?). a sequência de quadros de teste (201) representa os movimentos de um segundo humano (2) durante a realização de um exercício físico (t1-t2-t3). a sequência de quadros de teste é capturada em um determinado ângulo por um dispositivo de câmera (200).
BR102022003236A 2021-03-03 2022-02-21 Sistema e método para combinar uma sequência de quadros de teste com uma sequência de quadros de referência BR102022003236A8 (pt)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
EP21160408.7A EP4053736B1 (en) 2021-03-03 2021-03-03 System and method for matching a test frame sequence with a reference frame sequence
EPEP21160408.7 2021-03-03

Publications (2)

Publication Number Publication Date
BR102022003236A2 BR102022003236A2 (pt) 2022-09-13
BR102022003236A8 true BR102022003236A8 (pt) 2024-01-30

Family

ID=74856729

Family Applications (1)

Application Number Title Priority Date Filing Date
BR102022003236A BR102022003236A8 (pt) 2021-03-03 2022-02-21 Sistema e método para combinar uma sequência de quadros de teste com uma sequência de quadros de referência

Country Status (4)

Country Link
US (1) US20220284652A1 (pt)
EP (1) EP4053736B1 (pt)
CN (1) CN115035542A (pt)
BR (1) BR102022003236A8 (pt)

Families Citing this family (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP4053736B1 (en) * 2021-03-03 2023-08-16 Lindera GmbH System and method for matching a test frame sequence with a reference frame sequence
US20230053308A1 (en) * 2021-08-13 2023-02-16 At&T Intellectual Property I, L.P. Simulation of likenesses and mannerisms in extended reality environments
CN116688494B (zh) * 2023-08-04 2023-10-20 荣耀终端有限公司 生成游戏预测帧的方法和电子设备

Family Cites Families (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2019050916A1 (en) * 2017-09-11 2019-03-14 Track160, Ltd. TECHNIQUES FOR RENDERING THREE-DIMENSIONAL ANIMATED GRAPHICS FROM A VIDEO
CN108597578B (zh) * 2018-04-27 2021-11-05 广东省智能制造研究所 一种基于二维骨架序列的人体运动评估方法
EP3656302B1 (en) 2018-11-26 2020-09-16 Lindera GmbH System and method for human gait analysis
US10916046B2 (en) * 2019-02-28 2021-02-09 Disney Enterprises, Inc. Joint estimation from images
CN110796077A (zh) * 2019-10-29 2020-02-14 湖北民族大学 姿态动作实时检测校正方法
CN110916707B (zh) * 2019-12-18 2023-06-27 上海皓桦科技股份有限公司 二维骨骼图像获取方法、系统及装置
US11301645B2 (en) * 2020-03-03 2022-04-12 Aziza Foster Language translation assembly
EP4053736B1 (en) * 2021-03-03 2023-08-16 Lindera GmbH System and method for matching a test frame sequence with a reference frame sequence

Also Published As

Publication number Publication date
EP4053736B1 (en) 2023-08-16
EP4053736A1 (en) 2022-09-07
CN115035542A (zh) 2022-09-09
BR102022003236A2 (pt) 2022-09-13
US20220284652A1 (en) 2022-09-08
EP4053736C0 (en) 2023-08-16

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Legal Events

Date Code Title Description
B03A Publication of a patent application or of a certificate of addition of invention [chapter 3.1 patent gazette]
B03H Publication of an application: rectification [chapter 3.8 patent gazette]

Free format text: REFERENTE A RPI 2697 DE 13/09/2022, QUANTO AO ITEM (30).