BR112018076556A2 - detecção de objetos em dados de vídeo - Google Patents

detecção de objetos em dados de vídeo

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Publication number
BR112018076556A2
BR112018076556A2 BR112018076556-2A BR112018076556A BR112018076556A2 BR 112018076556 A2 BR112018076556 A2 BR 112018076556A2 BR 112018076556 A BR112018076556 A BR 112018076556A BR 112018076556 A2 BR112018076556 A2 BR 112018076556A2
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BR
Brazil
Prior art keywords
representation
video data
elements
probability values
surface element
Prior art date
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BR112018076556-2A
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English (en)
Inventor
Brendan Mccormac John
Handa Ankur
Davison Andrew
Leutenegger Stefan
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Imperial College Of Science, Technology And Medicine
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Application filed by Imperial College Of Science, Technology And Medicine filed Critical Imperial College Of Science, Technology And Medicine
Publication of BR112018076556A2 publication Critical patent/BR112018076556A2/pt

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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00—Scenes; Scene-specific elements
    • G06V20/40—Scenes; Scene-specific elements in video content
    • G06V20/41—Higher-level, semantic clustering, classification or understanding of video scenes, e.g. detection, labelling or Markovian modelling of sport events or news items
    • 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
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G06F18/20—Analysing
    • G06F18/21—Design or setup of recognition systems or techniques; Extraction of features in feature space; Blind source separation
    • G06F18/214—Generating training patterns; Bootstrap methods, e.g. bagging or boosting
    • G06F18/2148—Generating training patterns; Bootstrap methods, e.g. bagging or boosting characterised by the process organisation or structure, e.g. boosting cascade
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G06F18/20—Analysing
    • G06F18/24—Classification techniques
    • G06F18/241—Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches
    • G06F18/2415—Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches based on parametric or probabilistic models, e.g. based on likelihood ratio or false acceptance rate versus a false rejection rate
    • 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
    • G06T7/00—Image analysis
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/20—Image preprocessing
    • G06V10/28—Quantising the image, e.g. histogram thresholding for discrimination between background and foreground patterns
    • 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
    • G06V10/77—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
    • G06V10/7715—Feature extraction, e.g. by transforming the feature space, e.g. multi-dimensional scaling [MDS]; Mappings, e.g. subspace methods
    • 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
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N13/00—Stereoscopic video systems; Multi-view video systems; Details thereof
    • H04N13/10—Processing, recording or transmission of stereoscopic or multi-view image signals
    • H04N13/106—Processing image signals
    • H04N13/172—Processing image signals image signals comprising non-image signal components, e.g. headers or format information
    • H04N13/183—On-screen display [OSD] information, e.g. subtitles or menus

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  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Multimedia (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Data Mining & Analysis (AREA)
  • Evolutionary Computation (AREA)
  • Artificial Intelligence (AREA)
  • Software Systems (AREA)
  • Computational Linguistics (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • General Engineering & Computer Science (AREA)
  • General Health & Medical Sciences (AREA)
  • Health & Medical Sciences (AREA)
  • Computing Systems (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • Bioinformatics & Computational Biology (AREA)
  • Evolutionary Biology (AREA)
  • Medical Informatics (AREA)
  • Databases & Information Systems (AREA)
  • Probability & Statistics with Applications (AREA)
  • Human Computer Interaction (AREA)
  • Signal Processing (AREA)
  • Biomedical Technology (AREA)
  • Biophysics (AREA)
  • Molecular Biology (AREA)
  • Mathematical Physics (AREA)
  • Image Analysis (AREA)
  • Length Measuring Devices By Optical Means (AREA)
  • Processing Or Creating Images (AREA)
  • Information Retrieval, Db Structures And Fs Structures Therefor (AREA)

Abstract

determinados exemplos descritos aqui permitem que representações semanticamente marcadas de um espaço tridimensional (3d) sejam geradas a partir de dados de vídeo. em exemplos descritos, uma representação 3d é uma representação de elemento de superfície ou 'surfel', onde a geometria do espaço é modelada usando uma pluralidade de superfícies que são definidas dentro de um sistema de coordenada 3d. valores de probabilidade de marcação de objeto para elementos espaciais de quadros de dados de vídeo podem ser determinados (605) usando um classificador de imagem bidimensional. elementos de superfície que correspondem aos elementos espaciais são identificados (610) com base em uma projeção da representação do elemento de superfície usando uma pose estimada para um quadro. valores de probabilidade de marcação de objeto para os elementos de superfície são então atualizados (615) com base nos valores de probabilidade de marcação de objeto para elementos espaciais correspondentes. isso resulta em uma representação 3d semanticamente marcada do elemento de superfície de objetos presentes nos dados de vídeo. os referidos dados permitem a visão por computador e/ou aplicações robóticas realizem o melhor uso de uma representação 3d.
BR112018076556-2A 2016-06-24 2017-06-09 detecção de objetos em dados de vídeo BR112018076556A2 (pt)

Applications Claiming Priority (3)

Application Number Priority Date Filing Date Title
GB1611033.0A GB2554633B (en) 2016-06-24 2016-06-24 Detecting objects in video data
GB1611033.0 2016-06-24
PCT/GB2017/051679 WO2017220966A1 (en) 2016-06-24 2017-06-09 Detecting objects in video data

Publications (1)

Publication Number Publication Date
BR112018076556A2 true BR112018076556A2 (pt) 2019-04-02

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BR112018076556-2A BR112018076556A2 (pt) 2016-06-24 2017-06-09 detecção de objetos em dados de vídeo

Country Status (11)

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US (1) US10915731B2 (pt)
EP (1) EP3475875A1 (pt)
JP (1) JP7009399B2 (pt)
KR (1) KR20190038808A (pt)
CN (1) CN109643368B (pt)
AU (1) AU2017281822A1 (pt)
BR (1) BR112018076556A2 (pt)
GB (1) GB2554633B (pt)
RU (1) RU2019101759A (pt)
SG (1) SG11201811330WA (pt)
WO (1) WO2017220966A1 (pt)

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GB2576322B (en) * 2018-08-13 2022-11-09 Imperial College Innovations Ltd Mapping object instances using video data

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