BR112014032832A2 - aprendizagem não supervisionada de anomalias de função para um sistema de vigilância por vídeo - Google Patents

aprendizagem não supervisionada de anomalias de função para um sistema de vigilância por vídeo

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Publication number
BR112014032832A2
BR112014032832A2 BR112014032832A BR112014032832A BR112014032832A2 BR 112014032832 A2 BR112014032832 A2 BR 112014032832A2 BR 112014032832 A BR112014032832 A BR 112014032832A BR 112014032832 A BR112014032832 A BR 112014032832A BR 112014032832 A2 BR112014032832 A2 BR 112014032832A2
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BR
Brazil
Prior art keywords
anomalies
function
engines
surveillance system
video surveillance
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Application number
BR112014032832A
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English (en)
Inventor
Seow Ming-Jung
Kenneth Cobb Wesley
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Behavioral Recognition Sys Inc
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.)
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Application filed by Behavioral Recognition Sys Inc filed Critical Behavioral Recognition Sys Inc
Publication of BR112014032832A2 publication Critical patent/BR112014032832A2/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
    • G06V20/50—Context or environment of the image
    • G06V20/52—Surveillance or monitoring of activities, e.g. for recognising suspicious objects
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G06F18/20—Analysing
    • G06F18/23—Clustering techniques
    • 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
    • G06N3/088—Non-supervised learning, e.g. competitive learning
    • 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
    • G06V10/762—Arrangements for image or video recognition or understanding using pattern recognition or machine learning using clustering, e.g. of similar faces in social networks
    • 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
    • G06N3/04—Architecture, e.g. interconnection topology
    • G06N3/0409—Adaptive resonance theory [ART] networks

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  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Data Mining & Analysis (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Evolutionary Computation (AREA)
  • Artificial Intelligence (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Multimedia (AREA)
  • General Engineering & Computer Science (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • Evolutionary Biology (AREA)
  • General Health & Medical Sciences (AREA)
  • Software Systems (AREA)
  • Computing Systems (AREA)
  • Health & Medical Sciences (AREA)
  • Bioinformatics & Computational Biology (AREA)
  • Medical Informatics (AREA)
  • Databases & Information Systems (AREA)
  • Biomedical Technology (AREA)
  • Biophysics (AREA)
  • Computational Linguistics (AREA)
  • Molecular Biology (AREA)
  • Mathematical Physics (AREA)
  • Image Analysis (AREA)

Abstract

resumo patente de invenção: "aprendizagem não supervisionada de anomalias de função para um sistema de vigilância por vídeo". a presente invenção refere-se às técnicas reveladas para analisar uma cena representada em um fluxo de entrada de quadros de vídeo capturados por uma câmera de vídeo. em uma modalidade, por exemplo, um motor de aprendizagem por máquina pode incluir motores de estatísticas para gerar mapas de função topológica baseados em observações e um módulo de detecção para detectar anomalias de função. os motores estatísticos podem incluir redes de teoria de ressonância adaptativa (art) cujo grupo observou características da função da posição. os motores estatísticos podem ainda reforçar, deteriorar, unir e remover grupos. o modulo de detecção pode calcular um valor de raridade relativo às observações e dados recorrentes nas redes de art. além disso, a sensibilidade da detecção pode ser ajustada de acordo com a relativa importância de anomalias recém-observadas.
BR112014032832A 2012-06-29 2013-06-27 aprendizagem não supervisionada de anomalias de função para um sistema de vigilância por vídeo BR112014032832A2 (pt)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
US201261666359P 2012-06-29 2012-06-29
PCT/US2013/048308 WO2014004901A1 (en) 2012-06-29 2013-06-27 Unsupervised learning of feature anomalies for a video surveillance system

Publications (1)

Publication Number Publication Date
BR112014032832A2 true BR112014032832A2 (pt) 2017-06-27

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BR112014032832A BR112014032832A2 (pt) 2012-06-29 2013-06-27 aprendizagem não supervisionada de anomalias de função para um sistema de vigilância por vídeo

Country Status (5)

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US (1) US9111148B2 (pt)
EP (1) EP2867860A4 (pt)
KR (1) KR20150029006A (pt)
BR (1) BR112014032832A2 (pt)
WO (1) WO2014004901A1 (pt)

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Also Published As

Publication number Publication date
WO2014004901A1 (en) 2014-01-03
KR20150029006A (ko) 2015-03-17
EP2867860A1 (en) 2015-05-06
US20140003710A1 (en) 2014-01-02
US9111148B2 (en) 2015-08-18
EP2867860A4 (en) 2016-07-27

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