MX2017012859A - Sistema y metodo para identificar un objeto en una imagen. - Google Patents

Sistema y metodo para identificar un objeto en una imagen.

Info

Publication number
MX2017012859A
MX2017012859A MX2017012859A MX2017012859A MX2017012859A MX 2017012859 A MX2017012859 A MX 2017012859A MX 2017012859 A MX2017012859 A MX 2017012859A MX 2017012859 A MX2017012859 A MX 2017012859A MX 2017012859 A MX2017012859 A MX 2017012859A
Authority
MX
Mexico
Prior art keywords
pixel
background
frame
current
running
Prior art date
Application number
MX2017012859A
Other languages
English (en)
Inventor
L Boon Cathy
Li Zheng
Original Assignee
Bendix Commercial Vehicle Systems Llc
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 Bendix Commercial Vehicle Systems Llc filed Critical Bendix Commercial Vehicle Systems Llc
Publication of MX2017012859A publication Critical patent/MX2017012859A/es

Links

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/10—Segmentation; Edge detection
    • G06T7/11—Region-based segmentation
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/10—Segmentation; Edge detection
    • G06T7/136—Segmentation; Edge detection involving thresholding
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/10—Segmentation; Edge detection
    • G06T7/143—Segmentation; Edge detection involving probabilistic approaches, e.g. Markov random field [MRF] modelling
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/10—Segmentation; Edge detection
    • G06T7/174—Segmentation; Edge detection involving the use of two or more images
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/10—Segmentation; Edge detection
    • G06T7/194—Segmentation; Edge detection involving foreground-background segmentation
    • 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
    • G06T2207/10—Image acquisition modality
    • G06T2207/10016—Video; Image sequence

Landscapes

  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • General Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Probability & Statistics with Applications (AREA)
  • Software Systems (AREA)
  • Image Analysis (AREA)

Abstract

Un método para procesar datos de imágenes incluye identificar una escena de fondo en una trama de fondo de una imagen. Cada uno de una pluralidad de ubicaciones de pixeles en la trama de fondo se establece como un pixel de fondo respectivo. Para cada una de las ubicaciones de pixeles, una media de la marcha respectiva y una varianza de la marcha respectiva se determina basado en un componente de brillo de la trama de fondo en la ubicación del pixel. Una trama subsiguiente se identifica como una trama actual. Para cada una de las ubicaciones de pixeles en la trama actual identificada como un pixel de fondo, la media de la marcha se actualiza basado en uno de una pluralidad de pesos medios y la varianza de la marcha se actualiza basado en uno de una pluralidad de pesos de varianza. Para cada una de las ubicaciones de pixeles en la trama actual, se hace una identificación si la ubicación del pixel actual es uno de un pixel de fondo y un pixel en primer plano basado en un componente de brillo de la ubicación del pixel de fondo en la trama actual, la media de la marcha de la ubicación de pixel actual y la varianza de la marcha de la ubicación del pixel actual.
MX2017012859A 2015-04-09 2016-04-06 Sistema y metodo para identificar un objeto en una imagen. MX2017012859A (es)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
US14/683,113 US9652854B2 (en) 2015-04-09 2015-04-09 System and method for identifying an object in an image
PCT/US2016/026175 WO2016164432A1 (en) 2015-04-09 2016-04-06 System and method for identifying an object in an image

Publications (1)

Publication Number Publication Date
MX2017012859A true MX2017012859A (es) 2018-01-30

Family

ID=55806789

Family Applications (1)

Application Number Title Priority Date Filing Date
MX2017012859A MX2017012859A (es) 2015-04-09 2016-04-06 Sistema y metodo para identificar un objeto en una imagen.

Country Status (6)

Country Link
US (1) US9652854B2 (es)
EP (1) EP3281174B1 (es)
CN (1) CN107667391B (es)
CA (1) CA2982345C (es)
MX (1) MX2017012859A (es)
WO (1) WO2016164432A1 (es)

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GB2564764B (en) * 2015-11-13 2021-11-10 Flir Systems Sonar sensor fusion and model based virtual and augmented reality systems and methods
US11783707B2 (en) * 2018-10-09 2023-10-10 Ford Global Technologies, Llc Vehicle path planning
CN110798592B (zh) * 2019-10-29 2022-01-04 普联技术有限公司 基于视频图像的物体移动侦测方法、装置、设备及存储介质
EP3848939A1 (en) * 2020-01-07 2021-07-14 Robert Bosch GmbH Processing a classifier

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Also Published As

Publication number Publication date
US20160300357A1 (en) 2016-10-13
EP3281174A1 (en) 2018-02-14
CN107667391B (zh) 2021-02-26
CA2982345A1 (en) 2016-10-13
US9652854B2 (en) 2017-05-16
CN107667391A (zh) 2018-02-06
CA2982345C (en) 2024-05-21
WO2016164432A1 (en) 2016-10-13
EP3281174B1 (en) 2020-03-25

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