Incremental principal component pursuit for video background modeling

Rodriquez-Valderrama, Paul A.; Wohlberg, Brendt

Title: Incremental principal component pursuit for video background modeling

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Abstract

An incremental Principal Component Pursuit (PCP) algorithm for video background modeling that is able to process one frame at a time while adapting to changes in background, with a computational complexity that allows for real-time processing, having a low memory footprint and is robust to translational and rotational jitter.

Inventors:: Rodriquez-Valderrama, Paul A.; Wohlberg, Brendt

Issue Date:: 2017-03-14

Research Org.:: Los Alamos National Lab. (LANL), Los Alamos, NM (United States)

Sponsoring Org.:: USDOE

OSTI Identifier:: 1346950

Patent Number(s):: 9595112

Application Number:: 14/722,651

Assignee:: STC.UNM

Patent Classifications (CPCs):: G - PHYSICS G06 - COMPUTING G06T - IMAGE DATA PROCESSING OR GENERATION, IN GENERAL

G - PHYSICS G06 - COMPUTING G06K - RECOGNITION OF DATA

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G - PHYSICS G06 - COMPUTING G06T - IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
G06T2207/10016 - Video
G06T7/254 - involving subtraction of images
G06T7/11 - Region-based segmentation

G - PHYSICS G06 - COMPUTING G06K - RECOGNITION OF DATA
G06K9/34 - Segmentation of touching or overlapping patterns in the image field {

G - PHYSICS G06 - COMPUTING G06T - IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
G06T7/194 - involving foreground-background segmentation
G06T7/143 - involving probabilistic approaches, e.g. Markov random field [MRF] modelling
G06T2207/20081 - Training

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DOE Contract Number:: AC52-06NA25396

Resource Type:: Patent

Resource Relation:: Patent File Date: 2015 May 27

Country of Publication:: United States

Language:: English

Subject:: 97 MATHEMATICS AND COMPUTING

Citation Formats


                    Rodriquez-Valderrama, Paul A., and Wohlberg, Brendt. Incremental principal component pursuit for video background modeling.  United States: N. p., 2017. 
        Web.

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                    Rodriquez-Valderrama, Paul A., & Wohlberg, Brendt. Incremental principal component pursuit for video background modeling.  United States.

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                    Rodriquez-Valderrama, Paul A., and Wohlberg, Brendt. Tue .  
        "Incremental principal component pursuit for video background modeling".  United States.  https://www.osti.gov/servlets/purl/1346950.

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@article{osti_1346950,

  title        = {Incremental principal component pursuit for video background modeling},

  author       = {Rodriquez-Valderrama, Paul A. and Wohlberg, Brendt},

  abstractNote = {An incremental Principal Component Pursuit (PCP) algorithm for video background modeling that is able to process one frame at a time while adapting to changes in background, with a computational complexity that allows for real-time processing, having a low memory footprint and is robust to translational and rotational jitter.},

  doi          = {},

  journal      = {},
number       = ,

  volume       = ,

  place        = {United States},

  year         = {2017},

  month        = {3}

}

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