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Title: Incremental principal component pursuit for video background modeling

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:
;
Publication Date:
Research Org.:
Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
Sponsoring Org.:
USDOE
OSTI Identifier:
1346950
Patent Number(s):
9,595,112
Application Number:
14/722,651
Assignee:
STC.UNM LANL
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.
Rodriquez-Valderrama, Paul A., & Wohlberg, Brendt. Incremental principal component pursuit for video background modeling. United States.
Rodriquez-Valderrama, Paul A., and Wohlberg, Brendt. Tue . "Incremental principal component pursuit for video background modeling". United States. doi:. https://www.osti.gov/servlets/purl/1346950.
@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 = {Tue Mar 14 00:00:00 EDT 2017},
month = {Tue Mar 14 00:00:00 EDT 2017}
}

Patent:

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