Dynamic mode decomposition via dictionary learning for foreground modeling in videos-Reference-Cited by-同舟云学术

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Dynamic mode decomposition via dictionary learning for foreground modeling in videos

Published:2020-10 Issue: Volume:199 Page:103022
ISSN:1077-3142
Container-title:Computer Vision and Image Understanding
language:en
Short-container-title:Computer Vision and Image Understanding

Author:

Ul Haq Israr,Fujii Keisuke,Kawahara Yoshinobu

Funder

Japan Society for the Promotion of Science

Japan Science and Technology Agency

Publisher

Elsevier BV

Subject

Computer Vision and Pattern Recognition,Signal Processing,Software

Reference52 articles.

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2. rmk-SVD: An algorithm for designing overcomplete dictionaries for sparse representation;Aharon;IEEE Trans. Signal Process.,2006

3. A fast iterative shrinkage-thresholding algorithm for linear inverse problems;Beck;SIAM J. Imaging Sci.,2009

4. Deep neural network concepts for background subtraction: A systematic review and comparative evaluation;Bouwmans;Neural Netw.,2019

5. Decomposition into low-rank plus additive matrices for background/foreground separation: A review for a comparative evaluation with a large-scale dataset;Bouwmans;Comp. Sci. Rev.,2017

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1. Multivariate Dynamic Mode Decomposition and Its Application to Bearing Fault Diagnosis;IEEE Sensors Journal;2023-04-01

2. Efficient and Robust Background Modeling with Dynamic Mode Decomposition;Journal of Mathematical Imaging and Vision;2022-02-24

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4. Dynamic mode decomposition of magnetohydrodynamic bubble chain flow in a rectangular vessel;Physics of Fluids;2021-08

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