Traditional and recent approaches in background modeling for foreground detection: an overview
From MaRDI portal
Publication:2015048
DOI10.1016/j.cosrev.2014.04.001zbMath1296.68170OpenAlexW1988061476WikidataQ58215805 ScholiaQ58215805MaRDI QIDQ2015048
Publication date: 18 June 2014
Published in: Computer Science Review (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.cosrev.2014.04.001
background subtractionforeground detectionbackground modelingbackground initializationbackground maintenance
Research exposition (monographs, survey articles) pertaining to computer science (68-02) Machine vision and scene understanding (68T45)
Related Items (13)
Modified hybrid decomposition of the augmented Lagrangian method with larger step size for three-block separable convex programming ⋮ A survey on deep learning and its applications ⋮ An algorithm twisted from generalized ADMM for multi-block separable convex minimization models ⋮ Eigenbackground revisited: can we model the background with eigenvectors? ⋮ Atanassov's intuitionistic fuzzy histon for robust moving object detection ⋮ An improved total variation regularized RPCA for moving object detection with dynamic background ⋮ Background subtraction using adaptive singular value decomposition ⋮ Decomposition into low-rank plus additive matrices for background/foreground separation: a review for a comparative evaluation with a large-scale dataset ⋮ Dynamic background modeling using tensor representation and ant colony optimization ⋮ An extended proximal ADMM algorithm for three-block nonconvex optimization problems ⋮ Squeezing the DCT to fight camouflage ⋮ Moving objects detection with a moving camera: a comprehensive review ⋮ Alternating Direction Method of Multipliers for a Class of Nonconvex and Nonsmooth Problems with Applications to Background/Foreground Extraction
Uses Software
Cites Work
- Unnamed Item
- A framework for robust subspace learning
- On incremental and robust subspace learning
- Euler principal component analysis
- Robust PCA and subspace tracking from incomplete observations using \(\ell _0\)-surrogates
- Real-time adaptive foreground/background segmentation
- Robust background subtraction with foreground validation for urban traffic video
- Robust principal component analysis?
- Wavelet Multi-Scale Transform Based Foreground Segmentation and Shadow Elimination~!2008-10-11~!2008-10-30~!2008-11-28~!
- Signal Recovery From Random Measurements Via Orthogonal Matching Pursuit
- Learning a Scene Background Model via Classification
- $rm K$-SVD: An Algorithm for Designing Overcomplete Dictionaries for Sparse Representation
- Bayesian Robust Principal Component Analysis
- Canonical Correlation Analysis: An Overview with Application to Learning Methods
- Accurate On-line Support Vector Regression
- Robust PCA via Outlier Pursuit
- Robust Matrix Decomposition With Sparse Corruptions
- Independent Component Analysis-Based Background Subtraction for Indoor Surveillance
- Cooperative Object Tracking and Composite Event Detection With Wireless Embedded Smart Cameras
- Robust Principal Component Analysis Based on Maximum Correntropy Criterion
- Foreground Object Detection Using Top-Down Information Based on EM Framework
- Learning with Structured Sparsity
This page was built for publication: Traditional and recent approaches in background modeling for foreground detection: an overview
