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Motion-Aware Structured Matrix Factorization for Foreground Detection in Complex Scenes

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-3-319-10584-0_35openalex-snapshot
Robust Foreground Detection Using Smoothness and Arbitrariness Constraints
inferredcites →https://doi.org/10.1007/978-3-642-33786-4_10openalex-snapshot
A Probabilistic Approach to Robust Matrix Factorization
inferredcites →https://doi.org/10.1016/j.cosrev.2016.11.001openalex-snapshot
Decomposition into low-rank plus additive matrices for background/foreground separation: A review for a comparative evaluation with a large-scale dataset
inferredcites →https://doi.org/10.1016/j.cviu.2006.08.002openalex-snapshot
A survey of advances in vision-based human motion capture and analysis
inferredcites →https://doi.org/10.1016/j.cviu.2016.02.009openalex-snapshot
COROLA: A sequential solution to moving object detection using low-rank approximation
inferredcites →https://doi.org/10.1016/j.jvcir.2012.10.006openalex-snapshot
Fast image deconvolution using closed-form thresholding formulas of regularization
inferredcites →https://doi.org/10.1016/j.neucom.2018.02.101openalex-snapshot
Background subtraction with multi-scale structured low-rank and sparse factorization
inferredcites →https://doi.org/10.1016/j.patcog.2017.09.040openalex-snapshot
A deep convolutional neural network for video sequence background subtraction
inferredcites →https://doi.org/10.1016/j.patrec.2016.09.014openalex-snapshot
Interactive deep learning method for segmenting moving objects
inferredcites →https://doi.org/10.1016/j.rti.2004.12.004openalex-snapshot
Real-time foreground–background segmentation using codebook model
inferredcites →https://doi.org/10.1016/s0262-8856(02)00002-1openalex-snapshot
British Machine Vision Conference 1999
inferredcites →https://doi.org/10.1109/cvpr.1999.784637openalex-snapshot
Adaptive background mixture models for real-time tracking
inferredcites →https://doi.org/10.1109/cvprw.2012.6238925openalex-snapshot
Background segmentation with feedback: The Pixel-Based Adaptive Segmenter
inferredcites →https://doi.org/10.1109/icpr.2004.1333992openalex-snapshot
Improved adaptive Gaussian mixture model for background subtraction
inferredcites →https://doi.org/10.1109/icpr40739.2016openalex-snapshot
2016 23rd International Conference on Pattern Recognition (ICPR)
inferredcites →https://doi.org/10.1109/jproc.2002.801448openalex-snapshot
Background and foreground modeling using nonparametric kernel density estimation for visual surveillance
inferredcites →https://doi.org/10.1109/jstsp.2007.910264openalex-snapshot
A Douglas–Rachford Splitting Approach to Nonsmooth Convex Variational Signal Recovery
inferredcites →https://doi.org/10.1109/lsp.2017.2768582openalex-snapshot
${L_{1/2}}$ Norm and Spatial Continuity Regularized Low-Rank Approximation for Moving Object Detection in Dynamic Background
inferredcites →https://doi.org/10.1109/tcsvt.2015.2392491openalex-snapshot
Foreground–Background Separation From Video Clips via Motion-Assisted Matrix Restoration
inferredcites →https://doi.org/10.1109/tcsvt.2016.2632302openalex-snapshot
Spatiotemporal Low-Rank Modeling for Complex Scene Background Initialization
inferredcites →https://doi.org/10.1109/tcsvt.2017.2697972openalex-snapshot
Background Subtraction Using Spatio-Temporal Group Sparsity Recovery
inferredcites →https://doi.org/10.1109/tcsvt.2017.2711659openalex-snapshot
WeSamBE: A Weight-Sample-Based Method for Background Subtraction
inferredcites →https://doi.org/10.1109/tcyb.2015.2419737openalex-snapshot
Total Variation Regularized RPCA for Irregularly Moving Object Detection Under Dynamic Background
inferredcites →https://doi.org/10.1109/tip.2004.836169openalex-snapshot
Statistical Modeling of Complex Backgrounds for Foreground Object Detection
inferredcites →https://doi.org/10.1109/tip.2008.924285openalex-snapshot
A Self-Organizing Approach to Background Subtraction for Visual Surveillance Applications
inferredcites →https://doi.org/10.1109/tip.2009.2028250openalex-snapshot
Fast Gradient-Based Algorithms for Constrained Total Variation Image Denoising and Deblurring Problems
inferredcites →https://doi.org/10.1109/tip.2010.2101613openalex-snapshot
ViBe: A Universal Background Subtraction Algorithm for Video Sequences
inferredcites →https://doi.org/10.1109/tip.2011.2156801openalex-snapshot
Bayesian Robust Principal Component Analysis
inferredcites →https://doi.org/10.1109/tip.2014.2378053openalex-snapshot
SuBSENSE: A Universal Change Detection Method With Local Adaptive Sensitivity
inferredcites →https://doi.org/10.1109/tip.2015.2419084openalex-snapshot
Background Subtraction Based on Low-Rank and Structured Sparse Decomposition
inferredcites →https://doi.org/10.1109/tip.2016.2598691openalex-snapshot
Universal Background Subtraction Using Word Consensus Models
inferredcites →https://doi.org/10.1109/tip.2017.2695882openalex-snapshot
Universal Multimode Background Subtraction
inferredcites →https://doi.org/10.1109/tip.2017.2746268openalex-snapshot
Background–Foreground Modeling Based on Spatiotemporal Sparse Subspace Clustering
inferredcites →https://doi.org/10.1109/tip.2018.2874289openalex-snapshot
Moving Object Detection in Complex Scene Using Spatiotemporal Structured-Sparse RPCA
inferredcites →https://doi.org/10.1109/tnnls.2012.2197412openalex-snapshot
$L_{1/2}$ Regularization: A Thresholding Representation Theory and a Fast Solver
inferredcites →https://doi.org/10.1109/tpami.2006.68openalex-snapshot
A texture-based method for modeling the background and detecting moving objects
inferredcites →https://doi.org/10.1109/tpami.2009.112openalex-snapshot
Spatiotemporal Saliency in Dynamic Scenes
inferredcites →https://doi.org/10.1109/tpami.2012.132openalex-snapshot
Moving Object Detection by Detecting Contiguous Outliers in the Low-Rank Representation
inferredcites →https://doi.org/10.1109/tpami.2012.97openalex-snapshot
Simultaneous Video Stabilization and Moving Object Detection in Turbulence
inferredcites →https://doi.org/10.1109/tpami.2013.239openalex-snapshot
Background Subtraction with DirichletProcess Mixture Models
inferredcites →https://doi.org/10.1109/tpami.2014.2314663openalex-snapshot
Block-Sparse RPCA for Salient Motion Detection
inferredcites →https://doi.org/10.1109/tpami.2017.2745573openalex-snapshot
Foreground Segmentation with Tree-Structured Sparse RPCA
inferredcites →https://doi.org/10.1145/1236471.1236475openalex-snapshot
Segmentation and recognition of motion streams by similarity search
inferredcites →https://doi.org/10.1145/1970392.1970395openalex-snapshot
Robust principal component analysis?
inferredcites →https://doi.org/10.1145/3107956openalex-snapshot
Saliency Detection on Light Field
inferredcites →https://doi.org/10.1145/3131342openalex-snapshot
An Efficient Motion Detection and Tracking Scheme for Encrypted Surveillance Videos
inferredcites →https://doi.org/10.1186/s41074-017-0036-1openalex-snapshot
Sample-based integrated background subtraction and shadow detection
inferredcites →https://doi.org/10.1214/07-aoas131openalex-snapshot
Pathwise coordinate optimization
inferredcites →https://doi.org/10.2352/issn.2470-1173.2019.11.ipas-269openalex-snapshot
Background subtraction using Multi-Channel Fused Lasso
inferredcites →https://doi.org/10.48550/arxiv.1207.4676openalex-snapshot
Proceedings of the 29th International Conference on Machine Learning (ICML-12)
inferredcites →https://doi.org/10.5555/1953048.2078194openalex-snapshot
Structured Variable Selection with Sparsity-Inducing Norms
inferredcites →https://doi.org/10.5555/2319038.2320623openalex-snapshot
Statistical modeling of complex backgrounds for foreground object detection

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Incoming claims: where this work appears in other papers’ reference lists and arguments.

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inferred← citeshttps://doi.org/10.1016/j.displa.2024.102898openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.displa.2025.103002openalex-snapshot
Feature enhanced spherical transformer for spherical image compression
inferred← citeshttps://doi.org/10.1016/j.displa.2025.103060openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.displa.2025.103126openalex-snapshot
Multimodal learning with feature fusion transformer for image captioning
inferred← citeshttps://doi.org/10.1016/j.displa.2025.103130openalex-snapshot
Instance-level feature representation calibration for visual object detection
inferred← citeshttps://doi.org/10.1016/j.displa.2025.103173openalex-snapshot
Omnidirectional image quality assessment with gated dual-projection fusion
inferred← citeshttps://doi.org/10.1016/j.displa.2025.103179openalex-snapshot
Exploiting independent query information for few-shot image segmentation
inferred← citeshttps://doi.org/10.1016/j.displa.2025.103301openalex-snapshot
Industrial Park Anomaly Detection: A virtual-real dataset and an attention-enhanced YOLO model via knowledge distillation
inferred← citeshttps://doi.org/10.1016/j.dsp.2024.104863openalex-snapshot
Video foreground and background separation via Gaussian scale mixture and generalized nuclear norm based robust principal component analysis
inferred← citeshttps://doi.org/10.1016/j.eswa.2022.117947openalex-snapshot
ISAIR: Deep inpainted semantic aware image representation for background subtraction
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Proposal With Alignment: A Bi-Directional Transformer for 360° Video Viewport Proposal
inferred← citeshttps://doi.org/10.1109/tcsvt.2024.3509952openalex-snapshot
Gated Mechanism Attention Transformer Based on Wavelet Enhanced Optical Flow Field Estimation for Foreground Detection
inferred← citeshttps://doi.org/10.1109/tmm.2023.3306596openalex-snapshot
SVGC-AVA: 360-Degree Video Saliency Prediction With Spherical Vector-Based Graph Convolution and Audio-Visual Attention
inferred← citeshttps://doi.org/10.1109/tpami.2021.3122259openalex-snapshot
Iteratively Reweighted Minimax-Concave Penalty Minimization for Accurate Low-rank Plus Sparse Matrix Decomposition
inferred← citeshttps://doi.org/10.1145/3579998openalex-snapshot
Detection of Moving Object Using Superpixel Fusion Network
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