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Background Modeling and Foreground Detection for Video Surveillance

https://doi.org/10.1201/b17223
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What this work says

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

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Non-parametric Model for Background Subtraction
inferredcites →https://doi.org/10.1007/978-0-85729-997-0openalex-snapshot
Visual Analysis of Humans: Looking at People
inferredcites →https://doi.org/10.1007/978-3-642-28661-2_5openalex-snapshot
Real-Time Human Pose Recognition in Parts from Single Depth Images
inferredcites →https://doi.org/10.1016/j.patcog.2006.05.024openalex-snapshot
A consensus-based method for tracking: Modelling background scenario and foreground appearance
inferredcites →https://doi.org/10.1016/j.patrec.2004.07.013openalex-snapshot
A practical adaptive approach for dynamic background subtraction using an invariant colour model and object tracking
inferredcites →https://doi.org/10.1016/j.rti.2004.12.004openalex-snapshot
Real-time foreground–background segmentation using codebook model
inferredcites →https://doi.org/10.1109/avss.2006.44openalex-snapshot
Dynamic Control of Adaptive Mixture-of-Gaussians Background Model
inferredcites →https://doi.org/10.1109/avss.2008.19openalex-snapshot
Evaluation of Background Subtraction Algorithms with Post-Processing
inferredcites →https://doi.org/10.1109/cvpr.1999.784637openalex-snapshot
Adaptive background mixture models for real-time tracking
inferredcites →https://doi.org/10.1109/cvpr.2011.5995508openalex-snapshot
Evaluation of background subtraction techniques for video surveillance
inferredcites →https://doi.org/10.1109/cvprw.2012.6238919openalex-snapshot
Changedetection.net: A new change detection benchmark dataset
inferredcites →https://doi.org/10.1109/cvprw.2012.6238924openalex-snapshot
Background subtraction: Experiments and improvements for ViBe
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/icassp.2009.4959741openalex-snapshot
ViBE: A powerful random technique to estimate the background in video sequences
inferredcites →https://doi.org/10.1109/icip.2012.6467089openalex-snapshot
A stochastic learning algorithm for pixel-level background models
inferredcites →https://doi.org/10.1109/icpr.2008.4760998openalex-snapshot
Review and Evaluation of Commonly-Implemented Background Subtraction Algorithms
inferredcites →https://doi.org/10.1109/sitis.2011.49openalex-snapshot
Local Jet Feature Space Framework for Image Processing and Representation
inferredcites →https://doi.org/10.1109/ssiai.2012.6202474openalex-snapshot
A conservative scene model update policy
inferredcites →https://doi.org/10.1109/tcsvt.2008.918543openalex-snapshot
Statistical Background Subtraction Using Spatial Cues
inferredcites →https://doi.org/10.1109/tip.2004.838698openalex-snapshot
Image change detection algorithms: a systematic survey
inferredcites →https://doi.org/10.1109/tpami.2003.1233909openalex-snapshot
Detecting moving objects, ghosts, and shadows in video streams
inferredcites →https://doi.org/10.1142/9789814273398_0008openalex-snapshot
STATISTICAL BACKGROUND MODELING FOR FOREGROUND DETECTION: A SURVEY
inferredcites →https://doi.org/10.1145/1099396.1099407openalex-snapshot
Bayesian background modeling for foreground detection
inferredcites →https://doi.org/10.21090/ijaerd.43259openalex-snapshot
VIBE: A UNIVERSAL BACKGROUND SUBTRACTION ALGORITHM FOR VIDEO SEQUENCES
inferredcites →https://doi.org/10.2174/2213275910801010032openalex-snapshot
Moving Object Detection in Spatial Domain using Background Removal Techniques - State-of-Art
inferredcites →https://doi.org/10.2307/2288754openalex-snapshot
Probability, Random Variables, and Stochastic Processes.
inferredcites →https://doi.org/10.5281/zenodo.43174openalex-snapshot
Multimode Spatiotemporal Background Modeling For Complex Scenes

What points at this work

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

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Background Modeling for Video Sequences by Stacked Denoising Autoencoders
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Traffic Sensing and Assessing in Digital Transportation Systems
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Background Modeling by Shifted Tilings of Stacked Denoising Autoencoders
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Foreground Segmentation Improvement by Image Denoising Preprocessing Applied to Noisy Video Sequences
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Layered Controllable Video Generation
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History Based Incremental Singular Value Decomposition for Background Initialization and Foreground Segmentation
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Fuzzy Logic Based Human Activity Recognition in Video Surveillance Applications
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FPGA Implementation of the Flux Tensor Moving Object Detection Method
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Foreground Segmentation via Dynamic Tree-Structured Sparse RPCA
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A Novel Definition of Robustness for Image Processing Algorithms
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Foreground Detection Using Region of Interest Analysis Based on Feature Points Processing
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Video Analytics on a Mixed Network of Robust Cameras with Processing Capabilities
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Challenging Issues of Video Surveillance System Using Internet of Things in Cloud Environment
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Recommendations for evaluating the performance of background subtraction algorithms for surveillance systems
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inferred← citeshttps://doi.org/10.3390/s22207720openalex-snapshot
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inferred← citeshttps://doi.org/10.3390/su8100916openalex-snapshot
GPU-Accelerated Foreground Segmentation and Labeling for Real-Time Video Surveillance
inferred← citeshttps://doi.org/10.34010/komputika.v8i2.2194openalex-snapshot
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inferred← citeshttps://doi.org/10.35537/10915/61164openalex-snapshot
Computer Science & Technology Series
inferred← citeshttps://doi.org/10.35596/1729-7648-2019-125-7-121-128openalex-snapshot
COMPLEXING IMAGES IN A TWO-CHANNEL OPTICAL-ELECTRONIC SYSTEM AS A METHOD OF REDUCING THE PROBABILITY OF DISAPPOINTING AN AUTOMATIC SURVEILLANCE OF LOW CONTRAST OBJECTS
inferred← citeshttps://doi.org/10.3991/ijoe.v17i02.18013openalex-snapshot
Review on Real Time Background Extraction: Models, Applications, Environments, Challenges and Evaluation Approaches
inferred← citeshttps://doi.org/10.4018/978-1-5225-1022-2.ch002openalex-snapshot
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inferred← citeshttps://doi.org/10.4018/978-1-5225-5204-8.ch049openalex-snapshot
Measures of Image and Video Segmentation
inferred← citeshttps://doi.org/10.4067/s0718-07642019000200143openalex-snapshot
Un Enfoque para Aplicar la Visión por Computador en el Control de Calidad de Refrigeradores sobre la Línea de Ensamble
inferred← citeshttps://doi.org/10.47000/tjmcs.1002767openalex-snapshot
Vehicle Detection from Aerial Images with Object and Motion Detection
inferred← citeshttps://doi.org/10.47750/pnr.2022.13.s04.220openalex-snapshot
Foreground Detection in Dynamic Scenes using Robust Principal Component Analysis in comparison with Gaussian Mixture Model to measure F-score
inferred← citeshttps://doi.org/10.48550/arxiv.1801.06593openalex-snapshot
A Foreground Inference Network for Video Surveillance Using Multi-View Receptive Field
inferred← citeshttps://doi.org/10.48550/arxiv.1811.08597openalex-snapshot
Randomized Rank-Revealing UZV Decomposition for Low-Rank Approximation of Matrices
inferred← citeshttps://doi.org/10.48550/arxiv.2111.12747openalex-snapshot
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inferred← citeshttps://doi.org/10.5772/intechopen.105959openalex-snapshot
Surveillance with UAV Videos
inferred← citeshttps://doi.org/10.70675/22295f1fzfba7z46dbz93d6z30cc115ee3d1openalex-snapshot
A new strategy for change detection in SAR time-series : application to target detection
inferred← citeshttps://doi.org/10.70675/4949fe39z2d37z4b7dza42cz1d26a43a5401openalex-snapshot
Réseaux neuronaux en graphes inductifs Application à la surveillance Passive Visuelle et Acoustique
inferred← citeshttps://doi.org/10.70675/5a14ae09z578cz4eb6za115z060e68b86afeopenalex-snapshot
Un système de récupération et de classification d’images extraites des caméras de vidéo-surveillance
inferred← citeshttps://doi.org/10.70675/6f1a76a7zb534z4d4ez9910z0ec1e009d900openalex-snapshot
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inferred← citeshttps://doi.org/10.70675/7ab7bdcaz195dz46b3za0fbzd2d59e731133openalex-snapshot
Graph-based Algorithms in Computer Vision, Machine Learning, and Signal Processing
inferred← citeshttps://doi.org/10.70675/84bbc849z796ez466ez9dddz409826f30f09openalex-snapshot
Image processing for segregation in bedload sediment transport : morphology and tracking
inferred← citeshttps://doi.org/10.70675/9ea7267fzbc30z4baaz8d68z24f395327e91openalex-snapshot
Vision par ordinateur poursuivi automatique et caracterisation decomportement de civelles
inferred← citeshttps://doi.org/10.70675/a703958bzef2fz455cz8f5ez3f8725dd2a0copenalex-snapshot
Feature extraction and selection for background modeling and foreground detection
inferred← citeshttps://doi.org/10.7146/aul.277.192openalex-snapshot
TractorEYE: Vision-based Real-time Detection for Autonomous Vehicles in Agriculture
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