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Moving Object Detection in Spatial Domain using Background Removal Techniques - State-of-Art
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Outgoing claims: the papers this work cites, builds on, or argues with.
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Adaptive mixture density estimation
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Statistical model-based change detection in moving video
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Three-dimensional image segmentation using a split, merge and group approach
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A new method for gray-level picture thresholding using the entropy of the histogram
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Illumination independent change detection for real world image sequences
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Bayesian algorithms for adaptive change detection in image sequences using Markov random fields
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Detection and description of moving objects by stochastic modelling and analysis of complex scenes
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Edge evaluation using necessary components
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A noise robust method for 2D shape estimation of moving objects in video sequences considering a moving camera
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Automatic moving object and background separation
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Evaluation of global image thresholding for change detection
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Analysis of gray level corner detection
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Image registration methods: a survey
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Tracking multiple vehicles using foreground, background and motion models
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A survey of medical image registration
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Multivariate Density Estimation, Theory, Practice, and Visualbation
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Pfinder: real-time tracking of the human body
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Efficient region tracking with parametric models of geometry and illumination
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Direct least square fitting of ellipses
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Statistical change detection with moments under time-varying illumination
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Speaker adaptation using combined transformation and Bayesian methods
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Background Subtraction Using Markov Thresholds
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W/sup 4/: Who? When? Where? What? A real time system for detecting and tracking people
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Using adaptive tracking to classify and monitor activities in a site
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Background modeling for segmentation of video-rate stereo sequences
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Adaptive background mixture models for real-time tracking
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Background estimation and removal based on range and color
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Edge detector evaluation using empirical ROC curves
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Efficient non-parametric adaptive color modeling using fast Gauss transform
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Evaluation of local models of dynamic backgrounds
inferredcites →https://doi.org/10.1109/cvpr.2004.1315179openalex-snapshot
Motion-based background subtraction using adaptive kernel density estimation
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A Bayesian Approach to Background Modeling
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Foreground segmentation using adaptive mixture models in color and depth
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Illumination-invariant change detection
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Real-time adaptive background segmentation
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Segmenting foreground objects from a dynamic textured background via a robust Kalman filter
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Background modeling and subtraction of dynamic scenes
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ROC curves for performance evaluation of video sequences processing systems for surveillance applications
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Objective evaluation of relative segmentation quality
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Improved versions of learning vector quantization
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Change detection based on color edges
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Automatic congestion detection system for underground platforms
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Toward large-area mosaicing for underwater scientific applications
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Efficient kernel density estimation using the fast gauss transform with applications to color modeling and tracking
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Background Initialization with A New Robust Statistical Approach
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Video object extraction based on adaptive background and statistical change detection
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Robust techniques for background subtraction in urban traffic video
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Mixture Densities, Maximum Likelihood and the EM Algorithm
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A survey of image registration techniques
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Multi-level background initialization using Hidden Markov Models
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A Novel Method for Video Tracking Performance Evaluation
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Robust Regression and Outlier Detection
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Image Segmentation in Video Sequences: A Probabilistic Approach
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Bayesian Spatio-Temporal Motion Detection Under Varying Illumination
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Objective Evaluation Of Segmentation Masks In Video Sequences
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Estimation Of Video Object Relevance
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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A scene-adaptive motion detection model based on machine learning and data clustering
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Automatic moving object segmentation methods under varying illumination conditions for video data: comparative study, and an improved method
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Foreground segmentation with PTZ camera: a survey
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Comparative study of illumination-invariant foreground detection
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Camera sensor-based contamination detection for water environment monitoring
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Real-time background generation and foreground object segmentation for high-definition colour video stream in FPGA device
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Low-cost dedicated hardware IP modules for background subtraction in embedded vision systems
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Multimodal background subtraction for high-performance embedded systems
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Neighborhood-level learning techniques for nonparametric scene models
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A combination of background modeler and encoder-decoder CNN for background/foreground segregation in image sequence
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Moving object detection in satellite videos based on an improved ViBe algorithm
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Cast shadow detection for moving objects based on binocular stereo vision
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Ensemble-based Deep Feature Extraction using Pre-trained CNNs for Black Pepper Leaf Disease and Nutrient Deficiency Detection and Classification: BPLDNDNet
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Improved visual background extractor with adaptive range change
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Recognition and tracking of moving objects in the images captured by UAV intelligently in earth observation operations
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Video concept detection by audio-visual grouplets
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Cauchy Mixture Model-based Foreground Object Detection with New Dynamic Learning Rate Using Spatial and Statistical information for Video Surveillance Applications
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Spatio-temporal context for codebook-based dynamic background subtraction
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Integrating clustering with LSTM diffusion for video anomaly detection
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Traditional and recent approaches in background modeling for foreground detection: An overview
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Moving objects detection with a moving camera: A comprehensive review
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A semantic-based probabilistic approach for real-time video event recognition
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A novel background subtraction method based on color invariants
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The 3dSOBS+ algorithm for moving object detection
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A self-adaptive Gaussian mixture model
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Detection of stationary foreground objects: A survey
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Texture collinearity foreground segmentation for night videos
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An improved scheme for multifeature-based foreground detection using challenging conditions
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Background Modeling in Compressed Sensing Scheme
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An ant-based stochastic searching behavior parameter estimate algorithm for multiple cells tracking
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Synthetic image generation for effective deep learning model training for ceramic industry applications
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Long-range nighttime dynamic monitoring of long-span cable-stayed bridge with the enhanced bokeh tracking method using closing operation and Long Short-term Memory networks
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Maritime surveillance: Tracking ships inside a dynamic background using a fast level-set
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Intelligent video surveillance beyond robust background modeling
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An adaptive background extraction method in traffic scenes
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Multispectral imaging: Monitoring vulnerable people
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Co-occurrence spatial–temporal model for adaptive background initialization in high-dynamic complex scenes
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Improved background modeling for real-time spatio-temporal non-parametric moving object detection strategies
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Background modeling using Object-based Selective Updating and Correntropy adaptation
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Moving object detection and segmentation in urban environments from a moving platform
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Statistical feature bag based background subtraction for local change detection
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An automatic ANN-based procedure for detecting optimal image sequences supporting LS-PIV applications for rivers monitoring
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Video-based lateral vibration characteristics extraction in operational rotor systems
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Spatially correlated background subtraction, based on adaptive background maintenance
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Auto-Adaptive Parallel SOM Architecture with a modular analysis for dynamic object segmentation in videos
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Object detection based on a robust and accurate statistical multi-point-pair model
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A nonparametric Riemannian framework on tensor field with application to foreground segmentation
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Co-occurrence probability-based pixel pairs background model for robust object detection in dynamic scenes
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Background modeling by subspace learning on spatio-temporal patches
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Accurate spatio-temporal reconstruction of missing data in dynamic scenes
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Temporal weighted learning model for background estimation with an automatic re-initialization stage and adaptive parameters update
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Survey on Background Modeling and Foreground Detection for Real Time Video Surveillance
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Background Modeling Method Based On Quad Tree Decomposition and Contrast Measure
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A Background Foreground Competitive Model for Background Subtraction in Dynamic Background
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Foreground detection based on co-occurrence background model with hypothesis on degradation modification in dynamic scenes
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Background modeling methods in video analysis: A review and comparative evaluation
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High-quality real-time moving object detection by non-parametric segmentation
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Effective background modelling and subtraction approach for moving object detection
inferred← citeshttps://doi.org/10.1049/iet-ipr.2012.0734openalex-snapshot
Segmentation of sows in farrowing pens
inferred← citeshttps://doi.org/10.1049/iet-ipr.2013.0169openalex-snapshot
Stabilising illumination variations in motion detection for surveillance applications
inferred← citeshttps://doi.org/10.1063/1.4942749openalex-snapshot
Remote monitoring and security alert based on motion detection using mobile
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Detection of moving objects by background subtraction for foreground detection-a hybrid CNN-Viola-Jones model
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A review of silhouette extraction algorithms for use within visual hull pipelines
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Segmenting moving objects from a freely moving camera with an effective segmentation cue
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Technique to model the movement of the scene using image sequence
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Object Detection and Classification for Autonomous Vehicle
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An effective foreground segmentation using adaptive region based background modelling
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A framework for moving object segmentation under rapidly changing illumination conditions in complex wavelet domain
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Background Subtraction Using Dominant Directional Pattern
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Dependent Motion Segmentation in Moving Camera Videos: A Survey
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A Method to Automatic Create Dataset for Training Object Detection Neural Networks
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Real-Time Moving Object Detection for Video Surveillance
inferred← citeshttps://doi.org/10.1109/avss.2010.45openalex-snapshot
Accurate and Efficient Background Subtraction by Monotonic Second-Degree Polynomial Fitting
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A Safe Fault Tolerant Multi-view Approach for Vision-Based Protective Devices
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Background subtraction by non-parametric probabilistic clustering
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Superpixel-based segmentation of moving objects for low bitrate ROI coding systems
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Tracking Targets in Sea Surface with the WiSARD Weightless Neural Network
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Target detection via statistical model learning
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Data Augmentation Based on 3D Model Data for Machine Learning
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Text Secret Sharing Scheme Based on Shamir Polynomials
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Vision Based Tracking of Multiple Dynamic Obstacles for Autonomous Robot Navigation
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Weight estimation from frame sequences using computational intelligence techniques
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Advanced background elimination in digital holographic microscopy
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Real-time background subtraction for video surveillance: From research to reality
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Evaluation of background subtraction techniques for video surveillance
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Foreground detection using spatiotemporal projection kernels
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Spatio-Temporal Self-Organizing Map Deep Network for Dynamic Object Detection from Videos
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Fuzzy statistical modeling of dynamic backgrounds for moving object detection in infrared videos
inferred← citeshttps://doi.org/10.1109/cvprw.2012.6238922openalex-snapshot
The SOBS algorithm: What are the limits?
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Background subtraction: Experiments and improvements for ViBe
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Real-time moving object detection for video surveillance system in FPGA
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Depth-directed hardware object detection
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Towards Edge Computing over Named Data Networking
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FPGA-Accelerated Object Detection Using Edge Information
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A novel improved ViBe algorithm to accelerate the ghost suppression
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Fuzzy integral for moving object detection
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The Implementation of Traffic Analytics Using Deep Learning and Big Data Technology with Garuda Smart City Framework
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Scene-adaptive Moving Detection with Machine Learning Based on Clustering
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Adaptive ViBe background model for vehicle detection
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Development of Tracking and Control System Based on Computer Vision for RoboMaster Competition Robot
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Background subtraction method using codebook-GMM model
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An improved motion detection algorithm using ViBe
inferred← citeshttps://doi.org/10.1109/icce.2013.6486778openalex-snapshot
GPGPU implementation of an improved nonparametric background modeling for moving object detection strategies
inferred← citeshttps://doi.org/10.1109/icce.2014.6776098openalex-snapshot
High-quality region-based foreground segmentation using a spatial grid of SVM classifiers
inferred← citeshttps://doi.org/10.1109/iccta32607.2013.9529422openalex-snapshot
Hybrid Moving Object Detection Algorithm with Controlled Temporal Scale Frame Difference
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An Improved ViBe Algorithm Based on Visual Saliency
inferred← citeshttps://doi.org/10.1109/icctec.2017.00239openalex-snapshot
Target Detection Based on Binocular Stereo Vision
inferred← citeshttps://doi.org/10.1109/iccv.2011.6126218openalex-snapshot
A nonparametric Riemannian framework on tensor field with application to foreground segmentation
inferred← citeshttps://doi.org/10.1109/iccvw.2011.6130461openalex-snapshot
Multi-scale multi-feature codebook-based background subtraction
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Self-adaptive Gaussian mixture model for urban traffic monitoring system
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Mobile device combine the study of image track and surveillance monitor system
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Abnormal Action detection in video surveillance
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Iot Based Surveillance System Using Comparative Analysis of Different Threshold Algorithms for Motion Detection Using Raspberry PI
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An appearance based human motion tracker
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Comparative Analysis and Implementation of Different Human Detection Techniques
inferred← citeshttps://doi.org/10.1109/icip.2010.5650047openalex-snapshot
Robust and efficient background subtraction by quadratic polynomial fitting
inferred← citeshttps://doi.org/10.1109/icip.2010.5653489openalex-snapshot
Tracking-based non-parametric background-foreground classification in a chromaticity-gradient space
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Aircraft push back direction indicator
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Summarizing The Performances Of A Background Subtraction Algorithm Measured On Several Videos
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Robust Hybrid Foreground Detection and Adaptive Background Model
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Enhanced dynamic background updating MOD algorithm for harsh environmental conditions
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A background extraction and shadow removal algorithm based on clustering for ViBe
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Human detection in public environment using GHOG: Gaussian of mixtures &Histogram of Oriented Gradients
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Split procedure combined with entropy for background model
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Notice of Removal: Target Detection Based on Binocular Stereo Vision
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CNN-based initial background estimation
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Scene background estimation based on temporal median filter with Gaussian filtering
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Robust region extraction of moving objects in dynamic background
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Background Subtraction via 3D Convolutional Neural Networks
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Comparative analysis of Background Subtraction techniques and applications
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Efficient detection tracking of multiple moving objects in temporal domain
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Multi-pose head tracking using colour and edge features fuzzy aggregation for driver assistant system
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Improved Post-Processing for Human Detection in Railroad Surveillance
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Location estimation in a maritime environment using a monocular camera
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A real-time motion detection for video surveillance system
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Moving Object Detection Based on Clustering and Event-Based Camera
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Comparison study between different automatic threshold algorithms for motion detection
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