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MRKDSBC: A Distributed Background Modeling Algorithm Based on MapReduce
Springer Verlag | 2012|Keywords: background modeling -
Background Modeling from Surveillance Video Using Rank Minimization
Springer Verlag | 2012|Keywords: Background modeling -
Target Detection Based on Kernel Density Estimation Combined with Correlation Coefficient
Springer Verlag | 2013|Keywords: background modeling -
Spatiotemporal Background Subtraction Using Minimum Spanning Tree and Optical Flow
Free accessSpringer Verlag | 2014|Keywords: Background Modeling -
A Background Modeling Scheme Based on High Efficiency Motion Classification for Surveillance Video Coding
Springer Verlag | 2014|Keywords: background modeling -
Adaptive Background Modeling for Land and Water Composition Scenes
Free accessSpringer Verlag | 2015|Keywords: Background Modeling -
Comparison of Matrix Completion Algorithms for Background Initialization in Videos
Free accessSpringer Verlag | 2015|Keywords: Background modeling -
Background Modeling by Weightless Neural Networks
Free accessSpringer Verlag | 2015|Keywords: Background Modeling -
Hole Filling Algorithm Using Spatial-Temporal Background Depth Map for View Synthesis in Free View Point Television
Springer Verlag | 2015|Keywords: Background modeling -
An Efficient Non-parametric Background Modeling Technique with CUDA Heterogeneous Parallel Architecture
Springer Verlag | 2015|Keywords: Background Modeling -
Block-Based Global and Multiple-Reference Scheme for Surveillance Video Coding
Springer Verlag | 2015|Keywords: Background modeling -
Adaptive Foreground Extraction for Crowd Analytics Surveillance on Unconstrained Environments
Springer Verlag | 2015|Keywords: Background Modeling Algorithm -
Real-Time Understanding of Abnormal Crowd Behavior on Social Robots
Springer Verlag | 2015|Keywords: Background modeling -
The effect of noise on foreground detection algorithms
Online Contents | 2016|Keywords: Background modeling -
The effect of noise on foreground detection algorithms
Online Contents | 2016|Keywords: Background modeling -
The effect of noise on foreground detection algorithms
Springer Verlag | 2016|Keywords: Background modeling -
Fusion of Foreground Object, Spatial and Frequency Domain Motion Information for Video Summarization
Springer Verlag | 2016|Keywords: Background modeling -
Moving Object Detection with ViBe and Texture Feature
Springer Verlag | 2016|Keywords: Background modeling -
Edge Detection in Time Variant Scenarios Based on a Novel Perceptual Method and a Gestalt Spiking Cortical Model
Springer Verlag | 2016|Keywords: Background modeling -
Review of background subtraction methods using Gaussian mixture model for video surveillance systems
Online Contents | 2017|Keywords: Background modeling
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