Traditional and recent approaches in background modeling for foreground detection: An overview
T Bouwmans - Computer science review, 2014 - Elsevier
Background modeling for foreground detection is often used in different applications to
model the background and then detect the moving objects in the scene like in video …
model the background and then detect the moving objects in the scene like in video …
On the role and the importance of features for background modeling and foreground detection
Background modeling has emerged as a popular foreground detection technique for various
applications in video surveillance. Background modeling methods have become increasing …
applications in video surveillance. Background modeling methods have become increasing …
[ΒΙΒΛΙΟ][B] Moving object detection using background subtraction
Background subtraction is a widely used approach for detecting moving objects from videos
captured with static a camera. This chapter introduces the basic concept behind this …
captured with static a camera. This chapter introduces the basic concept behind this …
Review of background subtraction methods using Gaussian mixture model for video surveillance systems
K Goyal, J Singhai - Artificial Intelligence Review, 2018 - Springer
Foreground detection or moving object detection is a fundamental and critical task in video
surveillance systems. Background subtraction using Gaussian Mixture Model (GMM) is a …
surveillance systems. Background subtraction using Gaussian Mixture Model (GMM) is a …
Background subtraction for dynamic texture scenes using fuzzy color histograms
Background subtraction is a very popular approach for detecting moving objects from a still
scene. For this, most of previous methods depend on the assumption that the background is …
scene. For this, most of previous methods depend on the assumption that the background is …
Detection of moving objects using fuzzy color difference histogram based background subtraction
Detection of moving objects in the presence of complex scenes such as dynamic
background (eg, swaying vegetation, ripples in water, spouting fountain), illumination …
background (eg, swaying vegetation, ripples in water, spouting fountain), illumination …
A visual-numeric approach to clustering and anomaly detection for trajectory data
This paper proposes a novel application of Visual Assessment of Tendency (VAT)-based
hierarchical clustering algorithms (VAT, iVAT, and clusiVAT) for trajectory analysis. We …
hierarchical clustering algorithms (VAT, iVAT, and clusiVAT) for trajectory analysis. We …
Kernel-induced possibilistic fuzzy associate background subtraction for video scene
The background subtraction (BGS) technique is popularly used for many surveillance
systems, segmenting the foreground by subtracting the modeled background from the image …
systems, segmenting the foreground by subtracting the modeled background from the image …
Spatiotemporal saliency detection using textural contrast and its applications
Saliency detection has been extensively studied due to its promising contributions for
various computer vision applications. However, most existing methods are easily biased …
various computer vision applications. However, most existing methods are easily biased …
A nonparametric Riemannian framework on tensor field with application to foreground segmentation
Background modeling on tensor field has recently been proposed for foreground detection
tasks. Taking into account the Riemannian structure of the tensor manifold, recent research …
tasks. Taking into account the Riemannian structure of the tensor manifold, recent research …