Computer vision applications based on videos often require the detection of moving objects
in their first step. Background subtraction is then applied in order to separate the background …

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 …

Background subtraction (BS) is a crucial step in many computer vision systems, as it is first
applied to detect moving objects within a video stream. Many algorithms have been …

Mixture of Gaussians is a widely used approach for background modeling to detect moving
objects from static cameras. Numerous improvements of the original method developed by …

Background modeling is currently used to detect moving objects in video acquired from
static cameras. Numerous statistical methods have been developed over the recent years …

During about 30 years, a lot of research teams have worked on the big challenge of
detection of moving objects in various challenging environments. First applications concern …

The BGSLibrary provides a free easy-to-use C++ open source framework to perform
background subtraction (BGS). Currently the library provides 29 BGS algorithms. In this work …

Background modeling and foreground detection are important steps in video processing
used to detect robustly moving objects in challenging environments. This requires effective …

Driver face monitoring system is a real‐time system that can detect driver fatigue and
distraction using machine vision approaches. In this paper, a new approach is introduced for …

Background modeling is often used in the context of moving objects detection from static
cameras. Numerous methods have been developed over the recent years and the most …