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 …

Detecting human beings accurately in a visual surveillance system is crucial for diverse
application areas including abnormal event detection, human gait characterization …

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 …

Optical microscopes have for centuries been our window to the microscopic world. The
advent of single-molecule optics over the past few decades has ushered in a new era in …

We present a comparative study of several state-of-the-art background subtraction methods.
Approaches ranging from simple background subtraction with global thresholding to more …

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 …

Foreground detection methods can be applied to efficiently distinguish foreground objects
including moving or static objects from background which is very important in the application …

Visual surveillance is an active research topic in image processing. Transit systems are
actively seeking new or improved ways to use technology to deter and respond to accidents …

We propose an effective online background subtraction method, which can be robustly
applied to practical videos that have variations in both foreground and background. Different …

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 …