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 …

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 …

This paper presents a technique for motion detection that incorporates several innovative
mechanisms. For example, our proposed technique stores, for each pixel, a set of values …

The detection of bad weather conditions is crucial for meteorological centers, specially with
demand for air, sea and ground traffic management. In this article, a system based on …

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

Automatic moving object detection has gained increased research interest due to its
widespread applications like security provision, traffic monitoring, and various types of …

This paper presents a fast and reliable method for moving object detection with moving
cameras (including pan–tilt–zoom and hand-held cameras). Instead of building large …

A crucial step in designing intelligent transport systems (ITS) is vehicle detection. The
challenges of vehicle detection in urban roads arise because of camera position …

One of the most widely used techniques in computer vision for foreground detection is to
model each background pixel as a Mixture of Gaussians (MoG). While this is effective for a …

As the technology is advancing with rapid pace, the cost of video cameras and digital media
storage is affordable. In recent years, we have seen a remarkable increase in the amount of …