In automatic video surveillance applications, one of the most popular topics consists of
separating the moving objects from the static part of the scene. In this context, Gaussian …

In order to detect moving objects such as vehicles in motorways, background subtraction
techniques are commonly used. This is completely solved problem for static backgrounds …

Moving objects extraction is a crucial part of video surveillance system. This paper presents
a foreground-background algorithm for motion detection. It is based on traditional adaptive …

Usually, the video based moving object detection deal with non-stationary image stream that
changes over time. Robust and Real time moving object tracking is a problematic issue in …

Identifying any moving object is essential for wide-area surveillance systems and security
applications. In this paper, we present a moving object detection method based on …

Modeling background and moving objects are significant techniques for video surveillance
and other video processing applications. This paper presents a foreground detection …

Detection of a moving object in a non-stationary scene is a very critical and challenging step
for visual surveillance applications. Background subtraction (BS) is a widely used algorithm …

Moving object detection is one of the most important tasks in intelligent visual surveillance
systems. Gaussian Mixture Model (GMM) has been most widely used for moving object …

A new method is proposed to improve background modeling speed. First, the pixels in
current frame are classified into two classes according to average background to reduce the …

In order to detect moving objects from video sequences with complex background, we
propose an algorithm which is based on running average background modeling and …