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 …

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 …

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 subtraction is one of the key techniques for automatic video analysis, especially
in the domain of video surveillance. Although its importance, evaluations of recent …

In order to effectively identify and classify weld defects of thin-walled metal canisters, a weld
defect detection and classification algorithm based on machine vision is proposed in this …

Motion detection plays an important role in most video based applications. One of the many
possible ways to detect motion consists in background subtraction. This paper discusses …

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 …

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 …

Understanding human behaviors is a challenging problem in computer vision that has
recently seen important advances. Human behavior understanding combines image and …