Conventional neural networks have been demonstrated to be a powerful framework for
background subtraction in video acquired by static cameras. Indeed, the well-known Self …

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 …

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 …

Given a set of images of a scene taken at different times, the availability of an initial
background model that describes the scene without foreground objects is the prerequisite …

The paper provides a specific perspective view on background subtraction for moving object
detection, as a building block for many computer vision applications, being the first relevant …

The availability of an initial background model that describes the scene without foreground
objects is the prerequisite for a wide range of applications, ranging from video surveillance …

Scene background initialization is the process by which a method tries to recover the
background image of a video without foreground objects in it. Having a clear understanding …

The complementary nature of color and depth synchronized information acquired by low
cost RGBD sensors poses new challenges and design opportunities in several applications …

Background model initialization is commonly the first step of the background subtraction
process. In practice, several challenges appear and perturb this process, such as dynamic …

Given a video sequence acquired with a fixed camera, the generation of the stationary
background of the scene is a challenging problem which aims at computing a reference …