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 …

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 …

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 …

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

Background Subtraction for Visual Surveillance Page 1 5 Background Subtraction for Visual
Surveillance: A Fuzzy Approach Thierry Bouwmans University of La Rochelle, La Rochelle …

This paper presents a video-based approach to detect the presence of parked vehicles in
street lanes. Potential applications include the detection of illegally and double-parked …

According to the rapid spread of multimedia data and online observations by users, the
importance of researching on machine vision also, analyzing and automatic understanding …

We propose a novel pixel-modeling approach for background subtraction using histograms
based on strong uniform fuzzy partitions. In the proposed method, the temporal distribution …

Robust detection of moving objects from video sequences is an important task in machine
vision systems and applications. To detect moving objects, accurate background subtraction …

Information on integrating soft computing techniques into video surveillance is widely
scattered among conference papers, journal articles, and books. Bringing this research …