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/foreground separation is the first step in video surveillance system to detect
moving objects. Recent research on problem formulations based on decomposition into low …

It has recently been shown that only a small number of samples from a low-rank matrix are
necessary to reconstruct the entire matrix. We bring this to bear on computer vision problems …

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

Conventional dictionary learning algorithms suffer from the following problems when applied
to face recognition. First, since in most face recognition applications there are only a limited …

Robust high-dimensional data processing has witnessed an exciting development in recent
years. Theoretical results have shown that it is possible using convex programming to …

This paper presents a method for the continuous segmentation of dynamic objects using
only a vehicle mounted monocular camera without any prior knowledge of the object's …

Clinical studies confirm that mental illnesses such as autism, Obsessive Compulsive
Disorder (OCD), etc. show behavioral abnormalities even at very young ages; the early …

In this paper, we propose a sparse coding approach to background modeling. The obtained
model is based on dictionaries which we learn and keep up to date as new data are …

Background modeling is a critical component for various vision-based applications. Most
traditional methods tend to be inefficient when solving large-scale problems. In this paper …