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 …

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 …

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 …

Mixture of Gaussians is a widely used approach for background modeling to detect moving
objects from static cameras. Numerous improvements of the original method developed by …

Background modeling is currently used to detect moving objects in video acquired from
static cameras. Numerous statistical methods have been developed over the recent years …

Due to occlusions, the estimation of the full pose of a human hand interacting with an object
is much more challenging than pose recovery of a hand observed in isolation. In this work …

Background subtraction is a key prerequisite for a wide range of image processing
applications due to its pervasiveness in various contexts. In particular, video surveillance …

This book provides a complete overview of the concepts, algorithms, and applications
related to background modeling and foreground detection. It presents the top methods and …

Foreground detection or moving object detection is a fundamental and critical task in video
surveillance systems. Background subtraction using Gaussian Mixture Model (GMM) is a …

Background modeling is often used in the context of moving objects detection from static
cameras. Numerous methods have been developed over the recent years and the most …