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 …

Despite surveillance systems becoming increasingly ubiquitous in our living environment,
automated surveillance, currently based on video sensory modality and machine …

Visual surveillance of dynamic objects, particularly vehicles on the road, has been, over the
past decade, an active research topic in computer vision and intelligent transportation …

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 …

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 …

Within the field of computer vision, change detection algorithms aim at automatically
detecting significant changes occurring in a scene by analyzing the sequence of frames in a …

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

The analysis of human activities is one of the most intriguing and important open issues for
the automated video surveillance community. Since few years ago, it has been handled …

Background subtraction is a widely used approach for detecting moving objects from videos
captured with static a camera. This chapter introduces the basic concept behind this …