Background modeling has emerged as a popular foreground detection technique for various
applications in video surveillance. Background modeling methods have become increasing …

This paper provides a comprehensive survey for activity recognition in video surveillance. It
starts with a description of simple and complex human activity, and various applications. The …

In this paper, we present a complete change detection system named multimode
background subtraction. The universal nature of system allows it to robustly handle multitude …

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 …

Background subtraction in videos is a highly challenging task by definition, as it lays on a
pixel-wise classification level. Therefore, great attention to detail is essential. In this paper …

One of the main goals of many augmented reality applications is to provide a seamless
integration of a real scene with additional virtual data. To fully achieve that goal, such …

Natural scenes are highly dynamic, challenging the reliability of visual processing. Yet,
humans and many animals perform accurate visual behaviors, whereas computer vision …

Most background modeling techniques use a single leaning rate of adaptation that is
inadequate for real scenes because the background model is unable to effectively deal with …

Surveillance in a maritime environment is indispensable in the fight against a wide range of
criminal activities, including pirate attacks, unlicensed fishing trailers and human trafficking …