The problem of automated visual surveillance has spawned a lively research area, with
2005 seeing three conferences or workshops and special issues of two major journals …

The usefulness of networks of surveillance cameras is primarily limited by the demand
placed on human supervisors to monitor many real time video feeds simultaneously. The …

This survey describes the current state-of-the-art in the development of automated visual
surveillance systems so as to provide researchers in the field with a summary of progress …

Research in the surveillance domain was confined for years in the military domain. Recently,
as military spending for this kind of research was reduced and the technology matured, the …

Detection, tracking, and understanding of moving objects of interest in dynamic scenes have
been active research areas in computer vision over the past decades. Intelligent visual …

In this article, we present Knight, an automated surveillance system deployed in a variety of
real-world scenarios ranging from railway security to law enforcement. We also discuss the …

Automated surveillance systems observe the environment utilizing cameras. The observed
scenario is then analysed using motion detection, crowd behaviour, individual behaviour …

Long gone are the days of a video surveillance system capable of processing only one
video stream acquired by a single fixed camera. In those days algorithms were tested in …

Visual surveillance in dynamic scenes, especially for humans and vehicles, is currently one
of the most active research topics in computer vision. It has a wide spectrum of promising …

Over the past 10 years, computer vision research has matured significantly. Although some
of the core problems, such as object recognition and shape estimation are far from solved …