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 …

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 …

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 …

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 objective of the CyberScout project is to develop an autonomous surveillance and
reconnaissance system using a network of all-terrain vehicles. We focus on two facets of this …

The importance of video surveillance techniques has considerably increased since the latest
terrorist incidents. Safety and security have become critical in many public areas, and there …

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

Intelligent multi-camera video surveillance is a multidisciplinary field related to computer
vision, pattern recognition, signal processing, communication, embedded computing and …

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 …

There is growing interest in performing aerial surveillance using video cameras. Compared
to traditional framing cameras, video cameras provide the capability to observe ongoing …