Human eyes are highly efficient devices for scanning through a large quantity of low-level
visual sensory data and delivering selective information to one's brain for high-level …

The current state of the art and direction of research in computer vision aimed at automating
the analysis of CCTV images is presented. This includes low level identification of objects …

Demand continues to grow worldwide, from both government and commerce, for
technologies capable of automatically selecting and identifying object/human behaviour …

Behind the familiar camera housings and lenses, and hidden from their surveilled subjects,
video surveillance systems are becoming much 'smarter'. Though many people still …

There is an increasing desire and need in video surveillance applications for a proposed
solution to be able to analyze human behaviors and identify subjects for standoff threat …

In the last years, the number of surveillance cameras placed in public locations has increase
vastly and as consequence, a huge amount of visual data is generated every minute. In …

Owing to the massive amount of video data being generated as a result of high proliferation
of surveillance cameras, the manpower to monitor such system is relatively expensive …

Video analytics, loosely defined as autonomous understanding of events occurring in a
scene monitored by multiple video cameras, has been rapidly evolving in the last two …

In recent year, intelligent visual surveillance has become more and more important for
enhanced security. In this paper, we will introduce some recent work in image and video …

UTOMATED video surveillance addresses real-time observation of people and vehicles
within a busy environment, leading to a description of their actions and interactions. The …