Human motion tracking for rehabilitation has been an active research topic since the 1980s.
It has been motivated by the increased number of patients who have suffered a stroke, or …

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 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 book is the first ever to focus on the emerging field of self-aware computing from an
engineering perspective. It first comprehensively introduces fundamentals for self …

Modeling the coverage of a sensor network is an important step in a number of design and
optimization techniques. The nature of vision sensors presents unique challenges in …

Used to explain complicated economic behavior for decades, game theory is quickly
becoming a tool of choice for those serious about optimizing next generation wireless …

The performance of dynamic scene algorithms often suffers because of the inability to
effectively acquire features on the targets, particularly when they are distributed over a wide …

We present a multi-camera system based on Bayesian modality fusion to track multiple
people in an indoor environment. Bayesian networks are used to combine multiple …

Camera networks are being deployed for various applications like security and surveillance,
disaster response and environmental modeling. However, there is little automated …

This paper deals with the problem of tracking multiple targets in a distributed network of self-
configuring pan-tilt-zoom cameras. We focus on applications where events unfold over a …