Edited by
Hamid Aghajan, Stanford University, USA
Andrea Cavallaro, Queen Mary, University of London, UK
Description
- The first book, by the leading experts, on this rapidly developing field with applications to security, smart homes, multimedia,
and environmental monitoring
- Comprehensive coverage of fundamentals, algorithms, design methodologies, system implementation
issues, architectures, and applications
- Presents in detail the latest developments in multi-camera calibration, active and
heterogeneous camera networks, multi-camera object and event detection, tracking, coding, smart camera architecture and middleware
This book is the definitive reference in multi-camera networks. It gives clear guidance on the conceptual and implementation
issues involved in the design and operation of multi-camera networks, as well as presenting the state-of-the-art in hardware, algorithms
and system development. The book is broad in scope, covering smart camera architectures, embedded processing, sensor fusion and middleware,
calibration and topology, network-based detection and tracking, and applications in distributed and collaborative methods in camera networks.
This book will be an ideal reference for university researchers, R&D engineers, computer engineers, and
graduate students working in signal and video processing, computer vision, and sensor networks.
Hamid Aghajan
is a Professor of Electrical Engineering (consulting) at Stanford University. His research is on multi-camera networks for smart environments
with application to smart homes, assisted living and well being, meeting rooms, and avatar-based communication and social interactions.
He is Editor-in-Chief of Journal of Ambient Intelligence and Smart Environments, and was general chair of ACM/IEEE ICDSC 2008.
Andrea Cavallaro is Reader (Associate Professor) at Queen Mary, University of London (QMUL). His research is on
target tracking and audiovisual content analysis for advanced surveillance and multi-sensor systems. He serves as Associate Editor of
the IEEE Signal Processing Magazine and the IEEE Trans. on Multimedia, and has been general chair of IEEE AVSS 2007, ACM/IEEE ICDSC 2009
and BMVC 2009.
Audience:
Signal, image and video processing researchers, R&D engineers; engineers researching and developing wireless sensor networks; computer engineers working in computer vision
