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

Key Features

  • 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
  • Readership

    Signal, image and video processing researchers, R&D engineers; engineers researching and developing wireless sensor networks; computer engineers working in computer vision

    Table of Contents

    Preface (David Forsyth, Univ. of Illinois Urbana Champaign, USA) Introduction Part I: Multi-Camera Calibration and Topology 1. Multiview Geometry for Camera Networks (Richard Radke, RPI, USA) 2. Multiview Calibration Synchronization and Dynamic Scene Reconstruction (Marc Pollefeys, Sudipta Sinha, Li Guan, ETHZ, Switzerland, Jean-Sebastien Franco, INRIA and University of Bordeaux, France) 3. Actuation-assisted Localization of Distributed Camera Sensor Networks (Mohammad Rahimi, Jeff Mascia, Lee Juo-Yu, Mani Srivastava, UCLA, USA) 4. Building an Algebraic Topological Model of Wireless Camera Networks (Edgar Lobaton, Parvez Ahammad, Shankar Sastry, Univ. of California Berkeley, USA) 5. Optimal Placement of Multiple Visual Sensors (Eva Hörster & Rainer Lienhart, Univ of Augsberg, Germany) 6. Optimal Visual Sensor Network Configuration (Jian Zhao, Sen-ching S. Cheung, University of Kentucky, USA, Thinh Nguyen, Oregon State University, USA) Part II: Active and Heterogeneous Camera Networks 7. Collaborative Control of Active Cameras in Large-Scale Surveillance (Nils Krahnstoever, Ting Yu, Ser-Nam Lim, Kedar Patwardhan, GE Research, USA) 8. Pan-Tilt-Zoom Camera Networks (Alberto Del Bimbo, F. Dini, A. Grifoni, and Federico Pernici, University of Florence, Italy and Thales Italia, Italy) 9. Multi-modal Data Fusion Techniques and Applications (Alessio Dore, Matteo Pinasco, Carlo Regazzoni, University of Genoa, Italy) 10. Spherical Imaging in Omni-directional Camera Networks (Ivana Tosic and Pascal Frossard, EPFL, Switzerland) Part III: Multi-View Coding 11. Video Compression for Camera Networks: a Distributed Approach (Marco Dalai and Riccardo Leonardi, Univ. Of Brescia, Italy) 12. Distrib

    Details

    No. of pages:
    624
    Language:
    English
    Copyright:
    © 2009
    Published:
    Imprint:
    Academic Press
    Electronic ISBN:
    9780080878003
    Print ISBN:
    9780123746337

    About the editors