Multi-Camera Networks

Multi-Camera Networks

Principles and Applications

1st Edition - April 25, 2009

Write a review

  • Editors: Hamid Aghajan, Andrea Cavallaro
  • eBook ISBN: 9780080878003
  • Hardcover ISBN: 9780123746337

Purchase options

Purchase options
DRM-free (PDF, EPub, Mobi)
Available
Sales tax will be calculated at check-out

Institutional Subscription

Free Global Shipping
No minimum order

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.

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. Distributed Compression in Multi-Camera Systems
    Pier Luigi Dragotti, Imperial College, UK

    Part IV: Multi-Camera Human Detection, Tracking, and Pose Analysis
    13. On-line Learning a Person Detector by Co-Training from Multiple Cameras
    P. M. Roth, C. Leistner, H. Grabner, and H. Bischof, TU Graz, Austria
    14. Real-time 3D Body Pose Estimation
    Michael Van den Bergh1, Esther Koller-Meier, and Luc Van Gool, ETH Zurich, Switzerland, and Katholieke Universiteit Leuven, Belgium
    15. Multi-Person Bayesian Tracking with Multiple Cameras
    Jian Yao and Jean-Marc Odobez, IDIAP, Switzerland
    16. Statistical Pattern Recognition for Multi-Camera Detection, Tracking and Trajectory Analysis
    Simone Calderara, Rita Cucchiara, Andrea Prati, Roberto Vezzani, Univ. di Modena e Reggio Emilia, Italy
    17. Object Association across Multiple Cameras
    Yaser Sheikh, CMU, USA, Omar Javed, ObjectVideo, USA, Mubarak Shah, University of Central Florida, USA
    18. Video Surveillance using a Multi-Camera Tracking and Fusion System
    Zhong Zhang, Andrew Scanlon, Weihong Yin, Li Yu, Peter L. Venetianer, ObjectVideo, USA
    19. Composite Event Detection in Multi-Camera and Multi-Sensor Surveillance Networks
    Yun Zhai, Ying-Li Tian, Senem Velipasalar, Rogerio Feris, Lisa Brown, Russell Bobbitt, Arun Hampapur, Sharath Pankanti, Quanfu Fan, Akira Yanagawa, IBM Research, USA, City College of City University of New York, USA, University of Nebraska, Lincoln, USA

    Part V: Smart Camera Networks: Architecture, Middleware and Applications
    20. Towards Pervasive Smart Camera Networks
    Bernhard Rinner, Klagenfurt University, Austria; Wayne Wolf, Georgia Tech, USA
    21. Smart Cameras for Wireless Camera Networks: Architecture Overview
    Zoran Zivkovic and Richard Kleihorst, NXP Semiconductor Research, The Netherlands
    22. Embedded Middleware for Smart Camera Networks and Sensor Fusion
    Bernhard Rinner and Markus Quaritsch, Klagenfurt University, Austria
    23. Cluster-Based Object Tracking by Wireless Camera Networks
    Henry Medeiros and Johnny Park, Purdue University, USA

    Epilogue: Outlook

Product details

  • No. of pages: 624
  • Language: English
  • Copyright: © Academic Press 2009
  • Published: April 25, 2009
  • Imprint: Academic Press
  • eBook ISBN: 9780080878003
  • Hardcover ISBN: 9780123746337

About the Editors

Hamid Aghajan

Affiliations and Expertise

Stanford University, USA

Andrea Cavallaro

Affiliations and Expertise

Queen Mary, University of London, UK

Ratings and Reviews

Write a review

There are currently no reviews for "Multi-Camera Networks"