 |
 |
 | MULTI-CAMERA NETWORKS
|  |
 |  |  |
 |
 |
Principles and Applications
To order this title, and for more information, click here
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
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 H rster & 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
| Bibliographic details |
Hardbound, 624 pages, publication date: MAY-2009
ISBN-13: 978-0-12-374633-7
Imprint: ACADEMIC PRESS
|
| Price and Ordering |
Price:
GBP 78.99 EUR 92.95 USD 130
|  |
Books and book related electronic products are priced in US dollars (USD), euro (EUR), and Great Britain Pounds (GBP). USD prices apply to the Americas and Asia Pacific. EUR prices apply in Europe and the Middle East. GBP prices apply to the UK and all other countries.
|
See also information about conditions of sale & ordering procedures, and links to our regional sales offices.
|
034/325
Last update: 25 Nov 2009
|
 |
|  |
 |  |  |
 |
|
|  |