Multi-Camera Networks
Principles and Applications
- 1st Edition - April 25, 2009
- Latest edition
- Editors: Hamid Aghajan, Andrea Cavallaro
- Language: English
The first book, by the leading experts, on this rapidly developing field with applications to security, smart homes, multimedia, and environmental monitoring Comprehensiv… Read more
World Book Day celebration
Where learning shapes lives
Up to 25% off trusted resources that support research, study, and discovery.
Description
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
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
Readership
Table of contents
Table of contents
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
Product details
- Edition: 1
- Latest edition
- Published: April 25, 2009
- Language: English
About the editors
About the editors
HA
Hamid Aghajan
AC