Principles and ApplicationsEdited by
- Hamid Aghajan
- Andrea Cavallaro
- 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.
Signal, image and video processing researchers, R&D engineers; engineers researching and developing wireless sensor networks; computer engineers working in computer vision
Hardbound, 624 Pages
Published: May 2009
Imprint: Academic Press
- Preface (David Forsyth, Univ. of Illinois Urbana Champaign, USA)IntroductionPart I: Multi-Camera Calibration and Topology1. 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 HÃ¶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 Networks7. 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 Coding11. 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 Analysis13. 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 Applications20. 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