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.- 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
Table of Contents
PrefaceIntroductionPart I: Multi-Camera Calibration and Topology1. Multiview Geometry for Camera Networks2. Multiview Calibration Synchronization and Dynamic Scene Reconstruction3. Actuation-assisted Localization of Distributed Camera Sensor Networks4. Building an Algebraic Topological Model of Wireless Camera Networks5. Optimal Placement of Multiple Visual Sensors6. Optimal Visual Sensor Network ConfigurationPart II: Active and Heterogeneous Camera Networks7. Collaborative Control of Active Cameras in Large-Scale Surveillance8. Pan-Tilt-Zoom Camera Networks9. Multi-modal Data Fusion Techniques and Applications10. Spherical Imaging in Omni-directional Camera NetworksPart III: Multi-View Coding11. Video Compression for Camera Networks: a Distributed Approach12. Distributed Compression in Multi-Camera SystemsPart IV: Multi-Camera Human Detection, Tracking, and Pose Analysis13. On-line Learning a Person Detector by Co-Training from Multiple Cameras14. Real-time 3D Body Pose Estimation15. Multi-Person Bayesian Tracking with Multiple Cameras16. Statistical Pattern Recognition for Multi-Camera Detection, Tracking and Trajectory Analysis17. Object Association across Multiple Cameras18. Video Surveillance using a Multi-Camera Tracking and Fusion System19. Composite Event Detection in Multi-Camera and Multi-Sensor Surveillance NetworksPart V: Smart Camera Networks: Architecture, Middleware and Applications20. Towards Pervasive Smart Camera Networks21. Smart Cameras for Wireless Camera Networks: Architecture Overview22. Embedded Middleware for Smart Camera Networks and Sensor Fusion23. Cluster-Based Object Tracking by Wireless Camera NetworksEpilogue: Outlook
