Catalogue


Multi-camera networks [electronic resource] : principles and applications /
Hamid Aghajan, Andrea Cavallaro, [editors].
imprint
Amsterdam ; Boston : Elsevier, AP, c2009.
description
xxvii, 593 p. : ill. ; 25 cm.
ISBN
0123746337, 9780123746337
format(s)
Book
More Details
imprint
Amsterdam ; Boston : Elsevier, AP, c2009.
isbn
0123746337
9780123746337
restrictions
Licensed for access by U. of T. users.
contents note
Preface; Introduction; Multiview Geometry for Camera Networks; Multiview Calibration Synchronization and Dynamic Scene Reconstruction; Actuation-assisted Localization of Distributed Camera Sensor Networks; Building an Algebraic Topological Model of Wireless Camera Networks; Optimal Placement of Multiple Visual Sensors; Optimal Visual Sensor Network Configuration; Collaborative Control of Active Cameras in Large-Scale Surveillance; Pan-Tilt-Zoom Camera Networks; Multi-modal Data Fusion Techniques and Applications; Spherical Imaging in Omni-directional Camera Networks; Video Compression for Camera Networks: a Distributed Approach; Distributed Compression in Multi-Camera Systems; On-line Learning a Person Detector by Co-Training from Multiple Cameras; Real-time 3D Body Pose Estimation; Multi-Person Bayesian Tracking with Multiple Cameras; Statistical Pattern Recognition for Multi-Camera Detection, Tracking and Trajectory Analysis; Object Association across Multiple Cameras; Video Surveillance using a Multi-Camera Tracking and Fusion System; Composite Event Detection in Multi-Camera and Multi-Sensor Surveillance Networks; Towards Pervasive Smart Camera Networks; Smart Cameras for Wireless Camera Networks: Architecture Overview; Embedded Middleware for Smart Camera Networks and Sensor Fusion; Cluster-Based Object Tracking by Wireless Camera Networks; Epilogue: Outlook.
abstract
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. . 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.
catalogue key
8001913
 
Includes bibliographical references and index.
A Look Inside
Summaries
Bowker Data Service Summary
This text 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.
Main 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
Main 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 middlewareThis 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
Main 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
Main Description
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. . 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
Preface
Introduction
Multiview Geometry for Camera Networks
Multiview Calibration Synchronization and Dynamic Scene Reconstruction
Actuation-assisted Localization of Distributed Camera Sensor Networks
Building an Algebraic Topological Model of Wireless Camera Networks
Optimal Placement of Multiple Visual Sensors
Optimal Visual Sensor Network Configuration
Collaborative Control of Active Cameras in Large-Scale Surveillance
Pan-Tilt-Zoom Camera Networks
Multi-modal Data Fusion Techniques and Applications
Spherical Imaging in Omni-directional Camera Networks
Video Compression for Camera Networks: a Distributed Approach
Distributed Compression in Multi-Camera Systems
On-line Learning a Person Detector by Co-Training from Multiple Cameras
Real-time 3D Body Pose Estimation
Multi-Person Bayesian Tracking with Multiple Cameras
Statistical Pattern Recognition for Multi-Camera Detection, Tracking and Trajectory Analysis
Object Association across Multiple Cameras
Video Surveillance using a Multi-Camera Tracking and Fusion System
Composite Event Detection in Multi-Camera and Multi-Sensor Surveillance Networks
Towards Pervasive Smart Camera Networks
Smart Cameras for Wireless Camera Networks: Architecture Overview
Embedded Middleware for Smart Camera Networks and Sensor Fusion
Cluster-Based Object Tracking by Wireless Camera Networks
Epilogue: Outlook
Table of Contents provided by Publisher. All Rights Reserved.

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