UID:
almahu_9948026446902882
Format:
1 online resource (623 p.)
Edition:
1st edition
ISBN:
1-282-12067-0
,
9786612120671
,
0-08-087800-8
Content:
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 applicationsPresents 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
Note:
Description based upon print version of record.
,
Front Cover; Multi-Camera Networks; Copyright Page; Table of Contents; Foreword; Preface; Part 1: Multi-Camera Calibration and Topology; Chapter 1. Multi-View Geometry for Camera Networks; 1.1 Introduction; 1.2 Image Formation; 1.2.1 Perspective Projection; 1.2.2 Camera Matrices; 1.2.3 Estimating the Camera Matrix; 1.3 Two-Camera Geometry; 1.3.1 Epipolar Geometry and Its Estimation; 1.3.2 Relating the Fundamental Matrix to the Camera Matrices; 1.3.3 Estimating the Fundamental Matrix; 1.4 Projective Transformations; 1.4.1 Estimating Projective Transformations
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1.4.2 Rectifying Projective Transformations1.5 Feature Detection and Matching; 1.6 Multi-Camera Geometry; 1.6.1 Affine Reconstruction; 1.6.2 Projective Reconstruction; 1.6.3 Metric Reconstruction; 1.6.4 Bundle Adjustment; 1.7 Conclusions; 1.7.1 Resources; References; Chapter 2. Multi-View Calibration, Synchronization, and Dynamic Scene Reconstruction; 2.1 Introduction; 2.2 Camera Network Calibration and Synchronization; 2.2.1 Epipolar Geometry from Dynamic Silhouettes; 2.2.2 Related Work; 2.2.3 Camera Network Calibration; 2.2.4 Computing the Metric Reconstruction
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2.2.5 Camera Network Synchronization2.2.6 Results; 2.3 Dynamic Scene Reconstruction from Silhouette Cues; 2.3.1 Related Work; 2.3.2 Probabilistic Framework; 2.3.3 Automatic Learning and Tracking; 2.3.4 Results and Evaluation; 2.4 Conclusions; References; Chapter 3. Actuation-Assisted Localization of Distributed Camera Sensor Networks; 3.1 Introduction; 3.2 Methodology; 3.2.1 Base Triangle; 3.2.2 Large-Scale Networks; 3.2.3 Bundle Adjustment Refinement; 3.3 Actuation Planning; 3.3.1 Actuation Strategies; 3.3.2 Actuation Termination Rules; 3.4 System Description; 3.4.1 Actuated Camera Platform
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3.4.2 Optical Communication Beaconing3.4.3 Network Architecture; 3.5 Evaluation; 3.5.1 Localization Accuracy; 3.5.2 Node Density; 3.5.3 Latency; 3.6 Conclusions; References; Chapter 4. Building an Algebraic Topological Model of Wireless Camera Networks; 4.1 Introduction; 4.2 Mathematical Background; 4.2.1 Simplicial Homology; 4.2.2 Example; 4.2.3 Cech Theorem; 4.3 The Camera and the Environment Models; 4.4 The CN-Complex; 4.5 Recovering Topology: 2D Case; 4.5.1 Algorithms; 4.5.2 Simulation in 2D; 4.6 Recovering Topology: 2.5D Case; 4.6.1 Mapping from 2.5D to 2D; 4.6.2 Building the CN-Complex
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4.6.3 Experimentation4.7 Conclusions; References; Chapter 5. Optimal Placement of Multiple Visual Sensors; 5.1 Introduction; 5.1.1 Related Work; 5.1.2 Organization; 5.2 Problem Formulation; 5.2.1 Definitions; 5.2.2 Problem Statements; 5.2.3 Modeling a Camera's Field of View; 5.2.4 Modeling Space; 5.3 Approaches; 5.3.1 Exact Algorithms; 5.3.2 Heuristics; 5.3.3 Random Selection and Placement; 5.4 Experiments; 5.4.1 Comparison of Approaches; 5.4.2 Complex Space Examples; 5.5 Possible Extensions; 5.6 Conclusions; References; Chapter 6. Optimal Visual Sensor Network Configuration; 6.1 Introduction
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6.1.1 Organization
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English
Additional Edition:
ISBN 0-12-374633-7
Language:
English
