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eTextbook 978-0123746337 Multi-Camera Networks: Principles and Applications

Name: eTextbook 978-0123746337 Multi-Camera Networks: Principles and Applications
SKU: cb9020562aca
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eTextbook 978-0123746337 Multi-Camera Networks: Principles and Applications – Digital Instant Dowload.

SKU: cb9020562aca Category: Uncategorized Tags: Multi-Camera Networks, Principles and Applications

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eTextbook 978-0123746337 Multi-Camera Networks: Principles and Applications – Digital Instant Dowload.

Product details:

ISBN-10 ‏ : ‎ 0123746337
ISBN-13 ‏ : ‎ 978-0123746337
Author: Hamid Aghajan

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.

Table contents:

Part I: Multi-Camera Calibration and Topology
1. Multiview Geometry for Camera Networks
2. Multiview Calibration Synchronization and Dynamic Scene Reconstruction
3. Actuation-assisted Localization of Distributed Camera Sensor Networks
4. Building an Algebraic Topological Model of Wireless Camera Networks
5. Optimal Placement of Multiple Visual Sensors
6. Optimal Visual Sensor Network Configuration

Part II: Active and Heterogeneous Camera Networks
7. Collaborative Control of Active Cameras in Large-Scale Surveillance
8. Pan-Tilt-Zoom Camera Networks
9. Multi-modal Data Fusion Techniques and Applications
10. Spherical Imaging in Omni-directional Camera Networks

Part III: Multi-View Coding
11. Video Compression for Camera Networks: a Distributed Approach
12. Distributed Compression in Multi-Camera Systems

Part IV: Multi-Camera Human Detection, Tracking, and Pose Analysis
13. On-line Learning a Person Detector by Co-Training from Multiple Cameras
14. Real-time 3D Body Pose Estimation
15. Multi-Person Bayesian Tracking with Multiple Cameras
16. Statistical Pattern Recognition for Multi-Camera Detection, Tracking and Trajectory Analysis
17. Object Association across Multiple Cameras
18. Video Surveillance using a Multi-Camera Tracking and Fusion System
19. Composite Event Detection in Multi-Camera and Multi-Sensor Surveillance Networks

Part V: Smart Camera Networks: Architecture, Middleware and Applications
20. Towards Pervasive Smart Camera Networks
21. Smart Cameras for Wireless Camera Networks: Architecture Overview
22. Embedded Middleware for Smart Camera Networks and Sensor Fusion
23. Cluster-Based Object Tracking by Wireless Camera Networks
Epilogue: Outlook