Distributed Video Sensor Networks

von: Bir Bhanu, Chinya V. Ravishankar, Amit K. Roy-Chowdhury, Hamid Aghajan, Demetri Terzopoulos

Springer-Verlag, 2011

ISBN: 9780857291271 , 485 Seiten

Format: PDF

Kopierschutz: Wasserzeichen

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Mehr zum Inhalt

Distributed Video Sensor Networks


 

Preface

5

Contents

7

Introduction

11

Distributed Video Sensor Networks and Research Challenges

18

Report on NSF/ARO/ONR Workshop on Distributed Camera Networks: Research Challenges and Future Directions

19

1 Introduction

20

2 Workshop Recommendations

20

3 Suggested Major Research Topics

28

Appendix 1: List of Attendees in Alphabetical Order

29

Appendix 2: Groups and Group Leaders

34

Appendix 3: Talks with Titles and Presenters

37

Video Processing and Understanding

40

Motion Analysis: Past, Present and Future

41

1 Introduction to Motion: An Early History

42

2 Motion: Highlights from Philosophy, Psychology and Neurobiology

43

3 Motion in Computer Vision: The Beginnings

44

4 Optical Flow-Based Motion Detection

46

5 Human Actions and Activities

48

6 Motion: Future

49

References

51

Projective Joint Invariants for Matching Curves in Camera Networks

54

1 Introduction

54

2 Problem Formulation and Preliminaries

57

3 Joint-Invariant Signatures

60

4 Toward Local Signatures

61

5 Matching Performance

65

6 Discussion

66

References

66

Multiple-View Object Recognition in Smart Camera Networks

68

1 Introduction

69

2 Encoding Multiple-View Features via Sparse Representation

70

3 System Implementation

76

4 Experiment

78

5 Conclusion and Discussion

80

References

80

A Comparison of Techniques for Camera Selection and Hand- Off in a Video Network

82

1 Introduction

82

2 RelatedWork and Contributions

83

3 Theoretical Comparison

86

4 Experimental Results

90

5 Conclusions and Future Work

94

References

95

Distributed Sensing and Processing for Multi- Camera Networks

97

1 Introduction

97

2 Statistical Inference for Tracking

99

3 Efficient Particle Filtering

102

4 Compressive Sensing

107

5 Conclusions and Future Directions

111

References

112

Tracking of Multiple Objects over Camera Networks with Overlapping and Non- overlapping Views

114

1 Introduction

114

2 RelatedWork

116

3 Tracking within a Single Camera

117

4 Tracking Across Multiple Cameras

121

5 Experimental Results

124

6 Conclusion

127

References

127

Toward Robust Online Visual Tracking

129

1 Introduction

129

2 Appearance Modeling for Visual Tracking

130

3 Learning Detectors Online for Visual Tracking

135

4 Conclusions

143

References

143

Modeling Patterns of Activity and Detecting Abnormal Events with Low- Level Co- occurrences

147

1 Introduction

148

2 Context, Overview and Notations

148

3 OurMethod

151

4 Experimental Results

154

5 Conclusion

156

References

158

Use of Context in Video Processing

159

1 Introduction

159

2 Case Study: Environment Discovery

161

3 Conclusion

169

References

170

Simulation, Graphics, Cognition and Video Networks

171

Virtual Vision

172

1 Introduction

173

2 The Case for Virtual Vision

174

3 RelatedWork

177

4 Smart Camera Nodes

178

5 Surveillance Systems

183

6 Conclusions

184

References

186

Virtualization and Programming Support for Video Sensor Networks with Application toWireless and Physical Security

187

1 Motivation

188

2 RelatedWork

189

3 SNBench Overview

191

4 EnablingWireless Monitoring

192

5 Deployment Environment

194

6 Service Programming Primer

195

7 Wireless Security Services

196

8 Future Work and Conclusions

198

References

199

Simulating Human Activities for Synthetic Inputs to Sensor Systems

201

1 Overview

201

2 The CAROSA System

202

3 RelatedWork

203

4 Parameterized Representations

204

5 Resource Management

206

6 Roles and Groups

206

7 Scenario Authoring

208

8 Example Simulation

209

9 CAROSA Summary

210

10 Input to Distributed Sensor Networks

211

11 Summary

211

References

212

Cognitive Sensor Networks

214

1 Introduction

214

2 Cognition

215

3 Symmetry Theory in Signal Processing

218

4 Conclusion

219

References

219

Ubiquitous Displays: A Distributed Network of Active Displays

221

1 Introduction

221

2 Initial Progress

226

3 Conclusion

235

References

235

Wireless Video Sensor Networks, Communications and Control

237

Research Challenges forWireless Multimedia Sensor Networks

238

1 Introduction

238

2 Applications of Wireless Multimedia Sensor Networks

239

3 Network Architecture

240

4 Factors Influencing the Design of Multimedia Sensor Networks

241

5 Application Layer

243

6 Transport Layer Protocols

246

7 Network Layer

248

8 MAC Layer

248

9 Physical Layer

249

10 Conclusions

250

References

250

Camera Control and Geo-Registration for Video Sensor Networks

252

1 Introduction

252

2 RelatedWork

253

3 PTZ Camera Viewspace Control Model

254

4 Scene-Based Camera Geo-Registration and Mapping

257

5 Operational Interface

260

6 Summary

260

References

261

Persistent Observation of Dynamic Scenes in an Active Camera Network

263

1 Introduction

264

2 Technical Rationale

264

3 Cooperative Target Acquisition Using Game Theory

266

4 Experimental Results

271

5 Conclusion

274

References

274

Proactive PTZ Camera Control

276

1 Introduction

276

2 Proactive Camera Control

279

3 Results

285

4 Conclusions and Future Work

288

References

289

Distributed Consensus Algorithms for Image- Based Localization in Camera Sensor Networks

291

1 Introduction

291

2 Review of Average-Consensus Algorithms

293

3 Distributed Object Localization

294

4 Distributed CSN Localization

297

5 Conclusion

302

References

303

Conditional Posterior Cramér–Rao Lower Bound and its Applications in Adaptive Sensor Management

305

1 Introduction

306

2 Conditional PCRLB for Recursive Nonlinear Filtering

309

3 C-PCRLB-Based Sensor Management

312

4 Applications in Camera Network Management

315

References

317

Distributed Embedded Cameras and Real- Time Video Analysis

320

VideoWeb: Optimizing aWireless Camera Network for Real- time Surveillance

321

1 Introduction

321

2 RelatedWork and Contributions

322

3 Building the Camera Network

322

4 The VideoWebWireless Camera Network

326

5 Experiments for Performance Characterization and Optimization of the Video Network

328

6 Conclusions

333

References

333

VideoWeb Dataset for Multi-camera Activities and Non- verbal Communication

335

1 Introduction

336

2 Data Collection

336

3 Conclusions

347

References

347

Wide-Area Persistent Airborne Video: Architecture and Challenges

348

1 Introduction

349

2 Spatio-temporal Reflectance Variations

353

3 Wide Aperture Imaging Model of Camera Arrays

358

4 Accommodating Dynamic Variations in Operational Camera Arrays Using Pose Information

364

5 Summary and Conclusions

366

References

368

Collaborative Face Recognition Using a Network of Embedded Cameras

371

1 Introduction

371

2 RelatedWork

373

3 Experimental Setup

374

4 System Performance

379

5 Conclusions and Future Work

382

References

384

SATware: A Semantic Approach for Building Sentient Spaces

386

1 Introduction

386

2 SATware: An Middleware Framework for Sentient Spaces

389

3 A Programming Model for Pervasive Applications

389

4 Supporting Scalability through Semantic Scheduling

394

5 Supporting Robustness through Sensor Recalibration

396

6 Conclusions

397

References

398

Applications of Distributed Video Networks

400

Video Analytics for Force Protection

401

1 Aerial Video Analysis

403

2 Tracking from Fixed Ground Based Cameras

406

3 Person Detection from Moving Platforms

410

4 Biometrics at a Distance

412

5 Facial Analysis

416

6 Summary

418

References

419

Recognizing Activity Structures in Massive Numbers of Simple Events Over Large Areas

422

1 Introduction

422

2 Spatial Structure

424

3 Temporal Structure

426

4 Event-Linkage Structure

427

5 Short Event-Sequence Structure

427

6 Network Structure

430

7 Summary

432

References

432

Distributed Sensor Networks for Visual Surveillance

433

1 Introduction

434

2 Technical Challenges in Large Sensor Networks

434

3 System Design and Components

435

4 Results

440

References

443

Ascertaining Human Identity in Night Environments

444

1 Introduction

445

2 Color-NIR Cross-Spectral Iris Matching

446

3 Short Wave Infrared Face Verification

449

4 Gait Curves for Human Recognition in a Night-Time Environment

454

5 Soft Biometrics—Body Measurement

457

6 Summary

459

References

459

Educational Opportunities and Curriculum Development

461

Educational Opportunities in Video Sensor Networks

462

1 Introduction

462

2 Computational Sensor Networks

464

3 Engineering Background for Video Sensor Networks

465

4 Course Organization

465

5 Support Technology for Instruction

466

6 Conclusion

466

Appendix 1: Recommended Courses and Topics

468

References

469

Index

470