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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
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