Intelligent Distributed Video Surveillance Systems (Professional Applications of Computing)

✍ Scribed by Paolo Remagnino Sergio A Velastin

• Publisher: Institution of Engineering and Technology
• Year: 2006
• Tongue: English
• Leaves: 301
• Category: Library

✦ Synopsis

Conventional video surveillance, where people sit in front of banks of TV monitors may soon become obsolete as key enabling technologies develop. This book details recent developments in machine vision algorithms capable of handling complex visual data acquired by camera systems. It also explores advances in distributed computing and distributed intelligence systems, capable of handling numerous devices and adapting to the evolution of the complex communication networks, thereby inferring a better interpretation of the dynamics of people and objects.Also available:Knowledge Discovery and Data Mining - ISBN 0852967675UML for Systems Engineering: watching the wheels, 2nd Edition - ISBN 0863413544The Institution of Engineering and Technology is one of the world's leading professional societies for the engineering and technology community. The IET publishes more than 100 new titles every year; a rich mix of books, journals and magazines with a back catalogue of more than 350 books in 18 different subject areas including: -Power & Energy -Renewable Energy -Radar, Sonar & Navigation -Electromagnetics -Electrical Measurement -History of Technology -Technology Management

✦ Table of Contents

Contents......Page 6
Foreword......Page 12
Authors and Contributors......Page 16
1.1 Introduction......Page 20
1.2 Applications......Page 22
1.3 Techniques used in surveillance systems......Page 23
1.4 Review of surveillance systems......Page 29
1.5 Distribution, communication and system design......Page 41
1.6 Conclusions......Page 42
References......Page 43
2.1 Introduction......Page 50
2.2 Setting the scene: operation rooms......Page 52
2.3 Revealing problems......Page 53
2.4 'Off-the-world'......Page 55
2.5 Combining views......Page 56
2.6 Tracking problems: coordinating activities......Page 58
2.7 Deploying image processing systems: implications for design......Page 62
2.8 Summary and conclusion......Page 71
Acknowledgements......Page 72
References......Page 73
3.1 Introduction......Page 74
3.2 Background......Page 75
3.3 Off-line learning......Page 79
3.4 Database design......Page 80
3.5 Video summaries and annotation......Page 85
3.6 Performance evaluation......Page 89
3.7 Pseudo-synthetic video......Page 91
3.8 Experiments and evaluation......Page 100
References......Page 106
4.1 Introduction......Page 110
4.2 People segmentation for in-house surveillance......Page 114
4.3 People tracking handling occlusions......Page 117
4.4 Posture classification in deformable models with temporal coherence......Page 121
4.5 Multi-camera system management......Page 127
4.6 Universal multimedia access to indoor surveillance data......Page 131
4.7 Conclusions......Page 133
References......Page 136
5.1 Introduction......Page 140
5.2 Objectives......Page 141
5.3 System overview and description of components......Page 142
5.4 Software architecture and middleware......Page 145
5.5 Computer vision......Page 150
5.6 Results and performance......Page 168
5.7 Application case study......Page 170
Acknowledgements......Page 171
References......Page 172
6.1 Introduction......Page 176
6.2 Previous work......Page 177
6.3 Overview......Page 178
6.4 Object detection module......Page 180
6.5 Object tracking module......Page 182
6.6 Colour similarity......Page 187
6.7 Relating possible reappearing targets......Page 189
6.8 Path-based target recognition......Page 193
6.9 Learning and recognising trajectory patterns across camera views......Page 196
References......Page 201
7.1 Introduction......Page 204
7.3 Intrusions into forbidden or dangerous areas......Page 206
7.4 Counting of passengers......Page 217
7.5 Detection of abnormal stationarity......Page 228
7.6 Queue length measurement......Page 235
7.7 Conclusion......Page 241
Acknowledgements......Page 242
References......Page 243
8.1 Introduction......Page 244
8.2 System architecture......Page 246
8.3 Video processing......Page 249
8.4 Multi-view, multi-person tracking......Page 256
8.5 Strategies for selection and classification of tracks......Page 259
8.6 Results......Page 266
8.7 Conclusions......Page 269
References......Page 270
9.1 Introduction......Page 272
9.2 System description......Page 273
9.3 Active tracking......Page 275
9.4 Static camera networks......Page 280
9.5 Event recognition......Page 285
References......Page 287
Epilogue......Page 290
Index......Page 296