Distributed Video Sensor Networks

by Bhanu, Bir; Ravishankar, Chinya V.; Roy-chowdhury, Amit K.; Aghajan, Hamid; Terzopoulos, Demetri

• ISBN13: 9780857291264
• ISBN10: 0857291262
• Format: Hardcover
• Copyright: 2011-01-12
• Publisher: Springer-Verlag New York Inc

Summary

Large-scale video networks are of increasing importance in a wide range of applications. However, the development of automated techniques for aggregating and interpreting information from multiple video streams in real-life scenarios is a challenging area of research.Collecting the work of leading researchers from a broad range of disciplines, this timely text/reference offers an in-depth survey of the state of the art in distributed camera networks. The book addresses a broad spectrum of critical issues in this highly interdisciplinary field: current challenges and future directions; video processing and video understanding; simulation, graphics, cognition and video networks; wireless video sensor networks, communications and control; embedded cameras and real-time video analysis; applications of distributed video networks; and educational opportunities and curriculum-development.Topics and features: Presents an overview of research in areas of motion analysis, invariants, multiple cameras for detection, object tracking and recognition, and activities in video networks Provides real-world applications of distributed video networks, including force protection, wide area activities, port security, and recognition in night-time environments Describes the challenges in graphics and simulation, covering virtual vision, network security, human activities, cognitive architecture, and displays Examines issues of multimedia networks, registration, control of cameras (in simulations and real networks), localization and bounds on tracking Discusses system aspects of video networks, with chapters on providing testbed environments, data collection on activities, new integrated sensors for airborne sensors, face recognition, and building sentient spaces Investigates educational opportunities and curriculum development from the perspective of computer science and electrical engineering This unique text will be of great interest to researchers and graduate students of computer vision and pattern recognition, computer graphics and simulation, image processing and embedded systems, and communications, networks and controls. The large number of example applications will also appeal to application engineers.

Table of Contents

Distributed Video Sensor Networks and Research Challenges
Report on NSF/ARO/ONR Workshop on Distributed Camera Networks: Research Challenges and Future Directions	p. 3
Video Processing and Understanding
Motion Analysis: Past, Present and Future	p. 27
Projective Joint Invariants for Matching Curves in Camera Networks	p. 41
Multiple-View Object Recognition in Smart Camera Networks	p. 55
A Comparison of Techniques for Camera Selection and Hand-Off in a Video Network	p. 69
Distributed Sensing and Processing for Multi-Camera Networks	p. 85
Tracking of Multiple Objects over Camera Networks with Overlapping and Non-overlapping Views	p. 103
Toward Robust Online Visual Tracking	p. 119
	p. 137
Use of Context in Video Processing	p. 149
Simulation, Graphics, Cognition and Video Networks
Virtual Vision	p. 163
Visualization and Programming Support for Video Sensor Networks with Application to Wireless and Physical Security	p. 179
Simulating Human Activities for Synthetic Inputs to Sensor Systems	p. 193
Cognitive Sensor Networks	p. 207
Ubiquitous Displays: A Distributed Network of Active Displays	p. 215
Wireless Video Sensor Networks, Communications and Control
Research Challenges for Wireless Multimedia Sensor Networks
Camera Control and Geo-Registration for Video Sensor Networks
Persistent Observation of Dynamic Scenes in an Active Camera Network	p. 259
Proactive PTZ Camera Control	p. 273
Distributed Consensus Algorithms for Image-Based Localization in Camera Sensor Networks	p. 289
Conditional Posterior Cramér-Rao Lower Bound and its Applications in Adaptive Sensor Management	p. 303
Distributed Embedded Cameras and Real-Time Video Analysis
Video Web: Optimizing a Wireless Camera Network for Real-time Surveillance	p. 321
Video Web Dataset for Multi-camera Activities and Non-verbal Communication	p. 335
Wide-Area Persistent Airborne Video: Architecture and Challenges	p. 349
Collaborative Face Recognition Using a Network of Embedded Cameras	p. 373
SATware: A Semantic Approach for Building Sentient Spaces	p. 389
Applications of Distributed Video Networks
Video Analytics for Force Protection
Recognizing Activity Structures in Massive Numbers of Simple Events Over Large Areas	p. 427
Distributed Sensor Networks for Visual Surveillance	p. 439
Ascertaining Human Identity in Night Environments	p. 451
Educational Opportunities and Curriculum Development
Educational Opportunities in Video Sensor Networks	p. 471
Index	p. 479
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