Distributed Video Sensor Networks

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. **Dr. Bir Bhanu** is Distinguished Professor of Electrical Engineering, and Director of the Center for Research in Intelligent Systems, at the University of California, Riverside (UCR), USA. **Dr. Chinya V. Ravishankar** is a Professor in the Department of Computer Science and Engineering, and **Dr. Amit K. Roy-Chowdhury** is an Associate Professor in the Department of Electrical Engineering, also both at UCR. **Dr. Hamid Aghajan** is a Professor of Electrical Engineering (Consulting) at Stanford University, USA. **Dr. Demetri Terzopoulos** is Chancellor's Professor of Computer Science at the University of California, Los Angeles, USA. Front Matter....Pages I-XVII Front Matter....Pages 1-1 Report on NSF/ARO/ONR Workshop on Distributed Camera Networks: Research Challenges and Future Directions....Pages 3-23 Front Matter....Pages 25-25 Motion Analysis: Past, Present and Future....Pages 27-39 Projective Joint Invariants for Matching Curves in Camera Networks....Pages 41-54 Multiple-View Object Recognition in Smart Camera Networks....Pages 55-68 A Comparison of Techniques for Camera Selection and Hand-Off in a Video Network....Pages 69-83 Distributed Sensing and Processing for Multi-Camera Networks....Pages 85-101 Tracking of Multiple Objects over Camera Networks with Overlapping and Non-overlapping Views....Pages 103-117 Toward Robust Online Visual Tracking....Pages 119-136 Modeling Patterns of Activity and Detecting Abnormal Events with Low-Level Co-occurrences....Pages 137-148 Use of Context in Video Processing....Pages 149-160 Front Matter....Pages 161-161 Virtual Vision....Pages 163-177 Virtualization and Programming Support for Video Sensor Networks with Application to Wireless and Physical Security....Pages 179-192 Simulating Human Activities for Synthetic Inputs to Sensor Systems....Pages 193-205 Cognitive Sensor Networks....Pages 207-213 Ubiquitous Displays: A Distributed Network of Active Displays....Pages 215-230 Front Matter....Pages 231-231 Research Challenges for Wireless Multimedia Sensor Networks....Pages 233-246 Camera Control and Geo-Registration for Video Sensor Networks....Pages 247-257 Persistent Observation of Dynamic Scenes in an Active Camera Network....Pages 259-271 Proactive PTZ Camera Control....Pages 273-287 Distributed Consensus Algorithms for Image-Based Localization in Camera Sensor Networks....Pages 289-302 Front Matter....Pages 231-231 Conditional Posterior Cramér–Rao Lower Bound and its Applications in Adaptive Sensor Management....Pages 303-317 Front Matter....Pages 319-319 VideoWeb: Optimizing a Wireless Camera Network for Real-time Surveillance....Pages 321-334 VideoWeb Dataset for Multi-camera Activities and Non-verbal Communication....Pages 335-347 Wide-Area Persistent Airborne Video: Architecture and Challenges....Pages 349-371 Collaborative Face Recognition Using a Network of Embedded Cameras....Pages 373-387 SATware: A Semantic Approach for Building Sentient Spaces....Pages 389-402 Front Matter....Pages 403-403 Video Analytics for Force Protection....Pages 405-425 Recognizing Activity Structures in Massive Numbers of Simple Events Over Large Areas....Pages 427-437 Distributed Sensor Networks for Visual Surveillance....Pages 439-449 Ascertaining Human Identity in Night Environments....Pages 451-467 Front Matter....Pages 469-469 Educational Opportunities in Video Sensor Networks....Pages 471-478 Back Matter....Pages 479-485 Pt. 1. Distributed video sensor networks and research challenges pt. 2. Video processing and understanding pt. 3. Simulation, graphics, cognition and video networks pt. 4. Wireless video sensor networks, communications and control pt. 5. Distributed embedded cameras and real-time video analysis pt. 6. Applications of distributed video networks pt. 7. Educational opportunities and curriculum development.