Distributed Video Sensor Networks
Springer London Ltd (Verlag)
978-0-85729-126-4 (ISBN)
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;
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.
Introduction
Part I: Distributed Video Sensor Networks and Research Challenges
Report on NSF/ARO/ONR Workshop on Distributed Camera Networks
Bir Bhanu and Amit Roy Chowdhury
Part II: Video Processing and Understanding
Motion Analysis
J. K. Aggarwal
Projective Joint Invariants for Matching Curves in Camera Networks
Raman Arora and Charles R. Dyer
Multiple-view Object Recognition in Smart Camera Networks
Allen Y. Yang, Subhransu Maji, C. Mario Christoudias, Trevor Darrell, Jitendra Malik and S. Shankar Sastry
A Comparison of Techniques for Camera Selection and Handoff in a Video Network
Yiming Li and Bir Bhanu
Tracking of Multiple Objects Over Camera Networks with Overlapping and Nonoverlapping Views
Jenq-Neng Hwang and Victor Gau
Toward Robust Online Visual Tracking
Ming-Hsuan Yang and Jeffrey Ho
Modeling Patterns of Activity and Detecting Abnormal Events with Low-level Co-occurrences
Yannick Benezeth, Pierre-Marc Jodoin and Venkatesh Saligrama
Use of Context in Video Processing
Chen Wu and Hamid Aghajan
Part III: Simulation, Graphics, Cognition and Video Networks
Virtual Vision
Demetri Terzopoulos and Faisal Z. Qureshi
Virtualization and Programming Support for Video Sensor Networks with Application to Wireless and Physical Security
Azer Bestavros and Michael J. Ocean
Simulating Human Activities for Synthetic Inputs to Sensor Systems
Jan M. Allbeck and Norman I. Badler
Cognitive Sensor Networks
Thomas C. Henderson
Ubiquitous Displays
Aditi Majumder
Part IV: Wireless Video Sensor Networks, Communications and Control
Research Challenges for Wireless Multimedia Sensor Networks
Tommaso Melodia and Ian F. Akyildiz
Camera Control and Georegistration for Video Sensor Networks
James W. Davis
Persistent Observation of Dynamic Scenes in an Active Camera Network
Bi Song, Chong Ding, Amit Roy-Chowdhury and Jay Farrell
Proactive PTZ Camera Control
Faisal Z. Qureshi and Demetri Terzopoulos
Distributed Consensus Algorithms for Image-based Localization in Camera Sensor Networks
Roberto Tron, Andreas Terzis and Rene Vidal
Conditional Posterior Cramér-rao Lower Bound and its Applications in Adaptive Sensor Management
Ruixin Niu, Long Zuo, Engin Masazade and Pramod K. Varshney
Part V: Distributed Embedded Cameras and Real-Time Video Analysis
VideoWeb
Hoang Thanh Nguyen and Bir Bhanu
VideoWeb Dataset for Multicamera Activities and Nonverbal Communication
Giovanni Denina, Bir Bhanu, Hoang Thanh Nguyen, Chong Ding, Ahmed Kamal, Chinya Ravishankar, Amit Roy-Chowdhury, Allen Ivers and Brenda Varda
Wide-Area Persistent Airborne Video
Kannappan Palaniappan, Raghuveer M. Rao and Guna Seetharaman
Collaborative Face Recognition Using a Network of Embedded Cameras
Vinod Kulathumani, Srikanth Parupati, Arun Ross and Raghavender Jillela
SATWARE
Daniel Massaguer, Sharad Mehrotra, Ronen Vaisenberg and Nalini Venkatasubramanian
Part VI: Distributed Video Networks - Applications
Video Analytics For Force Protection
Peter H. Tu, Glen W. Brooksby, Gianfranco Doretto, Donald W. Hamilton, Nils Krahnstoever, J. Brandon Laflen, Xiaoming Liu, Kedar A. Patwardhan, Thomas Sebastian, Yan Tong, Jilin Tu, Frederick W. Wheeler, Christopher M. Wynnyk, Yi Yao and Ting Yu
Recognizing Activity Structures in Massive Numbers of Simple Events Over Large Areas
Raymond D. Rimey
Distributed Sensor Networks for Visual Surveillance
Zeeshan Rasheed, Khurram Shafique, Li Yu, Munwai Lee, Krishnan Ramnath, TeaEun Choe, Omar Javed and Niels Haering
Ascertaining Human Identity in Night Environments
T. Bourlai, N. Kalka, D. Cao, B. Decann, Z. Jafri, F. Nicolo, C. Whitelam, J. Zuo, D. Adjeroh, B. Cukic, J. Dawson, L. Hornak, A. Ross and N.A. Schmid
Part VII: Educational Opportunities and Curriculum Development
Educational Opportunities in Video Sensor Networks
Thomas C. Henderson
| Erscheint lt. Verlag | 5.1.2011 |
|---|---|
| Zusatzinfo | XVII, 485 p. |
| Verlagsort | England |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Gewicht | 1008 g |
| Themenwelt | Informatik ► Grafik / Design ► Digitale Bildverarbeitung |
| Mathematik / Informatik ► Informatik ► Netzwerke | |
| Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik | |
| Technik ► Bauwesen | |
| Technik ► Nachrichtentechnik | |
| Schlagworte | Camera Networks • Distributed sensing • Educational Opportunities in Video Networks • Embedded Systems • Processing, Communications and Control • real-world applications • Video Networks • Vision and Graphics |
| ISBN-10 | 0-85729-126-2 / 0857291262 |
| ISBN-13 | 978-0-85729-126-4 / 9780857291264 |
| Zustand | Neuware |
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