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Distributed Video Sensor Networks

  • Hardcover
"Distributed Video Sensor Networks" offers an in-depth survey of the research and developments in distributed camera networks. The broad spectrum of topics include video processing and video understanding, graphics, cognition and video networks, and more.
Distributed Video Sensor Networks
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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 Cramer-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
Short Title
Edition Description
Springer London Ltd
Publication Date
Springer London Ltd
Place of Publication
Country of Publication
United Kingdom
Edited by
Bir Bhanu, Chinya V. Ravishankar, Amit K. Roy-Chowdhury, Hamid Aghajan, Demetri Terzopoulos

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