Advertisement

Distributed Video Sensor Networks

  • Bir Bhanu
  • Chinya V. Ravishankar
  • Amit K. Roy-Chowdhury
  • Hamid Aghajan
  • Demetri Terzopoulos

Table of contents

  1. Front Matter
    Pages I-XVII
  2. Distributed Video Sensor Networks and Research Challenges

  3. Video Processing and Understanding

    1. Front Matter
      Pages 25-25
    2. J. K. Aggarwal
      Pages 27-39
    3. Allen Y. Yang, Subhransu Maji, C. Mario Christoudias, Trevor Darrell, Jitendra Malik, S. Shankar Sastry
      Pages 55-68
    4. Aswin C. Sankaranarayanan, Rama Chellappa, Richard G. Baraniuk
      Pages 85-101
    5. Ming-Hsuan Yang, Jeffrey Ho
      Pages 119-136
    6. Yannick Benezeth, Pierre-Marc Jodoin, Venkatesh Saligrama
      Pages 137-148
    7. Chen Wu, Hamid Aghajan
      Pages 149-160
  4. Simulation, Graphics, Cognition and Video Networks

    1. Front Matter
      Pages 161-161
    2. Demetri Terzopoulos, Faisal Z. Qureshi
      Pages 163-177
    3. Jan M. Allbeck, Norman I. Badler
      Pages 193-205
    4. Thomas C. Henderson
      Pages 207-213
  5. Wireless Video Sensor Networks, Communications and Control

    1. Front Matter
      Pages 231-231
    2. Tommaso Melodia, Ian F. Akyildiz
      Pages 233-246
    3. Bi Song, Chong Ding, Amit Roy-Chowdhury, Jay Farrell
      Pages 259-271
    4. Faisal Z. Qureshi, Demetri Terzopoulos
      Pages 273-287
    5. Ruixin Niu, Long Zuo, Engin Maşazade, Pramod K. Varshney
      Pages 303-317
  6. Distributed Embedded Cameras and Real-Time Video Analysis

    1. Front Matter
      Pages 319-319
    2. Giovanni Denina, Bir Bhanu, Hoang Thanh Nguyen, Chong Ding, Ahmed Kamal, Chinya Ravishankar et al.
      Pages 335-347
    3. Kannappan Palaniappan, Raghuveer M. Rao, Guna Seetharaman
      Pages 349-371
    4. Vinod Kulathumani, Srikanth Parupati, Arun Ross, Raghavender Jillela
      Pages 373-387
    5. Daniel Massaguer, Sharad Mehrotra, Ronen Vaisenberg, Nalini Venkatasubramanian
      Pages 389-402
  7. Applications of Distributed Video Networks

    1. Front Matter
      Pages 403-403
    2. Peter H. Tu, Glen W. Brooksby, Gianfranco Doretto, Donald W. Hamilton, Nils Krahnstoever, J. Brandon Laflen et al.
      Pages 405-425
    3. Zeeshan Rasheed, Khurram Shafique, Li Yu, Munwai Lee, Krishnan Ramnath, TeaEun Choe et al.
      Pages 439-449
    4. T. Bourlai, N. Kalka, D. Cao, B. Decann, Z. Jafri, F. Nicolo et al.
      Pages 451-467
  8. Educational Opportunities and Curriculum Development

    1. Front Matter
      Pages 469-469
    2. Thomas C. Henderson
      Pages 471-478
  9. Back Matter
    Pages 479-485

About this book

Introduction

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.

Keywords

Camera Networks Distributed Sensing Educational Opportunities in Video Networks Embedded Systems Processing, Communications and Control Real-world Applications Video Networks Vision and Graphics

Editors and affiliations

  • Bir Bhanu
    • 1
  • Chinya V. Ravishankar
    • 2
  • Amit K. Roy-Chowdhury
    • 3
  • Hamid Aghajan
    • 4
  • Demetri Terzopoulos
    • 5
  1. 1.Center for Research, Intelligent SystemsUniversity of California, RiversideRiversideUSA
  2. 2.Dept. Computer Science & EngineeringUniversity of California, RiversideRiversideUSA
  3. 3.Dept. Electrical EngineeringUniversity of California, RiversideRiversideUSA
  4. 4.Dept. Electrical Engineering, Packard Bldg.Stanford UniversityStanfordUSA
  5. 5.Dept. Computer ScienceUniversity of California, Los AngelesLos AngelesUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-0-85729-127-1
  • Copyright Information Springer-Verlag London Limited 2011
  • Publisher Name Springer, London
  • eBook Packages Computer Science
  • Print ISBN 978-0-85729-126-4
  • Online ISBN 978-0-85729-127-1
  • Buy this book on publisher's site
Industry Sectors
Pharma
Materials & Steel
Automotive
Biotechnology
Finance, Business & Banking
Electronics
IT & Software
Telecommunications
Consumer Packaged Goods
Energy, Utilities & Environment
Aerospace
Engineering