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Distributed Sensor Networks for Visual Surveillance

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Book cover Distributed Video Sensor Networks

Abstract

Automated video analysis systems consist of large networks of distributed heterogeneous sensors. Such systems require extraction, integration, and representation of relevant data from sensors in real time. This book chapter identifies some of those major challenges and proposes solutions to them. In particular, efficient video processing for high-resolution sensors, data fusion across multiple modalities, robustness to changing environmental conditions and video processing errors, and intuitive user interfaces for visualization and analysis are discussed. Enabling technologies to overcome these challenges are also discussed. The case study of a wide area video analysis system deployed at ports in the states of Florida and California, USA is also presented. The components of the system are also detailed and justified using quantitative and qualitative results.

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Author information

Authors and Affiliations

  1. ObjectVideo, Inc., 11600 Sunrise Valley Dr., Reston, VA, 20191, USA

    Zeeshan Rasheed, Khurram Shafique, Li Yu, Munwai Lee, Krishnan Ramnath, TeaEun Choe, Omar Javed & Niels Haering

Authors
  1. Zeeshan Rasheed
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  2. Khurram Shafique
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  3. Li Yu
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  4. Munwai Lee
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  5. Krishnan Ramnath
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  6. TeaEun Choe
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  7. Omar Javed
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  8. Niels Haering
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Corresponding author

Correspondence to Zeeshan Rasheed .

Editor information

Editors and Affiliations

  1. Center for Research, Intelligent Systems, University of California, Riverside, Riverside, 92521, California, USA

    Bir Bhanu

  2. Dept. Computer Science & Engineering, University of California, Riverside, Riverside, 92521, California, USA

    Chinya V. Ravishankar

  3. Dept. Electrical Engineering, University of California, Riverside, Riverside, 92521, California, USA

    Amit K. Roy-Chowdhury

  4. Dept. Electrical Engineering, Packard Bldg., Stanford University, Serra Mall 350, Stanford, 94305-9505, California, USA

    Hamid Aghajan

  5. Dept. Computer Science, University of California, Los Angeles, Boelter Hall 4731, Los Angeles, 90095-1596, California, USA

    Demetri Terzopoulos

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© 2011 Springer-Verlag London Limited

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Rasheed, Z. et al. (2011). Distributed Sensor Networks for Visual Surveillance. In: Bhanu, B., Ravishankar, C., Roy-Chowdhury, A., Aghajan, H., Terzopoulos, D. (eds) Distributed Video Sensor Networks. Springer, London. https://doi.org/10.1007/978-0-85729-127-1_29

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  • DOI: https://doi.org/10.1007/978-0-85729-127-1_29

  • Publisher Name: Springer, London

  • Print ISBN: 978-0-85729-126-4

  • Online ISBN: 978-0-85729-127-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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