Skip to main content
SpringerLink
Log in

Multisensor Surveillance Systems

The Fusion Perspective

  • Book
  • © 2003

Overview

Editors:
  1. Gian Luca Foresti

    1. University of Udine, Italy

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  2. Carlo S. Regazzoni

    1. University of Genova, Italy

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  3. Pramod K. Varshney

    1. Syracuse University, USA

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

This is a preview of subscription content, log in via an institution to check access.

Access this book

Log in via an institution
eBook USD 129.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book USD 169.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access

Licence this eBook for your library

Institutional subscriptions

Table of contents (15 chapters)

  1. Front Matter

    Pages i-xiii
    Download chapter PDF

  2. Multisensor Fusion in Surveillance Systems

    1. Front Matter

      Pages 1-5
      Download chapter PDF

    2. A Distributed Sensor Network for Video Surveillance of Outdoors

      • G. L. Foresti, L. Snidaro
      Pages 7-27

    3. Distributed Metadata Extraction Strategies in a Multi-Resolution Dual Camera System

      • L. Marcenaro, L. Marchesotti, C. S. Regazzoni
      Pages 29-41

    4. Automatic Target Acquisition and Tracking with Cooperative Fixed and PTZ Video Cameras

      • B. Abidi, A. Koschan, S. Kang, M. Mitckes, M. Abidi
      Pages 43-59

    5. Learning the Fusion of Video Data Streams

      • J. Renno, P. Remagnino, G. A. Jones
      Pages 61-79

    6. Image Fusion Using the Expectation-Maximization Algorithm and a Gaussian Mixture Model

      • Rick S. Blum, Jinzhong Yang
      Pages 81-95

    7. Video-Based Surveillance for Chem-Bio Protection of Buildings

      • Ioannis Pavlidis, Christos Stathopoulos, Tony Faltesek
      Pages 97-111

  3. Detection, Tracking and Recognition

    1. Front Matter

      Pages 113-117
      Download chapter PDF

    2. Second Generation Prefiltering for Video Compression and Analysis in Multisensor Surveillance Systems

      • Francesco Ziliani, Julien Reichel
      Pages 119-133

    3. Acquiring Multi-View Video with an Active Camera System

      • Robert T. Collins, Omead Amidi, Takeo Kanade
      Pages 135-147

    4. A Computational Framework for Simultaneous Real-Time High-Level Video Representation

      • Aishy Amer
      Pages 149-181

    5. Multi-Camera Surveillance

      • Fatih Porikli
      Pages 183-198

    6. Detecting Dangerous Behaviors of Mobile Objects in Parking Areas

      • Gian Luca Foresti, Giorgio Giacinto, Fabio Roli
      Pages 199-211

  4. Biometrics in Surveillance Systems

    1. Front Matter

      Pages 213-217
      Download chapter PDF

    2. Biometric Feature Extraction in a Multi-Camera Surveillance System

      • Shiloh L. Dockstader, A. Murat Tekalp
      Pages 219-234

    3. Fusion of Face Recognition Algorithms for Video-Based Surveillance Systems

      • Gian Luca Marcialis, Fabio Roli
      Pages 235-249

    4. Information Theory Based Face Tracking

      • Evangelos Loutas, Christophoros Nikou, Ioannis Pitas
      Pages 251-263

    5. Optimum Fusion Rules for Multimodal Biometric Systems

      • Lisa Osadciw, Pramod Varshney, Kalyan Veeramachaneni
      Pages 265-285

  5. Back Matter

    Pages 287-289
    Download chapter PDF
Back to top

Keywords

About this book

Monitoring of public and private sites is increasingly becoming a very important and critical issue, especially after the recent flurry of terrorist attacks including the one on the Word Trade Center in September 2001. It is, therefore, imperative that effective multisensor surveillance systems be developed to protect the society from similar attacks in the future. The new generation of surveillance systems to be developed have a specific requirement: they must be able to automatically identify criminal and terrorist activity without sacrificing individual privacy to the extent possible. Privacy laws concerning monitoring and surveillance systems vary from country to country but, in general, they try to protect the privacy of their citizens. Monitoring and visual surveillance has numerous other applications. It can be employed to help invalids or handicapped and to monitor the activities of elderly people. It can be used to monitor large events such as sporting events, as well. Nowadays, monitoring is employ~d in several different contexts including transport applications, such as monitoring of railway stations and airports, dangerous environments like nuclear facilities or traffic flows on roads and bridges. The latest generation of surveillance systems mainly rely on hybrid analog-digital, or completely digital video communications and processing methods and take advantage of the greater of flexibility offered by video processing algorithms that are capable focusing a human operator's attention on a set of interesting situations.

Editors and Affiliations

  • University of Udine, Italy

    Gian Luca Foresti

  • University of Genova, Italy

    Carlo S. Regazzoni

  • Syracuse University, USA

    Pramod K. Varshney

Bibliographic Information

Publish with us

Policies and ethics

Back to top

Search

Navigation