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Video-Based Surveillance Systems

Computer Vision and Distributed Processing

  • Book
  • © 2002

Overview

Editors:
  1. Paolo Remagnino

    1. Digital Imaging Research Centre, Kingston University, UK

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  2. Graeme A. Jones

    1. Digital Imaging Research Centre, Kingston University, UK

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  3. Nikos Paragios

    1. Imaging and Visualization Department, Siemens Corporate Research, USA

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  4. Carlo S. Regazzoni

    1. Dept. of Biophysical and Electronic Engineering, University of Genova, Italy

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Table of contents (22 chapters)

  1. Front Matter

    Pages i-xiii
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  2. Industrial Applications

    1. Front Matter

      Pages 1-1
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    2. Real-Time Video Analysis at Siemens Corporate Research

      • Real-time Imaging Group
      Pages 3-28

    3. Aerial Video Survelliance and Exploitation

      • Rakesh Kumar
      Pages 29-38

    4. Two Examples of Indoor and Outdoor Surveillance Systems: Motivation, Design, and Testing

      • Ioannis Pavlidis, Vassilios Morellas
      Pages 39-50

    5. Visual Surveillance in Retail Stores and in the Home

      • Tomas Brodsky, Robert Cohen, Eric Cohen-Solal, Srinivas Gutta, Damian Lyons, Vasanth Philomin et al.
      Pages 51-61

  3. Detection and Tracking

    1. Front Matter

      Pages 63-63
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    2. Detecting and Tracking People in Complex Scenes

      • Yoshinori Kuno
      Pages 65-78

    3. Bayesian Modality Fusion for Tracking Multiple People with a Multi-Camera System

      • Ting-Hsun Chang, Shaogang Gong
      Pages 79-87

    4. Tracking Groups of People for Video Surveillance

      • Frederic Cupillard, Francois Bremond, Monique Thonnat
      Pages 89-100

    5. Colour-Invariant Motion Detection under Fast Illumination Changes

      • Ming Xu, Tim Ellis
      Pages 101-111

    6. Face and Facial Feature Tracking

      • Jörgen Ahlberg
      Pages 113-121

    7. Object Tracking and Shoslif Tree Based Classification Using Shape and Color Features

      • Lucio Marcenaro, Franco Oberti, Carlo S. Regazzoni
      Pages 123-134

    8. An Improved Adaptive Background Mixture Model for Real-time Tracking with Shadow Detection

      • P. KaewTraKulPong, R. Bowden
      Pages 135-144

    9. The Sakbot System for Moving Object Detection and Tracking

      • R. Cucchiara, C. Grana, G. Neri, M. Piccardi, A. Prati
      Pages 145-157

    10. Assessment of Image Processing Techniques as a means of Improving Personal Security in Public Transport

      • Luis M. Fuentes, Sergio A. Velastin
      Pages 159-166

    11. On the Use of Colour Filtering in an Integrated Real-Time People Tracking System

      • N. T. Siebel, S. J. Maybank
      Pages 167-175

  4. Event Detection and Analysis

    1. Front Matter

      Pages 177-177
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    2. Modeling and Recognition of Human Actions Using a Stochastic Approach

      • Esther B. Koller-Meier, Luc Van Gool
      Pages 179-191

    3. Vigilant

      • Darrel Greenhill, Paolo Remagnino, Graeme A. Jones
      Pages 193-204
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Keywords

About this book

Monitoring of public and private sites has increasingly become a very sensitive issue resulting in a patchwork of privacy laws varying from country to country -though all aimed at protecting the privacy of the citizen. It is important to remember, however, that monitoring and vi­ sual surveillance capabilities can also be employed to aid the citizen. The focus of current development is primarily aimed at public and cor­ porate safety applications including the monitoring of railway stations, airports, and inaccessible or dangerous environments. Future research effort, however, has already targeted citizen-oriented applications such as monitoring assistants for the aged and infirm, route-planning and congestion-avoidance tools, and a range of environment al monitoring applications. The latest generation of surveillance systems has eagerly adopted re­ cent technological developments to produce a fully digital pipeline of digital image acquisition, digital data transmission and digital record­ ing. The resultant surveillance products are highly-fiexihle, capahle of generating forensic-quality imagery, and ahle to exploit existing Internet and wide area network services to provide remote monitoring capability.

Editors and Affiliations

  • Digital Imaging Research Centre, Kingston University, UK

    Paolo Remagnino, Graeme A. Jones

  • Imaging and Visualization Department, Siemens Corporate Research, USA

    Nikos Paragios

  • Dept. of Biophysical and Electronic Engineering, University of Genova, Italy

    Carlo S. Regazzoni

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