Video-Based Surveillance Systems

1. Front Matter

   Pages i-xiii

   PDF

2. Industrial Applications

   1. Front Matter

      Pages 1-1

      PDF

   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

      PDF

   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

      PDF

   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

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.

• Computer Vision
• Information
• Motor
• Performance
• Sensor
• communication
• image processing
• signal analysis
• signal processing

• 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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