Wide Area Surveillance

1. Front Matter

   Pages i-xiv

   PDF

2. Background Subtraction: Theory and Practice

   • Ahmed Elgammal

   Pages 1-21

3. Moving Cast Shadows Detection Methods for Video Surveillance Applications

   • Ariel Amato, Ivan Huerta, Mikhail G. Mozerov, F. Xavier Roca, Jordi Gonzàlez

   Pages 23-47

4. Moving Object Detection and Tracking in Wide Area Motion Imagery

   • Varun Santhaseelan, Vijayan K. Asari

   Pages 49-70

5. Recognizing Complex Human Activities via Crowd Context

   • Wongun Choi, Silvio Savarese

   Pages 71-91

6. Event Based Switched Dynamic Bayesian Networks for Autonomous Cognitive Crowd Monitoring

   • Simone Chiappino, Lucio Marcenaro, Pietro Morerio, Carlo Regazzoni

   Pages 93-122

7. Unified Face Representation for Individual Recognition in Surveillance Videos

   • Le An, Bir Bhanu, Songfan Yang

   Pages 123-136

8. Person Re-identification in Wide Area Camera Networks

   • Shishir K. Shah, Apurva Bedagkar-Gala

   Pages 137-162

9. Opportunities and Challenges of Terrain Aided Navigation Systems for Aerial Surveillance by Unmanned Aerial Vehicles

   • Samil Temel, Numan Unaldi

   Pages 163-177

10. Automatic Target Recognition in Multispectral and Hyperspectral Imagery Via Joint Transform Correlation

    • Mohammad S. Alam, Adel Sakla

    Pages 179-206

11. An Overview of Distributed Tracking and Control in Camera Networks

    • A. T. Kamal, C. Ding, A. A. Morye, J. A. Farrell, Amit K. Roy-Chowdhury

    Pages 207-234

12. Back Matter

    Pages 235-236

    PDF

The book describes a system for visual surveillance using intelligent cameras. The camera uses robust techniques for detecting and tracking moving objects. The real time capture of the objects is then stored in the database. The tracking data stored in the database is analysed to study the camera view, detect and track objects, and study object behavior. These set of models provide a robust framework for coordinating the tracking of objects between overlapping and non-overlapping cameras, and recording the activity of objects detected by the system.

• Activity Monitoring
• Airborne
• Computer Vision
• Digital System Architectures
• Image Registration
• Machine Learning
• Moving Object Detection
• Neural Networks
• Overlapping Cameras
• Pattern Recognition

• Electrical and Computer Engineering, University of Dayton, Ohio, USA

  Vijayan K. Asari

The Editor is an expert in the field of signal processing, image processing, neural networks, machine learning, computer vision, pattern recognition, and digital system architectures. His book series on Wide Area Surveillance will be very useful in developing intelligent systems and image reconstruction techniques that would have wide reaching applications in the field of applied engineering and computer science.

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