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Innovations in Defence Support Systems -3

Intelligent Paradigms in Security

  • Book
  • © 2011

Overview

Editors:
  1. Paolo Remagnino

    1. Faculty of Computing, Information Systems and Mathematics, Kingston University, Surrey, United Kingdom

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  2. Dorothy N. Monekosso

    1. Faculty of Computing and Engineering, School of Computing and Mathematics, University of Ulster, Newtownabbey, United Kingdom

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  3. Lakhmi C. Jain

    1. University of South Australia, Adelaide, Australia

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  • State-of-art research on defence support systems
  • Focuses on intelligent paradigms in security
  • Written by leading experts in the field

Part of the book series: Studies in Computational Intelligence (SCI, volume 336)

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Table of contents (8 chapters)

  1. Front Matter

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  2. Data Fusion in Modern Surveillance

    • Lauro Snidaro, Ingrid Visentini, Gian Luca Foresti
    Pages 1-21

  3. Distributed Intelligent Surveillance Systems Modeling for Performance Evaluation

    • Stefano Maludrottu, Alessio Dore, Carlo S. Regazzoni
    Pages 23-45

  4. Incremental Learning on Trajectory Clustering

    • Luis Patino, François Bremond, Monique Thonnat
    Pages 47-70

  5. Highly Accurate Estimation of Pedestrian Speed Profiles from Video Sequences

    • Panagiotis Sourtzinos, Dimitrios Makris, Paolo Remagnino
    Pages 71-81

  6. System-Wide Tracking of Individuals

    • Christopher Madden, Massimo Piccardi
    Pages 83-103

  7. A Scalable Approach Based on Normality Components for Intelligent Surveillance

    • Javier Albusac, José J. Castro-Schez, David Vallejo, Luis Jiménez-Linares, Carlos Glez-Morcillo
    Pages 105-145

  8. Distributed Camera Overlap Estimation – Enabling Large Scale Surveillance

    • Anton van den Hengel, Anthony Dick, Henry Detmold, Alex Cichowski, Christopher Madden, Rhys Hill
    Pages 147-182

  9. Multi-robot Teams for Environmental Monitoring

    • Maria Valera Espina, Raphael Grech, Deon De Jager, Paolo Remagnino, Luca Iocchi, Luca Marchetti et al.
    Pages 183-209

  10. Back Matter

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Keywords

About this book

This book is a continuation of our previous volumes on Innovations in Defence Support Systems. This book includes a sample of recent advances in intelligent monitoring. The contributions include:

 

 

·         Data fusion in modern surveillance

·         Distributed intelligent surveillance systems modeling for performance evaluation

·         Incremental learning on trajectory clustering

·         Pedestrian speed profiles from video sequence

·         System-wide tracking of individuals

·         A scalable approach based on normality components for intelligent surveillance

·         Distributed camera overlap estimation

·         Multi-robot team for environmental monitoring

 

The book is directed to the security experts, engineers, scientists, students and professors who are interested in intelligent monitoring.

Editors and Affiliations

  • Faculty of Computing, Information Systems and Mathematics, Kingston University, Surrey, United Kingdom

    Paolo Remagnino

  • Faculty of Computing and Engineering, School of Computing and Mathematics, University of Ulster, Newtownabbey, United Kingdom

    Dorothy N. Monekosso

  • University of South Australia, Adelaide, Australia

    Lakhmi C. Jain

Bibliographic Information

  • Book Title: Innovations in Defence Support Systems -3

  • Book Subtitle: Intelligent Paradigms in Security

  • Editors: Paolo Remagnino, Dorothy N. Monekosso, Lakhmi C. Jain

  • Series Title: Studies in Computational Intelligence

  • DOI: https://doi.org/10.1007/978-3-642-18278-5

  • Publisher: Springer Berlin, Heidelberg

  • eBook Packages: Engineering, Engineering (R0)

  • Copyright Information: Springer Berlin Heidelberg 2011

  • Hardcover ISBN: 978-3-642-18277-8Published: 04 March 2011

  • Softcover ISBN: 978-3-642-43359-7Published: 05 October 2014

  • eBook ISBN: 978-3-642-18278-5Published: 21 February 2011

  • Series ISSN: 1860-949X

  • Series E-ISSN: 1860-9503

  • Edition Number: 1

  • Number of Pages: XVIII, 212

  • Topics: Computational Intelligence, Artificial Intelligence

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