Intelligent Surveillance Systems

  • Huihuan Qian
  • Xinyu Wu
  • Yangsheng Xu

Table of contents

  1. Front Matter
    Pages i-xix
  2. Huihuan Qian, Xinyu Wu, Yangsheng Xu
    Pages 1-5
  3. Huihuan Qian, Xinyu Wu, Yangsheng Xu
    Pages 7-21
  4. Huihuan Qian, Xinyu Wu, Yangsheng Xu
    Pages 23-43
  5. Huihuan Qian, Xinyu Wu, Yangsheng Xu
    Pages 45-69
  6. Huihuan Qian, Xinyu Wu, Yangsheng Xu
    Pages 71-80
  7. Huihuan Qian, Xinyu Wu, Yangsheng Xu
    Pages 81-91
  8. Huihuan Qian, Xinyu Wu, Yangsheng Xu
    Pages 93-117
  9. Huihuan Qian, Xinyu Wu, Yangsheng Xu
    Pages 119-154
  10. Back Matter
    Pages 155-166

About this book

Introduction

Surveillance systems have become increasingly popular. Full involvement of human operators has led to shortcomings, e.g. high labor cost, limited capability for multiple screens, inconsistency in long-duration, etc. Intelligent surveillance systems (ISSs) can supplement or even replace traditional ones. In ISSs, computer vision, pattern recognition, and artificial intelligence technologies are used to identify abnormal behaviours in videos. They present the development of real-time behaviour-based intelligent surveillance systems. The book focuses on the detection of individual abnormal behaviour based on learning and the analysis of dangerous crowd behaviour based on texture and optical flow. Practical systems include a real-time face classification and counting system, a surveillance robot system that utilizes video and audio information for intelligent interaction, and a robust person counting system for crowded environments.

Keywords

artificial intelligence computational intelligence computer vision pattern recognition surveillance

Authors and affiliations

  • Huihuan Qian
    • 1
  • Xinyu Wu
    • 2
  • Yangsheng Xu
    • 3
  1. 1., Mechanical and Automation EngineeringThe Chinese University of Hong KongShatin, New TerritoryChina, People's Republic
  2. 2.Shenzhen Inst. of Advanced TechnologyShenzhenChina, People's Republic
  3. 3., Mechanical and Automation EngineeringThe Chinese University of Hong KongShatin, New TerritoryChina, People's Republic

Bibliographic information

  • DOI https://doi.org/10.1007/978-94-007-1137-2
  • Copyright Information Springer Science+Business Media B.V. 2011
  • Publisher Name Springer, Dordrecht
  • eBook Packages Engineering
  • Print ISBN 978-94-007-1136-5
  • Online ISBN 978-94-007-1137-2
  • About this book
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