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Intelligent Surveillance Systems

  • Book
  • © 2011

Overview

Authors:
  1. Huihuan Qian

    1. , Mechanical and Automation Engineering, The Chinese University of Hong Kong, Shatin, New Territory, China, People's Republic

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  2. Xinyu Wu

    1. Shenzhen Inst. of Advanced Technology, Shenzhen, China, People's Republic

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  3. Yangsheng Xu

    1. , Mechanical and Automation Engineering, The Chinese University of Hong Kong, Shatin, New Territory, China, People's Republic

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  • explains practical applications for ISS in an easily-accessible way;
  • presents the newest results on Intelligent Surveillance Systems;
  • includes dynamics analysis for crowd behaviour.
  • Includes supplementary material: sn.pub/extras

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Table of contents (8 chapters)

  1. Front Matter

    Pages i-xix
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  2. Introduction

    • Huihuan Qian, Xinyu Wu, Yangsheng Xu
    Pages 1-5

  3. Background/Foreground Detection

    • Huihuan Qian, Xinyu Wu, Yangsheng Xu
    Pages 7-21

  4. Segmentation and Tracking

    • Huihuan Qian, Xinyu Wu, Yangsheng Xu
    Pages 23-43

  5. Behavior Analysis of Individuals

    • Huihuan Qian, Xinyu Wu, Yangsheng Xu
    Pages 45-69

  6. Facial Analysis of Individuals

    • Huihuan Qian, Xinyu Wu, Yangsheng Xu
    Pages 71-80

  7. Behavior Analysis of Human Groups

    • Huihuan Qian, Xinyu Wu, Yangsheng Xu
    Pages 81-91

  8. Static Analysis of Crowds: Human Counting and Distribution

    • Huihuan Qian, Xinyu Wu, Yangsheng Xu
    Pages 93-117

  9. Dynamic Analysis of Crowd Behavior

    • Huihuan Qian, Xinyu Wu, Yangsheng Xu
    Pages 119-154

  10. Back Matter

    Pages 155-166
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Keywords

About this book

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.

Authors and Affiliations

  • , Mechanical and Automation Engineering, The Chinese University of Hong Kong, Shatin, New Territory, China, People's Republic

    Huihuan Qian, Yangsheng Xu

  • Shenzhen Inst. of Advanced Technology, Shenzhen, China, People's Republic

    Xinyu Wu

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