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Surveillance in Action

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Cover of 'Surveillance in Action'

Table of Contents

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    Book Overview
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    Chapter 1 A Survey of Using Biometrics for Smart Visual Surveillance: Gait Recognition
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    Chapter 2 Comparative Face Soft Biometrics for Human Identification
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    Chapter 3 Video-Based Human Respiratory Wavelet Extraction and Identity Recognition
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    Chapter 4 A Study on Human Recognition Using Auricle and Side View Face Images
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    Chapter 5 Cross-Spectral Iris Matching for Surveillance Applications
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    Chapter 6 Facial Surveillance and Recognition in the Passive Infrared Bands
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    Chapter 7 Deep Feature Learning for Classification When Using Single Sensor Multi-wavelength Based Facial Recognition Systems in SWIR Band
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    Chapter 8 Managing Uncertainty from the Sky: Surveillance Through Three Generations of Commercial Earth Observation Satellites
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    Chapter 9 Drones Surveillance—Challenges and Techniques
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    Chapter 10 Early Warning Against Stealth Aircraft, Missiles and Unmanned Aerial Vehicles
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    Chapter 11 Mobile Data Fusion for Maritime Surveillance
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    Chapter 12 Mobile Stand-off and Stand-in Surveillance Against Biowarfare and Bioterrorism Agents
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    Chapter 13 Social Networks for Surveillance and Security: ‘Using Online Techniques to Make Something Happen in the Real or Cyber World’
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    Chapter 14 Surveillance, Targeted Killing and the Fight Against Terrorism: A Fair-Played Game?
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    Chapter 15 Data Hiding in the Wild: Where Computational Intelligence Meets Digital Forensics
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    Chapter 16 Methods to Detect Cyberthreats on Twitter
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    Chapter 17 Detecting Users Who Share Extremist Content on Twitter
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    Chapter 18 An Organizational Visualization Profiler Tool Based on Social Interactions
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    Chapter 19 Cyber-Surveillance Analysis for Supercomputing Environments
Attention for Chapter 18: An Organizational Visualization Profiler Tool Based on Social Interactions
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Citations

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Chapter title
An Organizational Visualization Profiler Tool Based on Social Interactions
Chapter number 18
Book title
Surveillance in Action
Published by
Springer, Cham, January 2018
DOI 10.1007/978-3-319-68533-5_18
Book ISBNs
978-3-31-968532-8, 978-3-31-968533-5
Authors

Panagiotis Karampelas

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 2 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 2 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 2 100%
Readers by discipline Count As %
Computer Science 2 100%