Introduction to Intelligent Surveillance

Beschreibung

This concise textbook/reference examines the fundamental aspects of intelligent computing for surveillance systems, from camera calibration and data capturing, to secure data transmission. The text covers digital surveillance from the level of an individual object or biometric feature, to the full lifecycle of an event. This is followed by a detailed discussion on how an intelligent system can independently monitor and learn from an event, and invite human input when necessary. The book concludes with a presentation on how the computation speed of the system can be enhanced through the use of supercomputing technology.

Topics and features:

• Contains exercises at the end of every chapter, and a glossary of important terms
  
• Provides a thorough introduction to the fundamentals of intelligent surveillance, including surveillance data capture and surveillance data compression
  
• Covers the key issues of computer network infrastructure, security, monitoring and forensics, and the essential aspects of object analysis
  
• Presents a detailed review of algorithms for surveillance data analytics using biometric features
  
• Introduces the concept of surveillance events, and discusses how artificial intelligence can be used for the automated observation and understanding of such events
  
• Reviews algorithms that apply decision-making approaches to determine the need for triggering an alarm to alert a member of security staff
  
• Describes the use of cutting-edge supercomputing technologies for digital surveillance, such as FPGA, GPU and parallel computing
  

Dr. Wei Qi Yan is an Associate Professor in the Department of Computer Scienceat Auckland University of Technology, New Zealand. His other publications include the Springer title Visual Cryptography for Image Processing and Security.

This concise textbook examines the fundamental aspects of intelligent computing for surveillance systems, from camera calibration and data capturing, to secure data transmission. The text covers digital surveillance from the level of an individual object or biometric feature, to the full lifecycle of an event. This is followed by a detailed discussion on how an intelligent system can independently monitor and learn from an event, and invite human input when necessary. The book concludes with a presentation on how the system can be enhanced through the use of supercomputing technology. Features: contains exercises at the end of every chapter, and a glossary; covers the key issues of computer network infrastructure, security, monitoring and forensics, and the essential aspects of object analysis; reviews algorithms for surveillance data analytics using biometric features; discusses the use of AI for surveillance events; reviews algorithms that trigger an alarm to alert a member of security staff.

Autor*in

Wei Qi Yan

Themen in »Introduction to Intelligent Surveillance«

Sensor Deployment and Calibrations Surveillance Data Encryption and Transmission Surveillance Data Analytics and Biometrics Surveillance Events and Alarm Making Supercomputing in Intelligent Surveillance

Stimmen zu »Introduction to Intelligent Surveillance«

“Presents a comprehensive evolutionary overview of the controversial topic of the digital monitoring of human life. … text presents a fascinating look at the disciplines that converge to translate real world data into a manageable, actionable model within the digital environment. … This book is recommended for individuals in the information security business … to help better understand how people arrived at the era of oversight and where it is possible to grow. Summing Up: Recommended. Graduate students through professionals/practitioners.” (T. D. Richardson, Choice, Vol. 54 (1), September, 2016)

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