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.
"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)