Yan Introduction to Intelligent Surveillance

1. Auflage 2016
ISBN: 978-3-319-28515-3
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, 148 Seiten, eBook

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.

Zielgruppe

Graduate

Autoren/Hrsg.

Yan, Wei Qi

Inhaltsverzeichnis

Introduction.- Surveillance Data Capturing and Compression.- Surveillance Data Secure Transmissions.- Surveillance Data Analytics.- Biometrics for Surveillance.- Visual Event Computing I.- Visual Event Computing II.- Surveillance Alarm Making.- Surveillance Computing.

Über Autor(innen)

Dr. Wei Qi Yan
is a Senior Lecturer in the Department of Computer Science at Auckland University of Technology, New Zealand. His other publications include the Springer title
Visual Cryptography for Image Processing and Security
.