Introduction to intelligent surveillance [electronic resource] / Wei Qi Yan.
2016
TK7882.E2
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Linked Resource
Online Access
Concurrent users
Unlimited
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Authorized users
Document Delivery Supplied
Can lend chapters, not whole ebooks
Details
Title
Introduction to intelligent surveillance [electronic resource] / Wei Qi Yan.
Author
Yan, Wei Qi, author.
ISBN
9783319285153 (electronic book)
3319285157 (electronic book)
9783319285146
3319285149
3319285157 (electronic book)
9783319285146
3319285149
Published
[Switzerland] : Springer, 2016.
Language
English
Description
1 online resource (xiii, 148 pages) : illustrations.
Item Number
10.1007/978-3-319-28515-3 doi
Call Number
TK7882.E2
Dewey Decimal Classification
621.389/28
Summary
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 This accessible work serves as a classroom-tested textbook on intelligent surveillance for undergraduate and postgraduate students, as well as a self-study reference for researchers entering this area. Dr. Wei Qi Yan is an Associate Professor 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.
Bibliography, etc. Note
Includes bibliographical references and index.
Access Note
Access limited to authorized users.
Source of Description
Online resource; title from PDF title page (SpringerLink, viewed February 3, 2016).
Available in Other Form
Print version: 9783319285146
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Table of Contents
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.
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.