Overview
- Describes the state of the art in intelligent surveillance, including the pipeline of a surveillance system
- Reviews issues of security, privacy and safety in intelligent surveillance, rather than only focusing on topics related to computer vision
- Investigates in depth the area of alarm-making problems in intelligent surveillance
- Updated new edition, featuring extended coverage on face detection, pedestrian detection and privacy preservation for intelligent surveillance
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Table of contents (9 chapters)
Keywords
About this book
This accessible textbook/reference reviews the fundamental concepts and practical issues involved in designing digital surveillance systems that fully exploit the power of intelligent computing techniques. The book presents comprehensive coverage of all aspects of such systems, from camera calibration and data capture, to the secure transmission of surveillance data. In addition to the detection and recognition of objects and biometric features, the text also examines the automated observation of surveillance events, and how this can be enhanced through the use of deep learning methods and supercomputing technology. This updated new edition features extended coverage on face detection, pedestrian detection and privacy preservation for intelligent surveillance.
Topics and features: contains review questions and exercises in every chapter, together with a glossary; describes the essentials of implementing an intelligent surveillance system and analyzing surveillance data, includinga range of biometric characteristics; examines the importance of network security and digital forensics in the communication of surveillance data, as well as issues of issues of privacy and ethics; discusses the Viola-Jones object detection method, and the HOG algorithm for pedestrian and human behavior recognition; reviews the use of artificial intelligence for automated monitoring of surveillance events, and decision-making approaches to determine the need for human intervention; presents a case study on a system that triggers an alarm when a vehicle fails to stop at a red light, and identifies the vehicle’s license plate number; investigates the use of cutting-edge supercomputing technologies for digital surveillance, such as FPGA, GPU and parallel computing.This concise, classroom-tested textbook is ideal for undergraduate and postgraduate-level courses on intelligent surveillance. Researchers interested in entering this area will alsofind the book suitable as a helpful self-study reference.
Authors and Affiliations
About the author
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.
Bibliographic Information
Book Title: Introduction to Intelligent Surveillance
Book Subtitle: Surveillance Data Capture, Transmission, and Analytics
Authors: Wei Qi Yan
DOI: https://doi.org/10.1007/978-3-319-60228-8
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer International Publishing AG 2017
Softcover ISBN: 978-3-319-86811-0Published: 12 May 2018
eBook ISBN: 978-3-319-60228-8Published: 10 July 2017
Edition Number: 2
Number of Pages: XIII, 191
Number of Illustrations: 16 b/w illustrations, 72 illustrations in colour
Topics: Pattern Recognition, Computer Communication Networks