E-Books →Introduction to Intelligent Surveillance

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.