Introduction to Intelligent Surveillance
Introduction to Intelligent Surveillance
Springer | Image Processing Textbook | February 28, 2016 | ISBN-10: 3319285149 | 148 pages | pdf | 4.45 mb
Springer | Image Processing Textbook | February 28, 2016 | ISBN-10: 3319285149 | 148 pages | pdf | 4.45 mb
Authors: Yan, Wei Qi
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
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.
Number of Illustrations and Tables
31 illus., 38 in colour
Topics
Pattern Recognition
Computer Communication Networks
Click Here to Buy the Hardcover from Springer
Click Here for More books