Introduction to intelligent surveillance : surveillance data capture, transmission, and analytics
著者
書誌事項
Introduction to intelligent surveillance : surveillance data capture, transmission, and analytics
（Texts in computer science）
Springer, c2019
3rd ed
- : [hardback]
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注記
Includes bibliographical references and index
内容説明・目次
内容説明
This practically-oriented textbook introduces the fundamentals of designing digital surveillance systems powered by intelligent computing techniques. The text offers comprehensive coverage of each aspect of the system, from camera calibration and data capture, to the secure transmission of surveillance data, in addition to the detection and recognition of individual biometric features and objects. The coverage concludes with the development of a complete system for the automated observation of the full lifecycle of a surveillance event, enhanced by the use of artificial intelligence and supercomputing technology.
This updated third edition presents an expanded focus on human behavior analysis and privacy preservation, as well as deep learning methods.
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, including a 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 and accessible work serves as a classroom-tested textbook for graduate-level courses on intelligent surveillance. Researchers and engineers interested in entering this area will also find the book suitable as a helpful self-study reference.
目次
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
「Nielsen BookData」 より
