Introduction to Intelligent Surveillance: Surveillance Data Capture, Transmission, and Analytics

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Wei Qi Yan

Introduction to Intelligent Surveillance

Surveillance Data Capture, Transmission, and Analytics

Wei Qi Yan

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English

Springer Nature Switzerland AG
05 March 2019

Computer security; Network security; Pattern recognition; Computer vision

Series: Texts in Computer Science

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 engineersinterested in entering this area will also find the book suitable as a helpful self-study reference.

By: Wei Qi Yan
Imprint: Springer Nature Switzerland AG
Country of Publication: Switzerland
Edition: 3rd ed. 2019
Dimensions: Height: 235mm, Width: 155mm,
Weight: 524g
ISBN: 9783030107123
ISBN 10: 3030107124
Series: Texts in Computer Science
Pages: 222
Publication Date: 05 March 2019
Audience: Professional and scholarly , Undergraduate
Format: Hardback
Publisher's Status: Active

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.

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.