Introduction to Intelligent Surveillance

Surveillance Data Capture, Transmission, and Analytics

Wei Qi Yan (Autor)

Buch | Hardcover

XIII, 222 Seiten

2019 | 3. Third Edition 2019
Springer International Publishing (Verlag)
978-3-030-10712-3 (ISBN)

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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.

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.

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.

Erscheinungsdatum	07.03.2019
Reihe/Serie	Texts in Computer Science
Zusatzinfo	XIII, 222 p. 99 illus., 80 illus. in color.
Verlagsort	Cham
Sprache	englisch
Maße	155 x 235 mm
Gewicht	511 g
Themenwelt	Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik
Schlagworte	Deep Learning in Intelligent Surveillance • Human Behavior Analysis • privacy preservation • Sensor Deployment and Calibrations • Supercomputing in Intelligent Surveillance • Surveillance Data Analytics and Biometrics • Surveillance Data Encryption and Transmission • Surveillance Events and Alarm Making
ISBN-10	3-030-10712-4 / 3030107124
ISBN-13	978-3-030-10712-3 / 9783030107123
Zustand	Neuware