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Introduction to intelligent surveill...

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Introduction to intelligent surveillancesurveillance data capture, transmission, and analytics /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Introduction to intelligent surveillanceby Wei Qi Yan.
Reminder of title:	surveillance data capture, transmission, and analytics /
Author:	Yan, Wei Qi.
Published:	Cham :Springer International Publishing :2019.
Description:	xiii, 222 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer eBooks
Subject:	Electronic surveillance.
Online resource:	https://doi.org/10.1007/978-3-030-10713-0
ISBN:	9783030107130$q(electronic bk.)

Introduction to intelligent surveillancesurveillance data capture, transmission, and analytics /
Yan, Wei Qi.

Introduction to intelligent surveillancesurveillance data capture, transmission, and analytics /[electronic resource] :by Wei Qi Yan. - 3rd ed. - Cham :Springer International Publishing :2019. - xiii, 222 p. :ill. (some col.), digital ;24 cm. - Texts in computer science,1868-0941. - Texts in computer science..

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.

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. 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.

ISBN: 9783030107130$q(electronic bk.)

Standard No.: 10.1007/978-3-030-10713-0doiSubjects--Topical Terms:

250276
Electronic surveillance.

LC Class. No.: TK7882.E2

Dewey Class. No.: 621.38928

Introduction to intelligent surveillancesurveillance data capture, transmission, and analytics /
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