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Introduction to Intelligent Surveillance (3rd Ed., 3rd ed. 2019) Surveillance Data Capture, Transmission, and Analytics Texts in Computer Science Series

Langue : Anglais
Couverture de l’ouvrage Introduction to Intelligent Surveillance

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.

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.

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

Updated new edition, featuring extended coverage on human behavior analysis, privacy preservation, and deep learning for intelligent surveillance

Date de parution :

Ouvrage de 222 p.

15.5x23.5 cm

Disponible chez l'éditeur (délai d'approvisionnement : 15 jours).

63,29 €

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