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Introduction to Intelligent Surveillance

Surveillance Data Capture, Transmission, and Analytics

Autor: Wei Qi Yan

Limbă:

Legare: Carte broșată

Editura: Springer International Publishing AG

Disponibilitate: La editor doar la comandă

Expediem în 17-27 zile

333.07 lei

This accessible textbook/reference reviews the fundamental concepts and practical issues involved in...

Informații despre carte

Autor

Wei Qi Yan

Limbă

engleză

Legare

Carte - Carte broșată

Publicat

2018

Pagini

191

EAN

9783319868110

Enbook ID

20119651

Editura

Springer International Publishing AG

Greutate

3605

Dimensiuni

155 x 235 x 11

Descriere completă

This accessible textbook/reference reviews the fundamental concepts and practical issues involved in designing digital surveillance systems that fully exploit the power of intelligent computing techniques. The book presents comprehensive coverage of all aspects of such systems, from camera calibration and data capture, to the secure transmission of surveillance data. In addition to the detection and recognition of objects and biometric features, the text also examines the automated observation of surveillance events, and how this can be enhanced through the use of deep learning methods and supercomputing technology. This updated new edition features extended coverage on face detection, pedestrian detection and privacy preservation for intelligent surveillance. 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, classroom-tested textbook is ideal for undergraduate and postgraduate-level courses on intelligent surveillance. Researchers interested in entering this area will also find the book suitable as a helpful self-study reference.

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Introduction to Intelligent Surveillance

Surveillance Data Capture, Transmission, and Analytics

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