東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

Introduction to intelligent surveill...

Yan, Wei Qi.

Linked to FindBook

Google Book

Amazon

博客來

Introduction to intelligent surveillance = surveillance data capture, transmission, and analytics /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Introduction to intelligent surveillance/ by Wei Qi Yan.
Reminder of title:	surveillance data capture, transmission, and analytics /
Author:	Yan, Wei Qi.
Published:	Cham :Springer International Publishing : : 2017.,
Description:	xiii, 191 p. :ill., digital ;24 cm.
[NT 15003449]:	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.
Contained By:	Springer eBooks
Subject:	Electronic surveillance. -
Online resource:	http://dx.doi.org/10.1007/978-3-319-60228-8
ISBN:	9783319602288

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

Introduction to intelligent surveillancesurveillance data capture, transmission, and analytics /[electronic resource] :by Wei Qi Yan. - 2nd ed. - Cham :Springer International Publishing :2017. - xiii, 191 p. :ill., digital ;24 cm.

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 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. 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: 9783319602288

Standard No.: 10.1007/978-3-319-60228-8doiSubjects--Topical Terms:

552360
Electronic surveillance.

LC Class. No.: TK7882.E2

Dewey Class. No.: 621.38928

Introduction to intelligent surveillance = surveillance data capture, transmission, and analytics /
LDR:03507nmm a2200325 a 4500 001 2105490
003 DE-He213
005 20170710140629.0
006 m d
007 cr nn 008maaau
008 180417s2017 gw s 0 eng d
020 $a 9783319602288 $q (electronic bk.)
020 $a 9783319602271 $q (paper)
024 7 $a 10.1007/978-3-319-60228-8 $2 doi
035 $a 978-3-319-60228-8
040 $a GP $c GP
041 0 $a eng
050 4 $a TK7882.E2
072 7 $a UYQP $2 bicssc
072 7 $a COM016000 $2 bisacsh
082 0 4 $a 621.38928 $2 23
090 $a TK7882.E2 $b Y21 2017
100 1 $a Yan, Wei Qi. $3 2088814
245 1 0 $a Introduction to intelligent surveillance $h [electronic resource] : $b surveillance data capture, transmission, and analytics / $c by Wei Qi Yan.
250 $a 2nd ed.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2017.
300 $a xiii, 191 p. : $b ill., digital ; $c 24 cm.
505 0 $a 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.
520 $a 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. 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.
650 0 $a Electronic surveillance. $3 552360
650 0 $a Computer security. $3 540555
650 1 4 $a Computer Science. $3 626642
650 2 4 $a Pattern Recognition. $3 891045
650 2 4 $a Computer Communication Networks. $3 775497
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer eBooks
856 4 0 $u http://dx.doi.org/10.1007/978-3-319-60228-8
950 $a Computer Science (Springer-11645)