國立虎尾科技大學 |

Introduction to Intelligent Surveillance = Surveillance Data Capture, Transmission, and Analytics /

Record Type:	Language materials, printed : 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.
Description:	XIII, 222 p. 99 illus., 80 illus. in color.online resource. :
Contained By:	Springer Nature eBook
Subject:	Biometrics (Biology). -
Online resource:	https://doi.org/10.1007/978-3-030-10713-0
ISBN:	9783030107130

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. - 3rd ed. 2019. - XIII, 222 p. 99 illus., 80 illus. in color.online resource. - 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

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

1249740
Biometrics (Biology).

LC Class. No.: QH323.5

Dewey Class. No.: 570.15195

Introduction to Intelligent Surveillance = Surveillance Data Capture, Transmission, and Analytics /
LDR:03939nam a22004095i 4500 001 1007741
003 DE-He213
005 20200702184513.0
007 cr nn 008mamaa
008 210106s2019 gw | s |||| 0|eng d
020 $a 9783030107130 $9 978-3-030-10713-0
024 7 $a 10.1007/978-3-030-10713-0 $2 doi
035 $a 978-3-030-10713-0
050 4 $a QH323.5
072 7 $a UYQP $2 bicssc
072 7 $a COM016000 $2 bisacsh
072 7 $a UYQP $2 thema
072 7 $a UYQV $2 thema
082 0 4 $a 570.15195 $2 23
100 1 $a Yan, Wei Qi. $4 aut $4 http://id.loc.gov/vocabulary/relators/aut $3 1069182
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 3rd ed. 2019.
264 1 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2019.
300 $a XIII, 222 p. 99 illus., 80 illus. in color. $b online resource.
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
347 $a text file $b PDF $2 rda
490 1 $a Texts in Computer Science, $x 1868-0941
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 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.
650 0 $a Biometrics (Biology). $3 1249740
650 0 $a Artificial intelligence. $3 559380
650 0 $a Computer security. $3 557122
650 0 $a Computer communication systems. $3 1115394
650 1 4 $a Biometrics. $3 677095
650 2 4 $a Artificial Intelligence. $3 646849
650 2 4 $a Systems and Data Security. $3 677062
650 2 4 $a Computer Communication Networks. $3 669310
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
776 0 8 $i Printed edition: $z 9783030107123
776 0 8 $i Printed edition: $z 9783030107147
830 0 $a Texts in Computer Science, $x 1868-0941 $3 1254292
856 4 0 $u https://doi.org/10.1007/978-3-030-10713-0
912 $a ZDB-2-SCS
912 $a ZDB-2-SXCS
950 $a Computer Science (SpringerNature-11645)
950 $a Computer Science (R0) (SpringerNature-43710)