LEADER 04332nam 22006255 450 001 9910255010903321 005 20200701010609.0 010 $a3-319-28515-7 024 7 $a10.1007/978-3-319-28515-3 035 $a(CKB)3710000000580297 035 $a(SSID)ssj0001616586 035 $a(PQKBManifestationID)16349405 035 $a(PQKBTitleCode)TC0001616586 035 $a(PQKBWorkID)14922017 035 $a(PQKB)10265325 035 $a(DE-He213)978-3-319-28515-3 035 $a(MiAaPQ)EBC6315148 035 $a(MiAaPQ)EBC5586632 035 $a(Au-PeEL)EBL5586632 035 $a(OCoLC)936412747 035 $a(PPN)191700940 035 $a(EXLCZ)993710000000580297 100 $a20160127d2016 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt 182 $cc 183 $acr 200 10$aIntroduction to Intelligent Surveillance /$fby Wei Qi Yan 205 $a1st ed. 2016. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2016. 215 $a1 online resource (XIII, 148 p. 69 illus., 38 illus. in color.) 225 1 $aTexts in Computer Science 300 $aBibliographic Level Mode of Issuance: Monograph 311 $a3-319-28514-9 327 $aIntroduction -- 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. 330 $aThis concise textbook/reference examines the fundamental aspects of intelligent computing for surveillance systems, from camera calibration and data capturing, to secure data transmission. The text covers digital surveillance from the level of an individual object or biometric feature, to the full lifecycle of an event. This is followed by a detailed discussion on how an intelligent system can independently monitor and learn from an event, and invite human input when necessary. The book concludes with a presentation on how the computation speed of the system can be enhanced through the use of supercomputing technology. Topics and features: Contains exercises at the end of every chapter, and a glossary of important terms Provides a thorough introduction to the fundamentals of intelligent surveillance, including surveillance data capture and surveillance data compression Covers the key issues of computer network infrastructure, security, monitoring and forensics, and the essential aspects of object analysis Presents a detailed review of algorithms for surveillance data analytics using biometric features Introduces the concept of surveillance events, and discusses how artificial intelligence can be used for the automated observation and understanding of such events Reviews algorithms that apply decision-making approaches to determine the need for triggering an alarm to alert a member of security staff Describes the use of cutting-edge supercomputing technologies for digital surveillance, such as FPGA, GPU and parallel computing This accessible work serves as a classroom-tested textbook on intelligent surveillance for undergraduate and postgraduate students, as well as a self-study reference for researchers entering this area. Dr. Wei Qi Yan is an Associate Professor in the Department of Computer Science at Auckland University of Technology, New Zealand. His other publications include the Springer title Visual Cryptography for Image Processing and Security. 410 0$aTexts in computer science. 606 $aPattern perception 606 $aComputer networks 606 $aPattern Recognition$3https://scigraph.springernature.com/ontologies/product-market-codes/I2203X 606 $aComputer Communication Networks$3https://scigraph.springernature.com/ontologies/product-market-codes/I13022 615 0$aPattern perception. 615 0$aComputer networks. 615 14$aPattern Recognition. 615 24$aComputer Communication Networks. 676 $a621.38928 700 $aYan$b Wei Qi$4aut$4http://id.loc.gov/vocabulary/relators/aut$0994732 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910255010903321 996 $aIntroduction to Intelligent Surveillance$92278470 997 $aUNINA