LEADER 04393nam 22005415 450 001 9910254812803321 005 20200703085919.0 010 $a3-319-60228-4 024 7 $a10.1007/978-3-319-60228-8 035 $a(CKB)4340000000062254 035 $a(DE-He213)978-3-319-60228-8 035 $a(MiAaPQ)EBC6315612 035 $a(MiAaPQ)EBC5577182 035 $a(Au-PeEL)EBL5577182 035 $a(OCoLC)994642685 035 $a(PPN)203671716 035 $a(EXLCZ)994340000000062254 100 $a20170710d2017 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aIntroduction to Intelligent Surveillance $eSurveillance Data Capture, Transmission, and Analytics /$fby Wei Qi Yan 205 $a2nd ed. 2017. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2017. 215 $a1 online resource (XIII, 191 p. 88 illus., 72 illus. in color.) 311 $a3-319-60227-6 320 $aIncludes bibliographical references and index. 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 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. 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 $a9910254812803321 996 $aIntroduction to Intelligent Surveillance$92278470 997 $aUNINA