LEADER 04743oam 2200733I 450 001 9910824218003321 005 20200520144314.0 010 $a0-429-10706-4 010 $a1-283-59673-3 010 $a9786613909183 010 $a1-4398-5685-0 024 7 $a10.1201/b11631 035 $a(CKB)2670000000151661 035 $a(EBL)870695 035 $a(OCoLC)778448505 035 $a(SSID)ssj0000612005 035 $a(PQKBManifestationID)11362722 035 $a(PQKBTitleCode)TC0000612005 035 $a(PQKBWorkID)10672590 035 $a(PQKB)11686433 035 $a(Au-PeEL)EBL870695 035 $a(CaPaEBR)ebr10535473 035 $a(CaONFJC)MIL390918 035 $a(CaSebORM)9781439856857 035 $a(MiAaPQ)EBC870695 035 $a(EXLCZ)992670000000151661 100 $a20180331d2012 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 00$aHandbook on soft computing for video surveillance /$feditors, Sankar K. Pal, Alfredo Petrosino, Lucia Maddalena 205 $a1st edition 210 1$aBoca Raton :$cCRC Press,$d2012. 215 $a1 online resource (342 p.) 225 1 $aChapman & Hall/CRC cryptography and network security series 300 $aDescription based upon print version of record. 311 $a1-4398-5684-2 320 $aIncludes bibliographical references. 327 $aFront Cover; Contents; Preface; About the Editors; List of Contributors; 1. Introduction to Video Surveillance Systems; 2. The Role of Soft Computing in Image Analysis: Rough-Fuzzy Approach; 3. Neural Networks in Video Surveillance: A Perspective View; 4. Video Summarization and Significance of Content: A Review; 5. Background Subtraction for Visual Surveillance: A Fuzzy Approach; 6. Sensor and Data Fusion: Taxonomy, Challenges, and Applications; 7. Independent Viewpoint Silhouette-Based Human Action Modeling and Recognition 327 $a8. Clustering for Multi-Perspective Video Analytics: A Soft Computing-Based Approach9. An Unsupervised Video Shot Boundary Detection Technique Using Fuzzy Entropy Estimation of Video Content; 10. Multi-Robot and Multi-Camera Patrolling; 11. A Network of Audio and Video Sensors for Monitoring Large Environments 330 $aPreface Video surveillance is the area of computer science devoted to real-time acquisition, processing, and management of videos coming from cameras installed in public and private areas, in order to automatically understand events happening at the monitored sites, eventually setting up an alarm. Because of the rapidly increasing number of surveillance cameras, it has become a key technology for security and safety, with applications ranging from fight against terrorism and crime, to private and public safety (e.g., in private buildings, transport networks, town centres, schools, and hospitals), and to the efficient management of transport networks and public facilities (e.g., traffic lights and railroad crossings). Video surveillance is an extremely interdisciplinary area, embracing the study of methods and algorithms for computer vision and pattern recognition, but also hardware for sensors and acquisition tools, computer architectures, wired and wireless communication infrastructures, and middleware. From an algorithmical standpoint, the general problem can be broken down into several steps, including motion detection, object classification, tracking, activity understanding, and semantic description, each of which poses its own challenges and hurdles for the system designers. Moreover, the scope of video surveillance is being extended to off-line multimedia analysis systems related to security and safety, thus entailing disciplines such as content-based video retrieval for visual data similarity retrieval and video mining for knowledge extraction; typical applications are in forensic video analysis and human behaviour analysis--$cProvided by publisher. 410 0$aChapman & Hall/CRC cryptography and network security. 606 $aSoft computing 606 $aVideo surveillance 606 $aImage processing 606 $aPattern recognition systems 615 0$aSoft computing. 615 0$aVideo surveillance. 615 0$aImage processing. 615 0$aPattern recognition systems. 676 $a006.3 686 $aCOM037000$aMAT003000$aTEC015000$2bisacsh 701 $aPal$b Sankar K$0117447 701 $aPetrosino$b Alfredo$0275249 701 $aMaddalena$b Lucia$01604611 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910824218003321 996 $aHandbook on soft computing for video surveillance$93929546 997 $aUNINA