05087oam 2200865I 450 991082421800332120200520144314.097866139091839781040060544104006054497804291070610429107064978128359673212835967339781439856857143985685010.1201/b11631 (CKB)2670000000151661(EBL)870695(OCoLC)778448505(SSID)ssj0000612005(PQKBManifestationID)11362722(PQKBTitleCode)TC0000612005(PQKBWorkID)10672590(PQKB)11686433(Au-PeEL)EBL870695(CaPaEBR)ebr10535473(CaONFJC)MIL390918(OCoLC)861618441(OCoLC)ocn861618441(CaSebORM)9781439856857(MiAaPQ)EBC870695(OCoLC)659750495(FINmELB)ELB140920(EXLCZ)99267000000015166120180331d2012 uy 0engur|n|---|||||txtccrHandbook on soft computing for video surveillance /editors, Sankar K. Pal, Alfredo Petrosino, Lucia Maddalena1st editionBoca Raton CRC Press2012Boca Raton :CRC Press,2012.1 online resource (342 p.)Chapman & Hall/CRC cryptography and network security seriesDescription based upon print version of record.9781439856840 1439856842 Includes bibliographical references.Front 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 Recognition8. 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 EnvironmentsPreface 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--Provided by publisher.Chapman & Hall/CRC cryptography and network security.Soft computingVideo surveillanceImage processingPattern recognition systemsSoft computing.Video surveillance.Image processing.Pattern recognition systems.006.3COM037000MAT003000TEC015000bisacshPal Sankar K117447Petrosino Alfredo275249Maddalena Lucia1604611MiAaPQMiAaPQMiAaPQBOOK9910824218003321Handbook on soft computing for video surveillance3929546UNINA