03449nam a2200457 a 4500001001000000003000700010005001700017006001900034007001500053008004100068010001700109020001800126020003500144035002200179035002300201035002500224035002300249035002100272040002700293050002500320082001400345245014100359260003600500300005400536490006400590504004100654520169100695533014702386650002802533650003202561650003002593650004102623655002902664700002702693700003202720700003002752710002802782830006602810856009602876999001902972EBC870695MiAaPQ20250821120434.0m     o  d |      cr cn|||||||||111230s2012    fluaf   sb    000 0 eng d  z  2011046676  z9781439856840  a9781439856857 (electronic bk.)  a(MiAaPQ)EBC870695  a(Au-PeEL)EBL870695  a(CaPaEBR)ebr10535473  a(CaONFJC)MIL390918  a(OCoLC)778448505  aMiAaPQcMiAaPQdMiAaPQ 4aQA76.9.S63bH36 201204a006.322300aHandbook on soft computing for video surveillanceh[electronic resource] /cedited by Sankar K. Pal, Alfredo Petrosino, Lucia Maddalena.  aBoca Raton :bCRC Press,c2012.  axv, 315 p., [8] p. of plates :bill. (some col.).1 aChapman & Hall/CRC cryptography and network security series  aIncludes bibliographical references.  a"Preface 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.  aElectronic reproduction. Ann Arbor, MI : ProQuest, 2015. Available via World Wide Web. Access may be limited to ProQuest affiliated libraries. 0aSoft computing.9400927 0aVideo surveillance.9400928 0aImage processing.9400929 0aPattern recognition systems.9400930 4aElectronic books.9351421 aPal, Sankar K.94009311 aPetrosino, Alfredo.94009321 aMaddalena, Lucia.94009332 aProQuest (Firm)9400934 0aChapman & Hall/CRC cryptography and network security.940093540uhttps://ebookcentral.proquest.com/lib/kuct-ebooks/detail.action?docID=870695zClick to View  c283003d283003