MARC Record from Library of Congress

LEADER: 02871nam a22003618a 4500
001 2011046676
003 DLC
005 20120103164305.0
008 111230s2012 flu b 001 0 eng
010 $a 2011046676
020 $a9781439856840 (hardback)
040 $aDLC$cDLC
042 $apcc
050 00 $aQA76.9.S63$bH36 2012
082 00 $a006.3$223
084 $aCOM037000$aMAT003000$aTEC015000$2bisacsh
245 00 $aHandbook on soft computing for video surveillance /$ceditors, Sankar K. Pal, Alfredo Petrosino, Lucia Maddalena.
260 $aBoca Raton :$bCRC Press,$c2012.
263 $a1212
300 $ap. cm.
490 0 $aChapman & Hall/CRC cryptography and network security series ;$v6
520 $a"Preface Video surveillance is the area of computer science devoted to real-time acquisition, processing, and management of videos coming from cameras installed in public and private areas, in order to automatically understand events happening at the monitored sites, eventually setting up an alarm. Because of the rapidly increasing number of surveillance cameras, it has become a key technology for security and safety, with applications ranging from fight against terrorism and crime, to private and public safety (e.g., in private buildings, transport networks, town centres, schools, and hospitals), and to the efficient management of transport networks and public facilities (e.g., traffic lights and railroad crossings). Video surveillance is an extremely interdisciplinary area, embracing the study of methods and algorithms for computer vision and pattern recognition, but also hardware for sensors and acquisition tools, computer architectures, wired and wireless communication infrastructures, and middleware. From an algorithmical standpoint, the general problem can be broken down into several steps, including motion detection, object classification, tracking, activity understanding, and semantic description, each of which poses its own challenges and hurdles for the system designers. Moreover, the scope of video surveillance is being extended to off-line multimedia analysis systems related to security and safety, thus entailing disciplines such as content-based video retrieval for visual data similarity retrieval and video mining for knowledge extraction; typical applications are in forensic video analysis and human behaviour analysis"--$cProvided by publisher.
504 $aIncludes bibliographical references and index.
650 0 $aSoft computing.
650 0 $aVideo surveillance.
650 0 $aImage processing.
650 0 $aPattern recognition systems.
650 7 $aCOMPUTERS / Machine Theory.$2bisacsh
650 7 $aMATHEMATICS / Applied.$2bisacsh
650 7 $aTECHNOLOGY & ENGINEERING / Imaging Systems.$2bisacsh
700 1 $aPal, Sankar K.
700 1 $aPetrosino, Alfredo.
700 1 $aMaddalena, Lucia.