000			02730cam a2200325 a 4500
001			17101159
003			APU
005			20150402163903.0
008			111230s2012 flua b 001 0 eng
010			_a 2011046676
020			_a9780071234771 (pbk.)
020			_a0071234772 (pbk.)
035			_a(OCoLC)ocn659750495
040			_aDLC _bENG _cDLC _dNEDA _dANA
042			_apcc
050	0	0	_aTK5105.59 _b.K34 2003
082	0	0	_a005.8 _222 _bKAH 2003
100	1		_4Kahate, Atul .
245	1	0	_aCryptography and network security / _cAtul Kahate.
260			_aIndia : _bTata McGraw Hill , _cc2003.
300			_axxii, 435 p. : _bill. ; _c23 cm.
504			_aIncludes references and index.
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"--Provided by publisher.
650		0	_aComputer networks _xSecurity measures. _977
650		0	_aCryptography _911359
776	1		_cElectronic resource $z 9781439856857
906			_a7 _bcbc _corignew _d1 _eecip _f20 _gy-gencatlg
942			_2lcc _cBook _01
999			_c7563 _d7563