000			03285nam a2200397 a 4500
005			20250930135411.0
008			140402s2012 flua b 001 0 eng
020			_a9781439856840 (hbk.) _cRM366.44
020			_a1439856842 (hbk.)
039		9	_a201408211651 _bzaina _c201408131542 _dros _y04-02-2014 _zros
040			_aDLC _beng _cDLC _dYDX _dBTCTA _dYDXCP _dBWX _dE7B _dIUL _dOCLCQ _dCDX _dMYG _dDLC _dUKM
090			_aQA76.9.S63H368 3
090			_aQA76.9.S63 _bH368 3
245	0	0	_aHandbook on soft computing for video surveillance / _cedited by Sankar K. Pal, Alfredo Petrosino, Lucia Maddalena.
260			_aBoca Raton, FL : _bCRC Press, _c2012.
300			_axv, 318 p. : _bill. (some col.) ; _c24 cm.
490	1		_aChapman & Hall/CRC cryptography and network security series.
504			_aIncludes bibliographical 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	_aSoft computing. _962024
650		0	_aVideo surveillance.
650		0	_aImage processing.
650		0	_aPattern recognition systems.
700	1		_aPal, Sankar K.
700	1		_aPetrosino, Alfredo.
700	1		_aMaddalena, Lucia.
856	4	1	_uhttp://www.crcnetbase.com/isbn/9781439856840
907			_a.b15864480 _b2019-11-12 _c2019-11-12
942			_c01 _n0 _kQA76.9.S63H368 3
914			_avtls003555385
990			_azsz
991			_aFakulti Kejuruteraan dan Alam Bina
998			_al _b2014-02-04 _cm _da _feng _gflu _y0 _z.b15864480
999			_c566270 _d566270