000			03554nam a22004695i 4500
001			978-0-387-22991-1
003			DE-He213
005			20250710083926.0
007			cr nn 008mamaa
008			100301s2005 xxu| s |||| 0|eng d
020			_a9780387229911 _a99780387229911
024	7		_a10.1007/b100343 _2doi
082	0	4	_a004.6 _223
100	1		_aRemagnino, Paolo. _eeditor.
245	1	0	_aAmbient Intelligence _h[recurso electrónico] : _bA Novel Paradigm / _cedited by Paolo Remagnino, Gian Luca Foresti, Tim Ellis.
264		1	_aNew York, NY : _bSpringer New York, _c2005.
300			_aXIII, 240 p. _bonline resource.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_arecurso en línea _bcr _2rdacarrier
347			_atext file _bPDF _2rda
505	0		_aAmbient Intelligence -- Towards Ambient Intelligence For The Domestic Care Of The Elderly -- Scaling Ambient Intelligence -- Video and Radio Attributes Extraction For Heterogeneous Location Estimation -- Distributed Active Multicamera Networks -- A Distributed Multi Camera Surveillance System -- Learning Ang Integrating Information From Multiple Camera Views -- Fast Online Speaker Adaptation For Smart Room Applications -- Stereo-Based 3D Face Recognition System For AMI -- Security and Building Intelligence -- Sustainable Cybernetics Systems.
520			_aAmbient Intelligence (AmI) is an integrating technology for supporting a pervasive and transparent infrastructure for implementing smart environments. Such technology is used to enable environments for detecting events and behaviors of people and for responding in a contextually relevant fashion. AmI proposes a multi-disciplinary approach for enhancing human machine interaction. Ambient Intelligence: A Novel Paradigm is a compilation of edited chapters describing current state-of-the-art and new research techniques including those related to intelligent visual monitoring, face and speech recognition, innovative education methods, as well as smart and cognitive environments. The authors start with a description of the iDorm as an example of a smart environment conforming to the AmI paradigm, and introduces computer vision as an important component of the system. Other computer vision examples describe visual monitoring for the elderly, classic and novel surveillance techniques using clusters of cameras installed in indoor and outdoor application domains, and the monitoring of public spaces. Face and speech recognition systems are also covered as well as enhanced LEGO blocks for novel educational purposes. The book closes with a provocative chapter on how a cybernetic system can be designed as the backbone of a human machine interaction.
650		0	_aCOMPUTER SCIENCE.
650		0	_aCOMPUTER COMMUNICATION NETWORKS.
650		0	_aARTIFICIAL INTELLIGENCE.
650		0	_aCOMPUTER VISION.
650	1	4	_aCOMPUTER SCIENCE.
650	2	4	_aCOMPUTER COMMUNICATION NETWORKS.
650	2	4	_aCOMPUTER IMAGING, VISION, PATTERN RECOGNITION AND GRAPHICS.
650	2	4	_aARTIFICIAL INTELLIGENCE (INCL. ROBOTICS).
650	2	4	_aIMAGE PROCESSING AND COMPUTER VISION.
700	1		_aForesti, Gian Luca. _eeditor.
700	1		_aEllis, Tim. _eeditor.
710	2		_aSpringerLink (Online service)
773	0		_tSpringer eBooks
776	0	8	_iPrinted edition: _z9780387229904
856	4	0	_uhttp://dx.doi.org/10.1007/b100343 _zVer el texto completo en las instalaciones del CICY
912			_aZDB-2-SCS
942			_2ddc _cER
999			_c56125 _d56125