000			03090nam a22004695i 4500
001			978-1-4614-2392-8
003			DE-He213
005			20140220083246.0
007			cr nn 008mamaa
008			120405s2012 xxu| s |||| 0|eng d
020			_a9781461423928 _9978-1-4614-2392-8
024	7		_a10.1007/978-1-4614-2392-8 _2doi
050		4	_aTK7888.4
072		7	_aTJFC _2bicssc
072		7	_aTEC008010 _2bisacsh
082	0	4	_a621.3815 _223
100	1		_aFernández-Berni, Jorge. _eauthor.
245	1	0	_aLow-Power Smart Imagers for Vision-Enabled Sensor Networks _h[electronic resource] / _cby Jorge Fernández-Berni, Ricardo Carmona-Galán, Ángel Rodríguez-Vázquez.
264		1	_aNew York, NY : _bSpringer New York, _c2012.
300			_aXXIII, 156 p. 109 illus. _bonline resource.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
347			_atext file _bPDF _2rda
505	0		_aIntroduction -- Vision-enabled WSN Nodes: State of the Art -- Processing Primitives for Image Simplification -- VLSI Implementation of Linear Diffusion -- FLIP-Q: A QCIF Resolution Focal-plane Array for Low-power Image Processing -- Wi-FLIP: A Low-power Vision-enabled WSN Node -- Case Study: Early Detection of Forest Fires.
520			_aThis book presents a comprehensive, systematic approach to the development of vision system architectures that employ sensory-processing concurrency and parallel processing to meet the autonomy challenges posed by a variety of safety and surveillance applications.  Coverage includes a thorough analysis of resistive diffusion networks embedded within an image sensor array. This analysis supports a systematic approach to the design of spatial image filters and their implementation as vision chips in CMOS technology. The book also addresses system-level considerations pertaining to the embedding of these vision chips into vision-enabled wireless sensor networks.  Describes a system-level approach for designing of vision devices and  embedding them into vision-enabled, wireless sensor networks; Surveys state-of-the-art, vision-enabled WSN nodes; Includes details of specifications and challenges of vision-enabled WSNs; Explains architectures for low-energy CMOS vision chips with embedded, programmable spatial filtering capabilities; Includes considerations pertaining to the integration of vision chips into off-the-shelf WSN platforms.
650		0	_aEngineering.
650		0	_aElectronics.
650		0	_aSystems engineering.
650	1	4	_aEngineering.
650	2	4	_aCircuits and Systems.
650	2	4	_aElectronics and Microelectronics, Instrumentation.
650	2	4	_aSignal, Image and Speech Processing.
700	1		_aCarmona-Galán, Ricardo. _eauthor.
700	1		_aRodríguez-Vázquez, Ángel. _eauthor.
710	2		_aSpringerLink (Online service)
773	0		_tSpringer eBooks
776	0	8	_iPrinted edition: _z9781461423911
856	4	0	_uhttp://dx.doi.org/10.1007/978-1-4614-2392-8
912			_aZDB-2-ENG
999			_c101274 _d101274