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003			ES-MaUEC
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007			cr nn 008mamaa
008			220601s2008 sz | o |||| 0|eng d
020			_a9783031792427
024	7		_a10.1007/978-3-031-79242-7 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aQA76.9 .C65 _b2008 EB
100	1		_aPelechano, Nuria _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9687576
245	1	0	_aVirtual Crowds : _bMethods, Simulation, and Control _cby Nuria Palechano, Norman Badler, Jan Allbeck
250			_a1st edition 2008
264		1	_aCham _bSpringer International Publishing _c2008
300			_a1 recurso en línea (XII, 176 páginas)
336			_atexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
347			_aarchivo de texto _bPDF
490	0		_aSynthesis Lectures on Computer Graphics and Animation _x1933-9003
505	0		_aIntroduction -- Crowd Simulation Methodology Survey -- Individual Differences in Crowds -- Framework (HiDAC + MACES + CAROSA) -- HiDAC: Local Motion -- MACES: Wayfinding with Communication and Roles -- CAROSA: Functional Crowds -- Initializing a Scenario -- Evaluating Crowds.
520			_aThere are many applications of computer animation and simulation where it is necessary to model virtual crowds of autonomous agents. Some of these applications include site planning, education, entertainment, training, and human factors analysis for building evacuation. Other applications include simulations of scenarios where masses of people gather, flow, and disperse, such as transportation centers, sporting events, and concerts. Most crowd simulations include only basic locomotive behaviors possibly coupled with a few stochastic actions. Our goal in this survey is to establish a baseline of techniques and requirements for simulating large-scale virtual human populations. Sometimes, these populations might be mutually engaged in a common activity such as evacuation from a building or area; other times they may be going about their individual and personal agenda of work, play, leisure, travel, or spectator. Computational methods to model one set of requirements may not mesh well with good approaches to another. By including both crowd and individual goals and constraints into a comprehensive computational model, we expect to simulate the visual texture and contextual behaviors of groups of seemingly sentient beings. Table of Contents: Introduction / Crowd Simulation Methodology Survey / Individual Differences in Crowds / Framework (HiDAC + MACES + CAROSA) / HiDAC: Local Motion / MACES: Wayfinding with Communication and Roles / CAROSA: Functional Crowds / Initializing a Scenario / Evaluating Crowds.
988			_aSynthesis Collection of Technology_2008
650		7	_2embne _9147541 _aSimulación por ordenador
700	1		_aBadler, Norman I. _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9687578
700	1		_aAllbeck, Jan M. _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9687577
776	0	8	_iPrinted edition: _z9783031792410
776	0	8	_iPrinted edition: _z9783031792434
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-031-79242-7 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b03/2023 _dz _eb _zSI