User Motion Prediction in Large Virtual Environments

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F09%3APU82673" target="_blank" >RIV/00216305:26230/09:PU82673 - isvavai.cz</a>

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

User Motion Prediction in Large Virtual Environments

Popis výsledku v původním jazyce

Motion prediction of various objects is important for work of many people. We have to distinguish between near and distant time prediction queries. The trajectory of an object represented by mathematical functions can be used for near time prediction. These formulas are often called motion functions and they use recent movements to predict future locations of the objects. It is impossible to use simple mathematical formulas to evaluate distant time queries, because the movement trajectory between current and distant future time can alter widely. Trajectory pattern of an object is suitable prediction method to take into account for both near and distant time queries. Consequently, data mining methods can mine trajectory patterns from historic movementsand these patterns can be used to predict the future objects movement. The best contemporary methods exploit combination of trajectory pattern method and motion function. This means that in case no trajectory pattern is found, the motion

Název v anglickém jazyce

User Motion Prediction in Large Virtual Environments

Popis výsledku anglicky

Motion prediction of various objects is important for work of many people. We have to distinguish between near and distant time prediction queries. The trajectory of an object represented by mathematical functions can be used for near time prediction. These formulas are often called motion functions and they use recent movements to predict future locations of the objects. It is impossible to use simple mathematical formulas to evaluate distant time queries, because the movement trajectory between current and distant future time can alter widely. Trajectory pattern of an object is suitable prediction method to take into account for both near and distant time queries. Consequently, data mining methods can mine trajectory patterns from historic movementsand these patterns can be used to predict the future objects movement. The best contemporary methods exploit combination of trajectory pattern method and motion function. This means that in case no trajectory pattern is found, the motion

Druh

D - Stať ve sborníku

CEP obor

IN - Informatika

OECD FORD obor

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Projekt

<a href="/cs/project/LC06008" target="_blank" >LC06008: Centrum počítačové grafiky</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2009

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

Proceedings of WSCG'09

ISBN

978-80-86943-93-0

ISSN

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e-ISSN

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Počet stran výsledku

8

Strana od-do

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Název nakladatele

University of West Bohemia in Pilsen

Místo vydání

Plzeň

Místo konání akce

Plzeň

Datum konání akce

2. 2. 2009

Typ akce podle státní příslušnosti

EUR - Evropská akce

Kód UT WoS článku

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