User Motion Prediction in Large Virtual Environments
The result's identifiers
Result code in 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>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
User Motion Prediction in Large Virtual Environments
Original language description
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
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
IN - Informatics
OECD FORD branch
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Result continuities
Project
<a href="/en/project/LC06008" target="_blank" >LC06008: Center of Computer Graphics</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2009
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of WSCG'09
ISBN
978-80-86943-93-0
ISSN
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e-ISSN
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Number of pages
8
Pages from-to
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Publisher name
University of West Bohemia in Pilsen
Place of publication
Plzeň
Event location
Plzeň
Event date
Feb 2, 2009
Type of event by nationality
EUR - Evropská akce
UT code for WoS article
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