Motion synthesis with adaptation and path fitting

Man Lung Lau, Chapmann Chow, Bartholomew Iu, Pouro Lee

Research output: Chapter in book / Conference proceedingChapter in an edited book (as author)Academic researchpeer-review

Abstract

In this paper, we present an algorithm for motion synthesis. We develop this algorithm as a part of a large crowd simulation project which simulates the motion of the people by using a large database of motion captured data. Two main features of this synthesis algorithm include generating motion along a given path with the speed matched and adapting the motion to the scaled skeleton. In some previous works, the similar algorithm are offline algorithm, memory consuming and possibly need to search neighbor time frames back and forth. In order to develop an online algorithm to be used in the large crowd simulation with small memory footprint, we develop this alternative solution.
Original languageEnglish
Title of host publicationArtificial Intelligence Techniques for Computer Graphics
Pages41-53
Number of pages13
DOIs
Publication statusPublished - 14 Nov 2008

Publication series

NameStudies in Computational Intelligence
Volume159
ISSN (Print)1860-949X

ASJC Scopus subject areas

  • Artificial Intelligence

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