Automatic keyframing of human actions for computer animation

Jordi Gonzàlez, Javier Varona, F. Xavier Roca, Juan José Villanueva

    Research output: Contribution to journalArticleResearchpeer-review

    1 Citation (Scopus)

    Abstract

    This paper presents a novel human action model based on key-frames which is suitable for animation purposes. By defining an action as a sequence of time-ordered body posture configurations, we consider that the most characteristic postures (called key-frames) are enough for modeling such an action. As characteristic postures are found to correspond to low likelihood values, we build a human action eigenspace, called aSpace, which is used to estimate the likelihood value for each posture. Once the key-frames have been found automatically, they are used to build a human action model called p-action by means of interpolation between key-frames. This parameterized model represents the time evolution of the human body posture during a prototypical action, and it can be used for computer animation. As a result, realistic and smooth motion is achieved. Furthermore, realistic virtual sequences involving several actions can be automatically generated. © Springer-Verlag Berlin Heidelberg 2003.
    Original languageEnglish
    Pages (from-to)287-296
    JournalLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    Volume2652
    Publication statusPublished - 1 Dec 2003

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