Hybrid World Object Tracking For A Virtual Teaching Agent

William Newman, David Franzel, Takeshi Matsumoto, Richard Leibbrandt, Trent Lewis, Martin Luerssen, David Powers

    Research output: Contribution to conferencePaper

    2 Citations (Scopus)

    Abstract

    Fast algorithms and heuristics for real-time object recognition and tracking have enabled a new hybrid world technology in which one can manipulate a real world object and have its virtual world counterpart move correspondingly. This technology has been developed as part of a teaching head platform that was initially designed for language teaching but is now also being used in a range of health-oriented contexts. In this paper, the requirements of the technology are motivated and elucidated, with direct comparison of our proposed heuristics with well known object recognition algorithms

    Original languageEnglish
    DOIs
    Publication statusPublished - 1 Dec 2010
    EventWCCI 2010 IEEE World Congress on Computational Intelligence -
    Duration: 18 Jul 2010 → …

    Conference

    ConferenceWCCI 2010 IEEE World Congress on Computational Intelligence
    Period18/07/10 → …

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  • Cite this

    Newman, W., Franzel, D., Matsumoto, T., Leibbrandt, R., Lewis, T., Luerssen, M., & Powers, D. (2010). Hybrid World Object Tracking For A Virtual Teaching Agent. Paper presented at WCCI 2010 IEEE World Congress on Computational Intelligence, . https://doi.org/10.1109/IJCNN.2010.5596503