Hybrid World Object Tracking For A Virtual Teaching Agent

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

doi:10.1109/IJCNN.2010.5596503

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 conference › Paper › peer-review

3 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 language	English
DOIs	https://doi.org/10.1109/IJCNN.2010.5596503
Publication status	Published - 1 Dec 2010
Event	WCCI 2010 IEEE World Congress on Computational Intelligence - Duration: 18 Jul 2010 → …

Conference

Conference	WCCI 2010 IEEE World Congress on Computational Intelligence
Period	18/07/10 → …

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10.1109/IJCNN.2010.5596503

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AU - Matsumoto, Takeshi

AU - Leibbrandt, Richard

AU - Lewis, Trent

AU - Luerssen, Martin

AU - Powers, David

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AB - 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

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Hybrid World Object Tracking For A Virtual Teaching Agent

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