The Robotics Institute

Carnegie Mellon Robotics Institute

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Abstract

This paper describes the development of efficient computer vision techniques for human-computer interaction. Our approach combines range and color information to achieve efficient, robust tracking using consumer-level computer hardware and cameras. In this paper, we present the design of the Human Oriented Tracking (HOT) library, present our initial results, and describe our current efforts to improve HOT's performance through model-based tracking.

Keywords

perceptual user interface, computer vision, model-based tracking

Notes

Text Reference

Sebastien Grange, Emilio Casanova, Terrence W. Fong, and Charles Baur, "Vision-based sensor fusion for human-computer interaction," IEEE/RSJ International Conference on Intelligent Robots and Systems, October, 2002.

BibTeX Reference

@inproceedings{Fong_2002_4159,
   author = "Sebastien Grange and Emilio Casanova and Terrence W Fong and Charles Baur",
   title = "Vision-based sensor fusion for human-computer interaction",
   booktitle = "IEEE/RSJ International Conference on Intelligent Robots and Systems",
   address = "Lausanne, Switzerland",
   month = "October",
   year = "2002",
}

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