Vision-based sensor fusion for human-computer interaction
Conference Paper, Proceedings of (IROS) IEEE/RSJ International Conference on Intelligent Robots and Systems, Vol. 2, pp. 1120 - 1125, September, 2002
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.
BibTeX
@conference{Grange-2002-8566,author = {Sebastien Grange and Emilio Casanova and Terrence W. Fong and Charles Baur},
title = {Vision-based sensor fusion for human-computer interaction},
booktitle = {Proceedings of (IROS) IEEE/RSJ International Conference on Intelligent Robots and Systems},
year = {2002},
month = {September},
volume = {2},
pages = {1120 - 1125},
address = {Lausanne, Switzerland},
keywords = {perceptual user interface, computer vision, model-based tracking},
}
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