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Proceedings Paper

Real-time facial information acquisition system for multimodal interfaces
Author(s): Jian Wang; Yufeng Liang; Joseph Wilder
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Paper Abstract

A real-time face tracking and facial information acquisition system developed for multimodal man-machine communication s presented in this paper. The sadism can track a human face and report mouth position and other facial information in real-time. A stochastic model to characterize the skin color distribution of human skin is used to transform the hue image of the HSI color space to a skin color probability distribution image. A modified mean shift algorithm is then applied to find the mode of the probability distribution, which estimates the face window. To make the system more robust, 1D projections of the intensity image in potential face windows are proposed to verify and adjust face location.

Paper Details

Date Published: 27 August 1999
PDF: 7 pages
Proc. SPIE 3836, Machine Vision Systems for Inspection and Metrology VIII, (27 August 1999); doi: 10.1117/12.360259
Show Author Affiliations
Jian Wang, Rutgers Univ. (United States)
Yufeng Liang, Rutgers Univ. (United States)
Joseph Wilder, Rutgers Univ. (United States)

Published in SPIE Proceedings Vol. 3836:
Machine Vision Systems for Inspection and Metrology VIII
John W. V. Miller; Susan Snell Solomon; Bruce G. Batchelor, Editor(s)

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