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Proceedings Paper

Segmentation and tracking of facial regions in color image sequences
Author(s): Bernd Menser; Mathias Wien
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Paper Abstract

In this paper a new algorithm for joint detection and segmentation of human faces in color images sequence is presented. A skin probability image is generated using a model for skin color. Instead of a binary segmentation to detect skin regions, connected operators are used to analyze the skin probability image at different threshold levels. A hierarchical scheme of operators using shape and texture simplifies the skin probability image. For the remaining connected components, the likelihood of being a face is estimated using principal components analysis. To track a detected face region through the sequence, the connected component that represent the face in the previous frame is projected into the current frame. Using the projected segment as a marker, connected operators extract the actual face region from the skin probability image.

Paper Details

Date Published: 30 May 2000
PDF: 10 pages
Proc. SPIE 4067, Visual Communications and Image Processing 2000, (30 May 2000); doi: 10.1117/12.386675
Show Author Affiliations
Bernd Menser, Rheinisch-Westfaelische Technische Hochschule Aachen (Germany)
Mathias Wien, Rheinisch-Westfaelische Technische Hochschule Aachen (Germany)


Published in SPIE Proceedings Vol. 4067:
Visual Communications and Image Processing 2000
King N. Ngan; Thomas Sikora; Ming-Ting Sun, Editor(s)

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