Segmentation and tracking of facial regions in color image sequences

Bernd Menser; Mathias Wien

doi:10.1117/12.386675

30 May 2000 Segmentation and tracking of facial regions in color image sequences

Bernd Menser, Mathias Wien

Proceedings Volume 4067, Visual Communications and Image Processing 2000; (2000) https://doi.org/10.1117/12.386675
Event: Visual Communications and Image Processing 2000, 2000, Perth, Australia

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.

Citation Download Citation

Bernd Menser and Mathias Wien "Segmentation and tracking of facial regions in color image sequences", Proc. SPIE 4067, Visual Communications and Image Processing 2000, (30 May 2000); https://doi.org/10.1117/12.386675

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