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