Adaptive skin color modeling using the skin locus for selecting training pixels |
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Authors: | Maricor SorianoAuthor Vitae Birgitta MartinkauppiAuthor VitaeSami HuovinenAuthor Vitae Mika LaaksonenAuthor Vitae |
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Affiliation: | a National Institute of Physics, University of the Philippines, Quezon City, 1101 Diliman, Philippines b Machine Vision and Intelligent Systems Group, Infotech Oulu, University of Oulu, P.O. Box 4500, FIN-90014 Oulu, Finland c NOKIA Mobile Phones, P.O.Box 50, FIN-90571 Oulu, Finland |
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Abstract: | Techniques for color-based tracking of faces or hands often assume a static skin model yet skin color, as measured by a camera, can change when lighting changes. Therefore, for robust skin pixel detection, an adaptive skin color model must be employed. We demonstrate a chromaticity-based constraint to select training pixels in a scene for updating a dynamic skin color model under changing illumination conditions. The method makes use of the ‘skin locus’ of a camera, that is, the area in chromaticity space where skin chromaticity under various lighting and camera calibration conditions is observed. Skin color models derived from the technique are compared with that derived by a common spatial constraint and is shown to be more consistent with manually extracted ground truth skin model per frame even as localization errors increase. The technique is applied to color-based face tracking in indoor and outdoor videos and is shown to succeed more often than other color model adaptation techniques. |
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Keywords: | Face detection Tracking Color Skin locus Adaptation Chromaticity |
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