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Adaptive Skin Color Segmentation in a Single Image using Image Feedback  

Do, Jun-Hyeong (Constitutional Biology and Medical Engineering Research Center, KIOM)
Kim, Keun-Ho (Constitutional Biology and Medical Engineering Research Center, KIOM)
Kim, Jong-Yeol (Constitutional Biology and Medical Engineering Research Center, KIOM)
Publication Information
Journal of the Institute of Electronics Engineers of Korea SP / v.46, no.3, 2009 , pp. 112-118 More about this Journal
Abstract
Skin color segmentation techniques have been widely utilized for face/hand detection and tracking in many applications such as a diagnosis system using facial information, human-robot interaction, an image retrieval system. In case of a video image, it is common that the skin color model for a target is updated every frame for the robust target tracking against illumination change. As for a single image, however, most of studies employ a fixed skin color model which may result in low detection rate or high false positive errors. In this paper, we propose a novel method for effective skin color segmentation in a single image, which modifies the conditions for skin color segmentation iteratively by the image feedback of segmented skin color region in a given image.
Keywords
피부색 검출;영상 피드백;적응적 검출;
Citations & Related Records
Times Cited By KSCI : 3  (Citation Analysis)
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