A survey of skin-color modeling and detection methods
Pattern Recognition
People detection and tracking using stereo vision and color
Image and Vision Computing
Adaptive multi-modal stereo people tracking without background modelling
Journal of Visual Communication and Image Representation
Saliency model-based face segmentation and tracking in head-and-shoulder video sequences
Journal of Visual Communication and Image Representation
A new person tracking method for human-robot interaction intended for mobile devices
MICAI'07 Proceedings of the artificial intelligence 6th Mexican international conference on Advances in artificial intelligence
Active shape model based segmentation and tracking of facial regions in color images
ICIAR'06 Proceedings of the Third international conference on Image Analysis and Recognition - Volume Part I
A comparative study on illumination preprocessing in face recognition
Pattern Recognition
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Faces and hands recorded under natural environments are frequently subject to illumination variations which affect their color appearance. This is a problem when the color cue is used to detect skin candidates at pixel level. Traditionally, color constancy has been suggested for correction, but after a lot of effort no good solution suitable for machine vision has emerged. However, many approaches have been proposed for general skin detection but they aretypically tested under mild changes in illumination chromaticity or do not define the variation range. This makes it difficult to evaluate their applicability for objects under varying illumination. This paper compares four state-of-the-art skin detection schemes under realistic conditions with drastic chromaticity change.