Tree Approximations to Markov Random Fields
IEEE Transactions on Pattern Analysis and Machine Intelligence
A fast algorithm for tracking human faces based on chromatic histograms
Pattern Recognition Letters
Mixture model for face-color modeling and segmentation
Pattern Recognition Letters
Statistical color models with application to skin detection
International Journal of Computer Vision
Skin-Color Modeling and Adaptation
ACCV '98 Proceedings of the Third Asian Conference on Computer Vision-Volume II
LAFTER: Lips and Face Real-Time Tracker
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
A New Robust Face Detection in Color Images
FGR '02 Proceedings of the Fifth IEEE International Conference on Automatic Face and Gesture Recognition
Skin Color-Based Video Segmentation under Time-Varying Illumination
IEEE Transactions on Pattern Analysis and Machine Intelligence
A survey of skin-color modeling and detection methods
Pattern Recognition
Naked image detection based on adaptive and extensible skin color model
Pattern Recognition
Face segmentation using skin-color map in videophone applications
IEEE Transactions on Circuits and Systems for Video Technology
Colour image segmentation in various illumination circumstances
CSECS '10 Proceedings of the 9th WSEAS international conference on Circuits, systems, electronics, control & signal processing
A skin detection approach based on the Dempster--Shafer theory of evidence
International Journal of Approximate Reasoning
Skin detection by dual maximization of detectors agreement for video monitoring
Pattern Recognition Letters
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Up-to-date skin detection techniques use adaptive skin color modeling to overcome the varying skin color problem. Most methods for tracking skin regions in videos utilize the correlation between contiguous frames. This paper proposes a new approach for detecting skin in a single image. This approach uses a local skin model to shift a globally trained skin model to adapt the final skin model to the current image. Experimental results show that the proposed method can achieve better accuracy. Two improvements for speeding up the processing are also discussed.