Face Detection in Color Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
Mixture model for face-color modeling and segmentation
Pattern Recognition Letters
Statistical color models with application to skin detection
International Journal of Computer Vision
ECCV '96 Proceedings of the 4th European Conference on Computer Vision-Volume II - Volume II
Skin-Color Extraction in Images with Complex Background and Varying Illumination
WACV '02 Proceedings of the Sixth IEEE Workshop on Applications of Computer Vision
Skin Color Detection Using Multiple Cues
ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 1 - Volume 01
Skin Segmentation Using Color Pixel Classification: Analysis and Comparison
IEEE Transactions on Pattern Analysis and Machine Intelligence
Statistical classification of skin color pixels from MPEG videos
ACIVS'07 Proceedings of the 9th international conference on Advanced concepts for intelligent vision systems
A data-mining based skin detection method in JPEG compressed domain
FSKD'09 Proceedings of the 6th international conference on Fuzzy systems and knowledge discovery - Volume 5
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Skin region detection plays an important role in a variety of applications such as face detection, adult image filtering and gesture recognition. To improve the accuracy and speed of skin detection, in this paper, we describe a fast adaptive skin detection approach that works on DCT domain of JPEG image and classifies each image block according to its color and texture properties. Main contributions of our skin detector are: 1) It jointly takes into consideration the color and texture characteristics of human skin for classification and can adaptively control the detection threshold according to image content; 2) It requires no full decompression of JPEG compressed images and directly derives color and texture features of each image block from DCT coefficients. Comparisons with other existing skin detection techniques demonstrate that our algorithm can compute very fast and achieve good accuracy.