Current Proceedings on Technology

Yazarlar: Khammari Mohammed, Bencheriet Chemesse Ennehar, Tlili Yamina

Konular:-

Anahtar Kelimeler:Skin detection,Segmentation,Skin color,MİXTURE Gaussian model,Color space.

Özet: Many human-machine interaction systems such as face detection and hands tracking used skin detection as the main step in the system. Seen the importance of skin detection problem in the quasi-totality of faces detection and faces recognition systems several studies were proposed these last years but a reliable solution (giving a high rate of detection and a low rate of false alarms) and rapids (with a short processing time with any size of images or scene to analyze) is always looked for. In this paper we propose the use of a Gaussian mixture model, built from three skin colors between the most popular in the world (black, white, brown), that characteristics (of Gaussian mixture model) were fixed after a careful ethnic study made by our care. Knowing the importance and influence of the colors space representation on the quality of the obtained results we have and in comparative title created the Gaussian mixture model in two color spaces chosen between the most used: YCbCr and HSV color space. Tests, made on the international faces databases BAO and CALTECH, showed that the best rates of skin detection were obtained by the Gaussian mixture under the YCbCr color space. 

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