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Adaptive rule-based skin detector

Software
Publication Date:
2016
abstract:
A novel skin detection method based on a dynamic generation of the skin cluster range in the YCbCr color space by taking into account the lighting conditions. The method is based both on the identification of skin color clusters in the YCb and YCr subspaces and on the definition of correlation rules between the skin color clusters; it is efficient in terms of computational effort and is robust against severe variation in illumination conditions.
Iris type:
05.11 Software
Keywords:
skin detection; lighting conditions; YCbCr; correlation rules; skin color cluster; rule-based
List of contributors:
DE PIETRO, Giuseppe; Frucci, Maria; Gallo, Luigi; Brancati, Nadia
Authors of the University:
BRANCATI NADIA
FRUCCI MARIA
Handle:
https://iris.cnr.it/handle/20.500.14243/336552
  • Overview

Overview

URL

https://github.com/nadiabrancati/skin_detection/
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