Dynamic Colour Clustering for Skin Detection Under Different Lighting Conditions
| Autor: | Luigi Gallo, Giuseppe De Pietro, Nadia Brancati, Maria Frucci |
|---|---|
| Jazyk: | English, Middle (1100-1500) |
| Rok vydání: | 2017 |
| Předmět: |
Computer science
business.industry Process (computing) ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION 020206 networking & telecommunications Pattern recognition 02 engineering and technology Skin Detection Linear subspace Identification (information) Gesture recognition 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Artificial intelligence Face detection Cluster analysis business YCbCr colour space Dynamic Clustering |
| Zdroj: | Pattern Recognition and Information Processing, edited by Krasnoproshin, V. V., Ablameyko, S. V., pp. 27–35. Heidelberg: Springer, 2017 info:cnr-pdr/source/autori:Nadia Brancati, Giuseppe De Pietro, Maria Frucci, Luigi Gallo/titolo:Dynamic Colour Clustering for Skin Detection Under Different Lighting Conditions/titolo_volume:Pattern Recognition and Information Processing/curatori_volume:Krasnoproshin, V. V., Ablameyko, S. V./editore: /anno:2017 Communications in Computer and Information Science ISBN: 9783319542195 |
| Popis: | Skin detection is an important process in many applications like hand gesture recognition, face detection and ego-vision systems. This paper presents a new 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 on the identification of skin color clusters in the YCb and YCr subspaces. The experimental results, carried out on two publicly available databases, show that the proposed method is robust against illumination changes and achieves satisfactory results in terms of both qualitative and quantitative performance evaluation parameters. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|