Publications

@inproceedings{brancatiDynamicColourClustering2017,

title = {Dynamic Colour Clustering for Skin Detection Under Different Lighting Conditions},

author = { Nadia Brancati and Giuseppe De Pietro and Maria Frucci and Luigi Gallo},

editor = { Viktor V. Krasnoproshin and Sergey V. Ablameyko},

doi = {10.1007/978-3-319-54220-1_3},

isbn = {978-3-319-54220-1},

year  = {2017},

date = {2017-01-01},

booktitle = {Pattern Recognition and Information Processing},

pages = {27--35},

publisher = {Springer International Publishing},

address = {Cham},

series = {Communications in Computer and Information Science},

abstract = {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.},

keywords = {Clustering, Skin detection, YCbCr color space},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{brancatiDynamicClusteringSkin2016,

title = {Dynamic Clustering for Skin Detection in YCbCr Colour Space},

author = { Nadia Brancati and Giuseppe De Pietro and Maria Frucci and Luigi Gallo},

isbn = {978-985-553-383-3},

year  = {2016},

date = {2016-10-01},

booktitle = {2016 Proceeding of the 13th International Conference on Pattern Recognition and Information Processing (PRIP)},

pages = {49--53},

publisher = {Minsk: Publishing Center of BSU},

address = {Minsk, Belarus},

abstract = {This paper presents a new approach for skin detection in colour images. The method is based on the building of a dynamic clustering in the YCbCr colour space, taking into account the illumination conditions of the examined image. The results of a comparative evaluation on a publicly available database, show that the proposed method outperforms well known rule based static methods, both in qualitative and quantitative terms.},

keywords = {Clustering, Skin detection, YCbCr color space},

pubstate = {published},

tppubtype = {inproceedings}

}