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		<citationkey>CardosoGome:2007:PrApSk</citationkey>
		<title>A Probabilistic Approach to Skin Detection</title>
		<format>On-line</format>
		<year>2007</year>
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		<author>Cardoso, Fernando H. B.,</author>
		<author>Gomes, Herman M.,</author>
		<affiliation>Universidade Federal de Campina Grande</affiliation>
		<affiliation>Universidade Federal de Campina Grande</affiliation>
		<editor>Gonçalves, Luiz,</editor>
		<editor>Wu, Shin Ting,</editor>
		<conferencename>Brazilian Symposium on Computer Graphics and Image Processing, 20 (SIBGRAPI)</conferencename>
		<conferencelocation>Belo Horizonte, MG, Brazil</conferencelocation>
		<date>7-10 Oct. 2007</date>
		<publisher>Sociedade Brasileira de Computação</publisher>
		<publisheraddress>Porto Alegre</publisheraddress>
		<booktitle>Proceedings</booktitle>
		<tertiarytype>Technical Poster</tertiarytype>
		<transferableflag>1</transferableflag>
		<keywords>Probabilistic Skin Detection Learning Segmentation.</keywords>
		<abstract>In this paper, we present an approach to skin detection in images, which labels each pixel as skin or nonskin based on a simple probabilistic model acquired from a database of manually labeled images. We tested several variations of this approach (using different color spaces and pre-processing techniques) and the achieved accuracy seemed quite encouraging with, a detection rate of 77,79%.</abstract>
		<language>en</language>
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