



@book {2367,
	title = {Face detection based on skin color in video images with dynamic background},
	series = {Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)Lect. Notes Comput. Sci.},
	volume = {4633 LNCS},
	year = {2007},
	note = {Conference code: 70855Cited By (since 1996): 2Export Date: 21 November 2012Source: ScopusLanguage of Original Document: EnglishCorrespondence Address: Ferreira, A.M.; Instituto de Engenharia Biom{\'e}dica, Laborat{\'o}rio de Sinal e Imagem, Departamento de Engenharia Electrot{\'e}cnica e de Computadores, Rua Dr. Roberto Frias, s/n, 4200-465 Porto, Portugal; email: mota.ferreira@fe.up.ptReferences: Chelllappa, R., Wilson, C., Sirohey, S., Human and machine recognition of faces: A survey (1995) IEEE, 83, pp. 705-740;Viola, P., Jones, M., Robust Real-Time Face Detection (2004) International Journal of Computer Vision, 57 (2), pp. 137-154; 
Schneiderman, H., Kanade, T., A Statistical Method for 3D Object Detection Applied to Faces and Cars (2000) IEEE Conference on Computer Vision and Pattern Recognition, June, , IEEE Computer Society Press, Los Alamitos; 
Rowley, H., Baluja, S., Kanade, T., (1995) Human face detection in visual scenes, , November; 
Vazhnevets, V., Sazonov, V., Andreeva, A., A Survey on Pixel-Based Skin Color Detection Techniques (2003) Proceedings Graphicon-2003, pp. 85-92. , Moscow, Russia, September; 
Crowley, J.L., Berard, F., Multimodel Tracking of Faces for Video Communications (1997) IEEE Proc. Conference on Computer Vision and Pattern Recognition, pp. 640-645. , IEEE Computer Society Press, Los Alamitos; 
Garcia, C., Zikos, G., Tziritas, G., Face detection in Color Images Using Wavelet Packet Analisis (1999) ICMCS, 1, pp. 703-708
},
	month = {2007///},
	pages = {254 - 262},
	address = {Montreal},
	abstract = {Face detection is a problem in image processing that has been extensively studied in the last decades. This fact is justified due to the innumerous applications this subject has in computer vision. In this paper we present a technique to detect a face in an image where several persons may be. The images were recorded from news broadcasts from different networks. First, a model based on normalized RGB color space was built to define a skin color model: skin regions were selected from several face images and extracted statistical characteristics. Second, each pixel of the image was classified in two categories: skin and not skin. Third, the face region was identified. A MATLAB function was created to detect faces of any size, achieving high detection rates. {\textcopyright} Springer-Verlag Berlin Heidelberg 2007.},
	keywords = {Color, Color segmentation, Computer vision, Face detection, Face recognition, MATLAB, Skin, Skin color model, Skin detection},
	isbn = {03029743 (ISSN); 9783540742586 (ISBN)},
	url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-37849024126\&partnerID=40\&md5=30f43d1e5962beb32d898347f231ef5e},
	author = {Ferreira, A.M. and Correia, M.V.}
}
