Authors:
Jose M. Chaves-González
;
Miguel A. Vega-Rodríguez
;
Juan A. Gómez-Pulido
and
Juan M. Sánchez-Pérez
Affiliation:
Univ. Extremadura, Spain
Keyword(s):
Face detection, colour spaces, YUV, YIQ, RGB, YCbCr, HSV, skin colour detection.
Related
Ontology
Subjects/Areas/Topics:
Biometrics and Pattern Recognition
;
Image and Video Processing, Compression and Segmentation
;
Multimedia
;
Multimedia Signal Processing
;
Telecommunications
Abstract:
In this paper we show the results of a work where a comparison among different colour spaces is done in order to know which one is better for human skin colour detection in face detection systems. Our motivation to do this study is that there is not a common opinion about which colour space is the best choice to find skin colour in an image. This is important because most of face detectors use skin colour to detect the face in a picture or a video. We have done a study using 10 different colour spaces (RGB, CMY, YUV, YIQ, YCbCr, YPbPr, YCgCr, YDbDr, HSV –or HSI– and CIE-XYZ). To make the comparisons we have used truth images of 15 different people, comparing at pixel level the number of correct detections (false negatives and false positives) for each colour space.