Performance of Histogram-Based Skin Colour Segmentation for Arms Detection in Human Motion Analysis Application
Arms detection is one of the fundamental problems in
human motion analysis application. The arms are considered as the
most challenging body part to be detected since its pose and speed
varies in image sequences. Moreover, the arms are usually occluded
with other body parts such as the head and torso. In this paper,
histogram-based skin colour segmentation is proposed to detect the
arms in image sequences. Six different colour spaces namely RGB,
rgb, HSI, TSL, SCT and CIELAB are evaluated to determine the best
colour space for this segmentation procedure. The evaluation is
divided into three categories, which are single colour component,
colour without luminance and colour with luminance. The
performance is measured using True Positive (TP) and True Negative
(TN) on 250 images with manual ground truth. The best colour is
selected based on the highest TN value followed by the highest TP
 P. Kakumanu, S. Makrogiannis and N. Bourbakis, "A survey of skincolor
modelling and detection methods," Pattern Recognition, vol. 40,
no. 3, pp. 1106-1122, March, 2007.
 J. Mulligan, "Upper Body Pose Estimation from Stereo and Hand-Face
Tracking," in Proc. 2nd Canadian Conf. on Computer and Robot Vision,
2005, pp. 413-420.
 G. Hua, M. H. Yang and Y. Wu, "Learning to estimate human pose with
data driven belief propagation," in Proc. of the IEEE Computer Society
Conf. on Computer Vision and Pattern Recognition, 2005, Vol. 2, pp.
 A. S. Micilotta and R. Bowden, "View-based location and tracking of
body parts for visual interaction," in Proc. of British Machine Vision
Conference. 2004, vol. 2, pp. 849-858.
 S. Mallat, "Wavelets for a vision," Proc. of the IEEE, 1996, vol. 84 (4),
 T. Acharya, and A. Ray, Image Processing: Principles and Application.
John Willey & Sons, 2005.
 V. Vezhnevets, V. Sazonov and A. Andreeva, "A Survey on Pixel-
Based Skin Color Detection Techniques," in Proc. of GRAPHICON,
Moscow, Russia, 2003, pp. 85-92.
 S. E. Umbaugh, Computer imaging: digital image analysis and
processing. CRC Press, 2005.
 J. -C. Terrillon, M. N. Shirazi, H. Fukamachi and S. Akamatsu,
"Comparative performance of different skin chrominance models
andchrominance spaces for the automatic detection of human faces in
color images," in Proc. of 4th IEEE International Conference on
Automatic Face and Gesture Recognition, Grenoble, France, 2000, pp.
 S. Jayaram, S. Schmugge, M. C. Shin and L. V. Tsap, "Effect of
colorspace transformation, the illuminance component, and color
modeling on skin detection," in Proc. of the 2004 IEEE Computer
Society Conference on Computer Vision and Pattern Recognition, 2004,
vol. 2, pp. 813-81.