Hand detections based on invariant skin-color models constructed using linear and nonlinear color spaces

Cheung Wen Chang, Yung-Nien Sun

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Hand detections based on two proposed pixel-based skin-color models are proposed. Different from the conventional methods, the proposed models are built on the invariant surface obtained by supervised learning on nonlinear color space which effectively preserves vital properties of skin colors in low illumination. By using a high-dimensional feature space, which incorporating probability of fitting the invariant surface with a nonlinear mapping value of chrominance in linear space, first skin-color model is proposed as a thresholding method according to feature values of pixels. Subsequently, a second skincolor model is constructed based on a parametric region which maps the learning data on an invariant surface. This mode achieves more favorable skin-color segmentation results than the conventional methods in experiments.

Original languageEnglish
Title of host publicationProceedings - 2008 4th International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIH-MSP 2008
Pages577-580
Number of pages4
DOIs
Publication statusPublished - 2008 Oct 22
Event2008 4th International Conference on Intelligent Information Hiding and Multiedia Signal Processing, IIH-MSP 2008 - Harbin, China
Duration: 2008 Aug 152008 Aug 17

Publication series

NameProceedings - 2008 4th International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIH-MSP 2008

Other

Other2008 4th International Conference on Intelligent Information Hiding and Multiedia Signal Processing, IIH-MSP 2008
CountryChina
CityHarbin
Period08-08-1508-08-17

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Computer Graphics and Computer-Aided Design
  • Signal Processing

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