Estimation and prediction of evolving color distributions for skin segmentation under varying illumination
- 7 November 2002
- proceedings article
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- Vol. 2, 152-159
- https://doi.org/10.1109/cvpr.2000.854764
Abstract
A novel approach for real-time skin segmentation in video sequences is described. The approach enables reliable skin segmentation despite wide variation in illumination during tracking. An explicit second order Markov model is used to predict evolution of the skin color (HSV) histogram over time. Histograms are dynamically updated based on feedback from the current segmentation and based on predictions of the Markov model. The evolution of the skin color distribution at each frame is parameterized by translation, scaling and rotation in color space. Consequent changes in geometric parameterization of the distribution are propagated by warping and re-sampling the histogram. The parameters of the discrete-time dynamic Markov model are estimated using Maximum Likelihood Estimation, and also evolve over time. Quantitative evaluation of the method was conducted on labeled ground-truth video sequences taken from popular movies.Keywords
This publication has 10 references indexed in Scilit:
- Statistical color models with application to skin detectionPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2003
- Elliptical head tracking using intensity gradients and color histogramsPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- Integrated person tracking using stereo, color, and pattern detectionPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- LAFTER: lips and face real time trackerPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- Name-It: naming and detecting faces in news videosIEEE MultiMedia, 1999
- Tracking and segmenting people in varying lighting conditions using colourPublished by Institute of Electrical and Electronics Engineers (IEEE) ,1998
- Active ContoursPublished by Springer Nature ,1998
- Pfinder: real-time tracking of the human bodyPublished by Institute of Electrical and Electronics Engineers (IEEE) ,1997
- Skin-Color Modeling and Adaptation,Published by Defense Technical Information Center (DTIC) ,1997
- Learning to track the visual motion of contoursArtificial Intelligence, 1995