Skin detection and tracking by monocular vision
Thierry Château, Antoine Vacavant, Jean‐Marc Lavest · 2006
This paper deals with area detection and tracking using color-based image processing. The application addressed concerns human head and hands tracking in real time. The authors proposed an original method in order to locate colored areas, for a foreground image. Foreground image is provided by a probabilistic way using Gaussian mixture models (GMM) of probability density functions. The temporal tracking is achieved by a particle filter, which is well adapted to partial occlusions and non Gaussian models.