Robust detection and tracking of salient face features in color video frames

A set of methods for automatic detection and tracking of human skin and of salient facial features, namely lips and eyes, based on the combination of color segmentation and shape extraction is presented. The algorithm does not require a training procedure or parameter set. The main addressed challenge is to provide efficient computation so to support real-time applications. This was achieved by performing all the computation in the RGB color space, by replacing full-detection on most of the frames with faster tracking and by reducing the features search area.