Video sequences analysis for eye tracking

An efficient eye tracking procedure is presented providing a non-invasive method for real time detection of a subject eyes in a sequence of frames captured by low cost equipment. The procedure can be easily adapted to any subject and is adequately insensitive to the illumination changes. The eye identification is performed by an optimal approximation procedure of the frames based on a discrete level set formulation of the variational approach to the optimal segmentation problem. The segmentation yields a simplified version of the original data retaining all the information relevant to the application. No eye movement model is required being the procedure fast enough to obtain the current frame segmentation as one step update from the previous frame segmentation.