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.
Video sequences analysis for eye tracking / DE SANTIS, Alberto; Iacoviello, Daniela. - STAMPA. - (2008), pp. 29-34. (Intervento presentato al convegno 1st ECCOMAS Thematic Conference on Computational Vision and Medical Image Processing tenutosi a Oporto, PORTUGAL nel OCT 17-19, 2007).
Video sequences analysis for eye tracking
DE SANTIS, Alberto;IACOVIELLO, Daniela
2008
Abstract
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.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
