Eye Activity Detection and Recognition Using Morphological Scale-Space Decomposition

Automatic recovery of eye gestures from image sequences is one of the important topics for face recognition and model-based coding of videophone sequences. Usually complicated models of the eye and its motion are used. In this contribution an eye gesture parameter estimation is described. A previously published automatic eye detection/tracking algorithm, based on template matching, is used for the eye pose detection. The eye gesture analysis is realised with a mathematical morphology scale-space approach, forming spatio-temporal curves out of scale measurement statistics. The resulting curves provide a direct measure of the eye gesture, which can then be used as an eye animation parameter. Experimental results demonstrate the efficiency and robustness.

• Type: Conference
• Year: 2000
• Where: ICPR
• Authors: Ilse Ravyse, Hichem Sahli, Jan Cornelis, Marcel J. T. Reinders
• Keywords: Eye Gesture, Eye Gesture Analysis, Eye Gesture Parameter, ICPR 2000