Title: A non-rigid motion estimation algorithm for yawn detection in human drivers

Authors: Mihir Mohanty, Aurobinda Mishra, Aurobinda Routray

Addresses: Dept. of Electronics and Communication, ITER, Jagamara, Bhubaneswar, Orissa, India. ' VUIIS, Vanderbilt University, Nashville, TN-37232, USA. ' EE Dept., IIT, Kharagpur, West Bengal, India

Abstract: This work focuses on the estimation of possible fatigue or drowsiness by detecting the occurrence of yawns with human drivers. An image processing technique has been proposed to analyse the deformation occurring on driver|s face and accurately identify the yawn from other types of mouth opening such as talking and singing. The algorithm quantifies the degree of deformation on lips when a driver yawns. The image processing methodology is based on study of non-rigid motion patterns on 2D images. The analysis is done on a temporal sequence of images acquired by a camera. A shape-based correspondence of templates on contours of a particular region is established on the basis of curvature information. The shape similarity between the contours is analysed, after decomposing with wavelets at different levels. Finally, the yawn is correlated with fatigue-induced behaviour of drivers on a simulator.

Keywords: yawn detection; fatigue estimation; snake theory; shape correspondence; wavelets; non-rigid motion estimation; percentage eyelid closure; PERCLOS; driver drowsiness; image processing; driver yawning; vehicle drivers; driver fatigue; computational vision.

DOI: 10.1504/IJCVR.2009.026829

International Journal of Computational Vision and Robotics, 2009 Vol.1 No.1, pp.89 - 109

Published online: 26 Jun 2009 *

Full-text access for editors Access for subscribers Purchase this article Comment on this article