Image Analysis Using Mathematical Morphology
IEEE Transactions on Pattern Analysis and Machine Intelligence
Ten lectures on wavelets
Toward Machine Emotional Intelligence: Analysis of Affective Physiological State
IEEE Transactions on Pattern Analysis and Machine Intelligence - Graph Algorithms and Computer Vision
3-D Motion Estimation in Model-Based Facial Image Coding
IEEE Transactions on Pattern Analysis and Machine Intelligence
Facial expression recognition using a dynamic model and motion energy
ICCV '95 Proceedings of the Fifth International Conference on Computer Vision
Geometric active deformable models in shape modeling
IEEE Transactions on Image Processing
Estimation of driver's fatigue based on steering wheel angle
EPCE'11 Proceedings of the 9th international conference on Engineering psychology and cognitive ergonomics
Driver's fatigue and drowsiness detection to reduce traffic accidents on road
CAIP'11 Proceedings of the 14th international conference on Computer analysis of images and patterns - Volume Part II
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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.