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A CORRECTIVE FRAMEWORK FOR FACIAL FEATURE DETECTION AND TRACKING
english
2008
Proceedings of the Third International Conference on Computer Vision Theory and Applications
unpublished
english
Epidemiological studies indicate that automobile drivers from varying demographics are confronted by difficult driving contexts such as negotiating intersections, yielding, merging and overtaking. We aim to detect and track the face and eyes of the driver during several driving scenarios, allowing for further processing of a driver's visual search pattern behavior. Traditionally, detection and tracking of objects in visual media has been performed using specific techniques. These techniques
doi:10.5220/0001070401300138
fatcat:qqyiavz2qzfpxklouz5oby6mqu