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Proceedings of the Third International Conference on Computer Vision Theory and Applications
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 techniquesdoi:10.5220/0001070401300138 fatcat:qqyiavz2qzfpxklouz5oby6mqu