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Monitoring head/eye motion for driver alertness with one camera

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3 Author(s)
P. Smith ; Dept. of Comput. Sci., Central Florida Univ., Orlando, FL, USA ; M. Shah ; N. da Vitoria Lobo

We describe a system for analyzing human driver alertness. It relies on optical flow and color predicates to robustly track a person's head and facial features. Our system classifies rotation in all viewing directions, detects eye/mouth occlusion, detects eye blinking, and recovers the 3D gaze of the eyes. We show results and discuss how this system can be used for monitoring driver alertness

Published in:

Pattern Recognition, 2000. Proceedings. 15th International Conference on  (Volume:4 )

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