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Monitoring
Head/Eye Motion for Driver Alertness with One Camera
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We are developing
a system for analyzing human driver alertness in mobile and stationary
vehicles. It relies on optical flow, combined with color predicates to
robustly track a person's head and facial features. We then determine
what kind of activity the driver is performing. We currently classify
rotation in all viewing directions, detect eye/mouth occlusion, detect
eye blinking, and recover the 3D gaze of the eyes. We show results and
discuss how this system can be used for monitoring driver alertness.
Associated
publications:
Monitoring
Head/Eye Motion for Driver Alertness with One Camera
Fifteenth IEEE International Conference on Pattern Recognition, September
3-8, 2000.Barcelona, Spain.
Power point presentation
is
here
Result Videos:
Head
Tracking 3
Head Tracking 5
Head Tracking 6
Head Tracking 7
Head Tracking 9
Head Tracking F
Head Tracking G
Here is the most recent
output for some of the data sets. he reason
for the difference from the above links is that the above results are
stable and the below results are the most recent ideas to make tracking
better.
Head
Tracking 3
Head
Tracking 5
Head
Tracking 6
Head
Tracking 7
Head
Tracking 9
Head Tracking E
Head Tracking F
Head
Tracking G
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