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driver ddriver drowsiness detection using image processing
Typology: Assignments
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Idit Gershoni
Introduction to Computational and Biological Vision
Fall 2007
in which the crashes were attributed by the police to the
driver being asleep (but in which alcohol was not judged to
be involved).
of crashes.
Motivation (2)
using image processing methods.
Project Goal
The (ideal) idea:
A video camera placed inside the car is
continuously filming the driver’s face
during the ride.
A detection system analyses the movie
frame by frame and determines whether
the driver’s eyes are open or shut.
If the eyes are shut for more than 1/4 a
second (longer than a normal blink
period) then the systems beeps to alert
the driver.
In Practice
detection system, and doesn’t perform real-
time detection & analysis.
with a given set of parameters.
Implementation – Step by Step (1)
30 frames
per second
The Sobel edge detector
did the work
Implementation – Step by Step (2)
frame in order to detect the irises:
Implementation – Step by Step (4)
after not finding the irises in 8 consecutive
frames.
Implementation – Step by Step (5)
Future Work
Improving the algorithm:
Study the location of the eyes in the first
image, and create a search area around
the eyes for the following frames.
Performing Hough transform with a
range of possible radiuses.
Make the system work in real-time
environment.
Questions?