Statistical Saliency Model incorporating motion saliency and an application to driving
Name
320434597-MIT.pdf
Description
Full printable version
Size
21.5 MB
Format
Adobe PDF
Checksum (MD5)
6c3fcfc0c5fd789f61aa91e4a1803d5d
Author(s)
Raj, Alvin Andrew
Advisor(s)
Ruth Rosenholtz and Edward Adelson.
Date Issued
2008
Publisher
Massachusetts Institute of Technology
Abstract
This thesis extends the Statistical Saliency Model to include motion as a feature, enabling it to compute the saliency of video sequences more effectively. The motion feature is represented as optical flow and incorporated into the model. The model is validated by testing its capability in predicting reaction time performance in a driving simulator. We find that the model does help predict reaction time and some eye-movements in some simulated driving tasks.
Description
Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2008.
At head of title on title-page: Master of Science thesis.
Includes bibliographical references (p. 43-44).
Subjects
Electrical Engineering and Computer Science.
MIT Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
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copyright. They may be viewed from this source for any purpose, but
reproduction or distribution in any format is prohibited without written
permission. See provided URL for inquiries about permission.
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