2026-09-19T15:59:38Zhttps://dspace.mit.edu/server/oai/requestoai:dspace.mit.edu:1721.1/458862022-01-13T07:54:29Zcom_1721.1_7582com_1721.1_7581col_1721.1_131023
Ruth Rosenholtz and Edward Adelson.
Raj, Alvin Andrew
Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science.
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
2009-06-30T16:32:34Z
2009-06-30T16:32:34Z
2008
2008
http://hdl.handle.net/1721.1/45886
320434597
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).
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.
by Alvin Raj.
S.M.
53 p.
eng
Massachusetts Institute of Technology
M.I.T. theses are protected by
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.
http://dspace.mit.edu/handle/1721.1/7582
Electrical Engineering and Computer Science.
Statistical Saliency Model incorporating motion saliency and an application to driving
Thesis
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