2026-09-18T19:49:09Zhttps://dspace.mit.edu/server/oai/requestoai:dspace.mit.edu:1721.1/370932022-01-13T07:54:29Zcom_1721.1_7582com_1721.1_7581col_1721.1_131023
Trevor Darrell.
You, Shuang
Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science.
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
2007-04-03T17:10:50Z
2007-04-03T17:10:50Z
2006
2006
http://hdl.handle.net/1721.1/37093
84842694
Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2006.
Includes bibliographical references (p. 69-71).
This paper presents a method of real-time multi-modal pedestrian detection from a moving vehicle. The system uses both intensity and thermal images captured from cameras mounted at the front of the vehicle to train cascades of classifiers, which results in a detector that is able to detect a large percentage of pedestrians with very few false positives. The system has also been tested with inputs of high-resolution intensity images along with low-resolution thermal images, showing that the addition of even a low-resolution thermal camera may return better pedestrian detection results than using only intensity information alone.
by Shuang You.
M.Eng.
71 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.
Fast pedestrian detection from a moving vehicle
Thesis
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