Fast pedestrian detection from a moving vehicle
Name
84842694-MIT.pdf
Description
Full printable version
Size
7.13 MB
Format
Adobe PDF
Checksum (MD5)
0d6bdd0f89c743cc81bc6d00a8e84ca5
Author(s)
You, Shuang
Advisor(s)
Trevor Darrell.
Date Issued
2006
Publisher
Massachusetts Institute of Technology
Abstract
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.
Description
Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2006.
Includes bibliographical references (p. 69-71).
Subjects
Electrical Engineering and Computer Science.
MIT Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Terms of Use
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.
Persistent DSpace Link
