Fast pedestrian detection from a moving vehicle

• Main Author: You, Shuang
• Other Authors: Trevor Darrell.
• Format: Others
• Language: English
• Published: Massachusetts Institute of Technology 2007
• Subjects: Electrical Engineering and Computer Science.
• Online Access: http://hdl.handle.net/1721.1/37093

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.