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.


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    Title :

    Fast pedestrian detection from a moving vehicle


    Contributors:
    You, Shuang (author)

    Publication date :

    2006


    Size :

    71 pages


    Remarks:

    Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2006.
    Includes bibliographical references (p. 69-71).


    Type of media :

    Theses


    Type of material :

    Electronic Resource


    Language :

    English




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