In this contribution we describe a method to improve the reliability of monocular far-infrared pedestrian detection. In contrast to many other solutions using heuristic approaches, we use a statistical approach, i.e., a pixel classification for head detection in comparison with a classifier for body detection to investigate the performance of pedestrian detection. Using a head detector leads to a significant improvement in the detection precision and promises further advantages in combination with a body detector.


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    Title :

    Reinforcing the reliability of pedestrian detection in far-infrared sensing


    Contributors:
    Meis, U. (author) / Oberlander, M. (author) / Ritter, W. (author)


    Publication date :

    2004-01-01


    Size :

    905617 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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