Vision-based Pedestrian Recognition using AdaBoost

  • MATSUSHIMA Kousuke
    Department of Control and Information Systems Engineering, Kurume National College of Technology
  • SENBA Kouhei
    Department of Control and Information Systems Engineering, Kurume National College of Technology
  • UCHIMURA Keiichi
    Graduate School of Science and Technology, Kumamoto University
  • ESAKI Shoji
    Department of Control and Information Systems Engineering, Kurume National College of Technology

Bibliographic Information

Other Title
  • AdaBoostを用いたカメラ画像からの歩行者認識(ITS画像処理,映像メディア及び一般)
  • AdaBoostを用いたカメラ画像からの歩行者認識
  • AdaBoost オ モチイタ カメラ ガゾウ カラ ノ ホコウシャ ニンシキ

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Abstract

Pedestrian-vehicle accidents account for about one third of the total automotive related fatality and injury. So the inclusion of pedestrian protection systems such as external airbags is being consider as a solution to preventing pedestrian fatality and injury. However, such systems require knowledge of pedestrian presence for correct activation. In this work, it proposes the pedestrian recognition technique for considering three-dimensional information based on the image obtained from right and left cameras set up in the vehicle. These techniques are applied to the road scene images, and the confirmation and the verification of effectiveness are performed.

Journal

  • ITE Technical Report

    ITE Technical Report 33.6 (0), 97-102, 2009

    The Institute of Image Information and Television Engineers

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