Extended CoHOG and particle filter by improved motion model for pedestrian active safety

Hirokatsu Kataoka, Kimimasa Tamura, Yoshimitsu Aoki, Yasuhiro Matsui

    研究成果: Conference contribution

    1 被引用数 (Scopus)

    抄録

    The percentage of pedestrian deaths in traffic accidents is on the rise. In recent years, there have been calls for measures to be introduced to protect such vulnerable road users as pedestrians and cyclists. In this study, a method to detect pedestrians using an in-vehicle camera is presented. We improved the technology in detecting pedestrians with highly accurate images using a monocular camera. We were able to predict pedestrians' activities by monitoring them, and we developed an algorithm to recognize pedestrians and their movements more accurately. The effectiveness of the algorithm was tested using images taken on real roads. For the feature descriptor, we found that an extended co-occurrence histogram of oriented gradients, accumulating the integration of gradient intensities. In tracking step, we applied effective motion model using optical flow for Particle Filter tracking. These techniques are valified by using images captured on the real road.

    本文言語English
    ホスト出版物のタイトルProceedings, IECON 2012 - 38th Annual Conference on IEEE Industrial Electronics Society
    ページ1511-1516
    ページ数6
    DOI
    出版ステータスPublished - 2012 12月 1
    イベント38th Annual Conference on IEEE Industrial Electronics Society, IECON 2012 - Montreal, QC, Canada
    継続期間: 2012 10月 252012 10月 28

    出版物シリーズ

    名前IECON Proceedings (Industrial Electronics Conference)

    Other

    Other38th Annual Conference on IEEE Industrial Electronics Society, IECON 2012
    国/地域Canada
    CityMontreal, QC
    Period12/10/2512/10/28

    ASJC Scopus subject areas

    • 制御およびシステム工学
    • 電子工学および電気工学

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