Symmetrical judgment and improvement of CoHOG feature descriptor for pedestrian detection

Hirokatsu Kataoka, Yoshimitsu Aoki

    研究成果: Conference contribution

    2 被引用数 (Scopus)

    抄録

    Pedestrian detection method is the highest priority for "active safety" which prevents traffic accidents before happens. In previous studies, edge orientation based feature descriptors are proposed. Recently, high standard detection algorithm, Co-occurrence Histograms of Oriented Gradients (CoHOG) is proposed. However, this method has miss detection in complicated situation and processing cost is high. We propose symmetrical judgment algorithm and an extended version of CoHOG for high speed and high accuracy pedestrian detection. The effectiveness of the proposed method was proved on pedestrian detection performance test.

    本文言語English
    ホスト出版物のタイトルProceedings of the 12th IAPR Conference on Machine Vision Applications, MVA 2011
    ページ536-539
    ページ数4
    出版ステータスPublished - 2011 12 1
    イベント12th IAPR Conference on Machine Vision Applications, MVA 2011 - Nara, Japan
    継続期間: 2011 6 132011 6 15

    出版物シリーズ

    名前Proceedings of the 12th IAPR Conference on Machine Vision Applications, MVA 2011

    Other

    Other12th IAPR Conference on Machine Vision Applications, MVA 2011
    CountryJapan
    CityNara
    Period11/6/1311/6/15

    ASJC Scopus subject areas

    • Computer Vision and Pattern Recognition

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