• DocumentCode
    37905
  • Title

    Internal-to-internal transition method for consecutive hierarchical template matching

  • Author

    Ho Gi Jung

  • Author_Institution
    Dept. of Automotive Eng., Hanyang Univ., Seoul, South Korea
  • Volume
    8
  • Issue
    3
  • fYear
    2014
  • fDate
    Jun-14
  • Firstpage
    216
  • Lastpage
    223
  • Abstract
    This study proposes a method reducing the tree traversal cost by first investigating the most probable node instead of the root node when a hierarchical template matching is consecutively applied to the object. In particular, this study gives a novel viewpoint that a consecutive hierarchical template matching could be regarded as a transition of a hierarchical finite state machine, and then it proposes a novel method considering the transitions between the internal nodes of the hierarchical template tree. The proposed method is verified by applying it to pedestrian silhouette detection.
  • Keywords
    finite state machines; image matching; object detection; pedestrians; trees (mathematics); consecutive hierarchical template matching; hierarchical finite state machine; hierarchical template tree internal nodes; internal-to-internal transition method; pedestrian silhouette detection; probable node; tree traversal cost reduction;
  • fLanguage
    English
  • Journal_Title
    Computer Vision, IET
  • Publisher
    iet
  • ISSN
    1751-9632
  • Type

    jour

  • DOI
    10.1049/iet-cvi.2013.0125
  • Filename
    6826032