• DocumentCode
    3181759
  • Title

    Three dimensional trajectories mining

  • Author

    Tsumoto, Shusaku ; Hirano, Shoji

  • Author_Institution
    Dept. of Med. Inf., Shimane Univ., Izumo, Japan
  • fYear
    2010
  • fDate
    10-13 Oct. 2010
  • Firstpage
    500
  • Lastpage
    505
  • Abstract
    In this paper, we propose a multiscale comparison method for three-dimensional trajectories based on the maxima on the curvature scale space. We define a segment as a partial trajectory between two adjacent maxima where curvature becomes locally maximal. Then we trace the place of maxima across the scales in order to obtain the hierarchy of segments. By applying segment-based matching technique, we obtain the best correspondences between partial trajectories. We demonstrate in a preliminary experiment that our method could successfully capture structural similarity in three-dimensional trajectories.
  • Keywords
    computational geometry; data mining; medical information systems; pattern clustering; pattern matching; curvature scale; data clustering; segment based matching; temporal data mining; three dimensional trajectory mining; Matched filters; Trajectory; Clustering; Multiscale comparison; Temporal data mining; Trajectories;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems Man and Cybernetics (SMC), 2010 IEEE International Conference on
  • Conference_Location
    Istanbul
  • ISSN
    1062-922X
  • Print_ISBN
    978-1-4244-6586-6
  • Type

    conf

  • DOI
    10.1109/ICSMC.2010.5641969
  • Filename
    5641969