• DocumentCode
    2510360
  • Title

    Traj Align: A Method for Precise Matching of 3-D Trajectories

  • Author

    Aung, Zeyar ; Sim, Kelvin ; Ng, Wee Siong

  • Author_Institution
    Inst. for Infocomm Res., A*STAR (Agency for Sci., Technol. & Res.), Singapore, Singapore
  • fYear
    2010
  • fDate
    23-26 Aug. 2010
  • Firstpage
    3818
  • Lastpage
    3821
  • Abstract
    Matching two 3-D trajectories is an important task in a number of applications. The trajectory matching problem can be solved by aligning the two trajectories and taking the alignment score as their similarity measurement. In this paper, we propose a new method called "TrajAlign" (Trajectory Alignment). It aligns two trajectories by means of aligning their representative distance matrices. Experimental results show that our method is significantly more precise than the existing state-of-the-art methods. While the existing methods can provide correct answers in only up to 67% of the test cases, TrajAlign can offer correct results in 79% (i.e. 12% more) of the test cases, TrajAlign is also computationally inexpensive, and can be used practically for applications that demand efficiency.
  • Keywords
    matrix algebra; pattern matching; 3D trajectories; TrajAlign; distance matrices; precise matching; trajectory alignment; trajectory matching; Data mining; Dynamic programming; Handicapped aids; Heuristic algorithms; Proteins; Shape; Trajectory; 3-D trajectory matching; AUSLAN dataset; distance matrix; trajectory alignment;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition (ICPR), 2010 20th International Conference on
  • Conference_Location
    Istanbul
  • ISSN
    1051-4651
  • Print_ISBN
    978-1-4244-7542-1
  • Type

    conf

  • DOI
    10.1109/ICPR.2010.930
  • Filename
    5597555