• DocumentCode
    678674
  • Title

    Stable Marriage Algorithm for Tracking Intracellular Objects

  • Author

    Hamano, Ayumi ; FUJISAKI, Keisuke ; Uchida, Seiichi ; Shiku, Osamu

  • Author_Institution
    Grad. Sch. of Syst. Life Sci., Kyushu Univ., Fukuoka, Japan
  • fYear
    2013
  • fDate
    4-6 Dec. 2013
  • Firstpage
    305
  • Lastpage
    307
  • Abstract
    Development of automatic multiple intracellular-objects tracking methods is one of the significant challenges in Bioimage-Informatics. The challenge becomes more difficult in case the tracking targets have the same shape and appearance. In order to obtain stable results under that condition, we propose a tracking method based on global optimization. Particularly, we first detect tracking targets by our proposed detection method. Then, we formulate the multiple object tracking problem as a combinatorial optimization problem over a pair of consecutive frames. Finally, we solve the problem by the stable marriage algorithm. In this paper, we describe our proposed detection and tracking methods.
  • Keywords
    bioinformatics; cellular biophysics; combinatorial mathematics; object detection; object tracking; optimisation; target tracking; automatic multiple intracellular-objects tracking methods; bioimage-Informatics; combinatorial optimization problem; global optimization; intracellular objects tracking; multiple object tracking problem; stable marriage algorithm; targets tracking detection; Accuracy; Educational institutions; Image sequences; Optimization; Shape; Target tracking; Bioimage informatics; Multiple object tracking; Object detection; Stable marriage problem;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computing and Networking (CANDAR), 2013 First International Symposium on
  • Conference_Location
    Matsuyama
  • Print_ISBN
    978-1-4799-2795-1
  • Type

    conf

  • DOI
    10.1109/CANDAR.2013.53
  • Filename
    6726915