• DocumentCode
    582168
  • Title

    Cells tracking based on camshift and active contour model

  • Author

    Liu Ningxia ; Ding Xianting ; Sun Mingzhu ; Zhao Xin ; Lu Guizhang

  • Author_Institution
    Inst. of Robot. & Autom. Inf. Syst., Nankai Univ., Tianjin, China
  • fYear
    2012
  • fDate
    25-27 July 2012
  • Firstpage
    3656
  • Lastpage
    3661
  • Abstract
    A WPR-Camshift automated cells tracking algorithm is proposed here to solve shortcomings in the existing algorithms such as easy losses of tracking fast-moving cells, inadequate information of cell shape. By means of weighted probability distribution and prediction of moving cells´ locations, the algorithm can manage to track fast-moving cells, meanwhile, precise locations and shapes of cells can be achieved through re-locating cells and extracting the cell boundaries with active contour model. Besides, estimation of the critical state of cell division, segmentation and tracking of daughter cells just after division are included in the algorithm. The effectiveness of the method has been verified by testing in 3 groups of cell pictures which conclude 135 cells. Experimental results show that the algorithm is able to track deformable, migrating cells and handle cell division, which is of comparatively high stability and accuracy.
  • Keywords
    biology; cellular biophysics; state estimation; statistical distributions; WPR-camshift automated cell tracking algorithm; active contour model; cell boundary extraction; cell division; cell pictures; cell relocation; cell shape; continuously adaptive mean-shift; critical state estimation; daughter cell segmentation; daughter cell tracking; fast-moving cells; moving cell location prediction; weighted probability distribution; weighted-predicted-relocated camshift; Active contours; Electronic mail; Prediction algorithms; Shape; Sun; Tracking; Camshift; cells tracking; motion prediction; weighted probability;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Conference (CCC), 2012 31st Chinese
  • Conference_Location
    Hefei
  • ISSN
    1934-1768
  • Print_ISBN
    978-1-4673-2581-3
  • Type

    conf

  • Filename
    6390558