Intuitive Visualization and Querying of Cell Motion

  • Richard Souvenir
  • Jerrod P. Kraftchick
  • Min C. Shin
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5358)


Current approaches to cell motion analysis rely on cell tracking. In certain cases, the trajectories of each cell is not as informative as a representation of the overall motion in the scene. In this paper, we extend a cell motion descriptor and provide methods for the intuitive visualization and querying of cell motion. Our approach allows for searches of scale- and rotation-invariant motion signatures, and we develop a desktop application that researchers can use to query biomedical video quickly and efficiently. We demonstrate this application on synthetic video sets and in vivo microscopy video of cells in a mouse liver.


Cell Motion Motion Pattern Interest Point Gesture Recognition Cell Track 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. 1.
    Yilmaz, A., Javed, O., Shah, M.: Object tracking: A survey. ACM Comput. Surv. 38(4), 13 (2006)CrossRefGoogle Scholar
  2. 2.
    Mukherjee, D., Ray, N., Acton, S.: Level set analysis for leukocyte detection and tracking. IEEE Trans. on Image Processing 13(4), 562–572 (2004)CrossRefGoogle Scholar
  3. 3.
    Debeir, O., Van Ham, P., Kiss, R., Decaestecker, C.: Tracking of migrating cells under phase-contrast video microscopy with combined mean-shift processes. IEEE Trans. on Medical Imaging 24(6), 697–711 (2005)CrossRefGoogle Scholar
  4. 4.
    Li, K., Chen, M., Kanade, T.: Cell population tracking and lineage construction with spatiotemporal context. In: Ayache, N., Ourselin, S., Maeder, A. (eds.) MICCAI 2007, Part II. LNCS, vol. 4792, pp. 295–302. Springer, Heidelberg (2007)CrossRefGoogle Scholar
  5. 5.
    Souvenir, R., Kraftchick, J., Lee, S., Clemens, M., Shin, M.: Cell motion analysis without explicit tracking. In: Proc. IEEE Conference on Computer Vision and Pattern Recognition, pp. 1–7 (June 2008)Google Scholar
  6. 6.
    Sbalzarini, I.F., Koumoutsakos, P.: Feature point tracking and trajectory analysis for video imaging in cell biology. Journal of Structural Biology 151(2), 182–195 (2005)CrossRefGoogle Scholar
  7. 7.
    Lucas, B.D., Kanade, T.: An iterative image registration technique with an application to stereo vision. In: Proceedings of the 7th International Joint Conference on Artificial Intelligence (IJCAI 1981), pp. 674–679 (1981)Google Scholar
  8. 8.
    Hinz, S., Baumgartner, A.: Road Extraction in Urban Areas Supported by Context Objects. In: Int’l Archives of Photogrammetry and Remote Sensing, vol. 33, pp. 405–412 (2000)Google Scholar
  9. 9.
    Pless, R., Jurgens, D.: Road extraction from motion cues in aerial video. In: Proc. of the ACM Conf. on Geographic Information Systems, pp. 31–38 (2004)Google Scholar
  10. 10.
    Roth, M., Freeman, W.T.: Orientation histograms for hand gesture recognition. In: Intl. Workshop on Automatic Face and Gesture Recognition (1995)Google Scholar
  11. 11.
    Ballard, D.H.: Generalizing the Hough transform to detect arbitrary shapes. Pattern Recognition 13(2), 111–122 (1981)zbMATHCrossRefGoogle Scholar
  12. 12.
    Freund, Y., Schapire, R.E.: A decision-theoretic generalization of on-line learning and an application to boosting. In: Vitányi, P.M.B. (ed.) EuroCOLT 1995. LNCS, vol. 904, pp. 23–37. Springer, Heidelberg (1995)Google Scholar
  13. 13.
    Mallick, S., Zhu, Y., Kriegman, D.: Detecting particles in cryo-EM micrographs using learned features. Journal of Structural Biology 145(1-2), 52–62 (2004)CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2008

Authors and Affiliations

  • Richard Souvenir
    • 1
  • Jerrod P. Kraftchick
    • 1
  • Min C. Shin
    • 1
  1. 1.Department of Computer ScienceThe University of North Carolina at CharlotteUSA

Personalised recommendations