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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)

Abstract

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.

Keywords

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.

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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

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