Intuitive Visualization and Querying of Cell Motion

  • Authors:
  • Richard Souvenir;Jerrod P. Kraftchick;Min C. Shin

  • Affiliations:
  • Department of Computer Science, The University of North Carolina at Charlotte,;Department of Computer Science, The University of North Carolina at Charlotte,;Department of Computer Science, The University of North Carolina at Charlotte,

  • Venue:
  • ISVC '08 Proceedings of the 4th International Symposium on Advances in Visual Computing
  • Year:
  • 2008

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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.