• Automatic tracking of flying vehicles using geodesic snakes and Kalman filtering 

      Betser, Amir; Vela, Patricio A.; Tannenbaum, Allen R. (Georgia Institute of TechnologyInstitute of Electrical and Electronics Engineers, 2004-12)
      This paper describes a tracking algorithm relying on active contours for target extraction and an extended Kalman filter for relative pose estimation. This work represents the first step towards treating the general problem ...
    • Filtered Multitensor Tractography 

      Malcolm, James G.; Shenton, Martha E.; Rathi, Yogesh (Georgia Institute of TechnologyInstitute of Electrical and Electronics Engineers, 2010-09)
      We describe a technique that uses tractography to drive the local fiber model estimation. Existing techniques use independent estimation at each voxel so there is no running knowledge of confidence in the estimated model ...
    • Filtered Tractography: State estimation in a constrained subspace 

      Malcolm, James G.; Shenton, Martha E.; Rathi, Yogesh (Georgia Institute of Technology, 2009-09-24)
      We describe amethod of deterministic tractography using model-based estimation that remains constrained to the subspace of valid tensor mixture models. Existing techniques estimate the local fiber orientation at each ...
    • Filtered Tractography: Validation on a Physical Phantom 

      Malcolm, James G.; Shenton, Martha E.; Rathi, Yogesh (Georgia Institute of Technology, 2009-09-24)
      This note summarizes a technique that uses tractography to drive the local fiber model estimation. Existing techniques use independent estimation at each voxel so there is no running knowledge of confidence in the estimated ...
    • Improved tracking by decoupling camera and target motion 

      Lankton, Shawn; Tannenbaum, Allen R. (Georgia Institute of TechnologySociety of Photo-Optical Instrumentation Engineers, 2008-01)
      Video tracking is widely used for surveillance, security, and defense purposes. In cases where the camera is not fixed due to pans and tilts, or due to being fixed on a moving platform, tracking can become more difficult. ...
    • Neural Tractography Using An Unscented Kalman Filter 

      Malcolm, James G.; Shenton, Martha E.; Rathi, Yogesh (Georgia Institute of Technology, 2009)
      We describe a technique to simultaneously estimate a local neural fiber model and trace out its path. Existing techniques estimate the local fiber orientation at each voxel independently so there is no running knowledge ...
    • Particle Filtering with Dynamic Shape Priors 

      Rathi, Yogesh; Dambreville, Samuel; Tannenbaum, Allen R. (Georgia Institute of TechnologySpringer Verlag, 2006-09)
      Tracking deforming objects involves estimating the global motion of the object and its local deformations as functions of time. Tracking algorithms using Kalman filters or particle filters have been proposed for tracking ...
    • Tracking Deformable Objects with Unscented Kalman Filtering and Geometric Active Contours 

      Dambreville, Samuel; Rathi, Yogesh; Tannenbaum, Allen R. (Georgia Institute of TechnologyInstitute of Electrical and Electronics Engineers, 2006-06)
      Geometric active contours represented as the zero level sets of the graph of a surface have been used very successfully to segment static images. However, tracking involves estimating the global motion of the object and ...
    • Tracking Deforming Objects using Particle Filtering for Geometric Active Contours 

      Rathi, Yogesh; Vaswani, Namrata; Tannenbaum, Allen R.; Yezzi, Anthony (Georgia Institute of TechnologyInstitute of Electrical and Electronics Engineers, 2007-08)
      Tracking deforming objects involves estimating the global motion of the object and its local deformations as a function of time. Tracking algorithms using Kalman filters or particle filters have been proposed for ...