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» A Framework for Implicitly Tracking Data
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ISBI
2006
IEEE
14 years 8 months ago
Clinical DT-MRI estimation, smoothing and fiber tracking with Log-Euclidean metrics
Diffusion tensor MRI is an imaging modality that is gaining importance in clinical applications. However, in a clinical environment, data have to be acquired rapidly, often at the...
Pierre Fillard, Vincent Arsigny, Xavier Pennec, Ni...
VLSM
2005
Springer
14 years 1 months ago
Uncertainty-Driven Non-parametric Knowledge-Based Segmentation: The Corpus Callosum Case
Abstract. In this paper we propose a novel variational technique for the knowledge based segmentation of two dimensional objects. One of the elements of our approach is the use of ...
Maxime Taron, Nikos Paragios, Marie-Pierre Jolly
PAMI
2008
188views more  PAMI 2008»
13 years 7 months ago
Segmentation and Tracking of Multiple Humans in Crowded Environments
Segmentation and tracking of multiple humans in crowded situations is made difficult by interobject occlusion. We propose a model-based approach to interpret the image observations...
Tao Zhao, Ramakant Nevatia, Bo Wu
HICSS
2003
IEEE
126views Biometrics» more  HICSS 2003»
14 years 29 days ago
Measuring Cognitive Load with EventStream Software Framework
We have constructed “EventStream” data collection and analysis software framework to support a wide variety of sensors that measure user’s physical state. The framework’s ...
Christoph Aschwanden, Jan Stelovsky
IJCV
2000
161views more  IJCV 2000»
13 years 7 months ago
Probabilistic Detection and Tracking of Motion Boundaries
We propose a Bayesian framework for representing and recognizing local image motion in terms of two basic models: translational motion and motion boundaries. Motion boundaries are ...
Michael J. Black, David J. Fleet