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» An optical flow probabilistic observation model for tracking
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ICPR
2008
IEEE
14 years 8 months ago
Segmentation by combining parametric optical flow with a color model
We present a simple but efficient model for object segmentation in video scenes that integrates motion and color information in a joint probabilistic framework. Optical flow is mo...
Adrian Ulges, Thomas M. Breuel
ECCV
2008
Springer
14 years 9 months ago
Learning Optical Flow
Assumptions of brightness constancy and spatial smoothness underlie most optical flow estimation methods. In contrast to standard heuristic formulations, we learn a statistical mod...
Deqing Sun, Stefan Roth, J. P. Lewis, Michael J. B...
ISMAR
2007
IEEE
14 years 1 months ago
Real-Time Object Tracking for Augmented Reality Combining Graph Cuts and Optical Flow
We present an efficient and accurate object tracking algorithm based on the concept of graph cut segmentation. The ability to track visible objects in real-time provides an inval...
Jonathan Mooser, Suya You, Ulrich Neumann
SCVMA
2004
Springer
14 years 29 days ago
A Generative Model of Dense Optical Flow in Layers
We introduce a generative model of dense flow fields within a layered representation of 3-dimensional scenes. Using probabilistic inference and learning techniques (namely, varia...
Anitha Kannan, Brendan J. Frey, Nebojsa Jojic
FGR
2011
IEEE
263views Biometrics» more  FGR 2011»
12 years 11 months ago
Exploiting long-term observations for track creation and deletion in online multi-face tracking
— In many visual multi-object tracking applications, the question when to add or remove a target is not trivial due to, for example, erroneous outputs of object detectors or obse...
Stefan Duffner, Jean-Marc Odobez