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» Tracking Discontinuous Motion Using Bayesian Inference
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ECCV
2000
Springer
16 years 13 days ago
Tracking Discontinuous Motion Using Bayesian Inference
Jamie Sherrah, Shaogang Gong
ICCV
1999
IEEE
16 years 15 days ago
Probabilistic Detection and Tracking of Motion Discontinuities
We propose a Bayesian framework for representing and recognizing local image motion in terms of two primitive models: translation and motion discontinuity. Motion discontinuities ...
Michael J. Black, David J. Fleet
IJCV
2000
161views more  IJCV 2000»
14 years 10 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
ICCV
1999
IEEE
16 years 15 days ago
A Dynamic Bayesian Network Approach to Figure Tracking using Learned Dynamic Models
The human figure exhibits complex and rich dynamic behavior that is both nonlinear and time-varying. However, most work on tracking and synthesizing figure motion has employed eit...
Vladimir Pavlovic, James M. Rehg, Tat-Jen Cham, Ke...
ICMLA
2007
15 years 8 hour ago
Uncertainty optimization for robust dynamic optical flow estimation
We develop an optical flow estimation framework that focuses on motion estimation over time formulated in a Dynamic Bayesian Network. It realizes a spatiotemporal integration of ...
Volker Willert, Marc Toussaint, Julian Eggert, Edg...