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» Using Optical Flow for Tracking
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ICCV
2003
IEEE
14 years 10 months ago
Bayesian Clustering of Optical Flow Fields
We present a method for unsupervised learning of classes of motions in video. We project optical flow fields to a complete, orthogonal, a-priori set of basis functions in a probab...
Jesse Hoey, James J. Little
MVA
1998
13 years 10 months ago
Optical Flow-Based Person Tracking by Multiple Cameras
Hideki Tsutsui, Jun Miura, Yoshiaki Shirai
ICPR
2010
IEEE
13 years 9 months ago
An Iterative Method for Superresolution of Optical Flow Derived by Energy Minimisation
Superresolution is a technique to recover a highresolution image from a low resolution image . We develop a variational superresolution method for the subpixel accurate optical ï¬...
Yoshihiko Mochizuki, Yusuke Kameda, Atsushi Imiya,...
BMVC
2010
13 years 3 months ago
Toward robust estimation of specular flow
Specular flow is an important class of optical flow whose utility in visual tasks has gained much interest in contemporary vision research. Unfortunately, however, reliably estima...
Yair Adato, Todd Zickler, Ohad Ben-Shahar
ECCV
2000
Springer
14 years 10 months ago
Stochastic Tracking of 3D Human Figures Using 2D Image Motion
A probabilistic method for tracking 3D articulated human figures in monocular image sequences is presented. Within a Bayesian framework, we define a generative model of image appea...
Hedvig Sidenbladh, Michael J. Black, David J. Flee...