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» Motion Feature Detection Using Steerable Flow Fields
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CVPR
1998
IEEE
14 years 6 months ago
Motion Feature Detection Using Steerable Flow Fields
The estimation and detection of occlusion boundaries and moving bars are important and challenging problems in image sequence analysis. Here, we model such motion features as line...
David J. Fleet, Michael J. Black, Allan D. Jepson
IJCV
2000
230views more  IJCV 2000»
13 years 4 months ago
Design and Use of Linear Models for Image Motion Analysis
Linear parameterized models of optical flow, particularly affine models, have become widespread in image motion analysis. The linear model coefficients are straightforward to estim...
David J. Fleet, Michael J. Black, Yaser Yacoob, Al...
ICPR
2008
IEEE
14 years 5 months ago
Learning motion patterns in crowded scenes using motion flow field
Learning typical motion patterns or activities from videos of crowded scenes is an important visual surveillance problem. To detect typical motion patterns in crowded scenarios, w...
Min Hu, Mubarak Shah, Saad Ali
ICCV
1998
IEEE
14 years 6 months ago
Independent 3D Motion Detection Using Residual Parallax Normal Flow Fields
Manolis I. A. Lourakis, Antonis A. Argyros, Stelio...
SIP
2001
13 years 5 months ago
Estimation of optical flow for large displacements
In this paper we present a new method to estimate optical flow for large displacements. It is based on prediction of global flow field parameters, performs better than multiresolu...
Torsten Radtke, Horst Salzwedel