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» Statistical Modeling of Optical Flow
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136
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ICPR
2000
IEEE
15 years 8 months ago
Estimating Fluid Optical Flow
In this paper, we address the problem of fluid motion estimation in image sequences. For such motions, standard optical flow methods, based on intensity conservation and spatial...
Thomas Corpetti, Étienne Mémin, Patr...
130
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DAGM
2009
Springer
15 years 8 months ago
Video Super Resolution Using Duality Based TV-L1 Optical Flow
Abstract. In this paper, we propose a variational framework for computing a superresolved image of a scene from an arbitrary input video. To this end, we employ a recently proposed...
Dennis Mitzel, Thomas Pock, Thomas Schoenemann, Da...
140
Voted
PAMI
2008
179views more  PAMI 2008»
15 years 3 months ago
Modeling, Clustering, and Segmenting Video with Mixtures of Dynamic Textures
A dynamic texture is a spatio-temporal generative model for video, which represents video sequences as observations from a linear dynamical system. This work introduces the mixtur...
Antoni B. Chan, Nuno Vasconcelos
167
Voted
CVPR
2009
IEEE
1962views Computer Vision» more  CVPR 2009»
16 years 10 months ago
Histograms of Oriented Optical Flow and Binet-Cauchy Kernels on Nonlinear Dynamical Systems for the Recognition of Human Actions
System theoretic approaches to action recognition model the dynamics of a scene with linear dynamical systems (LDSs) and perform classification using metrics on the space of LDSs, ...
Rizwan Chaudhry, Avinash Ravichandran, Gregory D. ...
127
Voted
ICPR
2000
IEEE
15 years 8 months ago
Optic-Flow Information Extraction with Directional Gaussian-Derivatives
This work is intended to give some ideas to extract motion information from an image sequence. A directional energy is defined in terms of the 1-D Hermite transform coefficients o...
J. Luis Silván-Cárdenas, Boris Escal...