A Non-Parametric Motion Model for Foreground Detection in Camera Jitter Scenes

IEEE Signal Processing Letters ◽

10.1109/lsp.2014.2312371 ◽

2014 ◽

Vol 21 (6) ◽

pp. 677-681 ◽

Author(s):

Juan Liao ◽

Rong Dong ◽

Bo Li ◽

Qimei Chen

Keyword(s):

Foreground Detection ◽

Motion Model ◽

Parametric Motion ◽

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Spatio-temporal Wiener filtering of image sequences using a parametric motion model

Proceedings 2000 International Conference on Image Processing (Cat. No.00CH37101) ◽

10.1109/icip.2000.900931 ◽

2002 ◽

Author(s):

F. Dekeyser ◽

P. Bouthemy ◽

P. Perez

Keyword(s):

Image Sequences ◽

Wiener Filtering ◽

Motion Model ◽

Parametric Motion ◽

Spatio Temporal

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A PDE Approach to Coupled Super-Resolution with Non-parametric Motion

Lecture Notes in Computer Science - Energy Minimization Methods in Computer Vision and Pattern Recognition ◽

10.1007/978-3-642-03641-5_9 ◽

2009 ◽

pp. 112-125 ◽

Author(s):

Mehran Ebrahimi ◽

Anne L. Martel

Keyword(s):

Super Resolution ◽

Parametric Motion ◽

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Super-resolution from noisy image sequences exploiting a 2D parametric motion model

Proceedings 15th International Conference on Pattern Recognition. ICPR-2000 ◽

10.1109/icpr.2000.903557 ◽

2002 ◽

Author(s):

F. Dekeyser ◽

P. Bouthemy ◽

P. Perez ◽

E. Payot

Keyword(s):

Super Resolution ◽

Image Sequences ◽

Motion Model ◽

Noisy Image ◽

Parametric Motion

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Multiple parametric motion model estimation and segmentation

Proceedings 2001 International Conference on Image Processing (Cat. No.01CH37205) ◽

10.1109/icip.2001.958648 ◽

2002 ◽

Author(s):

R. Montoliu ◽

F. Pla

Keyword(s):

Model Estimation ◽

Motion Model ◽

Parametric Motion

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Non parametric motion recognition using temporal multiscale Gibbs models

Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. CVPR 2001 ◽

10.1109/cvpr.2001.990516 ◽

2005 ◽

Author(s):

R. Fablet ◽

P. Bouthemy

Keyword(s):

Motion Recognition ◽

Parametric Motion ◽

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Lossy parametric motion model compression for global motion temporal filtering

2012 Picture Coding Symposium ◽

10.1109/pcs.2012.6213354 ◽

2012 ◽

Author(s):

M. Tok ◽

A. Krutz ◽

A. Glantz ◽

T. Sikora

Keyword(s):

Motion Model ◽

Global Motion ◽

Temporal Filtering ◽

Model Compression ◽

Parametric Motion

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Diverse videos synthesis using manifold-based parametric motion model for facial understanding

IET Image Processing ◽

10.1049/iet-ipr.2014.0905 ◽

2016 ◽

Vol 10 (4) ◽

pp. 253-260 ◽

Author(s):

Amin Mohammadian ◽

Farzad Towhidkhah ◽

Hassan Aghaeinia

Keyword(s):

Motion Model ◽

Parametric Motion

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Pedestrian Motion Model Using Non-Parametric Trajectory Clustering and Discrete Transition Points

IEEE Robotics and Automation Letters ◽

10.1109/lra.2019.2898464 ◽

2019 ◽

Vol 4 (3) ◽

pp. 2614-2621 ◽

Author(s):

Yutao Han ◽

Rina Tse ◽

Mark Campbell

Keyword(s):

Motion Model ◽

Trajectory Clustering ◽

Discrete Transition ◽

Transition Points ◽

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An efficient true-motion estimator using candidate vectors from a parametric motion model

IEEE Transactions on Circuits and Systems for Video Technology ◽

10.1109/76.660831 ◽

1998 ◽

Vol 8 (1) ◽

pp. 85-91 ◽

Author(s):

G. De Haan ◽

P.W.A.C. Biezen

Keyword(s):

Motion Model ◽

True Motion ◽

Parametric Motion

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Non-parametric motion-priors for flow understanding

2012 IEEE Workshop on the Applications of Computer Vision (WACV) ◽

10.1109/wacv.2012.6163049 ◽

2012 ◽

Author(s):

Vasilis Lasdas ◽

Radu Timofte ◽

Luc Van Gool

Keyword(s):

Parametric Motion ◽

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