Accurate dense optical flow estimation using adaptive structure tensors and a parametric model

Proceedings - International Conference on Pattern Recognition

Volumn 16, Issue 1, 2002, Pages 291-294

  Liu, Haiying ^a   Chellappa, Rama ^a   Rosenfeld, Azriel ^a  

^a UNIVERSITY OF MARYLAND   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CONFIDENCE MEASUREMENT; DENSE OPTICAL FLOW; EIGENVALUE PROBLEM; ADAPTIVE STRUCTURE; GENERALIZED EIGENVALUE PROBLEMS; GENERALIZED EIGENVALUES; GENERALIZED EIGENVECTORS; OPTICAL FLOW ESTIMATION; OPTICAL FLOW ESTIMATION ALGORITHM; PARAMETRIC MODELING;

ALGORITHMS; EIGENVALUES AND EIGENFUNCTIONS; MATHEMATICAL MODELS; PARAMETER ESTIMATION; PROBLEM SOLVING; TENSORS; ADAPTIVE OPTICS; IMAGE PROCESSING; LINEAR SYSTEMS; OPTICAL FLOWS; PATTERN RECOGNITION; THREE DIMENSIONAL COMPUTER GRAPHICS;

OPTICAL FLOWS; PARAMETER ESTIMATION;

EID: 33646002443     PISSN: 10514651     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Article

References (10)

1. J. Barron, D. Fleet, and S. Beauchemin. Performance of optical flow techniques. IJCV, 12:43-77, 1994.
2. G. Farnebäck. Fast and accurate motion estimation using orientation tensors and parametric motion models. Proc. ICPR, 1:135-139, 2000.
3. G. Farnebäck. Very high accuracy velocity estimation using orientation tensors, parametric motion, and simultaneous segmentation of the motion field. Proc. ICCV, 1:77-80, 2001.
4. H. Gene and F. Charles. Matrix Computations, 3rd edition. Johns Hopkins University Press, 1996.
5. J. Gibson. Optical motions and transformations as stimuli for visual perception. Psychological Review, 64:288-295, 1957.
6. H. Haussecker and H. Spies. Handbook of Computer Vision and Applications Volume 2: Signal Processing and Pattern Recognition, Chapter 13: Motion. Academic Press, 1999.
7. B. Jähne, H. Haussecker, H. Spies, D. Schmundt, and U. Schurr. Study of dynamical processes with tensor-based spatiotemporal image processing techniques. Proc. ECCV, 2:322-336, 1998.
8. H. Liu, T. Hong, M. Herman, and R. Chellappa. A general motion model and spatio-temporal filters for computing optical flow. IJCV, 22:141-172, 1997.
9. H. Spies and H. Scharr. Accurate optical flow in noisy image sequences. Proc. ICCV, 1:587-592, 2001.
10. S. Ullman. The interpretation of structure from motion. Proc. of the Royal Society of London B, 203:405-426, 1979.