18.7.3 Spatio-Temporal Filtering

Chapter Contents (Back)
Sequences. Spatio-Temporal Filters.

Fleet, D.J., and Jepson, A.D.,
Hierarchial Construction of Orientation and Velocity Selective Filters,
PAMI(11), No. 3, March 1989, pp. 315-325.
IEEE DOI BibRef 8903
Earlier: RBCV-TR-85-8, Toronto, November 1985. A continuation of the filter based velocity extraction methods, with a different method for computation. BibRef

Fleet, D.J.,
Measurement of Image Velocity,
Boston: KluwerAcademic Pub. March 1992. ISBN 0-7923-9198-5.
WWW Link. BibRef 9203

Fleet, D.J., and Jepson, A.D.,
Computation of Component Image Velocity from Local Phase Information,
IJCV(5), No. 1, August 1990, pp. 77-104.
Springer DOI
HTML Version. and
WWW Link. BibRef 9008
Earlier:
Computation of Normal Velocity from Local Phase Information,
CVPR89(379-386).
IEEE DOI BibRef
And: RBCV-TR-89-27, March 1989, Toronto. Apply filters etc. BibRef

Fleet, D.J., and Jepson, A.D.,
Stability of Phase Information,
PAMI(15), No. 12, December 1993, pp. 1253-1268.
IEEE DOI
PS File. BibRef 9312
Earlier: Motion91(52-60). BibRef

Black, M.J.[Michael J.], Fleet, D.J.[David J.], Yacoob, Y.[Yaser],
Robustly Estimating Changes in Image Appearance,
CVIU(78), No. 1, April 2000, pp. 8-31. 0004

DOI Link
HTML Version. BibRef
Earlier:
A Framework for Modeling Appearance Change in Image Sequences,
ICCV98(660-667).
IEEE DOI In the robust techniques special issue. BibRef

Jenkin, M.R.M., and Jepson, A.D.,
Recovering Local Surface-Structure Through Local Phase Difference Measurements,
CVGIP(59), No. 1, January 1994, pp. 72-93.
WWW Link. BibRef 9401
Earlier: A2, A1:
The Fast Computation of Disparity from Phase Differences,
CVPR89(398-403).
IEEE DOI Phase Differences. Apply filters etc. See also Techniques for Disparity Measurement. BibRef

Fleet, D.J., and Jepson, A.D.,
Velocity Extraction without Form Interpretation,
CVWS85(179-185). BibRef 8500
Earlier:
A Cascaded Filter Approach to the Construction of Velocity Selective Mechanisms,
RBCV-TR-84-6, Toronto, December 1984. Filters are localized in space, and specific to a small range of velocities. BibRef

Jenkin, M.R.M., and Jepson, A.D.,
Response Profiles of Trajectory Detectors,
SMC(19), No. 6, Nov/Dec 1989, pp. 1617-1622. BibRef 8911
Earlier:
Measuring Trajectory,
Motion89(31-37). BibRef

Fleet, D.J., Hallett, P.E., and Jepson, A.D.,
Spatiotemporal Inseparability in Early Visual Processing,
BioCyber(52), No. 2, 1985, pp. 153-164. BibRef 8500

Fleet, D.J.[David J.], Jepson, A.D.[Allan D.], and Hallett, P.E.[Peter E.],
A Spatio-Temporal Model for Early Visual Processing,
RBCV-TR-84-1, Toronto, April 1984. Discusses the difference of Gaussians model and a center-surround model for early procession and how they may be implemented and how they account for visual phenomena. BibRef 8404

Fleet, D.J.,
The Early Processing of Spatio-Temporal Visual Information,
RBCV-TR-84-7, Toronto, September 1984. MS thesis, related to other of his papers. This paper discusses the difference of Gaussian and the Center-surround methods in terms of human vision. BibRef 8409

Fleet, D.J., and Langley, K.,
Computational analysis of non-Fourier motion,
Vision Research(34), No. 22, 1994, pp. 3057-3079.
HTML Version. BibRef 9400

Langley, K., Fleet, D.J., and Atherton, T.J.,
Multiple Motions from Instantaneous Frequency,
CVPR92(846-849).
IEEE DOI BibRef 9200

Eckert, M.P., Buchsbaum, G., and Watson, A.B.,
Separability of Spatiotemporal Spectra of Image Sequences,
PAMI(14), No. 12, December 1992, pp. 1210-1213.
IEEE DOI BibRef 9212

Chin, T.M., Karl, W.C., Willsky, A.S.,
Probabilistic and Sequential Computation of Optical Flow Using Temporal Coherence,
IP(3), No. 6, November 1994, pp. 773-788.
IEEE DOI BibRef 9411

Chin, T.R.,
On Kalman filter solution of space-time interpolation,
IP(10), No. 4, April 2001, pp. 663-666.
IEEE DOI 0402
Analysis of See also Probabilistic and Sequential Computation of Optical Flow Using Temporal Coherence. with improvements. BibRef


Zhou, B.[Bolei], Hou, X.D.[Xiao-Di], Zhang, L.Q.[Li-Qing],
A Phase Discrepancy Analysis of Object Motion,
ACCV10(III: 225-238).
Springer DOI 1011
BibRef

Jähne, B., Haußecker, H.W., Spies, H., Schmundt, D., Schurr, U.,
Study of Dynamical Processes with Tensor-Based Spatiotemporal Image Processing Techniques,
ECCV98(II: 322).
Springer DOI BibRef 9800

Jahne, B.,
Image Sequence Analysis of Complex Physical Objects: Nonlinear Small Scale Water Surface Waves,
ICCV87(191-200). BibRef 8700

Jahne, B.,
Analytical Studies of Low-Level Motion Estimators in Space-Time Images Using a Unified Filter Concept,
CVPR94(229-236).
IEEE DOI BibRef 9400
Earlier:
Motion Determination in Space-Time Images,
ECCV90(161-173).
Springer DOI Analyze what happens to one line. BibRef

Chou, G.[George],
A Model of Figure-Ground Segregation from Kinetic Occlusion,
ICCV95(1050-1057).
IEEE DOI BibRef 9500

Allen, P.K.,
Real-Time Motion Tracking Using Spatio-Temporal Filters,
DARPA89(695-701). The real time comes from the use of the PIPE computer. BibRef 8900

Beck, W.,
Hierarchical Computation of Image Velocity from Local Phase Information,
ICPR92(I:526-529).
IEEE DOI BibRef 9200

Catanzariti, E.,
Maximum-Likelihood Classification of Image Edges Using Spatial and Spatial-Frequency Features,
ICPR92(I:725-729).
IEEE DOI BibRef 9200

Nalwa, V.S.,
Experiments with a spatiotemporal correlator,
ICPR92(III:712-716).
IEEE DOI 9208
BibRef

Chapter on Motion Analysis --Low-Level, Image Level Analysis, Mosaic Generation, Super Resolution, Shape from Motion continues in
Surface or Contour Motion Using Global Surfaces .


Last update:May 17, 2017 at 14:04:35