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
Computation of Normal Velocity from Local Phase Information,
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.
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
A Framework for Modeling Appearance Change in Image Sequences,
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,
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
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
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,
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.
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

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,
IEEE DOI BibRef 9400
Motion Determination in Space-Time Images,
Springer DOI Analyze what happens to one line. BibRef

Chou, G.[George],
A Model of Figure-Ground Segregation from Kinetic Occlusion,
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,
IEEE DOI BibRef 9200

Catanzariti, E.,
Maximum-Likelihood Classification of Image Edges Using Spatial and Spatial-Frequency Features,
IEEE DOI BibRef 9200

Nalwa, V.S.,
Experiments with a spatiotemporal correlator,

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:Mar 13, 2017 at 16:25:24