18.5 Motion Edges -- Detection and Analysis

Chapter Contents (Back)
Motion, Discontinuity. Edges, Motion. Motion, Edges.

Haynes, S.M.[Susan M.], and Jain, R.C.,
Detection of Moving Edges,
CVGIP(21), No. 3, March 1983, pp. 345-367.
WWW Version. BibRef 8303
And:
Time Varying Edge Detection,
ICPR82(754-756). BibRef
And: Combine Space and time edges by multiplying space edge magnitude by the time difference magnitude. Use the Sobel for the edge detector, and the difference between the frames for time. BibRef

Jain, R.,
Detection of Moving Edges,
CAIA84(142-149). BibRef 8400

Haynes, S.M., Jain, R.[Ramesh],
A Qualitative Approach for Recovering Relative Depths in Dynamic Scenes,
CVWS87(66-71). BibRef 8700

Shah, M.A., and Jain, R.C.,
Detecting Time-Varying Corners,
CVGIP(28), No. 3, December 1984, pp. 345-355.
WWW Version. BibRef 8412
And: ICPR84( 2-5). AND of Corner detector and Temporal changes. BibRef

Hayden, C.H., Gonzalez, R.C., Ploysongsang, A.,
A Temporal Edge-Based Image Segmentor,
PR(20), No. 3, 1987, pp. 281-290.
WWW Version. BibRef 8700

Topa, L.C., and Schalkoff, R.J.,
Edge Detection and Thinning in Time-Varying Image Sequences Using Spatio-Temporal Templates,
PR(22), No. 2, 1989, pp. 143-154.
WWW Version. BibRef 8900

Spoerri, A., and Ullman, S.,
The Early Detection of Motion Boundaries,
ICCV87(209-218). BibRef 8700
And: A1 only: MIT AI-TR-1275, May 1990.
WWW Version. Boundaries can be detected before the flow field is computed using motion data alone. BibRef

Bouthemy, P.,
A Maximum Likelihood Framework for Determining Moving Edges,
PAMI(11), No. 5, May 1989, pp. 499-511.
IEEE Abstract.
IEEE DOI Link A planar surface patch in 3D spatiotemporal space corresponds to an edge. This is derived by convolution of the data with predetermined masks. Occlusions are partially addressed? BibRef 8905

Spacek, L.A.,
Edge Detection and Motion Detection,
IVC(4), No. 1, February 1986, pp. 43-56.
WWW Version. BibRef 8602
And:
The Detection of Contours and Their Visual Motion,
Ph.D.Thesis (Univ. Essex), 1986. Derivation of optimal edge detectors for moving edges. BibRef

Kahn, P.,
Local Determination of a Moving Contrast Edge,
PAMI(7), No. 4, July 1985, pp. 402-409. BibRef 8507
And: Extension:
Determining Temporal Persistence and Consistent Edge Motion from Natural Images,
DraftA gradient based approach in the image intensity domain. Similar to Thompson, and Nagel and others. BibRef

Kahn, P.,
Integrating Moving Edge Information along a 2-D Trajectory in Densely Sampled Imagery,
CVPR88(702-709).
IEEE Abstract. BibRef 8800

Chen, W.G., Nandhakumar, N.,
A Simple Scheme for Motion Boundary Detection,
PR(29), No. 10, October 1996, pp. 1689-1701.
WWW Version. Motion, Discontinuity. BibRef 9610

Kato, K., Ishiguro, H., Tsuji, S.,
Estimating Precise Edge Position By Camera Motion,
RA(12), No. 5, October 1996, pp. 824-829. 9610
BibRef

Stein, A.N.[Andrew N.], Hebert, M.[Martial],
Occlusion Boundaries from Motion: Low-Level Detection and Mid-Level Reasoning,
IJCV(82), No. 3, May 2009, pp. xx-yy.
Springer DOI Link 0903
BibRef
Earlier:
Combining Local Appearance and Motion Cues for Occlusion Boundary Detection,
BMVC07(xx-yy).
PDF Version. 0709
BibRef
Earlier:
Using Spatio-Temporal Patches for Simultaneous Estimation of Edge Strength, Orientation, and Motion,
BP06(19).
IEEE DOI Link 0609
Reasoning about boundries. BibRef

Stein, A.N.[Andrew N.], Hebert, M.[Martial],
Local detection of occlusion boundaries in video,
IVC(27), No. 5, 2 April 2009, pp. 514-522.
Elsevier DOI Link
WWW Version. 0904
BibRef
Earlier: BMVC06(I:407).
PDF Version. 0609
Occlusion boundaries; Edge detection; Contours; Motion analysis; Occlusion detection BibRef

Hoiem, D.[Derek], Efros, A.A.[Alexei A.], Hebert, M.[Martial],
Recovering Occlusion Boundaries from an Image,
IJCV(91), No. 3, February 2011, pp. 328-346.
WWW Version. 1102
BibRef

Hoiem, D.[Derek], Stein, A.N.[Andrew N.], Efros, A.A.[Alexei A.], Hebert, M.[Martial],
Recovering Occlusion Boundaries from a Single Image,
ICCV07(1-8).
IEEE DOI Link 0710
BibRef

Stein, A.N.[Andrew N.], Hoiem, D.[Derek], Hebert, M.[Martial],
Learning to Find Object Boundaries Using Motion Cues,
ICCV07(1-8).
IEEE DOI Link 0710
BibRef

Jacobson, N., Freund, Y., Nguyen, T.Q.,
An Online Learning Approach to Occlusion Boundary Detection,
IP(21), No. 1, January 2012, pp. 252-261.
IEEE DOI Link 1112
BibRef


He, X.M.[Xu-Ming], Yuille, A.Y.[Alan Y.],
Occlusion Boundary Detection Using Pseudo-depth,
ECCV10(IV: 539-552).
Springer DOI Link 1009
See also Occlusion Boundaries from Motion: Low-Level Detection and Mid-Level Reasoning. BibRef

Ernst, F., Wilinski, P., van Overveld, K.,
Dense Structure-from-Motion: An Approach Based on Segment Matching,
ECCV02(II: 217 ff.).
HTML Version. 0205
Start with edge matches, create surface to fill in dense structure. BibRef

Paletta, L., Sinclair, D., and Pinz, A.,
Classification of Edges under Motion,
SCIA97(xx-yy)
HTML Version. 9705
BibRef

Vaina, L.M.[Lucia M.], Grzywacz, N.M.[Norberto M.],
Testing computational theories of motion discontinuities: A psychophysical study,
ECCV92(212-216).
Springer DOI Link 9205
BibRef

Tihanyi, E.Z., and Barron, J.L.,
Spatio-Temporal Edge Focusing,
ICPR90(I: 213-216).
IEEE DOI Link edges and tracking them through time sequence. BibRef 9000

Rubin, J.M.[John M.], Richards, W.A.,
Boundaries of Visual Motion,
MIT AI Memo-835, April 1985.
WWW Version. BibRef 8504

Chapter on Motion Analysis --Low-Level, Image Level Analysis, Mosaic Generation, Super Resolution, Shape from Motion continues in
Motion Using Stereo Pairs or Depth .


Last update:Feb 8, 2012 at 11:25:05