17.5.2 Optical Flow Field -- Multiple Flows, Transparent Layers, Motion Layers

Chapter Contents (Back)
Multiple Motions. Motion, Multiple. Transparency. Optical Flow, Multiple Layers. Motion, Segmentation. Motion, Discontinuity. See also Image Segmentation from Motion Information.

Beck, J.[Jacob],
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WWW Link. Figural cues. See the Brill comments. BibRef 8508

Brill, M.H.[Michael H.],
Perception of Transparency in Man and Machine: A Comment on Beck,
CVGIP(35), No. 2, August 1986, pp. 270-271.
WWW Link. BibRef 8608

Brill, M.H.[Michael H.],
Physical and Informational Constraints on the Perception of Transparency and Translucency,
CVGIP(28), No. 3, December 1984, pp. 356-362.
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Beck, J.[Jacob],
The Perception of Transparency: A Reply to Brill,
CVGIP(35), No. 2, August 1986, pp. 272-273.
WWW Link. BibRef 8608

Irani, M.[Michal], Rousso, B.[Benny], Peleg, S.[Shmuel],
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IJCV(12), No. 1, February 1994, pp. 5-16.
Springer DOI BibRef 9402
Earlier:
Detecting and Tracking Multiple Moving Objects Using Temporal Integration,
ECCV92(282-287).
Springer DOI Find the dominant object, eliminate it from the data. Find the next one. BibRef

Wang, J.Y.A.[John Y.A.], Adelson, E.H.[Edward H.],
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And: A2, A1: Vismod228, 1993.
HTML Version. and
PS File. BibRef
And: Vismod279, 1994.
HTML Version. and
PS File. Data compression using optic flow. Each layer is an intensity map, with transparancy. Ordered in depth. BibRef

Wang, J.Y.A.[John Y.A.], Adelson, E.H.[Edward H.],
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Adelson, E.H.[Edward H.],
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HTML Version. and
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Adelson, E.H., Wang, J.Y.A., Niyogi, S.A.,
Mid-level vision: new directions in vision and video,
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IEEE DOI 9411
BibRef

Wang, J.Y.A., and Adelson, E.H.,
Layered Representation for Motion Analysis,
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IEEE DOI Award, Longuet-Higgins. BibRef 9300
And: Vismod221, 1993.
HTML Version. and
PS File. Optical Flow, Multiple Motion. Estimate affine parameters within a subregion, group the motion estimates to find objects. BibRef

Wang, J.Y.A., Adelson, E.H.,
Spatio-Temporal Segmentation of Video Data,
Vismod262, 1994.
HTML Version. and
PS File. BibRef 9400

Adelson, E.H.[Edward H.], and Weiss, Y.[Yair],
A Unified Mixture Framework for Motion Segmentation: Incorporating Spatial Coherence and Estimating the Number of Models,
CVPR96(321-326).
IEEE DOI BibRef 9600
And: A2, A1:
Perceptually Organized EM: A Framework for Motion Segmentation That Combines Information about Form and Motion,
Vismod-315, 1995.
HTML Version. and
PS File. BibRef

Darrell, T.J., Pentland, A.P.,
Cooperative Robust Estimation Using Layers of Support,
PAMI(17), No. 5, May 1995, pp. 474-487.
IEEE DOI BibRef 9505
And: Vismod163, 1991.
HTML Version. and
PS File. Kalman Filter. Segmentation and motion for multiple motions. Regions based on homogeneous motions rather than only on connectivity. BibRef

Darrell, T.J., Pentland, A.P.,
Robust Estimation of a Multi-Layered Motion Representation,
Motion91(173-178). BibRef 9100

Darrell, T.J., and Simoncelli, E.P.,
'Nulling' Filters and the Separation of Transparent Motions,
CVPR93(738-739).
IEEE DOI BibRef 9300
And:
On the Use of Nulling Filters to Separate Transparent Motions,
Vismod-198, 1992.
HTML Version. and
PS File. BibRef
And:
Separation of Transparent Motion into Layers Using Velocity-Tuned Mechanisms,
Vismod-244, 1993.
HTML Version. and
PS File. The different motions are treated as separate layers of smooth motions rather than smoothing across the boundaries or detecting the boundaries. BibRef

Huang, Y.[Yan], Palaniappan, K.[Kannappan], Zhuang, X.H.[Xin-Hua], Cavanaugh, J.E.[Joseph E.],
Optic Flow Field Segmentation and Motion Estimation Using a Robust Genetic Partitioning Algorithm,
PAMI(17), No. 12, December 1995, pp. 1177-1190.
IEEE DOI The problem is that with multiple motions (or noise), global depth reconstructions do not work. BibRef 9512

Black, M.J., Anandan, P.,
The Robust Estimation of Multiple Motions: Parametric and Piecewise-Smooth Flow-Fields,
CVIU(63), No. 1, January 1996, pp. 75-104.
DOI Link
HTML Version. Code:
HTML Version. Code, Optic Flow. BibRef 9601
Earlier:
A Framework for the Robust Estimation of Optical Flow,
ICCV93(231-236).
IEEE DOI BibRef
Earlier:
Robust Dynamic Motion Estimation Over Time,
CVPR91(296-302).
IEEE DOI
HTML Version. BibRef
And:
The Robust Estimation of Multiple Motions: Affine and Piecewise-Smooth Flow-Fields,
TR Xerox PARC, December 1993. Motion, Many Frames. Incremental tracking system using multiple resolutions. BibRef

Black, M.J., Anandan, P.,
A Model for the Detection of Motion over Time,
ICCV90(33-37).
IEEE DOI
HTML Version. BibRef 9000

Black, M.J.[Michael J.],
Robust Incremental Optical Flow,
Ph.D.Thesis, Yale Univ. September 1992.
HTML Version. BibRef 9209

Black, M.J.[Michael J.], and Anandan, P.,
Constraints for the Early Detection of Discontinuity from Motion,
AAAI-90(1060-1066).
HTML Version. Yale University BibRef 9000

Sharma, R., Aloimonos, Y.,
Early Detection of Independent Motion from Active Control of Normal Image Flow Patterns,
SMC-B(26), No. 1, February 1996, pp. 42-52.
IEEE Top Reference. BibRef 9602

Tian, T.Y.[Tina Yu], Shah, M.[Mubarak],
Motion Estimation and Segmentation,
MVA(9), No. 1, 1996, pp. 32-42.
Springer DOI 9608
BibRef
Earlier:
Motion segmentation and estimation,
ICIP94(II: 785-789).
IEEE DOI 9411
BibRef

Tian, T.Y.[Tina Yu], Shah, M.[Mubarak],
Recovering 3D Motion Of Multiple Objects Using Adaptive Hough Transform,
PAMI(19), No. 10, October 1997, pp. 1178-1183.
IEEE DOI 9710
BibRef
Earlier:
Recovering 3D Motion and Structure of Multiple Objects Using Adaptive Hough Transform,
ICCV95(284-289).
IEEE DOI BibRef
Earlier:
Estimating 3D motion and shape of multiple objects using Hough transform,
ICPR94(A:658-660).
IEEE DOI 9410
Segment multiple flows using two perspective views and 3D rigidity. Only examine the 2D translation space, but vote in the 5D motion space.. BibRef

Black, M.J.[Michael J.], and Jepson, A.D.[Allan D.],
Estimating Optical-Flow in Segmented Images Using Variable-Order Parametric Models with Local Deformations,
PAMI(18), No. 10, October 1996, pp. 972-986.
IEEE DOI
HTML Version. 9611
Motion of planar regions plus local deformation. See also Design and Use of Linear Models for Image Motion Analysis. BibRef

Black, M.J.[Michael Julian], Jepson, A.D.[Allan Douglas],
Image segmentation using robust mixture models,
US_Patent5,802,203, Sep 1, 1998
WWW Link. image as a series of combined layers BibRef 9809

Ju, S.X.[Shanon X.], Black, M.J.[Michael J.], and Jepson, A.D.[Allan D.],
Skin and Bones: Multi-layer, Locally Affine, Optical Flow and Regularization with Transparency,
CVPR96(307-314).
IEEE DOI See also Summary of Videotaped Presentations: Automatic-Analysis of Motion and Gesture. BibRef 9600

Ju, X.[Xuan],
Estimating Image Motion in Layers: The 'Skin and Bones' Model,
Ph.D.Thesis, Department of Computer Science, University of Toronto, 1998.
PDF File. BibRef 9800

Jepson, A.D., and Black, M.J.,
Mixture Models for Optical Flow Computation,
CVPR93(760-761).
IEEE DOI BibRef 9300
And: RBCV-TR-93-44, April 1993.
HTML Version. Transparency, multiple motions. Patch models for motion and video. BibRef

Black, M.J.,
Recursive Non-Linear Estimation of Discontinuous Flow Fields,
ECCV94(A:138-145).
Springer DOI BibRef 9400

Choi, J.G., Kim, S.D.,
Multistage Segmentation of Optical-Flow Field,
SP(54), No. 2, October 1996, pp. 109-118. 9612
BibRef

Szeliski, R.[Richard], Shum, H.Y.[Heung-Yeung],
Motion Estimation With Quadtree Splines,
PAMI(18), No. 12, December 1996, pp. 1199-1210.
IEEE DOI 9701
BibRef
Earlier: ICCV95(757-763).
IEEE DOI BibRef
And: DEC-CRL-95-1, March, 1995.
HTML Version. Adaptive windows to do multiple flow field computations. BibRef

Milanfar, P.,
Projection-Based, Frequency-Domain Estimation of Superimposed Translational Motions,
JOSA-A(13), No. 11, November 1996, pp. 2151-2162. 9611
BibRef

Milanfar, P.,
Motion from projection: a forward model,
ICIP98(II: 695-699).
IEEE DOI 9810
BibRef

Milanfar, P.,
Two-Dimensional Matched Filtering for Motion Estimation,
IP(8), No. 3, March 1999, pp. 438-444.
IEEE DOI BibRef 9903

Milanfar, P.,
A Model of the Effect of Image Motion in the Radon Transform Domain,
IP(8), No. 9, September 1999, pp. 1276-1281.
IEEE DOI BibRef 9909

Robinson, D.[Dirk], Milanfar, P.[Peyman],
Fast Local and Global Projection-Based Methods for Affine Motion Estimation,
JMIV(18), No. 1, January 2003, pp. 35-54.
DOI Link 0301
BibRef

Sim, D.G., Park, R.H.,
A Two-Stage Algorithm for Motion Discontinuity-Preserving Optical-Flow Estimation,
CVIU(65), No. 1, January 1997, pp. 19-37. 9702

DOI Link BibRef

Pei, S.C., Liou, L.G.,
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IP(6), No. 10, October 1997, pp. 1358-1363.
IEEE DOI 9710
BibRef

Bors, A.G.[Adrian G.], Pitas, I.[Ioannis],
Optical-Flow Estimation and Moving Object Segmentation Based on Median Radial Basis Function Network,
IP(7), No. 5, May 1998, pp. 693-702.
IEEE DOI 9805
BibRef
Earlier:
Segmentation and estimation of the optical flow,
CAIP95(680-685).
Springer DOI 9509
BibRef

Torr, P.H.S.[Philip H.S.], Szeliski, R.[Richard], Anandan, P.,
An Integrated Bayesian Approach to Layer Extraction from Image Sequences,
PAMI(23), No. 3, March 2001, pp. 297-303.
IEEE DOI 0103
BibRef
Earlier: ICCV99(983-990).
IEEE DOI Model 3D scenes as a collection of approximately planar layers in arbitrary position and orientation. Compute 3D descriptions. Uses a Bayesian version of RANSAC. BibRef

Langley, K., Fleet, D.J., and Hibbard, P.,
Linear and nonlinear transparency in binocular vision,
RoyalP(B-265), 1998, pp. 1837-1845.
HTML Version. BibRef 9800

Langley, K., Fleet, D.J., Atherton, T.J.,
On Transparent Motion Computation,
BMVC92(xx-yy).
PDF File. 9209
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Argyros, A.A., Trahanias, P.E., Orphanoudakis, S.C.,
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Argyros, A.A., Orphanoudakis, S.C.,
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IEEE DOI 9704
2 cameras. Use depth to separate different motions. BibRef

Argyros, A.A., Lourakis, M.I.A., Trahanias, P.E., and Orphanoudakis, S.C.,
Independent 3D Motion Detection through Robust Regression in Depth Layers,
BMVC96(Poster Session 2). 9608
FORTH and University of Crete BibRef

Lourakis, M.I.A.[Manolis I.A.], Argyros, A.A.[Antonis A.], and Orphanoudakis, S.C.[Stelios C.],
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Torr, P.H.S.[Philip H.S.], Fitzgibbon, A.W.[Andrew W.], Zisserman, A.[Andrew],
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DOI Link BibRef 9908
Earlier:
Maintaining Multiple Motion Model Hypotheses over Many Views to Recover Matching and Structure,
ICCV98(485-491).
IEEE DOI Award, Marr Prize. BibRef

Fitzgibbon, A.W., Zisserman, A.,
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PS File. BibRef

Yu, W.C.[Wei-Chuan], Sommer, G.[Gerald], Beauchemin, S.[Steven], Daniilidis, K.[Kostas],
Oriented Structure of the Occlusion Distortion: Is It Reliable?,
PAMI(24), No. 9, September 2002, pp. 1286-1290.
IEEE Abstract. Or:
PDF File. 0209
Analysis of multiple motions. Argue that oriented velocity term cannot always work as a reliable feature. ( See also Unified Computational Theory for Motion Transparency and Motion Boundaries Based on Eigenenergy Analysis, A. ). BibRef

Yu, W.C.[Wei-Chuan], Sommer, G.[Gerald], Daniilidis, K.[Kostas],
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IVC(21), No. 5, 2003, pp. 447-458.
WWW Link. 0304
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Earlier:
3D-Orientation Signatures with Conic Kernel Filtering for Multiple Motion Analysis,
CVPR01(I:299-306).
IEEE DOI 0110
Recover multiple motions. Accumulation based approach. BibRef

Yu, W.C.[Wei-Chuan], Sommer, G.[Gerald], Daniilidis, K.[Kostas],
Multiple motion analysis: in spatial or in spectral domain?,
CVIU(90), No. 2, May 2003, pp. 129-152.
WWW Link. 0307
Spatial domain of the S-T is best for occlusions. BibRef

Yu, W.C.[Wei-Chuan], Daniilidis, K.[Kostas], Beauchemin, S.[Steven], Sommer, G.[Gerald],
Detection and Characterization of Multiple Motion Points,
CVPR99(I: 171-177).
IEEE DOI Or:
PS File. BibRef 9900

Tweed, D.S., Calway, A.D.,
Integrated Segmentation and Depth Ordering of Motion Layers in Image Sequences,
IVC(20), No. 9-10, August 2002, pp. 709-723.
WWW Link. 0208
BibRef
Earlier: BMVC00(xx-yy).
PDF File. 0009
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And:
Moving Object Graphs and Layer Extraction from Image Sequences,
BMVC01(Poster Session 1. ).
HTML Version. University of Bristol 0110
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Toro, J.[Javier], Owens, F.[Frank], Medina, R.[Rubén],
Using known motion fields for image separation in transparency,
PRL(24), No. 1-3, January 2003, pp. 597-605.
Elsevier DOI 0211
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Nicolescu, M.[Mircea], Medioni, G.[Gérard],
Layered 4D representation and voting for grouping from motion,
PAMI(25), No. 4, April 2003, pp. 492-501.
IEEE Abstract. 0304
Grouping motion, formulat as 4D problem. Tensor to enforce smoothness. BibRef

Nicolescu, M.[Mircea], Medioni, G.[Gérard],
Perceptual Grouping from Motion Cues Using Tensor Voting in 4-D,
ECCV02(III: 423 ff.).
Springer DOI 0205
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Nicolescu, M., Medioni, G.,
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PAMI(27), No. 5, May 2005, pp. 739-752.
IEEE Abstract. 0501
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Earlier:
Voting-based grouping and interpretation of visual motion,
Southwest04(211-215).
WWW Link. 0411
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Nicolescu, M., Medioni, G.,
Motion segmentation with accurate boundaries: A tensor voting approach,
CVPR03(I: 382-389).
IEEE DOI 0307
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Nicolescu, M., Medioni, G.,
4-D voting for matching, densification and segmentation into motion layers,
ICPR02(III: 303-308).
IEEE DOI 0211
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Smith, P.A.[Paul A.], Drummond, T.W.[Tom W.], Cipolla, R.[Roberto],
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PAMI(26), No. 4, April 2004, pp. 479-494.
IEEE Abstract. 0403
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Earlier:
Motion Segmentation by Tracking Edge Information over Multiple Frames,
ECCV00(II: 396-410).
Springer DOI 0003

HTML Version.
PS File. BibRef
Earlier:
Edge tracking for motion segmentation and depth ordering,
BMVC99(Movement and Tracking).
PDF File.
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Smith, P.A., Drummond, T.W., Cipolla, R.,
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Guo, Q.H.[Qing-Hong], Mandal, M.K.[Mrinal K.], Li, M.Y.[Micheal Y.],
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PRL(26), No. 4, March 2005, pp. 493-501.
WWW Link. 0501
DHHFD: discrete Hodge–Helmholtz field decomposition. Flow into curl-free component, divergence-free component, harmonic remainder. BibRef

Mota, C.[Cicero], Stuke, I.[Ingo], Aach, T.[Til], Barth, E.[Erhardt],
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Earlier: A4, A2, A3, A1:
Spatio-temporal motion estimation for transparency and occlusions,
ICIP03(III: 65-68).
IEEE DOI 0312
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Barth, E., Stuke, I., Mota, C.,
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Southwest02(206-210).
IEEE Top Reference. 0208
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Mota, C., Stuke, I., Barth, E.,
Analytic Solutions for Multiple Motions,
ICIP01(II: 917-920).
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Xiao, J.J.[Jiang-Jian], Shah, M.[Mubarak],
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IEEE DOI 0509
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Earlier: CVPR04(II: 972-979).
IEEE DOI 0408
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Earlier: BMVC05(xx-yy).
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Multiple views; Segmentation; Novel view synthesis BibRef

Derpanis, K.G.[Konstantinos G.], Wildes, R.P.[Richard P.],
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PAMI(32), No. 7, July 2010, pp. 1310-1316.
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Xu, F., Dai, Q.,
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Sakaino, H.,
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Motion estimation method based on physical properties of waves,
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IEEE DOI 0806
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Sakaino, H.,
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Gerlich, T., Eriksson, J.,
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3DV16(212-220)
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CVPR14(1098-1105)
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Sguario, M.L.[Mauren Louise], Ramos de Arruda, L.V.[Lucia Valeria], Buss, I.N.[Iuri Nack], Nascimento, H.C.[Henderson Cari],
Segmentation of Two-Phase Flow: A Free Representation for Levet Set Method with a Priori Knowledge,
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Braid Theory BibRef

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Topology-Constrained Layered Tracking with Latent Flow,
ICCV13(161-168)
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flow; layers; topology; tracking BibRef

Wulff, J.[Jonas], Black, M.J.[Michael J.],
Efficient sparse-to-dense optical flow estimation using a learned basis and layers,
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Lasaruk, A.[Aless],
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Sun, D.[Deqing], Sudderth, E.B.[Erik B.], Black, M.J.[Michael J.],
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Chen, Z.Y.[Zhuo-Yuan], Wang, J.[Jiang], Wu, Y.[Ying],
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Yan, Q.[Qing], Yang, X.K.[Xiao-Kang], Xu, Y.[Yi],
Separation of superimposed images with unknown motions using sparsity priors,
VCIP11(1-4).
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Muller, T.[Thomas], Rannacher, J.[Jens], Rabe, C.[Clemens], Franke, U.[Uwe],
Feature- and depth-supported modified total variation optical flow for 3D motion field estimation in real scenes,
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Papadakis, N., Baeza, A., Gargallo, P., Caselles, V.[Vicent],
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ICIP10(765-768).
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Chen, Y.Q.[Yun-Qiang], Chang, T.C.[Ti-Chiun], Zhou, C.X.[Chun-Xiao], Fang, T.[Tong],
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Fradet, M.[Matthieu], Perez, P.[Patrick], Robert, P.[Philippe],
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ICIP08(3224-3227).
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Chen, Y.Q.A.[Yun-Qi-Ang], Maitre, M.[Matthieu], Fang, T.[Tong],
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ICIP08(821-824).
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Cheriyadat, A.M., Radke, R.J.,
Automatically Determining Dominant Motions in Crowded Scenes by Clustering Partial Feature Trajectories,
ICDSC07(52-58).
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Not really optical flow, but close. BibRef

Yeung, S.K.[Sai-Kit], Wu, T.P.[Tai-Pang], Tang, C.K.[Chi-Keung],
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IEEE DOI 0806
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Ulges, A.[Adrian], Lampert, C.H.[Christoph H.], Keysers, D.[Daniel], Breuel, T.M.[Thomas M.],
Optimal Dominant Motion Estimation Using Adaptive Search of Transformation Space,
DAGM07(204-213).
Springer DOI 0709
BibRef

Mrak, M., Sprljan, N., Izquierdo, E.,
Evaluation of Techniques for Modeling of Layered Motion Structure,
ICIP06(1905-1908). 0610

IEEE DOI BibRef

Sarel, B.[Bernard], Irani, M.[Michal],
Separating Transparent Layers of Repetitive Dynamic Behaviors,
ICCV05(I: 26-32).
IEEE DOI 0510
BibRef
Earlier:
Separating Transparent Layers through Layer Information Exchange,
ECCV04(Vol IV: 328-341).
Springer DOI 0405
BibRef

Chamorro-Martínez, J.[Jesús], Martínez-Baena, J.[Javier], Galán-Perales, E.[Elena], Prados-Suárez, B.[Beén],
Dealing with Multiple Motions in Optical Flow Estimation,
IbPRIA05(I:52).
Springer DOI 0509
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Jacobs, A.[Arne], Hermes, T.[Thorsten], Herzog, O.[Otthein],
Hybrid Model-Based Estimation of Multiple Non-dominant Motions,
DAGM04(87-94).
Springer DOI 0505
BibRef

Zhang, Y.J.[Yun-Jun], Xiao, J.J.[Jiang-Jian], Shah, M.[Mubarak],
Motion Layer Based Object Removal in Videos,
WACV05(I: 516-521).
IEEE DOI 0502
BibRef

Yalcin, H.[Hulya], Black, M.J.[Michael J.], Fablet, R.[Ronan],
The Dense Estimation of Motion and Appearance in Layers,
VideoRegister04(165).
WWW Link. 0502
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Spies, H.[Hagen], Forssén, P.E.[Per-Erik],
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A robust subspace approach to layer extraction,
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ECCV02(I: 692 ff.).
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Bartolini, F., Cappellini, V., and Tucci, L.,
Simultaneous Optic Flow Estimation and Segmentation by Means of LS Techniques,
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Closing the Loop on Multiple Motions,
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Hsu, S.C., Anandan, P., Peleg, S.,
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Bergen, J.R.[James R.], Burt, P.J.[Peter J.], Hingorani, R.[Rajesh], Peleg, S.[Shmuel],
Transparent-motion analysis,
ECCV90(566-569).
Springer DOI 9004
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Sadjadi, F.A., Hwang, J.J., Hall, E.L., Roberts, M.J.,
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ICPR80(386-392). BibRef 8000

Gose, E.E., Rose, W.H., Barnes, W.E., Kaplan, E., Arnold, J.S.,
Decomposition of Image Sequnces of Overlapping Homogeneous Transparent Radiating Objects,
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Chapter on Optical Flow Field Computations and Use continues in
Optical Flow Field -- Information Extraction .


Last update:Sep 25, 2017 at 16:36:46