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0510
BibRef
Earlier:
Bayesian Object Detection in Dynamic Scenes,
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IEEE DOI
0507
Object detection after optical flow. Non repeating patterns.
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BibRef
Earlier:
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IEEE DOI
0507
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0606
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IEEE DOI
0604
BibRef
Earlier:
Joint Dense 3D Interpretation and Multiple Motion Segmentation of
Temporal Image Sequences: A Variational Framework with Active Curve
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ICIP04(I: 553-556).
IEEE DOI
0505
BibRef
Earlier:
Dense 3D Interpretation of Image Sequences:
A Variational Approach Using Anisotropic Diffusion,
CIAP03(424-429).
IEEE DOI
0310
See also Variational and Level Set Methods in Image Segmentation.
BibRef
Sekkati, H.,
Mitiche, A.,
Joint optical flow estimation, segmentation, and 3D interpretation with
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CVIU(103), No. 2, August 2006, pp. 89-100.
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0608
3D structure, 3D motion, Segmentation, Optical flow;
Variational method, Level sets
BibRef
Mitiche, A.,
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Optical Flow 3D Segmentation and Interpretation:
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0609
Active contour model for dense 3-D segmentation and optical flow.
Scene of moving rigid objects.
See also Region Merging Prior for Variational Level Set Image Segmentation, A.
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A Comparative Evaluation of Algorithms for Fast Computation of Level
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IEEE DOI
0108
See also Region Tracking via Level Set PDEs without Motion Computation.
BibRef
Mansouri, A.R.,
Mitiche, A.,
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Joint Space-Time Motion-Based Segmentation of Image Sequences with
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0303
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CVIU(108), No. 3, December 2007, pp. 230-242.
Elsevier DOI
0711
BibRef
Earlier:
SCVMA04(76-90).
Springer DOI
0405
BibRef
And:
Background Modeling Based on Subpixel Edges,
ICIP07(VI: 321-324).
IEEE DOI
0709
Curves, Elastic curve matching, IHS color space, Tracking, Vehicle;
Similarity transform, Fragmentation
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CVIU(110), No. 1, April 2008, pp. 60-74.
Elsevier DOI
0711
BibRef
Earlier:
ICCV05(II: 1754-1761).
IEEE DOI
0510
Motion-based segmentation, Tracking, Time scale selection,
Incremental modeling, Vision and scene understanding
Parts are rigid (human is multiple parts).
Loop on modeling and tracking.
BibRef
Morimoto, T.[Takashi],
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IEICE(E89-D), No. 3, March 2006, pp. 1299-1302.
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1101
BibRef
Earlier: A1, A5, Only:
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IEEE DOI
1009
BibRef
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Foreground prediction for bilayer segmentation of videos,
PRL(32), No. 14, 15 October 2011, pp. 1720-1734.
Elsevier DOI
1110
Bilayer segmentation, Foreground prediction, Opacity propagation;
Sudden illumination changes, OPSIC
See also Colour harmonisation for images and videos via two-level graph cut.
BibRef
Tang, Z.[Zhen],
Miao, Z.J.[Zhen-Jiang],
Wan, Y.L.[Yan-Li],
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IEEE DOI
1009
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IP(21), No. 9, September 2012, pp. 3865-3876.
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1208
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SPLetters(20), No. 11, 2013, pp. 1078-1081.
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1310
feature extraction
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Zhu, Q.S.[Qing-Song],
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ICPR12(198-201).
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1302
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ICIG11(452-455).
IEEE DOI
1109
BibRef
Zhu, Q.S.[Qing-Song],
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Dynamic video segmentation via a novel recursive Bayesian learning
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ICIP10(2997-3000).
IEEE DOI
1009
BibRef
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Babu, R.V.[R. Venkatesh],
SeamSeg: Video Object Segmentation Using Patch Seams,
CVPR14(376-383)
IEEE DOI
1409
ANNF
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Brucker, L.[Ludovic],
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IP(23), No. 9, September 2014, pp. 3829-3840.
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1410
BibRef
Earlier:
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BMVC13(xx-yy).
DOI Link
1402
graph theory
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Wang, X.[Xu],
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Yu, Y.Z.[Yi-Zhou],
Motion Guided Attention for Video Salient Object Detection,
ICCV19(7273-7282)
IEEE DOI
2004
image motion analysis, learning (artificial intelligence),
object detection, video signal processing, Saliency detection
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Lin, L.[Liang],
Flow Guided Recurrent Neural Encoder for Video Salient Object
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CVPR18(3243-3252)
IEEE DOI
1812
Object detection, Feature extraction, Coherence, Optical imaging,
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Video Motion Segmentation Using New Adaptive Manifold Denoising Model,
CVPR14(65-72)
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1409
Adaptive Manifold Denoising;Video Motion Segmentation
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Temporally-Dependent Dirichlet Process Mixtures for Egocentric Video
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Egocentric14(571-578)
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1409
Dirichlet Process, Video Segmentation
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Coupled ensemble graph cuts and object verification for animal
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ICIP15(2830-2834)
IEEE DOI
1512
Background modeling
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Ren, X.B.[Xiao-Bo],
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He, Z.H.[Zhi-Hai],
Ensemble Video Object Cut in Highly Dynamic Scenes,
CVPR13(1947-1954)
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1309
fuse information across frames to cut out the object.
BibRef
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Background Subtraction Using Global Textures,
DICTA12(1-7).
IEEE DOI
1303
BibRef
Earlier:
Eigen-Patch Based Background Subtraction,
DICTA11(462-467).
IEEE DOI
1205
BibRef
Weber, M.[Markus],
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DOI Link
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Toyama, J.[Jun],
Hierarchical Foreground Detection in Dynamic Background,
CAIP11(II: 413-420).
Springer DOI
1109
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Philips, W.[Wilfried],
An Edge-Based Approach for Robust Foreground Detection,
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1108
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Xu, C.H.[Chang-Hai],
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Kuipers, B.[Benjamin],
Moving Object Segmentation Using Motor Signals,
ECCV12(V: 676-689).
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1210
BibRef
Earlier:
Motion Segmentation by Learning Homography Matrices from Motor Signals,
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1105
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Improved Video Segmentation by Adaptive Combination of Depth Keying and
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0912
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1109
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0909
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0806
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0805
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0711
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0709
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ICPR06(II: 191-194).
IEEE DOI
0609
BibRef
Kobayashi, T.[Takumi],
Yoshikawa, F.[Fumito],
Otsu, N.[Nobuyuki],
Motion image segmentation using global criteria and DP,
FG08(1-6).
IEEE DOI
0809
BibRef
Ito, S.[Satoshi],
Otsu, N.[Nobuyuki],
Detection and Recognition of Moving Objects by Using Motion Invariants,
ICPR06(I: 683-686).
IEEE DOI
0609
BibRef
Jung, T.Y.[Tae-Yeon],
Kim, J.Y.[Ju-Young],
Kim, D.G.[Duk-Gyoo],
Efficient Moving Object Segmentation Algorithm for Illumination Change
in Surveillance System,
ICIAR05(812-819).
Springer DOI
0509
BibRef
Yokoyama, M.,
Poggio, T.,
A Contour-Based Moving Object Detection and Tracking,
PETS05(271-276).
IEEE DOI
0602
BibRef
Schwerdt, K.,
Maman, D.,
Bernas, P.,
Paul, E.,
Target segmentation and event detection at video-rate:
The EAGLE project,
AVSBS05(183-188).
IEEE DOI
0602
BibRef
Schindler, K.,
Spatially Consistent 3D Motion Segmentation,
ICIP05(III: 409-412).
IEEE DOI
0512
BibRef
Biancardini, L.[Loic],
Dokladalova, E.[Eva],
Beucher, S.[Serge],
Letellier, L.[Laurent],
From Moving Edges to Moving Regions,
IbPRIA05(I:119).
Springer DOI
0509
BibRef
Yang, H.[Hua],
Welch, G.[Greg],
Frahm, J.M.[Jan-Michael],
Pollefeys, M.[Marc],
3D Motion Segmentation Using Intensity Trajectory,
ACCV09(I: 157-168).
Springer DOI
0909
BibRef
Taneja, A.[Aparna],
Ballan, L.[Luca],
Pollefeys, M.[Marc],
Modeling Dynamic Scenes Recorded with Freely Moving Cameras,
ACCV10(III: 613-626).
Springer DOI
1011
BibRef
Kim, S.J.[Seon Joo],
Doretto, G.[Gianfranco],
Rittscher, J.[Jens],
Tu, P.H.[Peter H.],
Krahnstoever, N.[Nils],
Pollefeys, M.[Marc],
A model change detection approach to dynamic scene modeling,
AVSBS09(490-495).
IEEE DOI
0909
BibRef
Rittscher, J.[Jens],
Tu, P.H.[Peter H.],
Krahnstoever, N.[Nils],
Simultaneous Estimation of Segmentation and Shape,
CVPR05(II: 486-493).
IEEE DOI
0507
BibRef
Sethi, R.J.[Ricky J.],
Roy-Chowdhury, A.K.[Amit K.],
Ali, S.[Saad],
Activity recognition by integrating the physics of motion with a
Neuromorphic model of perception,
WMVC09(1-8).
IEEE DOI
0912
BibRef
Javed, O.[Omar],
Ali, S.[Saad],
Shah, M.[Mubarak],
Online Detection and Classification of Moving Objects Using
Progressively Improving Detectors,
CVPR05(I: 696-701).
IEEE DOI
0507
BibRef
Barbu, A.,
Yuille, A.L.,
Motion Estimation by Swendsen-Wang Cuts,
CVPR04(I: 754-761).
IEEE DOI
0408
Modeling added and deleted regions (due to occlusions).
Then estimate motion without boundaries and cluster to get moving regions.
See also Generalizing Swendsen-Wang to Sampling Arbitrary Posterior Probabilities.
BibRef
Sugaya, Y.[Yasuyuki],
Kanatani, K.[Kenichi],
Geometric Structure of Degeneracy for Multi-body Motion Segmentation,
SMVP04(13-25).
Springer DOI
0505
BibRef
Huart, J.,
Foret, G.,
Bertolino, P.,
Moving object extraction with a localized pyramid,
ICPR04(IV: 783-786).
IEEE DOI
0409
BibRef
Foret, G.,
Bertolino, P.,
Cibaud, D.,
Partition projection in videos by global and local block-matching,
ICIP02(III: 409-412).
IEEE DOI
0210
BibRef
Shimizu, S.,
Yamamoto, K.,
Wang, C.H.[Cai-Hua],
Sato, Y.,
Tanahashi, H.,
Niwa, Y.,
Moving object detection with mobile stereo omni-directional system
(SOS) based on motion compensatory inter-frame depth subtraction,
ICPR04(III: 248-251).
IEEE DOI
0409
BibRef
Shimada, D.,
Tanahashi, H.,
Kato, K.,
Yamamoto, K.,
Extract and display moving object in all direction by using stereo
omnidirectional system (SOS),
3DIM01(42-47).
IEEE DOI
0106
BibRef
Tanhashi, H.,
Shimada, D.,
Yamamoto, K.,
Niwa, Y.,
Acquisition of three-dimensional information in a real environment by
using the Stereo Omni-directional System (SOS),
3DIM01(365-371).
IEEE DOI
0106
BibRef
Wills, J.,
Agarwal, S.,
Belongie, S.,
What went where,
CVPR03(I: 37-44).
IEEE DOI
0307
motion segmentation that combines the concepts of layer-based methods
and feature-based motion estimation.
BibRef
Marc, C.,
Stephane, T.,
Henri, N.,
Segmentation of non-rigid video objects using long term temporal
consistency,
ICIP02(II: 93-96).
IEEE DOI
0210
BibRef
Inoue, K.[Kohei],
Urahama, K.[Kiichi],
Separation of Multiple Objects in Motion Images by Clustering,
ICCV01(I: 219-224).
IEEE DOI
0106
BibRef
Schödl, A.,
Essa, I.A.,
Depth Layers from Occlusions,
CVPR01(I:639-644).
IEEE DOI
0110
Relative depth. Object moving in static scene.
BibRef
Parker, B.,
Magarey, J.,
Three-dimensional Video Segmentation Using a Variational Method,
ICIP01(II: 765-768).
IEEE DOI
0108
BibRef
Ichimura, N.[Naoyuki],
Motion Segmentation Using Feature Selection and Subspace Method Based
on Shape Space,
ICPR00(Vol III: 850-856).
IEEE DOI
0009
Shape reconstruction from data.
BibRef
Ichimura, N.[Naoyuki],
A Robust and Efficient Motion Segmentation based on Orthogonal
Projection Matrix of Shape Space,
CVPR00(II: 446-452).
IEEE DOI
0005
BibRef
Papadimitriou, T.,
A Novel Rigid Object Segmentation Method Based on Multiresolution 3-d
Motion and Luminance Analysis,
ICIP00(Vol I: 323-326).
IEEE DOI
0008
BibRef
Lu, Z.T.[Zhi-Tao],
Pearlman, W.A.[William A.],
Semi-automatic Semantic Object Extraction for Video Coding,
ICIP00(Vol I: 304-307).
IEEE DOI
0008
BibRef
And:
Semi-Automatic Semantic Video Object Extraction by Active Contour Model,
ICME00(TA2).
0007
BibRef
Hu, Z.C.[Zhen-Cheng],
Uchimura, K.,
Moving Objects Detection from Time-Varied Background:
An Application of Camera 3D Motion Analysis,
3DIM99(59-67).
IEEE DOI
9910
BibRef
Feng, X.L.[Xiao-Lin],
Perona, P.[Pietro],
Scene Segmentation from 3D Motion,
CVPR98(225-231).
IEEE DOI
BibRef
9800
Neumann, B.,
Motion Analysis of Image Sequences for Object Grouping
and Reconstruction,
ICPR80(1262-1273).
BibRef
8000
Chapter on Motion Analysis -- Low-Level, Image Level Analysis, Mosaic Generation, Super Resolution, Shape from Motion continues in
Motion Segmentation, Object Extraction in Compressed Domains .