19.3.5 Motion Segmentation, Object Extraction, Evaluation, Survey

Chapter Contents (Back)
Motion, Segmentation. Motion Segmentation. Evaluation, Motion Segmentation.

Kanatani, K.[Kenichi],
Motion Segmentation by Subspace Separation: Model Selection and Reliability Evaluation,
IJIG(2), No. 2, April 2002, pp. 179-197. 0204
BibRef
Earlier:
Evaluation and Selection of Models for Motion Segmentation,
ECCV02(III: 335 ff.).
Springer DOI 0205
BibRef
Earlier:
Motion Segmentation by Subspace Separation and Model Selection,
ICCV01(II: 586-591).
IEEE DOI 0106
Reformulate Costeira-Kanade without factorization to get motion segmentation.
See also Multibody Factorization Method for Independently Moving-Objects, A. BibRef

Bex, P.J.[Peter J.], Dakin, S.C.[Steven C.],
Comparison of the spatial-frequency selectivity of local and global motion detectors,
JOSA-A(19), No. 4, April 2002, pp. 670-677.
WWW Link. 0204
BibRef


Richter, S.R.[Stephan R.], Hayder, Z.[Zeeshan], Koltun, V.[Vladlen],
Playing for Benchmarks,
ICCV17(2232-2241)
IEEE DOI 1802
Dataset, Video. image annotation, image resolution, image segmentation, image sequences, object detection, object tracking, BibRef

Sommer, L.W., Teutsch, M., Schuchert, T., Beyerer, J.,
A Survey on Moving Object Detection for Wide Area Motion Imagery,
WACV16(1-9)
IEEE DOI 1606
Survey, Motion Detection. Cameras BibRef

Kardoost, A.[Amirhossein], Ho, K.[Kalun], Ochs, P.[Peter], Keuper, M.[Margret],
Self-supervised Sparse to Dense Motion Segmentation,
ACCV20(II:421-437).
Springer DOI 2103
BibRef

Keuper, M.[Margret], Brox, T.[Thomas],
Point-Wise Mutual Information-Based Video Segmentation with High Temporal Consistency,
VSeg16(III: 789-803).
Springer DOI 1611
BibRef

Khoreva, A.[Anna], Benenson, R.[Rodrigo], Hosang, J., Hein, M.[Matthias], Schiele, B.[Bernt],
Simple Does It: Weakly Supervised Instance and Semantic Segmentation,
CVPR17(1665-1674)
IEEE DOI 1711
Image segmentation, Labeling, Proposals, Semantics, Shape, Training BibRef

Khoreva, A.[Anna], Benenson, R.[Rodrigo], Omran, M., Hein, M.[Matthias], Schiele, B.[Bernt],
Weakly Supervised Object Boundaries,
CVPR16(183-192)
IEEE DOI 1612
BibRef

Khoreva, A.[Anna], Benenson, R.[Rodrigo], Galasso, F.[Fabio], Hein, M.[Matthias], Schiele, B.[Bernt],
Improved Image Boundaries for Better Video Segmentation,
VSeg16(III: 773-788).
Springer DOI 1611
BibRef

Galasso, F.[Fabio], Keuper, M.[Margret], Brox, T.[Thomas], Schiele, B.[Bernt],
Spectral Graph Reduction for Efficient Image and Streaming Video Segmentation,
CVPR14(49-56)
IEEE DOI 1409
Graph reduction BibRef

Galasso, F.[Fabio], Nagaraja, N.S.[Naveen Shankar], Cardenas, T.J.[Tatiana Jimenez], Brox, T.[Thomas], Schiele, B.[Bernt],
A Unified Video Segmentation Benchmark: Annotation, Metrics and Analysis,
ICCV13(3527-3534)
IEEE DOI 1403
Benchmark BibRef

Stöttinger, J.[Julian], Goras, B.T.[Bogdan Tudor], Pöntiz, T.[Thomas], Hanbury, A.[Allan], Sebe, N.[Nicu], Gevers, T.[Theo],
Systematic Evaluation of Spatio-Temporal Features on Comparative Video Challenges,
VECTaR10(349-358).
Springer DOI 1109

See also Evaluation of Gradient Vector Flow for Interest Point Detection. BibRef

Stottinger, J.[Julian], Zambanini, S.[Sebastian], Khan, R.[Rehanullah], Hanbury, A.[Allan],
FeEval A Dataset for Evaluation of Spatio-temporal Local Features,
ICPR10(499-502).
IEEE DOI 1008
Dataset, Motion. BibRef

Greig, D.[Darryl],
Video object detection speedup using staggered sampling,
WACV09(1-7).
IEEE DOI 0912
BibRef
And: Supplemental Material: WACV09(1-1).
IEEE DOI 0912
BibRef

Benezeth, Y., Jodoin, P.M., Emile, B., Laurent, H., Rosenberger, C.,
Review and evaluation of commonly-implemented background subtraction algorithms,
ICPR08(1-4).
IEEE DOI 0812
Survey, Background Subtraction. BibRef

Parks, D.H.[Donovan H.], Fels, S.S.[Sidney S.],
Evaluation of Background Subtraction Algorithms with Post-Processing,
AVSBS08(192-199).
IEEE DOI 0809
BibRef

Mahamud, S.[Shyjan],
Comparing Belief Propagation and Graph Cuts for Novelty Detection,
CVPR06(I: 1154-1159).
IEEE DOI 0606
BibRef

Gelasca, E.D.[Elisa Drelie], Ebrahimi, T.[Touradj], Karaman, M.[Mustafa], Sikora, T.[Thomas],
A Framework for Evaluating Video Object Segmentation Algorithms,
PercOrg06(198).
IEEE DOI 0609
BibRef

Hall, D., Nascimento, J., Ribeiro, P., Andrade, E., Moreno, P., Pesnel, S., List, T., Emonet, R., Fisher, R.B., Victor, J.S., Crowley, J.L.,
Comparison of target detection algorithms using adaptive background models,
PETS05(113-120).
IEEE DOI 0602
BibRef

Conte, D.[Donatello], Foggia, P.[Pasquale], Petretta, M.[Michele], Tufano, F.[Francesco], Vento, M.[Mario],
Evaluation and Improvements of a Real-Time Background Subtraction Method,
ICIAR05(1234-1241).
Springer DOI 0509
BibRef

Schlogl, T., Beleznai, C., Winter, M., Bischof, H.,
Performance evaluation metrics for motion detection and tracking,
ICPR04(IV: 519-522).
IEEE DOI 0409
BibRef

Wang, Y., Hsieh, X.M., Hu, J.H., Lee, O.,
Region segmentation based on active mesh representation of motion: comparison of parallel and sequential approaches,
ICIP95(II: 185-188).
IEEE DOI 9510
BibRef

Chapter on Motion Analysis -- Low-Level, Image Level Analysis, Mosaic Generation, Super Resolution, Shape from Motion continues in
Image Montage, Mosaic Generation, Super Resolution and Stabilization .


Last update:Mar 16, 2024 at 20:36:19