18.3.2 Image Segmentation from Motion Information

Potter, J.L.,
Scene Segmentation Using Motion Information,
CGIP(6), No. 6, December 1977, pp. 558-581.
WWW Version. BibRef 7712
Earlier:
Scene Segmentation by Velocity Measurements Obtained with a Cross-Shaped Template,
IJCAI75(803-810). Perform analysis only at grid points. Use a cross template at the grid points. Locate the boundary of the arms of the cross (if any), and use these to follow the object to the next point. Find the match for these templates in next image, T and L templates are introduced to find occluding objects. Nonrigid (continuous) motion, acceleration, z direction motion, and real time analysis is possible. Points are grouped based on velocity (x,y,z), acceleration, and continuity of motion. BibRef

Potter, J.L.,
Velocity as a Cue to Segmentation,
SMC(5), 1975, pp. 390-394. BibRef 7500

Potter, J.L.,
Extraction and Utilization of Motion in Scene Description,
Ph.D.Univ. of Wisconsin, 1974. BibRef 7400

Murray, D.W., and Buxton, B.F.,
Scene Segmentation from Visual Motion Using Global Optimization,
PAMI(9), No. 2, March 1987, pp. 220-228. Uses a MAP criterion and simulated annealing to search for the optimal segmentation when given the optical flow. 1200 iterations are used. BibRef 8703

Murray, D.W., and Buxton, B.F.,
Experiments in the Machine Interpretation of Visual Motion,
Cambridge: MIT Press1990. BibRef 9000 BookAlgorithms and systems for 2-D motion in an image, the 3-D structure and object recognition. BibRef

Harris, J.G.,
An Analog Network for Continuous-Time Segmentation,
IJCV(10), No. 1, February 1993, pp. 43-51.
Springer DOI Link Hardware implementation of motion segmentation technique. See also Analog Hardware for Detecting Discontinuities in Early Vision. BibRef 9302

Park, D.,
Adaptive Bayesian Decision-Model for Motion Segmentation,
PRL(15), No. 12, December 1994, pp. 1183-1189. BibRef 9412

Tanaka, M.,
On the Representation of the Projected Motion Group in 2+1D,
PRL(14), 1993, pp. 871-678. BibRef 9300

Tanaka, M., Kurita, T., Umeyama, S.,
Image Understanding Via Representation of the Projected Motion Group,
PRL(15), No. 10, October 1994, pp. 993-1001. BibRef 9410

Choi, J.G., Lee, S.W., Kim, S.D.,
Spatiotemporal Video Segmentation Using a Joint Similarity Measure,
CirSysVideo(7), No. 2, April 1997, pp. 279-286.
IEEE Top Reference. 9704
BibRef

Lee, S.W., Choi, J.G., Kim, S.D.,
Scene Segmentation Using a Combined Criterion of Motion and Intensity,
OptEng(36), No. 8, August 1997, pp. 2346-2352. 9708
BibRef

Borshukov, G.D., Bozdagi, G., Altunbasak, Y., Tekalp, A.M.,
Motion Segmentation by Multistage Affine Classification,
IP(6), No. 11, November 1997, pp. 1591-1594.
IEEE DOI Link 9710
Build on Wang and Adelson: See also Representing Moving Images with Layers. Clustering replaced by merging, implement in multiple stages. BibRef

Bober, M.[Miroslaw], Petrou, M., Kittler, J.V.,
Nonlinear Motion Estimation Using The Supercoupling Approach,
PAMI(20), No. 5, May 1998, pp. 550-555.
IEEE Abstract. IEEE Top Reference.
WWW Version. 9806
BibRef
Earlier: A2, A1, A3:
Multiresolution Motion Segmentation,
ICPR94(A:379-383). Efficient multiresolution approach for motion segmentation. BibRef

Zhang, K.[Kui], Bober, M., Kittler, J.V.,
Video Coding Using Affine Motion Compensated Prediction,
ICASSP96(XX). BibRef 9600
And:
Motion Based Image Segmentation for Video Coding,
ICIP95(III: 476-479).
IEEE DOI Link 9510
BibRef
And:
Motion Compensation: The Selection of Optimal Motion Estimation Technique and Quantization Levels,
DSP95(457-462). BibRef
And:
Variable Block Size Video Coding with Motion Prediction and Motion Segmentation,
SPIE(2419), February 1995, pp. 62-70. BibRef
And:
Robust Motion Estimation and Multistage VQ for Sequence Compression,
ICIP94(II: 452-456).
IEEE DOI Link 9411
Dept. of Electronic Eng.. University of Surrey. BibRef

Salari, E., Li, W.,
A fast quadtree motion segmentation for image sequence coding,
SP:IC(14), No. 10, August 1999, pp. 811-816.
WWW Version. BibRef 9908

Vasconcelos, N.[Nuno], Lippman, A.[Andrew],
Empirical Bayesian Motion Segmentation,
PAMI(23), No. 2, February 2001, pp. 217-221.
IEEE Abstract. IEEE Top Reference.
WWW Version. 0102
BibRef
Earlier:
Empirical Bayesian EM Based Motion Segmentation,
CVPR97(527-532).
IEEE Abstract. IEEE Top Reference.
WWW Version. 9704
(other paper?) Expectation maximation (motion with occlusions) Layered motion representation. See also Statistical Models of Video Structure for Content Analysis and Characterization. BibRef

Wiskott, L.[Laurenz],
Segmentation from motion: Combining Gabor- and Mallat-Wavelets to Overcome the Aperture and Correspondence Problems,
PR(32), No. 10, October 1999, pp. 1751-1766.
WWW Version. BibRef 9910
Earlier:
Segmentation from Motion: Combining Gabor- and Mallat-Wavelets to Overcome Aperture and Correspondence Problem,
CAIP97(329-336).
WWW Version. 9709
BibRef
And: TR-IR-INI 96-10, Institut fur Neuroinformatik, Ruhr-Universitat Bochum, 44780 Bochum, Germany, November 1996.
HTML Version. and
Postscript Version. BibRef

Czúni, L.[László], Szirányi, T.[Tamás],
Motion Segmentation and Tracking with Edge Relaxation and Optimization using Fully Parallel Methods in the Cellular Nonlinear Network Architecture,
RealTimeImg(7), No. 1, February 2001, pp. 77-95.
WWW Version. 0106
BibRef
Earlier: A2, A1:
Spatio-temporal Segmentation with Edge Relaxation and Optimization Using Fully Parallel Methods,
ICPR00(Vol IV: 820-823).
IEEE DOI Link
HTML Version. 0009
BibRef

Kim, J.S.[Jin-Sang], Chen, T.[Tom],
Multiple feature clustering for image sequence segmentation,
PRL(22), No. 11, September 2001, pp. 1207-1217.
HTML Version. 0108
BibRef
Earlier:
Segmentation of Image Sequences Using SOFM Networks,
ICPR00(Vol III: 869-872).
IEEE DOI Link
HTML Version. 0009
BibRef

Fernandez-Caballero, A., Mira, J., Fernandez, M.A., Lopez, M.T.,
Segmentation from motion of non-rigid objects by neuronal lateral interaction,
PRL(22), No. 14, December 2001, pp. 1517-1524.
HTML Version. 0110
BibRef

Fernández, M.A.[Miguel A.], Fernández-Caballero, A.[Antonio], López, M.T.[María T.], Mira, J.[José],
Length-speed ratio (LSR) as a characteristic for moving elements real-time classification,
RealTimeImg(9), No. 1, February 2003, pp. 49-59.
WWW Version. 0304
BibRef

López, M.T.[María T.], Fernández-Caballero, A.[Antonio], Fernández, M.A.[Miguel A.], Mira, J.[José], Delgado, A.E.[Ana E.],
Visual surveillance by dynamic visual attention method,
PR(39), No. 11, November 2006, pp. 2194-2211.
WWW Version. 0608
Dynamic visual attention; Visual surveillance; Segmentation from motion; Feature extraction; Feature integration BibRef

Rodríguez, J.A., Urdiales García, C.[Cristina], Bandera Rubio, A.[Antonio], Sandoval Hernández, F.[Francisco],
Nonuniform video coding by means of multifoveal geometries,
IJIST(12), No. 1, 2002, pp. 27-34.
WWW Version. 0202
BibRef

Rodríguez, J.A., Urdiales García, C.[Cristina], Bandera Rubio, A.[Antonio], Sandoval Hernández, F.[Francisco],
A multiresolution spatiotemporal motion segmentation technique for video sequences based on pyramidal structures,
PRL(23), No. 14, December 2002, pp. 1761-1769.
HTML Version. 0208
BibRef

Valencia, G., Rodríguez, J.A., Urdiales García, C.[Cristina], Bandera Rubio, A.[Antonio], Sandoval Hernández, F.[Francisco],
Spatiotemporal video segmentation and motion estimation through irregular pyramids,
PR(36), No. 6, June 2003, pp. 1445-1447.
WWW Version. 0304
BibRef

Valencia, G., Rodríguez, J.A., Urdiales García, C.[Cristina], Sandoval Hernández, F.[Francisco],
Color-based video segmentation using interlinked irregular pyramids,
PR(37), No. 2, February 2004, pp. 377-380.
WWW Version. 0311
BibRef

Camapum Wanderley, J.F.[Juliana F.], Fisher, M.H.[Mark H.],
Spatial-Feature Parametric Clustering Applied to Motion-Based Segmentation in Camouflage,
CVIU(85), No. 2, February 2002, pp. 144-157.
WWW Version. 0210
BibRef
Earlier:
Segmentation using spatial-feature clustering from image sequences,
ICIP98(III: 799-803).
IEEE DOI Link 9810
See also Multiscale color invariants based on the human visual system. BibRef

Sifakis, E.[Eftychis], Grinias, I.[Ilias], Tziritas, G.[Georgios],
Video Segmentation Using Fast Marching and Region Growing Algorithms,
JASP(2002), No. 4, 2002, pp. 379-388.
HTML Version. 0204
See also Colour and Texture Segmentation Using Wavelet Frame Analysis, Deterministic Relaxation, and Fast Marching Algorithms. BibRef

Grinias, I., Tziritas, G.,
A semi-automatic seeded region growing algorithm for video object localization and tracking,
SP:IC(16), No. 10, August 2001, pp. 977-986.
WWW Version. 0001
BibRef

Grinias, I., Tziritas, G.,
Foreground object localization using a flooding algorithm based on inter-frame change and colour,
AVSBS07(523-527).
IEEE DOI Link 0709
BibRef

Sifakis, E.[Eftychis], Tziritas, G.[Georgios],
Moving object localisation using a multi-label fast marching algorithm,
SP:IC(16), No. 10, August 2001, pp. 963-976.
WWW Version. 0001
BibRef
Earlier:
Fast Marching to Moving Object Location,
ScaleSpace99(447-452). Change detection; Video object segmentation; Fast marching algorithm BibRef

Mansouri, A.R.[Abdol-Reza], Konrad, J.[Janusz],
Multiple Motion Segmentation with Level Sets,
IP(12), No. 2, February 2003, pp. 201-220.
IEEE DOI Link 0304
BibRef
Earlier:
Motion Segmentation with Level Sets,
ICIP99(II:126-130).
IEEE Abstract. IEEE Top Reference. See also Approximation of Images by Basis Functions for Multiple Region Segmentation with Level Sets. BibRef

Fowlkes, C.C.[Charless C.], Belongie, S.[Serge], Chung, F.[Fan], Malik, J.[Jitendra],
Spectral Grouping Using the Nystrom Method,
PAMI(26), No. 2, February 2004, pp. 214-225.
IEEE Abstract. IEEE Top Reference. 0402
BibRef
Earlier: A2, A1, A3, A4:
Spectral Partitioning with Indefinite Kernels Using the Nyström Extension,
ECCV02(III: 531 ff.).
HTML Version. 0205
See also Normalized Cuts and Image Segmentation. See also Efficient Spatiotemporal Grouping Using the Nyström Method. Reduce computation time so that algorithm can be applied in motion application. Leverage the fact that there are more pixels than coherent groups. BibRef

Fowlkes, C.C., Belongie, S., Malik, J.,
Efficient Spatiotemporal Grouping Using the Nyström Method,
CVPR01(I:231-238).
IEEE Abstract. IEEE Top Reference. 0110
See also Normalized Cuts and Image Segmentation. Motion segmentation, Spectral segmentation then motion. BibRef

Calderón, F.[Felix], Marroquín, J.L.[Jose L.], Botello, S.[Salvador], Vemuri, B.C.[Baba C.],
The MPM-MAP algorithm for motion segmentation,
CVIU(95), No. 2, August 2004, pp. 165-183.
WWW Version. 0409
BibRef
Earlier: A2, A3, A1, A4:
The MPM-MAP Algorithm for Image Segmentation,
ICPR00(Vol I: 303-308).
IEEE DOI Link
HTML Version. 0009
See also Hidden Markov measure field models for image segmentation. BibRef

Kim, E.Y.[Eun Yi], Hwang, S.W.[Sang Won], Park, S.H.[Se Hyun], Kim, H.J.[Hang Joon],
Spatiotemporal segmentation using genetic algorithms,
PR(34), No. 10, October 2001, pp. 2063-2066.
WWW Version. 0108
BibRef

Kim, E.Y.[Eun Yi], Park, S.H.[Se Hyun], Hwang, S.W.[Sang Won], Kim, H.J.[Hang Joon],
Video sequence segmentation using genetic algorithms,
PRL(23), No. 7, May 2002, pp. 843-863.
HTML Version. 0203
BibRef
Earlier: A3, A1, A2, A4:
Object Extraction and Tracking Using Genetic Algorithms,
ICIP01(II: 383-386).
IEEE Abstract. IEEE Top Reference. 0108
BibRef

Kim, E.Y.[Eun Yi], Park, S.H.[Se Hyun],
Automatic video segmentation using genetic algorithms,
PRL(27), No. 11, August 2006, pp. 1252-1265.
WWW Version. 0606
BibRef
Earlier:
A Genetic Algorithm with Automatic Parameter Adaptation for Video Segmentation,
CAIP03(238-245).
WWW Version. 0311
Genetic algorithm; Markov random fields; Object detection; Tracking BibRef

Park, S.H.[Se Hyun], Kim, E.Y.[Eun Yi], Cho, B.J.[Beom-Joon],
Genetic Algorithm-Based Video Segmentation with Adaptive Population Size,
DAGM03(426-433).
HTML Version. 0310
BibRef

Kim, E.Y.[Eun Yi], Jung, K.C.[Kee-Chul],
Genetic algorithms for video segmentation,
PR(38), No. 1, January 2005, pp. 59-73.
WWW Version. 0410
BibRef

Cremers, D.[Daniel], Soatto, S.[Stefano],
Motion Competition: A Variational Approach to Piecewise Parametric Motion Segmentation,
IJCV(62), No. 3, May 2005, pp. 249-265.
Springer DOI Link 0501
BibRef
Earlier:
Variational space-time motion segmentation,
ICCV03(886-893).
IEEE DOI Link 0311
BibRef

Cremers, D., Schnörr, C.,
Motion Competition: Variational Integration of Motion Segmentation and Shape Regularization,
DAGM02(472-480).
HTML Version.
Postscript Version. Award, DAGM. 0303
BibRef

Cremers, D.[Daniel], Yuille, A.L.[Alan L.],
A Generative Model Based Approach to Motion Segmentation,
DAGM03(313-320).
HTML Version. 0310
BibRef

Nordberg, K.[Klas], Farnebäck, G.[Gunnar],
Estimation of orientation tensors for simple signals by means of second-order filters,
SP:IC(20), No. 6, July 2005, pp. 582-594.
WWW Version. 0506
BibRef
Earlier:
A framework for estimation of orientation and velocity,
ICIP03(III: 57-60).
IEEE Abstract. IEEE Top Reference. 0312
BibRef

Farnebäck, G.[Gunnar],
Polynomial Expansion for Orientation and Motion Estimation,
Ph.D.Thesis, Linkoping University, 2002.
HTML Version. BibRef 0200

Farnebäck, G.[Gunnar],
Two-Frame Motion Estimation Based on Polynomial Expansion,
SCIA03(363-370).
WWW Version. 0310
BibRef

Farnebäck, G.[Gunnar],
Very High Accuracy Velocity Estimation using Orientation Tensors, Parametric Motion, and Simultaneous Segmentation of the Motion Field,
ICCV01(I: 171-177).
IEEE DOI Link 0106
BibRef
Earlier:
Fast and Accurate Motion Estimation Using Orientation Tensors and Parametric Motion Models,
ICPR00(Vol I: 135-139).
IEEE DOI Link
HTML Version. 0009
BibRef

Farnebäck, G.[Gunnar],
Motion-Based Segmentation of Image Sequences Using Orientation Tensors,
SSAB97(Computer Vision) 9703
BibRef

Fan, Z.M.[Zhi-Min], Zhou, J.[Jie], Wu, Y.[Ying],
Multibody Grouping by Inference of Multiple Subspaces from High-Dimensional Data Using Oriented-Frames,
PAMI(28), No. 1, January 2006, pp. 91-105.
IEEE DOI Link 0512
BibRef
Earlier:
Inference of multiple subspaces from high-dimensional data and application to multibody grouping,
CVPR04(II: 661-666).
IEEE Abstract. IEEE Top Reference. 0408
BibRef

Wong, K.Y.[King Yuen], Spetsakis, M.E.[Minas E.],
Tracking based motion segmentation under relaxed statistical assumptions,
CVIU(101), No. 1, January 2005, pp. 45-64.
WWW Version. 0512
BibRef
Earlier:
Motion Segmentation by EM Clustering of Good Features,
VideoRegister04(166).
HTML Version. 0502
BibRef
Earlier:
Motion Segmentation and Tracking,
VI02(80).
PDF Version. 0208
BibRef

Wong, K.Y., Ye, L., Spetsakis, M.E.,
EM Clustering of Incomplete Data Applied to Motion Segmentation,
BMVC04(xx-yy).
HTML Version. 0508
BibRef

Bicego, M.[Manuele], Cristani, M.[Marco], Murino, V.[Vittorio],
Unsupervised scene analysis: A hidden Markov model approach,
CVIU(102), No. 1, April 2006, pp. 22-41.
WWW Version. 0604
Scene analysis; Video processing; Video segmentation; Scene understanding; Video surveillance See also Similarity-based classification of sequences using hidden Markov models. BibRef

Regazzoni, C.S., Murino, V.[Vittorio],
Multilevel GMRF-based segmentation of image sequences,
ICPR92(II:713-716).
IEEE DOI Link 9208
BibRef

Vazquez, C., Mitiche, A., Laganiere, R.,
Joint Multiregion Segmentation and Parametric Estimation of Image Motion by Basis Function Representation and Level Set Evolution,
PAMI(28), No. 5, May 2006, pp. 782-793.
IEEE DOI Link 0604
BibRef

Gheissari, N.[Niloofar], Bab-Hadiashar, A.[Alireza], Suter, D.[David],
Parametric model-based motion segmentation using surface selection criterion,
CVIU(102), No. 2, May 2006, pp. 214-226.
WWW Version. 0605
BibRef
Earlier: A2, A1, A3:
Robust model based motion segmentation,
ICPR02(II: 753-756).
IEEE DOI Link 0211
Model selection; Optic flow; Motion estimation See also Robust Optic Flow Computation. BibRef

Bab-Hadiashar, A.[Alireza], Gheissari, N.[Niloofar],
Range Image Segmentation Using Surface Selection Criterion,
IP(15), No. 7, July 2006, pp. 2006-2018.
IEEE DOI Link 0606
BibRef

Gheissari, N.[Niloofar], Bab-Hadiashar, A.[Alireza],
Motion analysis: Model selection and motion segmentation,
CIAP03(442-448).
IEEE Abstract. IEEE Top Reference. 0310
See also Model Selection for Range Segmentation of Curved Objects. BibRef

Bab-Hadiashar, A.[Alireza],
Range and Motion Segmentation: A Robust Approach,
TRMonash University. 1998.
Postscript Version. BibRef 9800

Bab-Hadiashar, A.[Alireza], Suter, D.[David],
Robust Range Segmentation,
ICPR98(Vol II: 969-971).
IEEE DOI Link 9808
See also Robust Optic Flow Computation. BibRef

Alexiadis, D.S.[Dimitrios S.], Sergiadis, G.D.[George D.],
Estimation of Multiple Accelerated Motions Using Chirp-Fourier Transform and Clustering,
IP(16), No. 1, January 2007, pp. 142-152.
IEEE DOI Link 0701
BibRef

Alexiadis, D.S.[Dimitrios S.], Sergiadis, G.D.[George D.],
Narrow directional steerable filters in motion estimation,
CVIU(110), No. 2, May 2008, pp. 192-211.
WWW Version. 0804
Computer vision; Fourier transform; Motion estimation; Steerable filters BibRef

Alexiadis, D.S.[Dimitrios S.], Sergiadis, G.D.[George D.],
Estimation of Multiple, Time-Varying Motions Using Time-Frequency Representations and Moving-Objects Segmentation,
IP(17), No. 6, June 2008, pp. 982-990.
IEEE DOI Link 0711
BibRef

Alexiadis, D.S.[Dimitrios S.], Sergiadis, G.D.[George D.],
Estimation of Motions in Color Image Sequences Using Hypercomplex Fourier Transforms,
IP(18), No. 1, January 2009, pp. 168-187.
IEEE DOI Link 0812
BibRef

Alexiadis, D.S.[Dimitrios S.], Sergiadis, G.D.[George D.],
Motion estimation, segmentation and separation, using hypercomplex phase correlation, clustering techniques and graph-based optimization,
CVIU(113), No. 2, February 2009, pp. 212-234.
Elsevier DOI Link
WWW Version. 0901
Color video processing; Hypercomplex Fourier transform; Hypercomplex phase correlation; Motion estimation; Quaternions BibRef

Li, H.L.[Hong-Liang], Ngan, K.N.[King Ngi],
Unsupervized Video Segmentation With Low Depth of Field,
CirSysVideo(17), No. 12, December 2007, pp. 1742-1751.
IEEE DOI Link 0712
BibRef
Earlier:
Unsupervised Segmentation of Defocused Video Based on Matting Model,
ICIP06(1825-1828). 0610

IEEE DOI Link BibRef

Feldman, D.[Doron], Weinshall, D.[Daphna],
Motion Segmentation and Depth Ordering Using an Occlusion Detector,
PAMI(30), No. 7, July 2008, pp. 1171-1185.
IEEE DOI Link 0806
BibRef
Earlier:
Motion Segmentation Using an Occlusion Detector,
WDV06(34-47).
Springer DOI Link 0705
BibRef

Ronse, C.[Christian], Agnus, V.[Vincent],
Geodesy on label images, and applications to video sequence processing,
JVCIR(19), No. 6, August 2008, pp. 392-408.
WWW Version. 0804
Label images; Mathematical morphology; Geodesic (conditional) dilation and erosion; Geodesic reconstruction; Non-distributive lattice; Complete lattice; Connectivity BibRef

Agnus, V.[Vincent], Ronse, C.[Christian], Heitz, F.[Fabrice],
Spatio-temporal Segmentation Using 3d Morphological Tools,
ICPR00(Vol III: 877-880).
IEEE DOI Link
HTML Version. 0009
BibRef

Conaire, C.Ó.[Ciarán Ó.], O'Connor, N.E.[Noel E.], Smeaton, A.[Alan],
Thermo-visual feature fusion for object tracking using multiple spatiogram trackers,
MVA(19), No. 5-6, October 2008, pp. xx-yy.
Springer DOI Link 0810
BibRef

Conaire, C.O., O'Connor, N.E., Cooke, E., Smeaton, A.F.,
Multispectral Object Segmentation and Retrieval in Surveillance Video,
ICIP06(2381-2384). 0610

IEEE DOI Link BibRef

Montoliu, R.[Raúl], Pla, F.[Filiberto],
Generalized least squares-based parametric motion estimation,
CVIU(113), No. 7, July 2009, pp. 790-801.
Elsevier DOI Link
WWW Version. 0905
BibRef
Earlier:
Generalized Least Squares-Based Parametric Motion Estimation Under Non-uniform Illumination Changes,
ICIAR08(xx-yy).
Springer DOI Link 0806
BibRef
Earlier:
Multiple Parametric Motion Model Estimation and Segmentation,
ICIP01(II: 933-936).
IEEE Abstract. IEEE Top Reference. 0108
Image Registration; Robust estimation; Outlier detection; Motion estimation; Generalized least squares estimation BibRef

Ryan, K., Amer, A., Gagnon, L.,
Spatiotemporal Region Enhancement and Merging for Unsupervized Object Segmentation,
JIVP(2009), No. 2009, pp. xx-yy.
HTML Version. 0909
Offline video segmentation. Initial color and motion variance, then motion tracking through the sequence. BibRef

Shafik, M.S.E.N.[M. Salah E.N.], Mertsching, B.[Baerbel],
Fast Saliency-Based Motion Segmentation Algorithm for an Active Vision System,
ACIVS08(xx-yy).
Springer DOI Link 0810
BibRef

Gai, K.[Kun], Shi, Z.W.[Zhen-Wei], Zhang, C.S.[Chang-Shui],
Blind separation of superimposed images with unknown motions,
CVPR09(1881-1888).
IEEE DOI Link 0906
BibRef
Earlier:
Blindly separating mixtures of multiple layers with spatial shifts,
CVPR08(1-8).
IEEE DOI Link 0806
BibRef

Yang, W.M.[Wen-Ming], Lu, W.[Wang], Zhang, N.T.[Nai-Tong],
Object Extraction Combining Image Partition with Motion Detection,
ICIP07(III: 337-340).
IEEE DOI Link 0709
BibRef

del-Blanco, C.R.[Carlos R.], Garcia, N.[Narciso], Salgado, L.[Luis], Jaureguizar, F.[Fernando],
Object Tracking from Unstabilized Platforms by Particle Filtering with Embedded Camera Ego Motion,
AVSBS09(400-405).
IEEE DOI Link 0909
BibRef

del-Blanco, C.R.[Carlos R.], Jaureguizar, F.[Fernando], Salgado, L.[Luis], García, N.[Narciso],
Target Detection Through Robust Motion Segmentation and Tracking Restrictions in Aerial FLIR Images,
ICIP07(V: 445-448).
IEEE DOI Link 0709
BibRef
And:
Aerial Moving Target Detection Based on Motion Vector Field Analysis,
ACIVS07(990-1001).
Springer DOI Link 0708
See also Automatic Feature-Based Stabilization of Video with Intentional Motion through a Particle Filter. BibRef

Chen, C.[Cheng], Fan, G.L.[Guo-Liang],
What Can We Learn from Biological Vision Studies for Human Motion Segmentation?,
ISVC06(II: 790-801).
Springer DOI Link 0611
BibRef

Ahmed, R.[Rakib], Karmakar, G.C.[Gour C.], Dooley, L.S.[Laurence S.],
Incorporation of Texture Information for Joint Spatio-Temporal Probabilistic Video Object Segmentation,
ICIP07(VI: 293-296).
IEEE DOI Link 0709
BibRef
Earlier:
Region-Based Shape Incorporation for Probabilistic Spatio-Temporal Video Object Segmentation,
ICIP06(2445-2448). 0610

IEEE DOI Link BibRef

Dorea, C.C., Paraas, M., Marqees, F.,
Generation of Long-Term Color and Motion Coherent Partitions,
ICIP06(581-584). 0610

IEEE DOI Link BibRef

Torsello, A.[Andrea], Pavan, M.[Massimiliano], Pelillo, M.[Marcello],
Spatio-temporal Segmentation Using Dominant Sets,
EMMCVPR05(301-315).
Springer DOI Link 0601
See also Dominant Sets and Pairwise Clustering. BibRef

Schoenemann, T.[Thomas], Cremers, D.[Daniel],
High resolution motion layer decomposition using dual-space graph cuts,
CVPR08(1-7).
IEEE DOI Link 0806
BibRef
Earlier:
Near Real-Time Motion Segmentation Using Graph Cuts,
DAGM06(455-464).
Springer DOI Link 0610
BibRef

Singaraju, D.[Dheeraj], Vidal, R.[René],
Direct Segmentation of Multiple 2-D Motion Models of Different Types,
WDV06(18-33).
Springer DOI Link 0705
BibRef
And:
A Bottom up Algebraic Approach to Motion Segmentation,
ACCV06(I:286-296).
Springer DOI Link 0601
BibRef

Benboudjema, D., Pieczynski, W.,
Segmenting Non Stationary Images with Triplet Markov Fields,
ICIP05(I: 317-320).
IEEE DOI Link 0512
BibRef

Hung, H., Gong, S.,
Quantifying Temporal Saliency,
BMVC04(xx-yy).
HTML Version. 0508
BibRef

Galun, M.[Meirav], Apartsin, A.[Alexander], Basri, R.[Ronen],
Multiscale Segmentation by Combining Motion and Intensity Cues,
CVPR05(I: 256-263).
IEEE DOI Link 0507
BibRef

Xiao, J.J.[Jiang-Jian], Shah, M.[Mubarak],
Accurate Motion Layer Segmentation and Matting,
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IEEE DOI Link 0507
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Saez, E., Benavides, J.L., Guil, N.,
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ICIP04(IV: 2231-2234).
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Besbes, O., Belhadj, Z.,
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Jia, Z.[Zhen], Balasuriya, A.[Arjuna],
Motion Based Image Segmentation with Unsupervised Bayesian Learning,
Motion05(II: 2-7).
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Wang, H., Culverhouse, P.F.,
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BMVC03(xx-yy).
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Majchrzak, D., Sarkar, S.,
Parallelizing motion segmentation by perceptual organization of XYT,
ICPR04(I: 773-776).
IEEE DOI Link 0409
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Park, J.H.[Jin-Hyeong], Zha, H.Y.[Hong-Yuan], Kasturi, R.[Rangachar],
Spectral Clustering for Robust Motion Segmentation,
ECCV04(Vol IV: 390-401).
WWW Version. 0405
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Wang, J.[Jue], Thiesson, B.[Bo], Xu, Y.Q.[Ying-Qing], Cohen, M.[Michael],
Image and Video Segmentation by Anisotropic Kernel Mean Shift,
ECCV04(Vol II: 238-249).
WWW Version. 0405
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Krajsek, K.[Kai], Mester, R.[Rudolf],
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Southwest06(11-15).
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Mester, R.[Rudolf],
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Mester, R.,
The generalization, optimization, and information-theoretic justification of filter-based and autocovariance-based motion estimation,
ICIP03(III: 81-84).
IEEE Abstract. IEEE Top Reference. 0312
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El Saban, M.A., Manjunath, B.S.,
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ICIP03(I: 349-352).
IEEE Abstract. IEEE Top Reference. 0312
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Fu, M.F.[Ming Fai], Au, O., Chan, W.C.[Wing Cheong],
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ICIP03(II: 367-370).
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Silveira, M., Piedade, M.,
MRF-motion Segmentation Based on Dominant Motion Estimation and the Detection of Uncovered Regions,
ICIP01(I: 373-376).
IEEE Abstract. IEEE Top Reference. 0108
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Silveira, M., Piedade, M.,
Joint segmentation and motion estimation,
ICIP98(II: 657-661).
IEEE DOI Link 9810
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Lindh, P., van den Branden Lambrecht, C.[Christian],
Efficient Spatio-Temporal Decomposition for Perceptual Processing of Video Sequences,
ICIP96(III: 331-334).
IEEE DOI Link BibRef 9600

Mills, S., Novins, K.,
Motion Segmentation in Long Image Sequences,
BMVC00(xx-yy).
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Nitsuwat, S., Jin, J.,
Motion-based Video Segmentation Using Fuzzy Clustering and Classical Mixture Model,
ICIP00(Vol I: 300-303).
IEEE Abstract. IEEE Top Reference. 0008
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Sun, H.[Hongzan], Feng, T.[Tao], Tan, T.N.[Tie-Niu],
Spatio-temporal Segmentation for Video Surveillance,
ICPR00(Vol I: 843-846).
IEEE DOI Link
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Sista, S., Kashyap, R.L.,
Unsupervised Video Segmentation and Object Tracking,
ICIP99(26PP6). Not in proceedings. BibRef 9900

Fermüller, C.[Cornelia], Brodsky, T.[Tomas], Aloimonos, Y.[Yiannis],
Motion Segmentation: A Synergistic Approach,
CVPR99(II:226-231a).
IEEE Abstract. IEEE Top Reference.
WWW Version. BibRef 9900

Fermüller, C.[Cornelia], Defoort, F.P.[Filip P.], and Aloimonos, Y.[Yiannis],
Motion Segmentation for a Binocular Observer,
UMD--TR3893, April 1998. Motion segmentation and camera motion estimation solved together for binocular observer. Uses scene smoothness.
WWW Version.
WWW Version. BibRef 9804

Thirde, D.J., Jones, G.A.,
Hierarchical probabilistic models for video object segmentation and tracking,
ICPR04(I: 636-639).
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Thirde, D.J., Jones, G.A., Flack, J.,
Spatio-Temporal Semantic Object Segmentation using Probabilistic Sub-Object Regions,
BMVC03(xx-yy).
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Giaccone, P.R., Jones, G.A.,
Segmentation of Global Motion using Temporal Probabilistic Classification,
BMVC98(xx-yy). BibRef 9800

Kim, W.S.[Won Sup], Lee, S.W.[Seong-Whan], Han, S.K.[Seung Kee], Kook, H.[Hyungtae],
Temporal Segmentation and Selective Attention in the Stochastic Oscillator Neural Network,
ICPR98(Vol I: 259-261).
IEEE DOI Link 9808
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Shi, J.B.[Jian-Bo], and Malik, J.[Jitendra],
Motion Segmentation and Tracking Using Normalized Cuts,
ICCV98(1154-1160).
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Martinez, F.X., Benois-Pineeau, J., Barba, D.,
Extraction of the relative depth information of objects in video sequences,
ICIP98(I: 948-952).
IEEE DOI Link 9810
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Kong, M.[Mingqi], Leduc, J.P., Ghosh, B.K., Wickerhauser, M.V.,
Spatio-temporal continuous wavelet transforms for motion-based segmentation in real image sequences,
ICIP98(II: 662-666).
IEEE DOI Link 9810
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Wilson, R., Meulemans, P., Calway, A.D., Kruger, S.,
Image sequence analysis and segmentation using G-blobs,
ICIP98(II: 483-487).
IEEE DOI Link 9810
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Strens, M., and Boyce, J.,
Constraint Directed Learning for Unsupervised Image Sequence Segmentation,
ICIP97(I: 743-746).
IEEE DOI Link BibRef 9700

Herodotou, N., Venetsanopoulos, A.N.,
Temporal prediction of video sequences using an image warping technique based on color segmentation,
CIAP97(I: 494-501).
WWW Version. 9709
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Li, Y.[Yi], Hatzinakos, D.[Dimitrios], Venetsanopoulos, A.N.[Anastasios N.],
A Multi-Frame, Region-Feature Based Technique for Motion Segmentation,
ICIP99(I:11-15).
IEEE Abstract. IEEE Top Reference. BibRef 9900

Chalom, E.[Edmond], Bove, V.M.[V. Michael],
Segmentation of an Image Sequence Using Multi-Dimensional image attributes,
ICIP96(II: 525-528).
IEEE DOI Link BibRef 9600

Duc, B.[Benoît], Schroeter, P.[Philippe], Bigün, J.[Josef],
Motion Segmentation by Fuzzy Clustering with Automatic Determination of the Number of Motions,
ICPR96(IV: 376-380).
IEEE DOI Link 9608
BibRef
And:
Motion Estimation and Segmentation by Fuzzy Algorithms,
ICIP95(III: 472-475).
IEEE DOI Link 9510
BibRef
And:
Spatio-temporal robust motion estimation and segmentation,
CAIP95(238-245).
Springer DOI Link 9509
(Swiss Federal Inst. of Technology, CH) BibRef

Duc, B.[Benoît],
Motion estimation using invariance under group transformations,
ICPR94(A:159-163).
IEEE DOI Link 9410
BibRef

Konrad, J., Dang, V.N.,
Coding-Oriented Video Segmentation Inspired by MRF Models,
ICIP96(I: 909-912).
IEEE DOI Link BibRef 9600

Cheong, C.K.[Cha Keon], Aizawa, K.[Kiyoharu],
Structural Motion Segmentation Based on Probabilistic Clustering,
ICIP96(I: 505-508).
IEEE DOI Link BibRef 9600

Xu, G.[Gang], Tsuji, S.,
Correspondence and segmentation of multiple rigid motions via epipolar geometry,
ICPR96(I: 213-217).
IEEE DOI Link 0509
BibRef

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Feature Guided Pixel Matching and Segmentation in Motion Image Sequences,
SCV95(277-282).
IEEE Top Reference. University of Illinois at Urbana-Champaign. Multi-grid approach, find pixels through the sequence, segment into different motions. BibRef 9500

Saito, T., Komatsu, T., Akimoto, Y.,
Global motion segmentation for mid-level representation of moving images,
ICIP95(II: 402-405).
IEEE DOI Link 9510
BibRef

Saito, T.[Takahiro], Komatsu, T.[Takashi],
Motion analysis and segmentation for object-oriented mid-level image representation,
CIAP95(663-668).
Springer DOI Link 9509
BibRef

Ben-Ezra, M.[Moshe], Peleg, S.[Shmuel], and Rousso, B.[Benny],
Motion Segmentation Using Convergence Properties,
ARPA94(II:1233-1235). BibRef 9400

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Initial segmentation of a scene using the results of a classification based motion estimator,
ICIP94(I: 559-562).
IEEE DOI Link 9411
BibRef

Yamamoto, M.,
A Segmentation Method Based on Motion from Image Sequence and Depth,
ICPR90(I: 230-232).
IEEE DOI Link BibRef 9000

Sinclair, D.,
Motion Segmentation and Local Structure,
ICCV93(366-373).
IEEE DOI Link Accumulate estimates of the structure from flow normals. BibRef 9300

Sinclair, D., Blake, A.[Andrew], Beardsley, P.A.[Paul A.], Murray, D.[David],
A Novel Approach to Motion Segmentation,
BMVC91(xx-yy).
PDF Version. 9109
BibRef

Gong, S.G.[Shao-Gang], Buxton, H.[Hilary],
From Contextual Knowledge to Computational Constraints,
BMVC93(229-238)
PDF Version. 9309
(QMW, London and Sussex Univ) Was given as: Bayesian Net for Mapping Contextual Knowledge to Computational Constraints in Motion Segmentation and Tracking. BibRef

Gambotto, J.P.,
A region-based spatio-temporal segmentation algorithm,
ICPR92(III:189-192).
IEEE DOI Link 9208
BibRef

Marchant, J.A.,
Accurate Boundary Location from Motion,
BMVC92(xx-yy).
PDF Version. 9209
BibRef

Peleg, S., and Rom, H.,
Motion Based Segmentation,
ICPR90(I: 109-113).
IEEE DOI Link BibRef 9000

Ariki, Y., Kanade, T., Sakai, T.,
An Interactive Image Modeling and Tracing System for Moving Pictures,
ICPR78(681-685). BibRef 7800

Chapter on Motion Analysis --Low-Level, Image Level Analysis, Mosaic Generation, Super Resolution, Shape from Motion continues in
Motion Detection, Analysis of Motion Detectors .