18.3.2 Image Segmentation from Motion Information

Potter, J.L.,
Scene Segmentation Using Motion Information,
CGIP(6), December 1977, pp. 558-581. 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. 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.
WWW Version. 9710Build 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).
WWW Version. 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).
WWW Version. 9411Dept. 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).
WWW Version.
HTML Version. 0009 BibRef

Kim, J.[Jinsang], Chen, T.[Tom],
Multiple feature clustering for image sequence segmentation,
PRL(22), No. 11, September 2001, pp. 1207-1217.
HTML Version. 0108 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. 0608Dynamic 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).
WWW Version. 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).
WWW Version. 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.
WWW Version. 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).
WWW Version.
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. 0311Genetic 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.
WWW Version. 0501 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.[Alan],
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).
WWW Version. 0106 BibRef
Earlier:
Fast and Accurate Motion Estimation Using Orientation Tensors and Parametric Motion Models,
ICPR00(Vol I: 135-139).
WWW Version.
HTML Version. 0009 BibRef

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

Fan, Z.[Zhimin], 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.
WWW Version. 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. 0604Scene 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).
WWW Version. 9208 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).
WWW Version. 0211Model 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.
WWW Version. 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

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.
WWW Version. 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. 0804Computer vision; Fourier transform; Motion estimation; Steerable filters 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.
WWW Version. 0712 BibRef
Earlier:
Unsupervised Segmentation of Defocused Video Based on Matting Model,
ICIP06(1825-1828). 0610
WWW Version. BibRef

Feldman, D.[Doron], Weinshall, D.[Daphna],
Motion Segmentation Using an Occlusion Detector,
WDV06(34-47).
WWW Version. 0705 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).
WWW Version. 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).
WWW Version. 0709 BibRef
Earlier:
Region-Based Shape Incorporation for Probabilistic Spatio-Temporal Video Object Segmentation,
ICIP06(2445-2448). 0610
WWW Version. 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
WWW Version. BibRef

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

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

Schoenemann, T.[Thomas], Cremers, D.[Daniel],
Near Real-Time Motion Segmentation Using Graph Cuts,
DAGM06(455-464).
WWW Version. 0610 BibRef

Coudray, R.[Renan], Besserer, B.[Bernard],
Motion Based Segmentation Using MPEG Streams and Watershed Method,
ISVC05(729-736).
WWW Version. 0512 BibRef

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

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

Zhao, L.[Liang], Davis, L.S.,
Segmentation and Appearance Model Building from an Image Sequence,
ICIP05(I: 321-324).
WWW Version. 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).
WWW Version. 0507 BibRef

Xiao, J.J.[Jiang-Jian], Shah, M.[Mubarak],
Accurate Motion Layer Segmentation and Matting,
CVPR05(II: 698-703).
WWW Version. 0507 BibRef

Doulaverakis, C., Vagionitis, S., Zervakis, M.E.[Michalis E.], Petrakis, E.G.M.[Euripides G. M.],
Adaptive Methods for Motion Characterization and Segmentation of MPEG Compressed Frame Sequences,
ICIAR04(I: 310-317).
WWW Version. 0409 BibRef

Saez, E., Benavides, J.L., Guil, N.,
Combining luminance and edge based metrics for robust temporal video segmentation,
ICIP04(IV: 2231-2234).
WWW Version. 0505 BibRef

Farmer, M.E., Lu, X.G.[Xiao-Guang], Chen, H.[Hong], Jain, A.K.[Anil K.],
Robust motion-based image segmentation using fusion,
ICIP04(V: 3375-3378).
WWW Version. 0505 BibRef

Besbes, O., Belhadj, Z.,
Multiple motion segmentation with level sets without prior information,
ICIP04(I: 369-372).
WWW Version. 0505 BibRef

Jia, Z.[Zhen], Balasuriya, A.[Arjuna],
Motion Based Image Segmentation with Unsupervised Bayesian Learning,
Motion05(II: 2-7).
WWW Version. 0502 BibRef

Wang, H., Culverhouse, P.F.,
Robust Motion Segmentation by Spectral Clustering,
BMVC03(xx-yy).
HTML Version. 0409 BibRef

Majchrzak, D., Sarkar, S.,
Parallelizing motion segmentation by perceptual organization of XYT,
ICPR04(I: 773-776).
WWW Version. 0409 BibRef

Park, J.[JinHyeong], Zha, H.Y.[Hong-Yuan], Kasturi, R.[Rangachar],
Spectral Clustering for Robust Motion Segmentation,
ECCV04(Vol IV: 390-401).
WWW Version. 0405 BibRef

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 BibRef

Krajsek, K.[Kai], Mester, R.[Rudolf],
On the equivalence of variational and statistical differential motion estimation,
Southwest06(11-15).
WWW Version. 0603 BibRef

Mester, R.[Rudolf],
A New View at Differential and Tensor-Based Motion Estimation Schemes,
DAGM03(321-329).
HTML Version. 0310 BibRef

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 BibRef

El Saban, M.A., Manjunath, B.S.,
Video region segmentation by spatio-temporal watersheds,
ICIP03(I: 349-352).
IEEE Abstract. IEEE Top Reference. 0312 BibRef

Fu, M.F.[Ming Fai], Au, O., Chan, W.C.[Wing Cheong],
Fast global motion estimation based on local motion segmentation,
ICIP03(II: 367-370).
IEEE Abstract. IEEE Top Reference. 0312 BibRef

Montoliu, R., Pla, F.,
Multiple Parametric Motion Model Estimation and Segmentation,
ICIP01(II: 933-936).
IEEE Abstract. IEEE Top Reference. 0108 BibRef

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 BibRef

Silveira, M., Piedade, M.,
Joint segmentation and motion estimation,
ICIP98(II: 657-661).
WWW Version. 9810 BibRef

Kanatani, K.[Kenichi],
Evaluation and Selection of Models for Motion Segmentation,
ECCV02(III: 335 ff.).
HTML Version. 0205 BibRef

Kanatani, K.[Kenichi],
Motion Segmentation by Subspace Separation and Model Selection,
ICCV01(II: 586-591).
WWW Version. 0106Reformulate Costeira-Kanade without factorization to get motion segmentation. See also Multibody Factorization Method for Independently Moving-Objects, A. BibRef

Lindh, P., van den Branden Lambrecht, C.[Christian],
Efficient Spatio-Temporal Decomposition for Perceptual Processing of Video Sequences,
ICIP96(III: 331-334).
WWW Version. BibRef 9600

Kim, J.[Jinsang], Chen, T.[Tom],
Segmentation of Image Sequences Using SOFM Networks,
ICPR00(Vol III: 869-872).
WWW Version.
HTML Version. 0009 BibRef

Vincent, A.[Agnus], Christian, R.[Ronse], Fabrice, H.[Heitz],
Spatio-temporal Segmentation Using 3d Morphological Tools,
ICPR00(Vol III: 877-880).
WWW Version.
HTML Version. 0009 BibRef

Mills, S., Novins, K.,
Motion Segmentation in Long Image Sequences,
BMVC00(xx-yy).
PDF Version. 0009 BibRef

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 BibRef

Sun, H.[Hongzan], Feng, T.[Tao], Tan, T.N.[Tie-Niu],
Spatio-temporal Segmentation for Video Surveillance,
ICPR00(Vol I: 843-846).
WWW Version.
HTML Version. 0009 BibRef

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).
WWW Version. 0409 BibRef

Thirde, D.J., Jones, G.A., Flack, J.,
Spatio-Temporal Semantic Object Segmentation using Probabilistic Sub-Object Regions,
BMVC03(xx-yy).
HTML Version. 0409 BibRef

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).
WWW Version. 9808 BibRef

Shi, J.B.[Jian-Bo], and Malik, J.[Jitendra],
Motion Segmentation and Tracking Using Normalized Cuts,
ICCV98(1154-1160).
WWW Version. See also Normalized Cuts and Image Segmentation. BibRef 9800

Martinez, F.X., Benois-Pineeau, J., Barba, D.,
Extraction of the relative depth information of objects in video sequences,
ICIP98(I: 948-952).
WWW Version. 9810 BibRef

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).
WWW Version. 9810 BibRef

Wilson, R., Meulemans, P., Calway, A., Kruger, S.,
Image sequence analysis and segmentation using G-blobs,
ICIP98(II: 483-487).
WWW Version. 9810 BibRef

Morier, F., Benois, J., Barba, D., and Sanson, H.,
Robust Segmentation of Moving Image Sequences,
ICIP97(I: 719-722).
WWW Version. BibRef 9700

Strens, M., and Boyce, J.,
Constraint Directed Learning for Unsupervised Image Sequence Segmentation,
ICIP97(I: 743-746).
WWW Version. 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 BibRef

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).
WWW Version. 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).
WWW Version. 9608 BibRef
And:
Motion Estimation and Segmentation by Fuzzy Algorithms,
ICIP95(III: 472-475).
WWW Version. 9510 BibRef
And:
Spatio-temporal robust motion estimation and segmentation,
CAIP95(238-245).
WWW Version. 9509(Swiss Federal Inst. of Technology, CH) BibRef

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

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

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

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

Charan, R., Ahuja, N.,
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).
WWW Version. 9510 BibRef

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

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

Desmet, S., Deknuydt, B., van Eycken, L.[Luc], Oosterlinck, A.,
Initial segmentation of a scene using the results of a classification based motion estimator,
ICIP94(I: 559-562).
WWW Version. 9411 BibRef

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

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

Gong, S.G.[Shao-Gang], Buxton, H.[Hilary],
Bayesian Net for Mapping Contextual Knowledge to Computational Constraints in Motion Segmentation and Tracking,
BMVC93(229-238) (QMW, London and Sussex Univ) BibRef 9300

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

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 .