18.3.4.2 Moving Object Extraction, Using Models or Analysis of Regions

Diehl, N.[Norbert],
Object-oriented motion estimation and segmentation in image sequences,
SP:IC(3), No. 1, February 1991, pp. 23-56.
WWW Version. 0001
Model-based image analysis; motion estimation; image sequence analysis; image segmentation BibRef

Echigo, T.[Tomio],
Apparatus and method for detecting a velocity of a moving object,
US_Patent5,771,485, 06/23/1998.
HTML Version. BibRef 9806

Steinbach, E.G., Eisert, P., Girod, B.,
Motion Based Analysis and Segmentation of Image Sequences Using 3-D Scene Models,
SP(66), No. 2, April 1998, pp. 233-247. 9807
BibRef

Steinbach, E.G., Eisert, P., Girod, B.,
Model-Based 3-D Shape and Motion Estimation Using Sliding Textures,
VMV01(xx-yy).
PDF Version. 0209
BibRef

Steinbach, E.G., Chaudhuri, S., and Girod, B.,
Data-Driven Multi-Frame 3D Motion Estimation,
ICIP97(I: 464-467).
IEEE DOI Link BibRef 9700

Steinbach, E.G.[Eckehard G.], Hanjalic, A., Girod, B.,
3D Motion and Scene Structure Estimation with Motion Dependent Distortion of Measurement Windows,
ICIP96(I: 61-64).
IEEE DOI Link BibRef 9600

Steinbach, E.G., Girod, B.,
Estimation of Rigid Body Motion and Scene Structure from Image Sequences Using a Novel Epipolar Transform,
ICASSP96(XX) Telecommunications Institute. Univ. of Erlangen-Nuremberg. BibRef 9600

Moscheni, F.[Fabrice], Bhattacharjee, S.[Sushil], Kunt, M.[Murat],
Spatiotemporal Segmentation Based on Region Merging,
PAMI(20), No. 9, September 1998, pp. 897-915.
IEEE Abstract. IEEE Top Reference.
WWW Version. 9809
Region Growing. Oversegment the first of a pair of frames. Iteratively merge based on spatio-temporal similarity. BibRef

Moscheni, F.[Fabrice], Bhattacharjee, S.,
Robust Region Merging for Spatio-Temporal Segmentation,
ICIP96(I: 501-504).
IEEE DOI Link BibRef 9600

DuFaux, F., Moscheni, F., Lippman, A.,
Spatio-temporal segmentation based on motion and static segmentation,
ICIP95(I: 306-309).
IEEE DOI Link 9510
BibRef

Maki, A.[Atsuto], Nordlund, P.[Peter], Eklundh, J.O.[Jan-Olof],
Attentional Scene Segmentation: Integrating Depth and Motion,
CVIU(78), No. 3, June 2000, pp. 351-373. 0006

WWW Version. BibRef
Earlier: A1, A3, A2:
A Computational Model of Depth-Based Attention,
ICPR96(IV: 734-739).
IEEE DOI Link 9608
(Royal Institute of Technology, S) BibRef

Maki, A.[Atsuto],
Photometric subspace for multibody motion segmentation,
IVC(22), No. 8, August 2004, pp. 655-662.
WWW Version. 0405
BibRef

Maki, A., Hattori, H.,
Illumination Subspace for Multibody Motion Segmentation,
CVPR01(II:11-17).
IEEE Abstract. IEEE Top Reference. 0110
BibRef

Kim, M.C.[Mun-Churl], Jeon, J.G., Kwak, J.S., Lee, M.H., Ahn, C.,
Moving object segmentation in video sequences by user interaction and automatic object tracking,
IVC(19), No. 5, 1 April 2001, pp. 245-260.
WWW Version. 0102
BibRef

Choi, J.G.[Jae Gark], Lee, M.H.[Myoung Ho], Kwak, J.S.[Jin Suk], Kim, M.C.[Mun-Churl], Ahn, C.[Chieteuk],
Method for objects segmentation in video sequences by object tracking and user assistance,
US_Patent6,707,851, Mar 16, 2004
WWW Version. BibRef 0403

Kim, M.C.[Mun-Churl], Choi, J.G.[Jae Gark], Kim, D.[Daehee], Lee, H.[Hyung], Lee, M.H.[Myoung Ho], Ahn, C.[Chieteuk], Ho, Y.S.[Yo-Sung],
A VOP generation tool: automatic segmentation of moving objects in image sequences based on spatio-temporal information,
CirSysVideo(9), No. 8, December 1999, pp. 1216-1226.
IEEE Abstract. IEEE Top Reference. 0410
BibRef

Gear, C.W.,
Multibody Grouping from Motion Images,
IJCV(29), No. 2, August-September 1998, pp. 133-150.
WWW Version. 0010
BibRef

Herrmann, S., Mooshofer, H., Dietrich, H., Stechele, W.,
A video segmentation algorithm for hierarchical object representations and its implementation,
CirSysVideo(9), No. 8, December 1999, pp. 1204-1215.
IEEE Abstract. IEEE Top Reference. 0410
BibRef

Yemez, Y., Sankur, B., Anarim, E.[Emin],
A quadratic motion-based object-oriented video codec,
SP:IC(15), No. 9, July 2000, pp. 729-766.
WWW Version. 0008
BibRef
Earlier:
An Object-Oriented Video Codec Based on Region Growing Motion Segmentation,
ICIP97(III: 444-447).
IEEE DOI Link BibRef
Earlier:
Region Growing Motion Segmentation and Estimation in Object-Oriented Video Coding,
ICIP96(II: 521-524).
IEEE DOI Link BibRef

Grant, M.G.[Michael G.], Nixon, M.S.[Mark S.], Lewis, P.H.[Paul H.],
Extracting moving shapes by evidence gathering,
PR(35), No. 5, May 2002, pp. 1099-1114.
WWW Version. 0202
BibRef
Earlier:
Parameterised Moving Shape Extraction,
BMVC00(xx-yy).
PDF Version. 0009
BibRef
Earlier:
Finding Moving Shapes by Continuous-Model Evidence Gathering,
BMVC99(Movement and Tracking).
PDF Version. 9909
BibRef

Kim, J.B.[Jong Bae], Kim, H.J.[Hang Joon],
Efficient region-based motion segmentation for a video monitoring system,
PRL(24), No. 1-3, January 2003, pp. 113-128.
HTML Version. 0211
BibRef

Kim, J.B.[Jong Bae], Kim, H.J.[Hang Joon],
Region removal and restoration using a genetic algorithm with isophote constraint,
PRL(24), No. 9-10, June 2003, pp. 1303-1316.
WWW Version. 0304
BibRef

Correia, P.L., Pereira, F.,
Classification of video segmentation application scenarios,
CirSysVideo(14), No. 5, May 2004, pp. 735-741.
IEEE Abstract. IEEE Top Reference. 0407
Choose the right video segmentation for the application. Different ones have different advantages. BibRef

Matsumura, S.[Shigeru],
Boundary line detecting method and apparatus, image processing method and apparatus, non-boundary line detecting method and apparatus,
US_Patent6,724,938, Apr 20, 2004
WWW Version. BibRef 0404

Chen, L.H.[Liang-Hua], Lai, Y.C.[Yu-Chun], Su, C.W.[Chih-Wen], Liao, H.Y.M.[Hong-Yuan Mark],
Extraction of video object with complex motion,
PRL(25), No. 11, August 2004, pp. 1285-1291.
WWW Version. 0409
BibRef

Ogale, A.S., Fermuller, C., Aloimonos, Y.,
Motion segmentation using occlusions,
PAMI(27), No. 6, June 2005, pp. 988-992.
IEEE Abstract. IEEE Top Reference. Or:
PDF Version. 0506
BibRef

Aucsmith, D.W.[David W.], Romrell, D.A.[David A.],
Segmenting three-dimensional video images using stereo,
US_Patent6,873,723, Mar 29, 2005
WWW Version. BibRef 0503
And: US_Patent7,054,479, May 30, 2006
WWW Version. BibRef

Sheikh, Y.[Yaser], Shah, M.[Mubarak],
Bayesian Modeling of Dynamic Scenes for Object Detection,
PAMI(27), No. 11, November 2005, pp. 1778-1792.
IEEE DOI Link 0510
BibRef
Earlier:
Bayesian Object Detection in Dynamic Scenes,
CVPR05(I: 74-79).
IEEE DOI Link 0507
Object detection after optical flow. Non repeating patterns. Explicit model of the foreground. BibRef

Shi, F.H.[Fan-Huai], Wang, J.H.[Jian-Hua], Zhang, J.[Jing], Liu, Y.C.[Yun-Cai],
Motion Segmentation of Multiple Translating Objects Using Line Correspondences,
PR(38), No. 10, October 2005, pp. 1775-1778.
WWW Version. 0508
BibRef
Earlier: CVPR05(I: 315-320).
IEEE DOI Link 0507
BibRef

Zhang, J.[Jing], Shi, F.H.[Fan-Huai], Liu, Y.C.[Yun-Cai],
Motion Segmentation by Multibody Trifocal Tensor Using Line Correspondence,
ICPR06(I: 599-602).
WWW Version. 0609
BibRef

Lublinerman, R.[Roberto], Sznaier, M.[Mario], Camps, O.I.[Octavia I.],
Dynamics Based Robust Motion Segmentation,
CVPR06(I: 1176-1184).
IEEE DOI Link 0606
BibRef

Hagihara, Y.[Yoshinobu], Amemiya, H.[Hirokazu], Yamamitsu, T.[Tadashi],
Method of detecting and measuring a moving object and apparatus therefor, and a recording medium for recording a program for detecting and measuring a moving object,
US_Patent6,963,658, Nov 8, 2005
WWW Version. BibRef 0511
And: US_Patent7,308,113, Dec 11, 2007
WWW Version. BibRef

Kamijo, S.[Shunsuke], Sakauchi, M.[Masao],
Method and apparatus for tracking moving objects in spatial differential frame pictures,
US_Patent7,149,328, Dec 12, 2006
WWW Version. BibRef 0612

Sekkati, H., Mitiche, A.,
Concurrent 3-D Motion Segmentation and 3-D Interpretation of Temporal Sequences of Monocular Images,
IP(15), No. 3, March 2006, pp. 641-653.
IEEE DOI Link 0604
BibRef
Earlier:
Joint dense 3D interpretation and multiple motion segmentation of temporal image sequences: a variational framework with active curve evolution and level sets,
ICIP04(I: 553-556).
IEEE DOI Link 0505
BibRef
Earlier:
Dense 3D interpretation of image sequences: A variational approach using anisotropic diffusion,
CIAP03(424-429).
IEEE Abstract. IEEE Top Reference. 0310
BibRef

Sekkati, H., Mitiche, A.,
Joint optical flow estimation, segmentation, and 3D interpretation with level sets,
CVIU(103), No. 2, August 2006, pp. 89-100.
WWW Version. 0608
3D structure; 3D motion; Segmentation; Optical flow; Variational method; Level sets BibRef

Mitiche, A., Sekkati, H.,
Optical Flow 3D Segmentation and Interpretation: A Variational Method with Active Curve Evolution and Level Sets,
PAMI(28), No. 11, November 2006, pp. 1818-1829.
IEEE DOI Link 0609
Active contour model for dense 3-D segmentation and optical flow. Scene of moving rigid objects. BibRef

Mansouri, A.R., Mitiche, A., El-Feghali, R.,
Spatio-temporal motion segmentation via level set partial differential equation,
Southwest02(243-247).
IEEE Top Reference. 0208
BibRef

Mansouri, A.R., Chomaud, T., Konrad, J.,
A Comparative Evaluation of Algorithms for Fast Computation of Level Set PDEs with Applications to Motion Segmentation,
ICIP01(III: 636-639).
IEEE Abstract. IEEE Top Reference. 0108
See also Region Tracking via Level Set PDEs without Motion Computation. BibRef

Mansouri, A.R., Mitiche, A., Langevin, C.,
Joint Space-Time Motion-Based Segmentation of Image Sequences with Level Set PDES,
Motion02(50-55).
IEEE Abstract. IEEE Top Reference. 0303
BibRef

Jain, V.[Vishal], Kimia, B.B.[Benjamin B.], Mundy, J.L.[Joseph L.],
Segregation of Moving Objects Using Elastic Matching,
CVIU(108), No. 3, December 2007, pp. 230-242.
WWW Version. 0711
BibRef
Earlier: SCVMA04(76-90).
Springer DOI Link 0405
BibRef
And:
Background Modeling Based on Subpixel Edges,
ICIP07(VI: 321-324).
IEEE DOI Link 0709
Curves; Elastic curve matching; IHS color space; Tracking; Vehicle; Similarity transform; Fragmentation BibRef

Prakash, S.[Surya], Abhilash, R., Das, S.[Sukhendu],
SnakeCut: An Integrated Approach Based on Active Contour and GrabCut for Automatic Foreground Object Segmentation,
ELCVIA(6), No. 3, December 2007, pp. 13-29.
WWW Version. 0801
BibRef

Prakash, S.[Surya], Das, S.[Sukhendu],
Segmenting Multiple Textured Objects Using Geodesic Active Contour and DWT,
PReMI07(111-118).
Springer DOI Link 0712
BibRef

Drouin, S.[Stéphane], Hébert, P.[Patrick], Parizeau, M.[Marc],
Incremental Discovery of Object Parts in Video Sequences,
CVIU(110), No. 1, April 2008, pp. 60-74.
WWW Version. 0711
BibRef
Earlier: ICCV05(II: 1754-1761).
IEEE DOI Link 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], Adachi, H.[Hidekazu], Kiriyama, O.[Osamu], Koide, T.[Tetsushi], Mattausch, H.J.[Hans Jürgen],
Boundary-Active-Only Adaptive Power-Reduction Scheme for Region-Growing Video-Segmentation,
IEICE(E89-D), No. 3, March 2006, pp. 1299-1302.
WWW Version. 0603
BibRef

Feldmann, T.[Tobias], Dießelberg, L.[Lars], Wörner, A.[Annika],
Adaptive Foreground/Background Segmentation Using Multiview Silhouette Fusion,
DAGM09(522-531).
Springer DOI Link 0909
Integrating 3d scene information. BibRef

Yin, F.[Fei], Makris, D.[Dimitrios], Velastin, S.A.[Sergio A.],
Real-time ghost removal for foreground segmentation methods,
VS08(xx-yy). 0810
BibRef

Cheriyadat, A.M.[Anil M.], Bhaduri, B.L.[Budhendra L.], Radke, R.J.[Richard J.],
Detecting multiple moving objects in crowded environments with coherent motion regions,
Tensor08(1-8).
IEEE DOI Link 0806
BibRef

Parvizi, E.[Ehsan], Wu, Q.M.J.[Q.M. Jonathan],
Multiple Object Tracking Based on Adaptive Depth Segmentation,
CRV08(273-277).
IEEE DOI Link 0805
BibRef

Li, L.Y.[Li-Yuan], Yu, X.G.[Xin-Guo], Huang, W.M.[Wei-Min],
Scene Context Modeling for Foreground Detection from a Scene in Remote Monitoring,
ISVC07(II: 128-139).
Springer DOI Link 0711
BibRef

Jiang, M., Crookes, D.,
Video Object Motion Segmentation for Intelligent Visual Surveillance,
IMVIP07(202-202).
IEEE DOI Link 0709
BibRef

Yang, W.X.[Wen-Xian], Ngan, K.N.[King Ngi],
Unsupervised Multiple Object Segmentation of Multiview Images,
ACIVS07(178-189).
Springer DOI Link 0708
Color, depth, motion. BibRef

Ranchin, F.[Florent], Chambolle, A.[Antonin], Dibos, F.[Françoise],
Total Variation Minimization and Graph Cuts for Moving Objects Segmentation,
SSVM07(743-753).
Springer DOI Link 0705
See also Algorithm for Total Variation Minimization and Applications, An. BibRef

Mateus, D., Horaud, R.[Radu],
Spectral Methods for 3-D Motion Segmentation of Sparse Scene-Flow,
Motion07(14-14).
IEEE DOI Link 0702
BibRef

Hsieh, J.W.[Jun-Wei], Lee, J.X.[Jun-Xian],
Video Object Segmentation Using Kernel-based Models and Spatiotemporal Similarity,
ICIP06(1821-1824). 0610

IEEE DOI Link BibRef

Wan, M.[Meng], Herve, J.Y.[Jean-Yves],
Adaptive, Region-based, Layered Background Model for Target Tracking,
ICPR06(I: 803-807).
WWW Version. 0609
BibRef

Perera, A.G.A.[A. G. Amitha], Brooksby, G.[Glen], Hoogs, A.J.[Anthony J.], Doretto, G.[Gianfranco],
Moving Object Segmentation using Scene Understanding,
PercOrg06(201).
IEEE DOI Link 0609
BibRef

Yin, Z.Z.[Zhao-Zheng], Collins, R.[Robert],
Moving Object Localization in Thermal Imagery by Forward-backward MHI,
OTCBVS06(133).
IEEE DOI Link 0609
BibRef

Zhang, Y.[Yan], Kiselewich, S.J.[Stephen J.], Bauson, W.A.[William A.], Hammoud, R.I.[Riad I.],
Robust Moving Object Detection at Distance in the Visible Spectrum and Beyond Using A Moving Camera,
OTCBVS06(131).
IEEE DOI Link 0609
BibRef

Onoguchi, K.[Kazunori],
Moving Object Detection Using a Cross Correlation between a Short Accumulated Histogram and a Long Accumulated Histogram,
ICPR06(IV: 896-899).
WWW Version. 0609
BibRef

Boccignone, G.[Giuseppe], Marcelli, A.[Angelo], Napoletano, P.[Paolo], Ferraro, M.[Mario],
Motion Estimation via Belief Propagation,
CIAP07(55-60).
IEEE DOI Link 0709
BibRef
Earlier: A1, A2, A3, Only:
Inference of moving forms via Belief Propagation,
ICPR06(II: 191-194).
WWW Version. 0609
BibRef

Kobayashi, T.[Takumi], Yoshikawa, F.[Fumito], Otsu, N.[Nobuyuki],
Motion image segmentation using global criteria and DP,
FG08(1-6).
IEEE DOI Link 0809
BibRef

Ito, S.[Satoshi], Otsu, N.[Nobuyuki],
Detection and Recognition of Moving Objects by Using Motion Invariants,
ICPR06(I: 683-686).
WWW Version. 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 Link 0509
BibRef

Yokoyama, M., Poggio, T.,
A Contour-Based Moving Object Detection and Tracking,
PETS05(271-276).
IEEE DOI Link 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 Link 0602
BibRef

Evans, M., Ferryman, J.M.,
Group stochastic search for object detection and tracking,
AVSBS05(153-158).
IEEE DOI Link 0602
BibRef

Haseyama, M., Yokoyama, Y.,
Moving Object Extraction Using a Shape-Constraint-Based Splitting Active Contour Model,
ICIP05(III: 1260-1263).
IEEE DOI Link 0512
BibRef

Schindler, K.,
Spatially Consistent 3D Motion Segmentation,
ICIP05(III: 409-412).
IEEE DOI Link 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 Link 0509
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 Link 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 Link 0507
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 Link 0507
BibRef

Barbu, A., Yuille, A.L.,
Motion Estimation by Swendsen-Wang Cuts,
CVPR04(I: 754-761).
IEEE Abstract. IEEE Top Reference. 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).
WWW Version. 0505
BibRef

Huart, J., Foret, G., Bertolino, P.,
Moving object extraction with a localized pyramid,
ICPR04(IV: 783-786).
IEEE DOI Link 0409
BibRef

Foret, G., Bertolino, P., Cibaud, D.,
Partition projection in videos by global and local block-matching,
ICIP02(III: 409-412).
IEEE Abstract. IEEE Top Reference. 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 Link 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 Link 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 Link 0106
BibRef

Wills, J., Agarwal, S., Belongie, S.,
What went where,
CVPR03(I: 37-44).
IEEE Abstract. IEEE Top Reference. 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 Abstract. IEEE Top Reference. 0210
BibRef

Khan, S.[Sohaib], Shah, M.[Mubarak],
Object Based Segmentation of Video Using Color, Motion and Spatial Information,
CVPR01(II:746-751).
IEEE Abstract. IEEE Top Reference. 0110
Combine color and motion. BibRef

Ke, Q.[Qifa], Kanade, T.,
A Subspace Approach to Layer Extraction,
CVPR01(I:255-262).
IEEE Abstract. IEEE Top Reference. 0110
Motion segmentation with multiple motions. First color segmentation into planar patches, then motion of the patch. BibRef

Inoue, K.[Kohei], Urahama, K.[Kiichi],
Separation of Multiple Objects in Motion Images by Clustering,
ICCV01(I: 219-224).
IEEE DOI Link 0106
BibRef

Schödl, A., Essa, I.A.,
Depth Layers from Occlusions,
CVPR01(I:639-644).
IEEE Abstract. IEEE Top Reference. 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 Abstract. IEEE Top Reference. 0108
BibRef

Ichimura, N.[Naoyuki],
Motion Segmentation Using Feature Selection and Subspace Method Based on Shape Space,
ICPR00(Vol III: 850-856).
IEEE DOI Link
HTML Version. 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 Abstract. IEEE Top Reference.
WWW Version. 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 Abstract. IEEE Top Reference. 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 Abstract. IEEE Top Reference. 0008
BibRef
And:
Semi-Automatic Semantic Video Object Extraction by Active Contour Model,
ICME00(TA2). 0007
BibRef

Hu, Z.[Zhencheng], Uchimura, K.,
Moving Objects Detection from Time-Varied Background: An Application of Camera 3D Motion Analysis,
3DIM99(59-67).
IEEE DOI Link 9910
BibRef

Feng, X.L.[Xiao-Lin], Perona, P.[Pietro],
Scene Segmentation from 3D Motion,
CVPR98(225-231).
IEEE Abstract. IEEE Top Reference. 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 .