18.3.4.8 Moving Object Extraction, Using Models or Analysis of Regions

Chapter Contents (Back)
Background. Motion, Detection. Motion Segmentation. Generally, one main moving region or object.

Diehl, N.[Norbert],
Object-oriented motion estimation and segmentation in image sequences,
SP:IC(3), No. 1, February 1991, pp. 23-56.
WWW Link. 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 File. 0209
BibRef

Steinbach, E.G., Chaudhuri, S., and Girod, B.,
Data-Driven Multi-Frame 3D Motion Estimation,
ICIP97(I: 464-467).
IEEE DOI 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 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 DOI 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 BibRef 9600

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

Gelgon, M.[Marc], Bouthemy, P.[Patrick],
A Region-Level Motion-Based Graph Representation and Labeling for Tracking a Spatial Image Partition,
PR(33), No. 4, April 2000, pp. 725-740.
WWW Link. 0002
BibRef
Earlier:
A Region-Level Graph Labeling Approach to Motion-Based Segmentation,
CVPR97(514-519).
IEEE DOI 9704
MRF texture for regions, grouped by motion. BibRef

Fablet, R.[Ronan], Bouthemy, P.[Patrick], Gelgon, M.[Marc],
Moving Object Detection in Color Image Sequences using Region-Level Graph Labeling,
ICIP99(II:939-943).
IEEE DOI BibRef 9900

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.
DOI Link 0006
BibRef
Earlier: A1, A3, A2:
A Computational Model of Depth-Based Attention,
ICPR96(IV: 734-739).
IEEE DOI 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 Link. 0405
BibRef

Maki, A., Hattori, H.,
Illumination Subspace for Multibody Motion Segmentation,
CVPR01(II:11-17).
IEEE DOI 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 Link. 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 Link. 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. 0410
BibRef

Gear, C.W.,
Multibody Grouping from Motion Images,
IJCV(29), No. 2, August-September 1998, pp. 133-150.
DOI Link 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. 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 Link. 0008
BibRef
Earlier:
An Object-Oriented Video Codec Based on Region Growing Motion Segmentation,
ICIP97(III: 444-447).
IEEE DOI BibRef
Earlier:
Region Growing Motion Segmentation and Estimation in Object-Oriented Video Coding,
ICIP96(II: 521-524).
IEEE DOI 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 Link. 0202
BibRef
Earlier:
Parameterised Moving Shape Extraction,
BMVC00(xx-yy).
PDF File. 0009
BibRef
Earlier:
Finding Moving Shapes by Continuous-Model Evidence Gathering,
BMVC99(Movement and Tracking).
PDF File. 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.
Elsevier DOI 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 Link. 0304
BibRef

Correia, P.L., Pereira, F.,
Classification of video segmentation application scenarios,
CirSysVideo(14), No. 5, May 2004, pp. 735-741.
IEEE Abstract. 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 Link. 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 Link. 0409
BibRef

Ogale, A.S., Fermuller, C., Aloimonos, Y.,
Motion segmentation using occlusions,
PAMI(27), No. 6, June 2005, pp. 988-992.
IEEE Abstract. Or:
PDF File. 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 Link. BibRef 0503
And: US_Patent7,054,479, May 30, 2006
WWW Link. 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 0510
BibRef
Earlier:
Bayesian Object Detection in Dynamic Scenes,
CVPR05(I: 74-79).
IEEE DOI 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 Link. 0508
BibRef
Earlier: CVPR05(I: 315-320).
IEEE DOI 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).
IEEE DOI 0609
BibRef

Lublinerman, R.[Roberto], Sznaier, M.[Mario], Camps, O.I.[Octavia I.],
Dynamics Based Robust Motion Segmentation,
CVPR06(I: 1176-1184).
IEEE DOI 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 Link. BibRef 0511
And: US_Patent7,308,113, Dec 11, 2007
WWW Link. 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 Link. 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 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 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 level sets,
CVIU(103), No. 2, August 2006, pp. 89-100.
WWW Link. 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 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. 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 DOI 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. 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 Link. 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 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 Link. 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], 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.
DOI Link 0603
BibRef

Guo, J.M.[Jing-Ming], Liu, Y.F., Hsia, C.H., Shih, M.H., Hsu, C.S.[Chih-Sheng],
Hierarchical Method for Foreground Detection Using Codebook Model,
CirSysVideo(21), No. 6, June 2011, pp. 804-815.
IEEE DOI 1101
BibRef
Earlier: A1, A5, Only: ICIP10(3441-3444).
IEEE DOI 1009
BibRef

Tang, Z.[Zhen], Miao, Z.J.[Zhen-Jiang], Wan, Y.L.[Yan-Li], Jesse, F.F.[Forrest F.],
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], Li, J.[Jia],
Automatic foreground extraction for images and videos,
ICIP10(2993-2996).
IEEE DOI 1009
BibRef

Zhu, Q.S.[Qing-Song], Song, Z.[Zhan], Xie, Y.Q.[Yao-Qin], Wang, L.,
A Novel Recursive Bayesian Learning-Based Method for the Efficient and Accurate Segmentation of Video With Dynamic Background,
IP(21), No. 9, September 2012, pp. 3865-3876.
IEEE DOI 1208
BibRef

Zhu, Q.S.[Qing-Song], Zhang, Z.P.[Zhan-Peng], Song, Z.[Zhan], Xie, Y.Q.[Yao-Qin], Wang, L.[Lei],
A Novel Nonlinear Regression Approach for Efficient and Accurate Image Matting,
SPLetters(20), No. 11, 2013, pp. 1078-1081.
IEEE DOI 1310
feature extraction BibRef

Zhu, Q.S.[Qing-Song], Song, Z.[Zhan], Xie, Y.Q.[Yao-Qin],
An efficient r-KDE model for the segmentation of dynamic scenes,
ICPR12(198-201).
WWW Link. 1302
BibRef

Zhu, Q.S.[Qing-Song], Liu, G.Z.[Guan-Zheng], Xie, Y.Q.[Yao-Qin],
Dynamic Video Segmentation via a Novel Recursive Kernel Density Estimation,
ICIG11(452-455).
IEEE DOI 1109
BibRef

Zhu, Q.S.[Qing-Song], Song, Z.[Zhan],
Dynamic video segmentation via a novel recursive Bayesian learning method,
ICIP10(2997-3000).
IEEE DOI 1009
BibRef

Ramakanth, S.A.[S. Avinash], Babu, R.V.[R. Venkatesh],
SeamSeg: Video Object Segmentation Using Patch Seams,
CVPR14(376-383)
IEEE DOI 1409
ANNF BibRef

Tarabalka, Y.[Yuliya], Charpiat, G.[Guillaume], Brucker, L.[Ludovic], Menze, B.H.[Bjoern H.],
Spatio-Temporal Video Segmentation With Shape Growth or Shrinkage Constraint,
IP(23), No. 9, September 2014, pp. 3829-3840.
IEEE DOI 1410
BibRef
Earlier:
Enforcing Monotonous Shape Growth or Shrinkage in Video Segmentation,
BMVC13(xx-yy).
DOI Link 1402
graph theory BibRef


Luo, D.[Dijun], Huang, H.[Heng],
Video Motion Segmentation Using New Adaptive Manifold Denoising Model,
CVPR14(65-72)
IEEE DOI 1409
Adaptive Manifold Denoising;Video Motion Segmentation BibRef

Barker, J.W.[Joseph W.], Davis, J.W.[James W.],
Temporally-Dependent Dirichlet Process Mixtures for Egocentric Video Segmentation,
Egocentric14(571-578)
IEEE DOI 1409
Dirichlet Process; Video Segmentation BibRef

Zhang, Z.[Zhi], Han, T.X.[Tony X.], He, Z.H.[Zhi-Hai],
Coupled ensemble graph cuts and object verification for animal segmentation from highly cluttered videos,
ICIP15(2830-2834)
IEEE DOI 1512
Background modeling BibRef

Ren, X.B.[Xiao-Bo], Han, T.X.[Tony X.], He, Z.H.[Zhi-Hai],
Ensemble Video Object Cut in Highly Dynamic Scenes,
CVPR13(1947-1954)
IEEE DOI 1309
fuse information across frames to cut out the object. BibRef

Weber, M.[Markus], Bleser, G.[Gabriele], Liwicki, M.[Marcus], Stricker, D.[Didier],
Unsupervised motion pattern learning for motion segmentation,
ICPR12(202-205).
WWW Link. 1302
BibRef

Cinque, L.[Luigi], di Renzo, F.[Francesco], Foresti, G.L.[Gian Luca], Micheloni, C.[Christian], Morrone, G.[Gabriele],
Multi-sensor registration for objects motion detection,
ARTEMIS10(87-92).
DOI Link 1111
BibRef

Lu, G.L.[Guo-Liang], Kudo, M.[Mineichi], Toyama, J.[Jun],
Hierarchical Foreground Detection in Dynamic Background,
CAIP11(II: 413-420).
Springer DOI 1109
BibRef

Gruenwedel, S.[Sebastian], Van Hese, P.[Peter], Philips, W.[Wilfried],
An Edge-Based Approach for Robust Foreground Detection,
ACIVS11(554-565).
Springer DOI 1108
BibRef

Xu, C.H.[Chang-Hai], Liu, J.G.[Jin-Gen], Kuipers, B.[Benjamin],
Moving Object Segmentation Using Motor Signals,
ECCV12(V: 676-689).
Springer DOI 1210
BibRef
Earlier:
Motion Segmentation by Learning Homography Matrices from Motor Signals,
CRV11(316-323).
IEEE DOI 1105
BibRef

Schiller, I.[Ingo], Koch, R.[Reinhard],
Improved Video Segmentation by Adaptive Combination of Depth Keying and Mixture-of-Gaussians,
SCIA11(59-68).
Springer DOI 1105
See also NIL. BibRef

Bhaskaranand, M.[Malavika], Bhagavathy, S.[Sitaram],
Motion-based object segmentation using frame alignment and consensus filtering,
ICIP10(2245-2248).
IEEE DOI 1009
BibRef

Hishinuma, Y.[Yuki], Suzuki, T.[Tomoyuki], Nakagami, K.[Kazuki], Nishitani, T.[Takao],
Transformed domain GMM foreground segmentation for mobile video camera,
ICIP10(2217-2220).
IEEE DOI 1009
BibRef

Drucker, F.[Fabio], MacCormick, J.P.[John P.],
Fast superpixels for video analysis,
WMVC09(1-8).
IEEE DOI 0912
Oversegment into superpixels. BibRef

Feldmann, T.[Tobias],
Spatio-Temporal Optimization for Foreground/Background Segmentation,
VS10(113-122).
Springer DOI 1109
BibRef

Feldmann, T.[Tobias], Dießelberg, L.[Lars], Wörner, A.[Annika],
Adaptive Foreground/Background Segmentation Using Multiview Silhouette Fusion,
DAGM09(522-531).
Springer DOI 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 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 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 0711
BibRef

Jiang, M., Crookes, D.,
Video Object Motion Segmentation for Intelligent Visual Surveillance,
IMVIP07(202-202).
IEEE DOI 0709
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 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 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).
IEEE DOI 0610
BibRef

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

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

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


Last update:Dec 5, 2016 at 16:08:52