18.3.4.2 Moving Object Extraction, Using Models or Analysis of Regions

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

Elnagar, A., Basu, A.,
Motion Detection Using Background Constraints,
PR(28), No. 10, October 1995, pp. 1537-1554.
WWW Version. BibRef 9510

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).
WWW Version. 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).
WWW Version. 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).
WWW Version. BibRef 9600

DuFaux, F., Moscheni, F., Lippman, A.,
Spatio-temporal segmentation based on motion and static segmentation,
ICIP95(I: 306-309).
WWW Version. 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).
WWW Version. 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.[Munchurl], 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

Kim, M.[Munchurl], 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).
WWW Version. BibRef
Earlier:
Region Growing Motion Segmentation and Estimation in Object-Oriented Video Coding,
ICIP96(II: 521-524).
WWW Version. 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 Continuous-Model Moving Shapes by Evidence Gathering,
BMVC99(Movement and Tracking). 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. 0407Choose the right video segmentation for the application. Different ones have different advantages. BibRef

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

Sheikh, Y.[Yaser], Shah, M.[Mubarak],
Bayesian Modeling of Dynamic Scenes for Object Detection,
PAMI(27), No. 11, November 2005, pp. 1778-1792.
WWW Version. 0510 BibRef
Earlier:
Bayesian Object Detection in Dynamic Scenes,
CVPR05(I: 74-79).
WWW Version. 0507Object 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).
WWW Version. 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).
WWW Version. 0606 BibRef

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.
WWW Version. 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).
WWW Version. 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. 06083D 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.
WWW Version. 0609Active 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).
WWW Version. 0405 BibRef
And:
Background Modeling Based on Subpixel Edges,
ICIP07(VI: 321-324).
WWW Version. 0709Curves; 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).
WWW Version. 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).
WWW Version. 0510Motion-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


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).
WWW Version. 0711 BibRef

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

Yang, W.X.[Wen-Xian], Ngan, K.N.[King Ngi],
Unsupervised Multiple Object Segmentation of Multiview Images,
ACIVS07(178-189).
WWW Version. 0708Color, 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).
WWW Version. 0705 BibRef

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

Gelasca, E.D.[Elisa Drelie], Ebrahimi, T.[Touradj], Karaman, M.[Mustafa], Sikora, T.[Thomas],
A Framework for Evaluating Video Object Segmentation Algorithms,
PercOrg06(198).
WWW Version. 0609 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.[Anthony], Doretto, G.[Gianfranco],
Moving Object Segmentation using Scene Understanding,
PercOrg06(201).
WWW Version. 0609 BibRef

Yin, Z.Z.[Zhao-Zheng], Collins, R.[Robert],
Moving Object Localization in Thermal Imagery by Forward-backward MHI,
OTCBVS06(133).
WWW Version. 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).
WWW Version. 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).
WWW Version. 0709 BibRef
Earlier: A1, A2, A3, Only:
Inference of moving forms via Belief Propagation,
ICPR06(II: 191-194).
WWW Version. 0609 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).
WWW Version. 0509 BibRef

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

Schwerdt, K., Maman, D., Bernas, P., Paul, E.,
Target segmentation and event detection at video-rate: The EAGLE project,
AVSBS05(183-188).
WWW Version. 0602 BibRef

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

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

Schindler, K.,
Spatially Consistent 3D Motion Segmentation,
ICIP05(III: 409-412).
WWW Version. 0512 BibRef

Biancardini, L.[Loic], Dokladalova, E.[Eva], Beucher, S.[Serge], Letellier, L.[Laurent],
From Moving Edges to Moving Regions,
IbPRIA05(I:119).
WWW Version. 0509 BibRef

Rittscher, J.[Jens], Tu, P.H.[Peter H.], Krahnstoever, N.[Nils],
Simultaneous Estimation of Segmentation and Shape,
CVPR05(II: 486-493).
WWW Version. 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).
WWW Version. 0507 BibRef

Barbu, A., Yuille, A.,
Motion Estimation by Swendsen-Wang Cuts,
CVPR04(I: 754-761).
IEEE Abstract. IEEE Top Reference. 0408Modeling 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).
WWW Version. 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).
WWW Version. 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).
WWW Version. 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).
WWW Version. 0106 BibRef

Wills, J., Agarwal, S., Belongie, S.,
What went where,
CVPR03(I: 37-44).
IEEE Abstract. IEEE Top Reference. 0307motion 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. 0110Combine color and motion. BibRef

Ke, Q.[Qifa], Kanade, T.,
A Subspace Approach to Layer Extraction,
CVPR01(I:255-262).
IEEE Abstract. IEEE Top Reference. 0110Motion 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).
WWW Version. 0106 BibRef

Schödl, A., Essa, I.A.,
Depth Layers from Occlusions,
CVPR01(I:639-644).
IEEE Abstract. IEEE Top Reference. 0110Relative 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).
WWW Version.
HTML Version. 0009Shape 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).
WWW Version. 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

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

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:May 8, 2008 at 19:01:47