18.3.4 Extract Moving Objects from Sequences

Suzuki, M.[Masatoshi],
Apparatus for detecting moving body,
US_Patent4,449,144, May 15, 1984
WWW Version. BibRef 8405

Mutch, K.M.[Kathleen M.], and Thompson, W.B.[William B.],
Analysis of Accretion and Deletion at Boundaries in Dynamic Scenes,
PAMI(7), No. 2, March 1985, pp. 133-138. BibRef 8503
Earlier: Univ. of MinnesotaTR 84-7, Computer Science Dept, May 1984. Analysis of the changes (adding and removing) in regions at boundaries when one object moves relative to the other. This can give the optic flow data for the region near the boundary. BibRef

Thompson, W.B.,
Combining Motion and Contrast for Segmentation,
PAMI(2), No. 6, November 1980, pp. 543-549. Brightness is used for static segmentation then merge regions based on motion similarities. BibRef 8011

Fennema, C.L., and Thompson, W.B.,
Velocity Determination in Scenes Containing Several Moving Objects,
CGIP(9), No. 4, April 1979, pp. 301-315.
WWW Version. Hough. Motion, Segmentation. Similar to the Lucas technique, but earlier (and not referenced initially by Lucas ( See also Generalized Image Matching by the Method of Differences. )). Uses a hough technique for translation estimate and relaxation for motion based segmentation. BibRef 7904

Thompson, W.B., and Pong, T.C.,
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IJCV(4), No. 1. January 1990, pp. 39-58.
Springer DOI Link BibRef 9001
Earlier: ICCV87(201-208). Several different restricted techniques are developed for motion detection using camera motion or scene structure and flow fields. BibRef

Nishimura, S.[Shigeru], Kuroda, T.[Toshihisa], Aoki, S.I.[Shin-Ichiro],
Video signal processing apparatus for separating an image of a moving object from video signals,
US_Patent4,805,018, Feb 14, 1989
WWW Version. BibRef 8902

Omata, S.[Satoshi], Shimizu, H.[Hiroshi], Yamaguchi, Y.[Yoko],
Motion-pattern recognition apparatus,
US_Patent5,067,160, Nov 19, 1991
WWW Version. BibRef 9111

François, E.[Edouard], Bouthemy, P.[Patrick],
Motion Segmentation and Qualitative Dynamic Scene Analysis from an Image Sequence,
IJCV(10), No. 2, May 1993, pp. XX.
Springer DOI Link BibRef 9305
Earlier:
Multiframe-Based Identification of Mobile Components of a Scene with a Moving Camera,
CVPR91(166-172).
IEEE Abstract. IEEE Top Reference. Segment based on differences then analyze the regions. BibRef

François, E.[Edouard], Bouthemy, P.[Patrick],
The Derivation of Qualitative Information in Motion Analysis,
IVC(8), No. 4, November 1990, pp. 279-288. BibRef 9011
And: ECCV90(226-230).
Springer DOI Link 9004
BibRef

Francois, E.,
Interpretation Qualitative Du Mouvement a Partir d'une Sequence d'Images,
Ph.D.Universite de Rennes I, 1991. BibRef 9100

Meyer, F.G., and Bouthemy, P.,
Exploiting the Temporal Coherence of Motion for Linking Partial Spatiotemporal Trajectories,
CVPR93(746-747).
IEEE Abstract. IEEE Top Reference. BibRef 9300

Letang, J.M., Rebuffel, V., and Bouthemy, P.,
Motion Detection Robust to Perturbations: A Statistical Regularization and Temporal Integration Framework,
ICCV93(21-30).
IEEE DOI Link BibRef 9300
Earlier:
Motion Detection Based on a Temporal Multiscale Approach,
ICPR92(I:65-68).
IEEE DOI Link Multi-scale (temporal) decomposition followed by change detection to track moving objects. BibRef

Hennebert, C., Rebuffel, V., Bouthemy, P.,
A Hierarchical Approach for Scene Segmentation Based on 2D Motion,
ICPR96(I: 218-222).
IEEE DOI Link 9608
(LETI, DSYS) BibRef

Bouthemy, P., and Lalande, P.,
Detection and Tracking of Moving Objects Based on a Statistical Regularization Method in Space and Time,
ECCV90(307-311).
Springer DOI Link Find the moving objects (cars) with a stationary camera. BibRef 9000

Bouthemy, P., Santillana Rivero, J.,
A Hierarchical Likelihood Approach for Region Segmentation According to Motion-Based Criteria,
ICCV87(463-467). BibRef 8700

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 Version. 0002
BibRef
Earlier:
A Region-Level Graph Labeling Approach to Motion-Based Segmentation,
CVPR97(514-519).
IEEE Abstract. IEEE Top Reference.
WWW Version. 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 Abstract. IEEE Top Reference. BibRef 9900

Fujioka, A.[Arisa], Watanabe, S.[Sadakazu],
Method and apparatus for obtaining an object image and distance data of a moving object,
US_Patent4,908,704, Mar 13, 1990
WWW Version. BibRef 9003

Zheng, H.Y., Blostein, S.D.,
Motion-Based Object Segmentation and Estimation Using the MDL Principle,
IP(4), No. 9, September 1995, pp. 1223-1235.
IEEE DOI Link BibRef 9509

Markandey, V., Reid, A., Wang, S.,
Motion Estimation for Moving Target Detection,
AeroSys(32), No. 3, July 1996, pp. 866-874. 9608
BibRef

Ehara, N., Sasase, I., Mori, S.,
Moving Target Detection by Quadrature Mirror Filter,
ECJ(79), No. 4, April 1996, pp. 55-62. 9605
BibRef

Nash, J.M., Carter, J.N., Nixon, M.S.,
Dynamic Feature-Extraction via the Velocity Hough Transform,
PRL(18), No. 10, October 1997, pp. 1035-1047. 9802
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Earlier:
The Velocity Hough Transform: A New Technique for Dynamic Feature Extraction,
ICIP97(II: 386-389).
IEEE DOI Link BibRef

Nagaya, S.[Shigeki], Miyatake, T.[Takafumi], Fujita, T.[Takehiro],
Moving object detection apparatus,
US_Patent5,721,692, Feb 24, 1998
WWW Version. BibRef 9802
And: US_Patent5,862,508, Jan 19, 1999
WWW Version. BibRef

Otsuki, A.[Akira], Choi, Y.J.[Yun Jong],
Method and apparatus for moving object detection,
US_Patent5,877,804, Mar 2, 1999
WWW Version. BibRef 9903

Lappas, P.[Pelopidas], Carter, J.N.[John N.], Damper, R.I.[Robert I.],
Robust evidence-based object tracking,
PRL(23), No. 1-3, January 2002, pp. 253-260.
HTML Version. 0201
BibRef
Earlier:
Object Tracking Via the Dynamic Velocity Hough Transform,
ICIP01(II: 371-374).
IEEE Abstract. IEEE Top Reference. 0108
BibRef

Lin, Y.T.[Yun-Ting], Chen, Y.K.[Yen-Kuang], Kung, S.Y.,
A Principal Component Clustering Approach to Object Oriented Motion Segmentation and Estimation,
VLSIVideo(17), No. 2-3, November 1997, pp. 163-187. 9712
BibRef
Earlier:
Object-Based Scene Segmentation Combining Motion and Image Cues,
ICIP96(I: 957-960).
IEEE DOI Link BibRef

Wüstefeld, M.[Martin], Plasberg, G.[Georg],
Apparatus and a method for the detection of objects,
US_Patent7,116,799, Oct 3, 2006
WWW Version. BibRef 0610

Altunbasak, Y.[Yucel], Eren, P.E.[P. Erhan], Tekalp, A.M.[A. Murat],
Region-Based Parametric Motion Segmentation Using Color Information,
GMIP(60), No. 1, January 1998, pp. 13-23. BibRef 9801

Altunbasak, Y., Oten, R., and de Figueiredo, R.J.P.,
Simultaneous Object Segmentation, Multiple Object Tracking and Alpha Map Generation,
ICIP97(I: 69-72).
IEEE DOI Link BibRef 9700

Altunbasak, Y.[Yucel], Mersereau, R.M., Patti, A.J.[Andrew J.],
A fast parametric motion estimation algorithm with illumination and lens distortion correction,
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Altunbasak, Y.[Yucel], Patti, A.J.[Andrew J.], King, O.D.[Oliver D.],
On Global Parametric Motion Estimation with Lens Distortion Correction,
ICIP99(III:686-690).
IEEE Abstract. IEEE Top Reference. BibRef 9900

Foresti, G.L.,
Real-time detection of multiple moving objects in complex image sequences,
IJIST(10), No. 4, 1999, pp. 305-317. BibRef 9900

Nguyen, H.T., Worring, M., Dev, A.,
Detection of Moving Objects in Video Using a Robust Motion Similarity Measure,
IP(9), No. 1, January 2000, pp. 137-141.
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BibRef

Castellano, G.[Gabriela], Boyce, J.[James], Sandler, M.[Mark],
Regularized CDWT optical flow applied to moving-target detection in IR imagery,
MVA(11), No. 6, 2000, pp. 277-288.
HTML Version. 0005
BibRef
Earlier:
Moving Target Detection in Infrared Imagery Using a Regularised CDWT Optical Flow,
CVBVS99(13).
IEEE DOI Link 9906
BibRef

Kim, B.G.[Byung-Gyu], Kim, D.J.[Do-Jong], Park, D.J.[Dong-Jo],
Novel precision target detection with adaptive thresholding for dynamic image segmentation,
MVA(12), No. 5, 2001, pp. 259-270.
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Kim, B.G.[Byung-Gyu], Park, D.J.[Dong-Jo],
Novel target segmentation and tracking based on fuzzy membership distribution for vision-based target tracking system,
IVC(24), No. 12, 1 December 2006, pp. 1319-1331.
WWW Version. 0610
Image segmentation; Target detection; Three-dimensional feature; Fuzzy membership value; Optimal membership value BibRef

Kim, B.G.[Byung-Gyu], Park, D.J.[Dong-Jo],
Novel Noncontrast-Based Edge Descriptor for Image Segmentation,
CirSysVideo(16), No. 9, September 2006, pp. 1086-1095.
IEEE DOI Link 0610
BibRef

Kim, B.G.[Byung-Gyu], Park, D.J.[Dong-Jo],
Unsupervised video object segmentation and tracking based on new edge features,
PRL(25), No. 15, November 2004, pp. 1731-1742.
WWW Version. 0411
Track regions for coding applications. BibRef

Kim, B.G.[Byung-Gyu], Mah, P.S.[Pyeong-Soo], Park, D.J.[Dong-Jo], Jung, J.H.[Jik-Han], Park, J.S.[Ju-Seok],
Non-contrast based edge descriptor for image segmentation,
ICPR04(I: 572-575).
IEEE DOI Link 0409
BibRef

Sarkar, S.[Sudeep], Majchrzak, D.[Daniel], Korimilli, K.[Kishore],
Perceptual Organization Based Computational Model for Robust Segmentation of Moving Objects,
CVIU(86), No. 3, June 2002, pp. 141-170.
WWW Version. 0301
BibRef
Earlier: A3, A1, Only:
Motion Segmentation Based on Perceptual Organization of Spatio-temporal Volumes,
ICPR00(Vol III: 844-849).
IEEE DOI Link
HTML Version. 0009
BibRef

Tuncel, E., Onural, L.,
Utilization of the Recursive Shortest Spanning Tree Algorithm for Video Object Segmentation by 2-D Affine Motion Modeling,
CirSysVideo(10), No. 5, August 2000, pp. 776-781.
IEEE Top Reference. 0008
BibRef

Onural, L.[Levent], Alatan, A.A.[Abdullah Aydin], Tuncel, E.[Ertem],
Rule-based moving object segmentation,
US_Patent6,337,917, Jan 8, 2002
WWW Version. BibRef 0201

Alatan, A.A., Tuncel, E., and Onural, L.,
A Rule-Based Method for Object Segmentation in Video Sequences,
ICIP97(II: 522-525).
IEEE DOI Link BibRef 9700

Lo, C.C.[Chi-Chun], Wang, S.J.[Shuenn-Jyi],
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Sheraizin, S.M.[Semion M.], Sheraizin, V.S.[Vitaly S.],
Method and system for real time motion picture segmentation and superposition,
US_Patent6,753,929, Jun 22, 2004
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Yang, G.B.[Gao-Bo], Yu, S.F.[Sheng-Fa],
Modified intelligent scissors and adaptive frame skipping for video object segmentation,
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WWW Version. 0508
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Chujoh, T.[Takeshi], Kikuchi, Y.[Yoshihiro], Sakuma, A.[Akira], Hayashi, T.[Toshifumi], Kobayashi, H.[Hiroyuki],
Method for detecting a moving object in motion video and apparatus therefor,
US_Patent6,876,701, Apr 5, 2005
WWW Version. BibRef 0504
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WWW Version. BibRef

Liu, Y., Zheng, Y.F.,
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Zhang, X.P.[Xiao-Ping], Chen, Z.[Zhenhe],
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Chiu, S.[Shen],
Application of Fractional Fourier Transform to Moving Target Indication via Along-Track Interferometry,
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Shen, C.F.[Chun-Feng], Lin, X.Y.[Xue-Yin], Shi, Y.C.[Yuan-Chun],
Moving object tracking under varying illumination conditions,
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WWW Version. 0609
BibRef
Fusion of Texture Variation and On-Line Color Sampling for Moving Object Detection Under Varying Chromatic Illumination,
ACCV06(I:90-99).
Springer DOI Link 0601
Tracking; Color model; Texture model; Illumination variation; Level set BibRef

Vidal, R.[René], Ma, Y.[Yi],
A Unified Algebraic Approach to 2-D and 3-D Motion Segmentation and Estimation,
JMIV(25), No. 3, October 2006, pp. 403-421.
Springer DOI Link 0611
BibRef
Earlier:
A Unified Algebraic Approach to 2-D and 3-D Motion Segmentation,
ECCV04(Vol I: 1-15).
WWW Version. 0405
BibRef

Rao, S.R.[Shankar R.], Tron, R.[Roberto], Vidal, R.[Rene], Ma, Y.[Yi],
Motion segmentation via robust subspace separation in the presence of outlying, incomplete, or corrupted trajectories,
CVPR08(1-8).
IEEE DOI Link 0806
BibRef

Vidal, R.[René], Tron, R.[Roberto], Hartley, R.I.[Richard I.],
Multiframe Motion Segmentation with Missing Data Using PowerFactorization and GPCA,
IJCV(79), No. 1, August 2008, pp. xx-yy.
Springer DOI Link 0804
BibRef
Earlier: A1, A3, Only:
Motion segmentation with missing data using powerfactorization and GPCA,
CVPR04(II: 310-316).
IEEE Abstract. IEEE Top Reference. 0408
See also Generalized Principal Component Analysis (GPCA). See also Minimum Effective Dimension for Mixtures of Subspaces: A Robust GPCA Algorithm and its Applications. See also Three-View Multibody Structure from Motion. BibRef

Vidal, R., Sastry, S.,
Optimal segmentation of dynamic scenes from two perspective views,
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IEEE Abstract. IEEE Top Reference. 0307
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Earlier:
Segmentation of dynamic scenes from image intensities,
Motion02(44-49).
IEEE Abstract. IEEE Top Reference. 0303
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Comaniciu, D.[Dorin], del Bue, A.[Alessio], Ramesh, V.[Visvanathan],
Real-time video object generation for smart cameras,
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WWW Version. BibRef 0701

del Bue, A., Comaniciu, D., Ramesh, V., Regazzoni, C.,
Smart cameras with real-time video object generation,
ICIP02(III: 429-432).
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Gruber, A.[Amit], Weiss, Y.[Yair],
Incorporating Non-motion Cues into 3D Motion Segmentation,
CVIU(108), No. 3, December 2007, pp. 261-271.
WWW Version. 0711
BibRef
Earlier: ECCV06(III: 84-97).
Springer DOI Link 0608
3D motion segmentation; Multibody factorization; Spatial coherence; EM algorithm; Graphical models; Factor analysis; Constrained factorization; Structure from motion BibRef

Liu, Z.[Zhi], Lu, Y.[Yu], Zhang, Z.Y.[Zhao-Yang],
Real-time spatiotemporal segmentation of video objects in the H.264 compressed domain,
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WWW Version. 0711
Compressed domain segmentation; Video object segmentation; H.264; Real-time segmentation; Spatiotemporal segmentation BibRef

Steenburgh, M.[Malcolm], Murray, D.[Don], Tucakov, V.[Vladimir], Ku, S.[Shyan], Barman, R.[Rod],
Method and apparatus for measuring dwell time of objects in an environment,
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WWW Version. BibRef 0701

Garoutte, M.V.[Maurice V.],
Video analysis using segmentation gain by area,
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WWW Version. BibRef 0705

Dosil, R.[Raquel], Fdez-Vidal, X.R.[Xose R.], Pardo, X.M.[Xose M.],
Motion representation using composite energy features,
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WWW Version. 0711
See also Distances between frequency features for 3D visual pattern partitioning. Spatio-temporal energy filtering; Feature integration; Composite energy features; Apparent-motion segmentation and tracking BibRef

Kumar, M.P.[M. Pawan], Torr, P.H.S., Zisserman, A.,
Learning Layered Motion Segmentations of Video,
IJCV(76), No. 3, March 2008, pp. 301-319.
Springer DOI Link 0801
BibRef
Earlier:
Learning Layered Motion Segmentation of Video,
ICCV05(I: 33-40).
IEEE DOI Link 0510
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Qi, B.[Bin], Ghazal, M.[Mohammed], Amer, A.[Aishy],
Robust Global Motion Estimation Oriented to Video Object Segmentation,
IP(17), No. 6, June 2008, pp. 958-967.
IEEE DOI Link 0711
BibRef
Earlier: A1, A3, Only:
Robust and Fast Global Motion Estimation Oriented to Video Object Segmentation,
ICIP05(I: 153-156).
IEEE DOI Link 0512
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Vázquez, C.[Carlos], Ghazal, M.[Mohammed], Amer, A.[Aishy],
Feature-based detection and correction of occlusions and split of video objects,
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Address occlusions and object splitting. BibRef

Pundlik, S.J., Birchfield, S.T.,
Real-Time Motion Segmentation of Sparse Feature Points at Any Speed,
SMC-B(37), No. 3, June 2007, pp. 731-742.
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Earlier:
Motion Segmentation at Any Speed,
BMVC06(I:427).
PDF Version. 0609
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Birchfield, S.T.[Stanley T.], Pundlik, S.J.[Shrinivas J.],
Joint tracking of features and edges,
CVPR08(1-6).
IEEE DOI Link 0806
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Yang, H.[Hong], Tian, J.W.[Jin-Wen], Chu, Y., Tang, Q., Liu, J.[Jian],
Spatiotemporal Smooth Models for Moving Object Detection,
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IEEE DOI Link 0806
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Yang, H.[Hong], Tan, Y.H.[Yi-Hua], Tian, J.W.[Jin-Wen], Liu, J.[Jian],
Accurate Dynamic Scene Model for Moving Object Detection,
ICIP07(VI: 157-160).
IEEE DOI Link 0709
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Li, X.[Xi], Ning, Z.N.[Zheng-Nan], Xiang, L.W.[Liu-Wei],
Robust Multi-Body Motion Segmentation Based on Fuzzy k-Subspace Clustering,
IEICE(E88-D), No. 11, November 2005, pp. 2609-2614.
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Min, C.K.[Chang-Ki], Medioni, G.[Gérard],
Inferring Segmented Dense Motion Layers Using 5D Tensor Voting,
PAMI(30), No. 9, September 2008, pp. 1589-1602.
IEEE DOI Link
PDF Version. 0808
BibRef
Earlier:
Motion Segmentation by Spatiotemporal Smoothness Using 5D Tensor Voting,
PercOrg06(199).
IEEE DOI Link
PDF Version. 0609
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Earlier:
Matching and Interpretation of Planar Motion Using Tensor Voting,
PercOrg04(57).
IEEE DOI Link 0502
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Dinh, T.B.[Thang B.], Medioni, G.[Gerard],
Two-Frames Accurate Motion Segmentation Using Tensor Voting and Graph-Cuts,
Motion08(1-8).
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PDF Version. 0801
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Boltz, S.[Sylvain], Herbulot, A.[Ariane], Debreuve, E.[Eric], Barlaud, M.[Michel], Aubert, G.[Gilles],
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IJCV(80), No. 2, November 2008, pp. xx-yy.
Springer DOI Link 0809
BibRef
Earlier: A2, A1, A3, A4, A5:
Space-Time Segmentation Based on a Joint Entropy with Estimation of Nonparametric Distributions,
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Garcia, V.[Vincent], Boltz, S.[Sylvain], Debreuve, E.[Eric], Barlaud, M.[Michel],
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ICIP07(VI: 309-312).
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Boltz, S., Wolsztynski, E., Debreuve, E., Thierry, E., Barlaud, M., Pronzato, L.,
A Minimum-Entropy Procedure for Robust Motion Estimation,
ICIP06(1249-1252). 0610

IEEE DOI Link BibRef

Herbulot, A., Boltz, S., Debreuve, E., Barlaud, M.,
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ICIP06(1853-1856). 0610

IEEE DOI Link BibRef

Landabaso, J.L.[Jose-Luis], Pardas, M.[Montse],
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Tsai, D.M.[Du-Ming], Chiu, W.Y.[Wei-Yao],
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PRL(29), No. 16, 1 December 2008, pp. 2145-2155.
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Motion detection; Surveillance; Foreground segmentation; Fourier transforms BibRef

Thakoor, N.[Ninad], Gao, J.X.[Jean X.],
Automatic Video Object Extraction With Camera In Motion,
IJIG(8), No. 4, October 2008, pp. 573-600. 0804
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Earlier:
Automatic Video Object Shape Extraction and its Classification with Camera in Motion,
ICIP05(III: 437-440).
IEEE DOI Link 0512
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Gryn, J.M.[Jacob M.], Wildes, R.P.[Richard P.], Tsotsos, J.K.[John K.],
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Elsevier DOI Link
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And: WACV05(I: 202-209).
WWW Version. 0502
Surveillance; Direction maps; Dominant direction; Event detection; Spatiotemporal analysis; Motion analysis BibRef

Cho, J.S.[Jae-Soo],
Apparatus and method for controlling a camera using a video compression algorithm,
US_Patent7,248,286, Jul 24, 2007
WWW Version. BibRef 0707

Sefcik, J.[Jason],
Method and system for estimating the position of moving objects in images,
US_Patent7,277,558, Oct 2, 2007
WWW Version. BibRef 0710

Lee, J.S.[Jin Soo], Yu, J.S.[Jae Shin],
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US_Patent7,313,254, Dec 25, 2007
WWW Version. BibRef 0712

Wu, B.[Bo], Nevatia, R.[Ram],
Detection and Segmentation of Multiple, Partially Occluded Objects by Grouping, Merging, Assigning Part Detection Responses,
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Springer DOI Link 0903
BibRef
Earlier:
Optimizing discrimination-efficiency tradeoff in integrating heterogeneous local features for object detection,
CVPR08(1-8).
IEEE DOI Link
PDF Version. 0806
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Wu, B.[Bo], Nevatia, R.[Ram], Li, Y.[Yuan],
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CVPR08(1-8).
IEEE DOI Link
PDF Version. 0806
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Bugeau, A.[Aurelie], Perez, P.[Patrick],
Detection and segmentation of moving objects in complex scenes,
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Elsevier DOI Link
WWW Version. 0903
BibRef
Earlier:
Detection and segmentation of moving objects in highly dynamic scenes,
CVPR07(1-8).
IEEE DOI Link 0706
Motion detection; Segmentation; Mean shift clustering; Graph cuts BibRef

Dibos, F.[Francoise], Koepfler, G.[Georges], Pelletier, S.[Sylvain],
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SIIMS(2), No. 1, 2009, pp. 1-19. real-time detection; a contrario method; cluster; false alarm; video segmentation
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WWW Version. BibRef 0900
Earlier: A1, A3, A2:
Real-Time Segmentation of Moving Objects in a Video Sequence by a Contrario Detection,
ICIP05(I: 1065-1068).
IEEE DOI Link 0512
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And: A1, A3, A2:
Real-time video segmentation,
AVSBS05(382-387).
IEEE DOI Link 0602
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Barranco, F.[Francisco], Díaz, J.[Javier], Ros, E.[Eduardo], del Pino, B.[Begoña],
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Mota, S.[Sonia], Ros, E.[Eduardo], Díaz, J.[Javier], Agis, R.[Rodrigo], de Toro, F.[Francisco],
Bio-inspired Motion-Based Object Segmentation,
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Moving-Object Detection, Association, and Selection in Home Videos,
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Xu, J.F.[Jian-Feng], Yamasaki, T.[Toshihiko], Aizawa, K.[Kiyoharu],
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Earlier:
Mutual Information in 3D Video,
3DTV07(1-4).
IEEE DOI Link 0705
BibRef
Earlier:
Motion Editing in 3D Video Database,
3DPVT06(472-479).
IEEE DOI Link 0606
BibRef
Earlier:
3D Video Segmentation Using Point Distance Histograms,
ICIP05(I: 701-704).
IEEE DOI Link 0512
BibRef

Yamasaki, T., Aizawa, K.,
Motion Segmentation for 3D Video Based on Spherical Registration,
3DTV07(1-4).
IEEE DOI Link 0705
BibRef

Liu, C.[Chang], Yuen, P.C.[Pong C.], Qiu, G.P.[Guo-Ping],
Object motion detection using information theoretic spatio-temporal saliency,
PR(42), No. 11, November 2009, pp. 2897-2906.
Elsevier DOI Link
WWW Version. 0907
Moving object detection; Foreground detection BibRef

Celik, H.[Hasan], Hanjalic, A.[Alan], Hendriks, E.A.[Emile A.],
Unsupervised and simultaneous training of multiple object detectors from unlabeled surveillance video,
CVIU(113), No. 10, October 2009, pp. 1076-1094,.
Elsevier DOI Link
WWW Version. 0910
BibRef
Earlier:
On the development of an autonomous and self-adaptable moving object detector,
AVSBS07(353-358).
IEEE DOI Link 0709
Object detection; Surveillance; Pattern classification; Clustering; Unsupervised learning BibRef

Celik, H.[Hasan], Hanjalic, A.[Alan], Hendriks, E.A.[Emile A.], Boughorbel, S.[Sabri],
Online training of object detectors from unlabeled surveillance video,
Learning08(1-7).
IEEE DOI Link 0806
BibRef

Mak, C.M., Cham, W.K.,
Real-time video object segmentation in H.264 compressed domain,
IET-IPR(3), No. 5, October 2009, pp. 272-285.
WWW Version. 0911
BibRef

Wang, J., Patel, N.V., Grosky, W.I., Fotouhi, F.,
Moving Camera Moving Object Segmentation in Compressed Video Sequences,
IJIG(9), No. 4, October 2009, pp. 609-627.
WWW Version. 0911
BibRef

Rambabu, C.[Chinta], Kim, K.Y.[Ki-Young], Woo, W.T.[Woon-Tack],
Fast and accurate extraction of moving object silhouette for personalized Virtual Reality Studio @ Home,
RealTimeIP(4), No. 4, November 2009, pp. xx-yy.
Springer DOI Link 0911
VR@Home platform. Shadows and highlights using background differences in hue and saturation. BibRef

Ilyas, A.[Atif], Scuturici, M.[Mihaela], Miguet, S.[Serge],
Real Time Foreground-Background Segmentation Using a Modified Codebook Model,
AVSBS09(454-459).
IEEE DOI Link 0909
BibRef

Sagrebin, M.[Maria], Pauli, J.[Josef],
Real-Time Moving Object Detection for Video Surveillance,
AVSBS09(31-36).
IEEE DOI Link 0909
BibRef

Basah, S.N.[Shafriza Nisha], Bab-Hadiashar, A.[Alireza], Hoseinnezhad, R.[Reza],
Conditions for Segmentation of 2D Translations of 3D Objects,
CIAP09(82-91).
Springer DOI Link 0909
Segment 3D objects with motion information. BibRef

Liu, F.[Feng], Gleicher, M.[Michael],
Learning color and locality cues for moving object detection and segmentation,
CVPR09(320-327).
IEEE DOI Link 0906
BibRef

Chakraborty, M.[Manali], Fuentes, O.[Olac],
Real-Time Image-Based Motion Detection Using Color and Structure,
ICIAR09(678-686).
Springer DOI Link 0907
Census transform based on Sobel operators. BibRef

Subudhi, B.N.[Badri Narayan], Nanda, P.K.[Pradipta Kumar],
An Evolutionary Based Slow and Fast Moving Video Object Detection Scheme Using Compound Markov Random Field Model,
ICCVGIP08(398-405).
IEEE DOI Link 0812
BibRef

Baradarani, A.[Aryaz], Wu, J.[Jonathan],
Moving object segmentation using the 9/7-10/8 dual-tree complex filter bank,
ICPR08(1-4).
IEEE DOI Link 0812
BibRef

Fraile, R.[Roberto], Hogg, D.C.[David C.], Cohn, A.G.[Anthony G.],
Motion segmentation by consensus,
ICPR08(1-4).
IEEE DOI Link 0812
BibRef

Gong, M.L.[Ming-Lun], Cheng, L.[Li],
Real-time foreground segmentation on GPUs using local online learning and global graph cut optimization,
ICPR08(1-4).
IEEE DOI Link 0812
BibRef

Wu, X.Y.[Xiao-Yu], Wang, Y.S.[Yang-Sheng], Li, J.T.[Ji-Tuo],
Video Background Segmentation Using Adaptive Background Models,
CIAP09(623-632).
Springer DOI Link 0909
BibRef

Wu, X.Y.[Xiao-Yu], Wang, Y.S.[Yang-Sheng], Zheng, X.L.[Xiao-Long],
Monocular video foreground segmentation system,
ICPR08(1-4).
IEEE DOI Link 0812
BibRef

Li, H.W.[Hong-Wei], Lin, L.[Liang], Wu, T.F.[Tian-Fu], Liu, X.B.[Xiao-Bai], Dong, L.F.[Lan-Fang],
Object-of-interest extraction by integrating stochastic inference with learnt active shape sketch,
ICPR08(1-4).
IEEE DOI Link 0812
BibRef

Dikmen, M.[Mert], Huang, T.S.[Thomas S.],
Robust estimation of foreground in surveillance videos by sparse error estimation,
ICPR08(1-4).
IEEE DOI Link 0812
BibRef

Li, Z.[Zhu], Yabuta, K.[Kenichi], Kitazawa, H.[Hitoshi],
A New Method for Moving Object Extraction and Tracking Based on the Exclusive Block Matching,
PSIVT09(249-260).
Springer DOI Link 0901
BibRef

Tezuka, H.[Hiroaki], Nishitani, T.[Takao],
A precise and stable foreground segmentation using fine-to-coarse approach in transform domain,
ICIP08(2732-2735).
IEEE DOI Link 0810
BibRef

Tiburzi, F.[Fabrizio], Escudero, M.[Marcos], Bescos, J.[Jesus], Martinez, J.M.[Jose M.],
A ground truth for motion-based video-object segmentation,
ICIP08(17-20).
IEEE DOI Link 0810
BibRef

Escudero, M.[Marcos], Tiburzi, F.[Fabrizio], Bescos, J.[Jesus],
MPEG video object segmentation under camera motion and multimodal backgrounds,
ICIP08(2668-2671).
IEEE DOI Link 0810
BibRef

Ahn, J.K.[Jae-Kyun], Kim, C.S.[Chang-Su],
Real-time segmentation of objects from video sequences with non-stationary backgrounds using spatio-temporal coherence,
ICIP08(1544-1547).
IEEE DOI Link 0810
BibRef

Zhang, T.Z.[Tian-Zhu], Li, S.Z.[Stan Z.], Xiang, S.M.[Shi-Ming], Zhang, L.[Lun], Liu, S.[Si],
Co-Training Based Segmentation of Merged Moving Objects,
VS08(xx-yy). 0810
BibRef

Brostow, G.J.[Gabriel J.], Shotton, J.D.J.[Jamie D.J.], Fauqueur, J.[Julien], Cipolla, R.[Roberto],
Segmentation and Recognition Using Structure from Motion Point Clouds,
ECCV08(I: 44-57).
Springer DOI Link 0810
Might be more a depth segmentation paper. Object segmentation using motion derived 3D data. BibRef

Fradet, M.[Matthieu], Pérez, P.[Patrick], Robert, P.[Philippe],
Semi-automatic Motion Segmentation with Motion Layer Mosaics,
ECCV08(III: 210-223).
Springer DOI Link 0810
BibRef

García, A.[Alvaro], Bescós, J.[Jesús],
Video Object Segmentation Based on Feedback Schemes Guided by a Low-Level Scene Ontology,
ACIVS08(xx-yy).
Springer DOI Link 0810
BibRef

Langs, G.[Georg], Paragios, N.[Nikos],
Modeling the structure of multivariate manifolds: Shape maps,
CVPR08(1-8).
IEEE DOI Link 0806
BibRef

Yoo, Y.S.[Yong-Seok], Park, T.S.[Tae-Suh],
A moving object detection algorithm for smart cameras,
EmbedCV08(1-8).
IEEE DOI Link 0806
BibRef

Monteiro, F.C.[Fernando C.], Campilho, A.[Aurélio],
Region and Graph-Based Motion Segmentation,
ICIAR08(xx-yy).
Springer DOI Link 0806
BibRef

Zhang, G.F.[Guo-Feng], Jia, J.Y.[Jia-Ya], Xiong, W.[Wei], Wong, T.T.[Tien-Tsin], Heng, P.A.[Pheng-Ann], Bao, H.J.[Hu-Jun],
Moving Object Extraction with a Hand-held Camera,
ICCV07(1-8).
IEEE DOI Link 0710
BibRef

Venetianer, P.L., Zhang, Z., Yin, W., Lipton, A.J.,
Stationary target detection using the objectvideo surveillance system,
AVSBS07(242-247).
IEEE DOI Link 0709
BibRef

Guler, S.[Sadiye], Silverstein, J.A.[Jason A.], Pushee, I.H.[Ian H.],
Stationary objects in multiple object tracking,
AVSBS07(248-253).
IEEE DOI Link 0709
BibRef

Jian, Y.D.[Yong-Dian], Chen, C.S.[Chu-Song],
Two-View Motion Segmentation by Mixtures of Dirichlet Process with Model Selection and Outlier Removal,
ICCV07(1-8).
IEEE DOI Link 0710
BibRef

Wei, Z.Y.[Zhao-Yi], Lee, D.J.[Dah-Jye], Jilk, D.[David], Schoenberger, R.[Robert],
Motion Projection for Floating Object Detection,
ISVC07(II: 152-161).
Springer DOI Link 0711
BibRef

Toussaint, M., Willert, V.[Volker], Eggert, J.[Julian], Korner, E.,
Motion Segmentation Using Inference in Dynamic Bayesian Networks,
BMVC07(xx-yy).
PDF Version. 0709
BibRef

Murai, Y.[Yasuhiro], Fujiyoshi, H.[Hironobu], Kanade, T.[Takeo],
Combined Object Detection and Segmentation by Using Space-Time Patches,
ACCV07(I: 915-924).
Springer DOI Link 0711
BibRef

Liu, Z.[Zhou], Chen, W.[Wei], Huang, K.Q.[Kai-Qi], Tan, T.N.[Tie-Niu],
A Probabilistic Framework Based on KDE-GMM hybrid model(KGHM) for Moving Object Segmentation in Dynamic Scenes,
VS08(xx-yy). 0810
BibRef

Zhang, Z.X.[Zhao-Xiang], Cai, Y.H.[Ying-Hao], Huang, K.Q.[Kai-Qi], Tan, T.N.[Tie-Niu],
Real-Time Moving Object Classification with Automatic Scene Division,
ICIP07(V: 149-152).
IEEE DOI Link 0709
BibRef

Huang, K.Q.[Kai-Qi], Wang, L.S.[Liang-Sheng], Tan, T.N.[Tie-Niu],
Detecting and Tracking Distant Objects at Night Based on Human Visual System,
ACCV06(II:822-831).
Springer DOI Link 0601
Measure spatio-temporal contrast change BibRef

Han, M.[Mei], Xu, W.[Wei], Gong, Y.H.[Yi-Hong],
Video Foreground Segmentation Based on Sequential Feature Clustering,
ICPR06(I: 492-496).
WWW Version. 0609
BibRef

Qin, X.K.[Xiao-Ke], Tang, L.[Liang], Zhou, J.[Jie],
Object Extraction by Spatio-Temporal Assembling,
ICIP07(V: 153-156).
IEEE DOI Link 0709
BibRef

Vaudrey, T.[Tobi], Wedel, A.[Andreas], Rabe, C.[Clemens], Klappstein, J.[Jens], Klette, R.[Reinhard],
Evaluation of moving object segmentation comparing 6D-vision and monocular motion constraints,
IVCNZ08(1-6).
IEEE DOI Link 0811
BibRef

Klappstein, J.[Jens], Vaudrey, T.[Tobi], Rabe, C.[Clemens], Wedel, A.[Andreas], Klette, R.[Reinhard],
Moving Object Segmentation Using Optical Flow and Depth Information,
PSIVT09(611-623).
Springer DOI Link 0901
BibRef

Wedel, A.[Andreas], Meißner, A.[Annemarie], Rabe, C.[Clemens], Franke, U.[Uwe], Cremers, D.[Daniel],
Detection and Segmentation of Independently Moving Objects from Dense Scene Flow,
EMMCVPR09(14-27).
Springer DOI Link 0908
BibRef

Wedel, A.[Andreas], Rabe, C.[Clemens], Vaudrey, T.[Tobi], Brox, T.[Thomas], Franke, U.[Uwe], Cremers, D.[Daniel],
Efficient Dense Scene Flow from Sparse or Dense Stereo Data,
ECCV08(I: 739-751).
Springer DOI Link 0810
See also Video Super Resolution Using Duality Based TV-L1 Optical Flow. BibRef

Wedel, A., Pock, T., Braun, J., Franke, U., Cremers, D.,
Duality TV-L1 flow with fundamental matrix prior,
IVCNZ08(1-6).
IEEE DOI Link 0811
BibRef

Klappstein, J.[Jens], Stein, F.[Fridtjof], Franke, U.[Uwe],
Detectability of Moving Objects Using Correspondences over Two and Three Frames,
DAGM07(112-121).
Springer DOI Link 0709
BibRef

Dewan, M.A.A.[M. Ali Akber], Hossain, M.J.[M. Julius], Chae, O.[Oksam],
Background Independent Moving Object Segmentation Using Edge Similarity Measure,
ICIAR07(318-329).
Springer DOI Link 0708
BibRef

Imamura, K.[Kousuke], Hiraoka, M.[Masaki], Hashimoto, H.[Hideo],
Watershed algorithm for moving object extraction considering energy minimization by snakes,
AVSBS07(534-539).
IEEE DOI Link 0709
BibRef
And:
Moving Object Extraction by Watershed Algorithm Considering Energy Minimization,
ACIVS07(711-719).
Springer DOI Link 0708
BibRef

Verbeke, N.[Nicolas], Vincent, N.[Nicole],
A PCA-Based Technique to Detect Moving Objects,
SCIA07(641-650).
Springer DOI Link 0706
BibRef

Lee, D.G.[Dong-Gyu], Han, S.Y.[Su-Young],
Shape Preserving Hierarchical Triangular Mesh for Motion Estimation,
PSIVT06(929-938).
Springer DOI Link 0612
Motion detection, change the mesh. BibRef

Direkoglu, C.[Cem], Nixon, M.S.[Mark S.],
Image-Based Multiscale Shape Description Using Gaussian Filter,
ICCVGIP08(673-678).
IEEE DOI Link 0812
BibRef
And:
Shape Extraction Via Heat Flow Analogy,
ACIVS07(553-564).
Springer DOI Link 0708
BibRef
Earlier:
Low Level Moving-Feature Extraction Via Heat Flow Analogy,
ISVC06(I: 243-252).
Springer DOI Link 0611
BibRef

Park, S.Y.[Soon-Yong], Moon, J.Y.[Jaek-Young], Park, C.J.[Chang-Joon], Lee, I.H.[In-Ho],
Moving Object Removal Based on Global Feature Registration,
ACIVS06(275-286).
Springer DOI Link 0609
BibRef

Galmar, E.[Eric], Huet, B.[Benoit],
Graph-Based Spatio-temporal Region Extraction,
ICIAR06(I: 236-247).
Springer DOI Link 0610
BibRef

Dupont, R.[Romain], Juan, O.[Olivier], Keriven, R.[Renaud],
Robust Segmentation of Hidden Layers in Video Sequences,
ICPR06(III: 75-78).
WWW Version. 0609
BibRef

Wang, X.G.[Xiao-Gang], Tieu, K.[Kinh], Grimson, W.E.L.[W. Eric L.],
Learning Semantic Scene Models by Trajectory Analysis,
ECCV06(III: 110-123).
Springer DOI Link 0608
BibRef
And: CSAIL-2006-008, February 2006.
WWW Version. Segment using long-term trajectories. BibRef

Yamazaki, M.[Masaki], Xu, G.[Gang], Chen, Y.W.[Yen-Wei],
Detection of Moving Objects by Independent Component Analysis,
ACCV06(II:467-478).
Springer DOI Link 0601
See also Separating Reflections from Images Using Kernel Independent Component Analysis. BibRef

Wang, J.[Jia], Wang, H.F.[Hai-Feng], Liu, Q.S.[Qing-Shan], Lu, H.Q.[Han-Qing],
Automatic Moving Object Segmentation with Accurate Boundaries,
ACCV06(I:276-285).
Springer DOI Link 0601
BibRef

Liu, Y.Z.[Ya-Zhou], Gao, W.[Wen], Yao, H.X.[Hong-Xun], Liu, S.H.[Shao-Hui], Wang, L.J.[Li-Jun],
Fast Moving Region Detection Scheme in Ad Hoc Sensor Network,
ICIAR04(II: 520-527).
WWW Version. 0409
BibRef

Carminati, L., Benois-Pineau, J.,
Gaussian Mixture Classification for Moving Object Detection in Video Surveillance Environment,
ICIP05(III: 113-116).
IEEE DOI Link 0512
BibRef

Dupont, R.[Romain], Paragios, N.[Nikos], Keriven, R.[Renaud], Fuchs, P.[Phillipe],
Extraction of Layers of Similar Motion Through Combinatorial Techniques,
EMMCVPR05(220-234).
Springer DOI Link 0601
BibRef

Solomon, J., Butman, J.A., Sood, A.,
Segmentation of Objects in Temporal Images Using the Hidden Markov Model,
ICIP05(I: 1-4).
IEEE DOI Link 0512
BibRef

Yu, H.C.[Hong-Chuan], Bennamoun, M.,
A Phase Correlation Approach to Active Vision,
CAIP05(57).
Springer DOI Link 0509
Motion of object and background. BibRef

Wang, Y.[Yang], Ji, Q.A.[Qi-Ang],
A Dynamic Conditional Random Field Model for Object Segmentation in Image Sequences,
CVPR05(I: 264-270).
IEEE DOI Link 0507
BibRef

Al-Mazeed, A.[Ahmad], Nixon, M.S.[Mark S.], Gunn, S.R.[Steve R.],
Classifiers Combination for Improved Motion Segmentation,
ICIAR04(II: 363-371).
WWW Version. 0409
BibRef

Barbu, A.[Adrian], Zhu, S.C.[Song Chun],
On the Relationship Between Image and Motion Segmentation,
SCVMA04(51-63).
Springer DOI Link 0405
BibRef

Kahl, F.[Fredrik], Hartley, R.I.[Richard I.], Hilsenstein, V.[Volker],
Novelty Detection in Image Sequences with Dynamic Background,
SMVP04(117-128).
WWW Version. 0505
BibRef

Xu, M.[Min], Niu, R.[Ruixin], Varshney, P.K.,
Detection and tracking of moving objects in image sequences with varying illumination,
ICIP04(IV: 2595-2598).
IEEE DOI Link 0505
BibRef

Micheloni, C.[Christian], Foresti, G.L.[Gian Luca], Alberti, E.,
A new feature clustering method for object detection with an active camera,
ICIP04(IV: 2587-2590).
IEEE DOI Link 0505
BibRef

Woelk, F.[Felix], Koch, R.[Reinhard],
Fast Monocular Bayesian Detection of Independently Moving Objects by a Moving Observer,
DAGM04(27-35).
WWW Version. 0505
BibRef

Kaempchen, N.[Nico], Zocholl, M.[Markus], Dietmayer, K.C.J.[Klaus C.J.],
Spatio-temporal Segmentation Using Laser-scanner and Video Sequences,
DAGM04(367-374).
WWW Version. 0505
BibRef

Wildenauer, H.[Horst], Blauensteiner, P.[Philipp], Hanbury, A.[Allan], Kampel, M.[Martin],
Motion Detection Using an Improved Colour Model,
ISVC06(II: 607-616).
Springer DOI Link 0611
BibRef

Mármol, S.B.L.[Salvador B. López], Artner, N.M.[Nicole M.], Ion, A.[Adrian], Kropatsch, W.G.[Walter G.], Beleznai, C.[Csaba],
Video Object Segmentation Using Graphs,
CIARP08(733-740).
Springer DOI Link 0809
BibRef

Marchadier, J.[Jocelyn], Kropatsch, W.G.[Walter G.], Hanbury, A.[Allan],
The Redundancy Pyramid and Its Application to Segmentation on an Image Sequence,
DAGM04(432-439).
WWW Version. 0505
BibRef

Chen, M.L.[Mao-Lin], Ma, G.[Gengyu], Kee, S.C.[Seok-Cheol],
Pixels Classification for Moving Object Extraction,
Motion05(II: 44-49).
WWW Version. 0502
BibRef

Myerscough, P.J., Nixon, M.S.,
Estimating the phase congruency of localised frequencies,
ICIP04(I: 275-278).
IEEE DOI Link 0505
BibRef
And:
Temporal phase congruency,
Southwest04(76-79).
IEEE Abstract. IEEE Top Reference. 0411
Moving feature detector. BibRef

Tweed, D.,
Estimating rigid motions via the conformal model of Euclidean space,
ICPR04(II: 171-174).
IEEE DOI Link 0409
BibRef

Nair, V., Clark, J.J.,
An unsupervised, online learning framework for moving object detection,
CVPR04(II: 317-324).
IEEE Abstract. IEEE Top Reference. 0408
BibRef

Fan, Z.M.[Zhi-Min], Zhou, J.[Jie], Wu, Y.[Ying],
Multibody motion segmentation based on simulated annealing,
CVPR04(I: 776-781).
IEEE Abstract. IEEE Top Reference. 0408
BibRef

Toth, D., Aach, T.,
Detection and recognition of moving objects using statistical motion detection and Fourier descriptors,
CIAP03(430-435).
IEEE Abstract. IEEE Top Reference. 0310
BibRef

Kim, D.H.[Dae-Hee], Ahn, C.H.[Chung-Hyun], No, Y.S.[Yo-Sung],
Video segmentation using vector-valued diffusion and clustering,
ICIP03(I: 989-992).
IEEE Abstract. IEEE Top Reference. 0312
BibRef

Rousson, M., Deriche, R.,
A variational framework for active and adaptative segmentation of vector valued images,
Motion02(56-61).
IEEE Abstract. IEEE Top Reference. 0303
BibRef

Li, N.[Na], Bu, J.J.[Jia-Jun], Chen, C.[Chun],
Real-time video object segmentation using HSV space,
ICIP02(II: 85-88).
IEEE Abstract. IEEE Top Reference. 0210
BibRef

Porikli, F.M.[Fatih Murat],
Object Segmentation of Color Video Sequences,
CAIP01(610 ff.).
HTML Version. 0210
BibRef

Porikli, F.M., Wang, Y.,
An Unsupervised Multi-resolution Object Extraction Algorithm Using Video-cube,
ICIP01(II: 359-362).
IEEE Abstract. IEEE Top Reference. 0108
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Dahyot, R., Charbonnier, P., Heitz, F.,
Unsupervised Statistical Detection of Changing Objects in Camera-in-motion Video,
ICIP01(I: 638-641).
IEEE Abstract. IEEE Top Reference. 0108
BibRef

Yoshida, T., Shimosato, T.,
Motion Image Segmentation Using 3-d Watershed Algorithm,
ICIP01(II: 773-776).
IEEE Abstract. IEEE Top Reference. 0108
BibRef

Frazier, J., and Nevatia, R.,
Detecting Moving Objects from a Moving Platform,
DARPA90(348-355). BibRef 9000 USC Computer VisionUsed the CLM (of Jain) and an estimate of the FOE to find moving regions in the image. BibRef

Yamada, A.[Akio], Ohta, M.[Mutsumi],
A Study of Region Partitioning Using Reciprocal Estimation of Region Models and Pixel Motion,
ICIP99(I:1-5).
IEEE Abstract. IEEE Top Reference. BibRef 9900

Kim, C.I.[Changick I.], Hwang, J.N.[Jenq-Neng],
A Fast and Robust Moving Object Segmentation in Video Sequences,
ICIP99(II:131-134).
IEEE Abstract. IEEE Top Reference. BibRef 9900

Murphey, Y.L., Lu, H., Lakshmanan, S., Karlsen, R.E., Gerhart, G.R., Meitzler, T.J.,
Dyta: an intelligent system for moving target detection,
CIAP99(1116-1121).
IEEE DOI Link 9909
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de Smet, P., and de Vleeschauwer, D.,
Motion-Based Segmentation Using a Thresholded Merging Strategy on Watershed Segments,
ICIP97(II: 490-493).
IEEE DOI Link BibRef 9700

Csillag, P., and Boroczky, L.,
Iterative Motion-Based Segmentation for Object-Based Video Coding,
ICIP97(I: 73-76).
IEEE DOI Link BibRef 9700

Yip, H.M.[Hoi-Man], Pong, T.C.[Ting-Chuen],
Detection of moving objects using a spatiotemporal representation,
ICPR96(I: 483-487).
IEEE DOI Link 9608
(The Hong Kong Univ., HK) BibRef

Hoetter, M., Mester, R., Meyer, M.,
Detection of Moving Objects Using a Robust Displacement Estimation Including a Statistical Error Analysis,
ICPR96(IV: 249-255).
IEEE DOI Link 9608
(Robert Bosch GmbH, D) BibRef

James, P.D., Spann, M.,
Multiresolution Motion Estimation/Segmentation Incorporating Feature Correspondence and Optical Flow,
BMVC95(xx-yy).
PDF Version. 9509
BibRef

Xiong, W.[Wei], Graffigne, C.,
A hierarchical method for detection of moving objects,
ICIP94(II: 795-799).
IEEE DOI Link 9411
BibRef

Cloutier, L., Mitiche, A., Bouthemy, P.,
Segmentation and estimation of image motion by a robust method,
ICIP94(II: 805-809).
IEEE DOI Link 9411
BibRef

Ayer, S., Schroeter, P., Bigün, J.,
Segmentation of Moving Objects by Robust Motion Parameter Estimation over Multiple Frames,
ECCV94(B:316-327).
Springer DOI Link BibRef 9400

Ayer, S.[Serge],
Sequential and Competitive Methods for the Estimation of Multiple Motions,
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Hirai, T., Sasakawa, K., Kuroda, S., Ikebata, S.,
Detection of small moving object by optical flow,
ICPR92(II:474-478).
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Anbalagan, R.S., Hu, G., Jain, A.K.,
A segmentation and object extraction algorithm with linear memory and time constraints,
ICPR88(I: 596-600).
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Darmon, C.A.,
A New Recursive Method to Detect Moving Objects in a Sequence of Images,
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Bers, K.H., Bohner, M., Gerlach, H.,
Object Detection in Image Sequences,
ICPR80(1317-1319). BibRef 8000

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