18.3.4 Extract Moving Objects from Sequences or Video

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.,
Detecting Moving Objects,
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

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

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
BibRef
Earlier:
The Velocity Hough Transform: A New Technique for Dynamic Feature Extraction,
ICIP97(II: 386-389).
IEEE DOI Link BibRef

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.
Elsevier DOI Link 0201
BibRef
Earlier:
Object Tracking Via the Dynamic Velocity Hough Transform,
ICIP01(II: 371-374).
IEEE Abstract. 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,
IP(12), No. 4, April 2003, pp. 395-408.
IEEE DOI Link 0306
BibRef

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. 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.
IEEE DOI Link 0001
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.
HTML Version. 0103
See also Fast image segmentation based on multi-resolution analysis and wavelets. BibRef

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 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],
A histogram-based moment-preserving clustering algorithm for video segmentation,
PRL(24), No. 14, October 2003, pp. 2209-2218.
WWW Version. 0307
BibRef

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
WWW Version. BibRef 0406

Yang, G.B.[Gao-Bo], Yu, S.F.[Sheng-Fa],
Modified intelligent scissors and adaptive frame skipping for video object segmentation,
RealTimeImg(11), No. 4, August 2005, pp. 310-322.
WWW Version. 0508
BibRef

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
And: US_Patent7,292,633, Nov 6, 2007
WWW Version. BibRef

Liu, Y., Zheng, Y.F.,
Video Object Segmentation and Tracking Using psi-Learning Classification,
CirSysVideo(15), No. 7, July 2005, pp. 885-899.
IEEE DOI Link 0508
BibRef

Zhang, X.P.[Xiao-Ping], Chen, Z.[Zhenhe],
An Automated Video Object Extraction System Based on Spatiotemporal Independent Component Analysis and Multiscale Segmentation,
JASP(2006), 2006, pp. 1-22.
WWW Version. 0603
BibRef

Chiu, S.[Shen],
Application of Fractional Fourier Transform to Moving Target Indication via Along-Track Interferometry,
JASP(2005), No. 20, 2005, pp. 3293-3303.
WWW Version. 0603
BibRef

Shen, C.F.[Chun-Feng], Lin, X.Y.[Xue-Yin], Shi, Y.C.[Yuan-Chun],
Moving object tracking under varying illumination conditions,
PRL(27), No. 14, 15 October 2006, pp. 1632-1643.
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 in the Presence of Outlying, Incomplete, or Corrupted Trajectories,
PAMI(32), No. 10, October 2010, pp. 1832-1845.
IEEE DOI Link 1008
Code, Motion Segmentation. BibRef
Earlier:
Motion segmentation via robust subspace separation in the presence of outlying, incomplete, or corrupted trajectories,
CVPR08(1-8).
IEEE DOI Link 0806
Segmenting tracked trajectories, occlusions, deformations lead to problems. Develop robust separation scheme to deal with these issues. Related to lossy compression. Code is available.
WWW Version. 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. 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,
CVPR03(II: 281-286).
IEEE Abstract. 0307
BibRef
Earlier:
Segmentation of dynamic scenes from image intensities,
Motion02(44-49).
IEEE Abstract. 0303
BibRef

Comaniciu, D.[Dorin], del Bue, A.[Alessio], Ramesh, V.[Visvanathan],
Real-time video object generation for smart cameras,
US_Patent7,167,519, January 23, 2007.
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).
IEEE Abstract. 0210
BibRef

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,
JVCIR(18), No. 3, June 2007, pp. 275-290.
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,
US_Patent7,167,576, Jan 23, 2007
WWW Version. BibRef 0701

Garoutte, M.V.[Maurice V.],
Video analysis using segmentation gain by area,
US_Patent7,218,756, May 15, 2007
WWW Version. BibRef 0705

Dosil, R.[Raquel], Fdez-Vidal, X.R.[Xose R.], Pardo, X.M.[Xose M.],
Motion representation using composite energy features,
PR(41), No. 3, March 2008, pp. 1110-1123.
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
BibRef

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
BibRef

Vázquez, C.[Carlos], Ghazal, M.[Mohammed], Amer, A.[Aishy],
Feature-based detection and correction of occlusions and split of video objects,
SIViP(3), No. 1, January 2009, pp. xx-yy.
Springer DOI Link 0902
Address occlusions and object splitting. BibRef

Pundlik, S.J.[Shrinivas J.], Birchfield, S.T.[Stanley T.],
Real-Time Motion Segmentation of Sparse Feature Points at Any Speed,
SMC-B(37), No. 3, June 2007, pp. 731-742.
IEEE DOI Link 0711
BibRef
Earlier:
Motion Segmentation at Any Speed,
BMVC06(I:427).
PDF Version. 0609
BibRef

Pundlik, S.J.[Shrinivas J.], Birchfield, S.T.[Stanley T.],
Motion-Based View-Invariant Articulated Motion Detection and Pose Estimation Using Sparse Point Features,
ISVC09(I: 425-434).
Springer DOI Link 0911
BibRef
Earlier:
Joint tracking of features and edges,
CVPR08(1-6).
IEEE DOI Link 0806
BibRef

Yang, H.[Hong], Tian, J.W.[Jin-Wen], Chu, Y., Tang, Q., Liu, J.[Jian],
Spatiotemporal Smooth Models for Moving Object Detection,
SPLetters(15), No. 1, 2008, pp. 497-500.
IEEE DOI Link 0806
BibRef

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
BibRef

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.
WWW Version. 0511
See also Robust 3D Reconstruction with Outliers Using RANSAC Based Singular Value Decomposition. BibRef

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
BibRef
Earlier:
Matching and Interpretation of Planar Motion Using Tensor Voting,
PercOrg04(57).
IEEE DOI Link 0502
See also Tensor Voting Accelerated by Graphics Processing Units (GPU). BibRef

Dinh, T.B.[Thang B.], Medioni, G.[Gerard],
Two-Frames Accurate Motion Segmentation Using Tensor Voting and Graph-Cuts,
Motion08(1-8).
IEEE DOI Link
PDF Version. 0801
BibRef

Boltz, S.[Sylvain], Herbulot, A.[Ariane], Debreuve, E.[Eric], Barlaud, M.[Michel], Aubert, G.[Gilles],
Motion and Appearance Nonparametric Joint Entropy for Video Segmentation,
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,
SSVM07(721-732).
Springer DOI Link 0705
See also Joint Appearance and Deformable Shape for Nonparametric Segmentation. See also High-Dimensional Statistical Measure for Region-of-Interest Tracking. BibRef

Garcia, V.[Vincent], Boltz, S.[Sylvain], Debreuve, E.[Eric], Barlaud, M.[Michel],
Outer-Layer Based Tracking using Entropy as a Similarity Measure,
ICIP07(VI: 309-312).
IEEE DOI Link 0709
See also Using the Shape Gradient for Active Contour Segmentation: From the Continuous to the Discrete Formulation. BibRef

Boltz, S., Wolsztynski, E., Debreuve, E., Thierry, E., Barlaud, M., Pronzato, L.,
A Minimum-Entropy Procedure for Robust Motion Estimation,
ICIP06(1249-1252).
IEEE DOI Link 0610
BibRef

Herbulot, A., Boltz, S., Debreuve, E., Barlaud, M.,
Robust Motion-Based Segmentation in Video Sequences using Entropy Estimator,
ICIP06(1853-1856).
IEEE DOI Link 0610
BibRef

Landabaso, J.L.[Jose-Luis], Pardas, M.[Montse],
A Unified Framework for Consistent 2-D/3-D Foreground Object Detection,
CirSysVideo(18), No. 8, August 2008, pp. 1040-1051.
IEEE DOI Link 0809
BibRef

Tsai, D.M.[Du-Ming], Chiu, W.Y.[Wei-Yao],
Motion Detection Using Fourier Image Reconstruction,
PRL(29), No. 16, 1 December 2008, pp. 2145-2155.
WWW Version. 0811
Motion detection; Surveillance; Foreground segmentation; Fourier transforms BibRef

Gryn, J.M.[Jacob M.], Wildes, R.P.[Richard P.], Tsotsos, J.K.[John K.],
Detecting Motion Patterns via Direction Maps with Application to Surveillance,
CVIU(113), No. 2, February 2009, pp. 291-307.
Elsevier DOI Link
WWW Version. 0901
BibRef
And: WACV05(I: 202-209).
IEEE DOI Link 0502
Surveillance; Direction maps; Dominant direction; Event detection; Spatiotemporal analysis; Motion analysis BibRef

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],
Method for extracting object region,
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,
IJCV(82), No. 2, April 2009, pp. xx-yy.
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
See also Detection and Tracking of Multiple, Partially Occluded Humans by Bayesian Combination of Edgelet based Part Detectors. BibRef

Wu, B.[Bo], Nevatia, R.[Ram], Li, Y.[Yuan],
Segmentation of multiple, partially occluded objects by grouping, merging, assigning part detection responses,
CVPR08(1-8).
IEEE DOI Link
PDF Version. 0806
BibRef

Bugeau, A.[Aurelie], Perez, P.[Patrick],
Detection and segmentation of moving objects in complex scenes,
CVIU(113), No. 4, April 2009, pp. 459-476.
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],
Adapted Windows Detection Of Moving Objects In Video Scenes,
SIIMS(2), No. 1, 2009, pp. 1-19. real-time detection; a contrario method; cluster; false alarm; video segmentation
WWW Version.
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
BibRef
And: A1, A3, A2:
Real-time video segmentation,
AVSBS05(382-387).
IEEE DOI Link 0602
BibRef

Barranco, F.[Francisco], Díaz, J.[Javier], Ros, E.[Eduardo], del Pino, B.[Begoña],
Visual System Based on Artificial Retina for Motion Detection,
SMC-B(39), No. 3, June 2009, pp. 752-762.
IEEE DOI Link 0904
BibRef

Mota, S.[Sonia], Ros, E.[Eduardo], Díaz, J.[Javier], Agis, R.[Rodrigo], de Toro, F.[Francisco],
Bio-inspired Motion-Based Object Segmentation,
ICIAR06(I: 196-205).
Springer DOI Link 0610
BibRef

Pan, Z.L.[Zai-Liang], Ngo, C.W.[Chong-Wah],
Moving-Object Detection, Association, and Selection in Home Videos,
MultMed(9), No. 2, February 2007, pp. 268-279.
IEEE DOI Link 0905
BibRef

Pace, C.P.[Charles Paul],
Apparatus and method for processing video data,
US_Patent7,158,680, Jan 2, 2007
WWW Version. Fit between data and parametric model. BibRef 0701

Xu, J.F.[Jian-Feng], Yamasaki, T.[Toshihiko], Aizawa, K.[Kiyoharu],
Temporal Segmentation of 3-D Video by Histogram-Based Feature Vectors,
CirSysVideo(19), No. 6, June 2009, pp. 870-881.
IEEE DOI Link 0906
BibRef
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

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

Guan, Y.P.,
Spatio-temporal motion-based foreground segmentation and shadow suppression,
IET-CV(4), No. 1, March 2010, pp. 50-60.
WWW Version. 1001
BibRef

Porikli, F.M., Bashir, F., Sun, H.F.[Hui-Fang],
Compressed Domain Video Object Segmentation,
CirSysVideo(20), No. 1, January 2010, pp. 2-14.
IEEE DOI Link 1002
BibRef

Fei, W., Zhu, S.,
Mean shift clustering-based moving object segmentation in the H.264 compressed domain,
IET-IPR(4), No. 1, February 2010, pp. 11-18.
WWW Version. 1002
BibRef

Wang, L.[Lu], Yung, N.H.C.[Nelson H.C.],
Extraction of Moving Objects From Their Background Based on Multiple Adaptive Thresholds and Boundary Evaluation,
ITS(11), No. 1, March 2010, pp. 40-51.
IEEE DOI Link 1003
BibRef

Silva da Silva, L., Scharcanski, J.[Jacob],
Video Segmentation Based on Motion Coherence of Particles in a Video Sequence,
IP(19), No. 4, April 2010, pp. 1036-1049.
IEEE DOI Link 1003
BibRef

Jian, Y.D.[Yong-Dian], Chen, C.S.[Chu-Song],
Two-View Motion Segmentation with Model Selection and Outlier Removal by RANSAC-Enhanced Dirichlet Process Mixture Models,
IJCV(88), No. 3, July 2010, pp. xx-yy.
Springer DOI Link 1003
BibRef
Earlier:
Two-View Motion Segmentation by Mixtures of Dirichlet Process with Model Selection and Outlier Removal,
ICCV07(1-8).
IEEE DOI Link 0710
BibRef

Li, Z.[Zhu], Yabuta, K.[Kenichi], Kitazawa, H.[Hitoshi],
Exclusive Block Matching for Moving Object Extraction and Tracking,
IEICE(E93-D), No. 5, May 2010, pp. 1263-1271.
WWW Version. 1006
BibRef
Earlier:
A New Method for Moving Object Extraction and Tracking Based on the Exclusive Block Matching,
PSIVT09(249-260).
Springer DOI Link 0901
BibRef

Engin, E.[Erman], Özcan, M.[Meriç],
Moving target detection using super-resolution algorithms with an ultra wideband radar,
IJIST(20), No. 3, September 2010, pp. 237-244.
WWW Version. 1008
BibRef

Bhaskar, H., Mihaylova, L., Achim, A.,
Video Foreground Detection Based on Symmetric Alpha-Stable Mixture Models,
CirSysVideo(20), No. 8, August 2010, pp. 1133-1138.
IEEE DOI Link 1008
BibRef

Lee, S.[Soochahn], Yun, I.D.[Il Dong], Lee, S.U.[Sang Uk],
Robust bilayer video segmentation by adaptive propagation of global shape and local appearance,
JVCIR(21), No. 7, October 2010, pp. 665-676.
Elsevier DOI Link
WWW Version. 1003
Video segmentation; Shape prior; Local appearance; Adaptive local refinement; Incremental shape set; Adaptive frame propagation; Branch-and-mincut; MRF energy minimization BibRef

Zappella, L.[Luca], Llado, X.[Xavier], Provenzi, E., Salvi, J.[Joaquim],
Enhanced Local Subspace Affinity for feature-based motion segmentation,
PR(44), No. 2, February 2011, pp. 454-470.
Elsevier DOI Link
WWW Version. 1011
BibRef
Earlier: A1, A2, A4, Only:
Enhanced Model Selection for motion segmentation,
ICIP09(4053-4056).
IEEE DOI Link 0911
Motion segmentation; Manifold clustering; Model selection; Cluster number estimation BibRef

Zappella, L.[Luca], Provenzi, E., Lladó, X.[Xavier], Salvi, J.[Joaquim],
Adaptive Motion Segmentation Algorithm Based on the Principal Angles Configuration,
ACCV10(III: 15-26).
Springer DOI Link 1011
BibRef

Zappella, L.[Luca], del Bue, A.[Alessio], Llado, X.[Xavier], Salvi, J.[Joaquim],
Simultaneous motion segmentation and Structure from Motion,
WMVC11(679-684).
IEEE DOI Link 1101
BibRef

Appiah, K.[Kofi], Hunter, A.[Andrew], Dickinson, P.[Patrick], Meng, H.Y.[Hong-Ying],
Accelerated hardware video object segmentation: From foreground detection to connected components labelling,
CVIU(114), No. 11, November 2010, pp. 1282-1291.
Elsevier DOI Link
WWW Version. 1011
Background differencing; Image segmentation; Connected component labelling; Object extraction; FPGA BibRef

Kumar, A.[Avin], Li, B.X.[Bao-Xin],
On implementing motion-based Region of Interest detection on multi-core CELL,
CVIU(114), No. 11, November 2010, pp. 1139-1151.
Elsevier DOI Link
WWW Version. 1011
Region of Interest detection; Global motion estimation; Multi-core CELL; Real-time object detection BibRef

Xu, F.[Feng], Lam, K.M.[Kin-Man], Dai, Q.H.[Qiong-Hai],
Video-object segmentation and 3D-trajectory estimation for monocular video sequences,
IVC(29), No. 2-3, February 2011, pp. 190-205.
Elsevier DOI Link
WWW Version. 1101
2D-to-3D video conversion; 3D trajectory estimation; Video-object segmentation BibRef

Direkoglu, C.[Cem], Nixon, M.S.[Mark S.],
Moving-edge detection via heat flow analogy,
PRL(32), No. 2, 15 January 2011, pp. 270-279.
Elsevier DOI Link
WWW Version. 1101
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
Moving-edges; Feature extraction; Image processing; Computer vision; Heat flow BibRef

Direkoglu, C.[Cem], Nixon, M.S.[Mark S.],
Shape classification via image-based multiscale description,
PR(44), No. 9, September 2011, pp. 2134-2146.
Elsevier DOI Link
WWW Version. 1106
BibRef
Earlier:
Image-Based Multiscale Shape Description Using Gaussian Filter,
ICCVGIP08(673-678).
IEEE DOI Link 0812
Shape classification; Fourier-based description; Multiscale representation; Gaussian filter; Feature extraction; Computer vision BibRef

Park, J.H.[Jong-Hyun], Cho, W.H.[Wan-Hyun], Lee, G.S.[Guee-Sang], Park, S.Y.[Soon-Young],
Moving Object Detection Based on Clausius Entropy,
IEICE(E94-D), No. 2, February 2011, pp. 388-391.
WWW Version. 1102
BibRef

Xu, J.[Jiang], Yuan, J.S.[Jun-Song], Wu, Y.[Ying],
Learning spatio-temporal dependency of local patches for complex motion segmentation,
CVIU(115), No. 3, March 2011, pp. 334-351.
Elsevier DOI Link
WWW Version. 1103
Motion segmentation; Learning; Motion profile symmetry correlation; Bipolar segmentation BibRef

Subudhi, B.N.[Badri Narayan], Nanda, P.K.[Pradipta Kumar], Ghosh, A.[Ashish],
A Change Information Based Fast Algorithm for Video Object Detection and Tracking,
CirSysVideo(21), No. 7, July 2011, pp. 993-1004.
IEEE DOI Link 1107
BibRef

Subudhi, B.N.[Badri Narayan], Nanda, P.K.[Pradipta Kumar], Ghosh, A.[Ashish],
Entropy based region selection for moving object detection,
PRL(32), No. 15, 1 November 2011, pp. 2097-2108.
Elsevier DOI Link
WWW Version. 1112
Object detection; MAP estimation; Simulated annealing; Entropy; Thresholding; Gaussian distribution 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

Panda, S.[Sucheta], Nanda, P.K.,
Unsupervised Color Image Segmentation Using Compound Markov Random Field Model,
PReMI09(291-296).
Springer DOI Link 0912
BibRef

Wedel, A.[Andreas], Brox, T.[Thomas], Vaudrey, T.[Tobi], Rabe, C.[Clemens], Franke, U.[Uwe], Cremers, D.[Daniel],
Stereoscopic Scene Flow Computation for 3D Motion Understanding,
IJCV(95), No. 1, October 2011, pp. 29-51.
WWW Version. 1108
BibRef
Earlier: A1, A4, A3, A2, A5, A6:
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

Ochs, P.[Peter], Brox, T.[Thomas],
Object segmentation in video: A hierarchical variational approach for turning point trajectories into dense regions,
ICCV11(1583-1590).
IEEE DOI Link 1201
BibRef

Wedel, A.[Andreas], Cremers, D.[Daniel],
Stereo Scene Flow for 3D Motion Analysis,
Springer2011. ISBN: 978-0-85729-964-2.
WWW Version. 1109
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], 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
Earlier: A2, A4, A3, A1, A5:
Evaluation of moving object segmentation comparing 6D-vision and monocular motion constraints,
IVCNZ08(1-6).
IEEE DOI Link 0811
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

Brox, T.[Thomas], Malik, J.[Jitendra],
Object Segmentation by Long Term Analysis of Point Trajectories,
ECCV10(V: 282-295).
Springer DOI Link 1009
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

Choi, J.M.[Jin-Min], Chang, H.J.[Hyung Jin], Yoo, Y.J.[Yung Jun], Choi, J.Y.[Jin Young],
Robust moving object detection against fast illumination change,
CVIU(116), No. 2, February 2012, pp. 179-193.
Elsevier DOI Link
WWW Version. 1201
Illumination change; Auto-exposure; Chromaticity difference model; Brightness ratio model BibRef

Wang, Y.Y.[Yi-Ying], Lee, C.H.[Chia-Han],
Segmentation by temporal detection integration,
ICIP11(3125-3128).
IEEE DOI Link 1201
BibRef

Tian, Z.Q.[Zhi-Qiang], Xue, J.R.[Jian-Ru], Zheng, N.N.[Nan-Ning], Lan, X.G.[Xu-Guang], Li, C.[Ce],
3D spatio-temporal graph cuts for video objects segmentation,
ICIP11(2393-2396).
IEEE DOI Link 1201
BibRef

Mondal, A.[Ajoy], Ghosh, S.[Susmita], Ghosh, A.[Ashish],
Distributed differential evolution algorithm for MAP estimation of MRF model for detecting moving objects,
ICIIP11(1-6).
IEEE DOI Link 1112
BibRef

Hui, Z.[Zhao], Xiangju, S.[Sun], Caihong, M.[Meng],
Moving object detection based on T-test combined with kirsch operator,
IASP11(199-203).
IEEE DOI Link 1112
BibRef

Kundu, A.[Abhijit], Krishna, K.M.[K. Madhava], Jawahar, C.V.,
Realtime multibody visual SLAM with a smoothly moving monocular camera,
ICCV11(2080-2087).
IEEE DOI Link 1201
BibRef
Earlier:
Realtime motion segmentation based multibody visual SLAM,
ICCVGIP10(251-258).
WWW Version. 1111
BibRef

Lalos, C.[Constantinos], Grabner, H.[Helmut], Van Gool, L.J.[Luc J.], Varvarigou, T.A.[Theodora A.],
Object Flow: Learning Object Displacement,
VS10(133-142).
Springer DOI Link 1109
BibRef

Liu, H.[Hunaxi], Yan, J.[Junchi], Zhu, J.[Jun], Lv, X.W.[Xiao-Wei], Li, X.[Xiong], Zhu, T.H.[Tian-Hong], Liu, Y.C.[Yun-Cai],
A Double-Layer Model for Foreground Detection from Video Sequence,
ICIG11(517-520).
IEEE DOI Link 1109
BibRef

Xu, J.[Jie], Wang, Y.[Yang], Wang, W.[Wei], Yang, J.[Jun], Li, Z.D.[Zhi-Dong],
Unsupervised Moving Object Detection with On-line Generalized Hough Transform,
ACCV10(III: 145-156).
Springer DOI Link 1011
See also Spatial-Temporal Affinity Propagation for Feature Clustering with Application to Traffic Video Analysis. BibRef

Ding, J.W.[Jian-Wei], Li, M.[Min], Huang, K.Q.[Kai-Qi], Tan, T.N.[Tie-Niu],
Modeling Complex Scenes for Accurate Moving Objects Segmentation,
ACCV10(II: 82-94).
Springer DOI Link 1011
BibRef

Chen, A.Y.C.[Albert Y. C.], Corso, J.J.[Jason J.],
Temporally consistent multi-class video-object segmentation with the Video Graph-Shifts algorithm,
WMVC11(614-621).
IEEE DOI Link 1101
BibRef

Xia, Y.[Yang], Hu, R.M.[Rui-Min], Huang, Z.K.[Zhen-Kun], Su, Y.[Yin],
A novel method for generation of motion saliency,
ICIP10(4685-4688).
IEEE DOI Link 1009
BibRef

Huang, C.C.[Ching-Chun], Wang, S.J.[Sheng-Jyh],
A cascaded hierarchical framework for moving object detection and tracking,
ICIP10(4629-4632).
IEEE DOI Link 1009
BibRef

Lu, W.C.[Wang-Chou], Wang, Y.C.F., Chen, C.S.[Chu-Song],
Learning Dense Optical-Flow Trajectory Patterns for Video Object Extraction,
AVSS10(315-322).
IEEE DOI Link 1009
BibRef

Zografos, V.[Vasileios], Nordberg, K.[Klas],
Fast and accurate motion segmentation using Linear Combination of Views,
BMVC11(xx-yy).
HTML Version. 1110
BibRef

Zografos, V.[Vasileios], Nordberg, K.[Klas], Ellis, L.[Liam],
Sparse Motion Segmentation Using Multiple Six-Point Consistencies,
VECTaR10(338-348).
Springer DOI Link 1109
BibRef

Nordberg, K.[Klas], Zografos, V.[Vasileios],
Multibody Motion Segmentation Using the Geometry of 6 Points in 2D Images,
ICPR10(1783-1787).
IEEE DOI Link 1008
BibRef

Boukharouba, K.[Khaled], Bako, L.[Laurent], Lecoeuche, S.[Stephane],
Temporal video segmentation using a switched affine models identification technique,
IPTA10(157-160).
IEEE DOI Link 1007
BibRef

Zhong, F.[Fan], Qin, X.Y.[Xue-Ying], Peng, Q.S.[Qun-Sheng],
Transductive segmentation of live video with non-stationary background,
CVPR10(2189-2196).
IEEE DOI Link 1006
BibRef

Li, R.N.[Ruo-Nan], Chellappa, R.[Rama],
Aligning Spatio-Temporal Signals on a Special Manifold,
ECCV10(V: 547-560).
Springer DOI Link 1009
BibRef
And:
Group motion segmentation using a Spatio-Temporal Driving Force Model,
CVPR10(2038-2045).
IEEE DOI Link 1006
BibRef

Gao, P.[Ping], Sun, X.J.[Xiang-Ju], Wang, W.[Wei],
Moving object detection based on Kirsch operator combined with Optical Flow,
IASP10(620-624).
IEEE DOI Link 1004
BibRef

Wang, Z.J.[Zhi-Jie], Zhang, H.[Hong],
Object Detection with Multiple Motion Models,
ACCV09(III: 183-192).
Springer DOI Link 0909
BibRef

Pinho da Silva, N.[Nuno], Costeira, J.P.[Joaao Paulo],
The Normalized Subspace Inclusion: Robust clustering of motion subspaces,
ICCV09(1444-1450).
IEEE DOI Link 0909
point trajectories for clustering into objects. BibRef

Baugh, G.[Gary], Kokaram, A.[Anil],
Semi-automatic motion based segmentation using long term motion trajectories,
ICIP10(3009-3012).
IEEE DOI Link 1009
BibRef

Ring, D.[Dan], Kokaram, A.[Anil],
Feature-Cut: Video object segmentation through local feature correspondences,
ObjectEvent09(617-624).
IEEE DOI Link 0910
BibRef

Jau, U.L., Teh, C.S.,
Real-Time Object-Based Video Segmentation Using Colour Segmentation and Connected Component Labeling,
IVIC09(110-121).
Springer DOI Link 0911
BibRef

van Essen, G., Marsland, S., Lewis, J.,
Hierarchical block-based image registration for computing multiple image motions,
IVCNZ09(425-430).
IEEE DOI Link 0911
BibRef

Su, S.T.[Shu-Te], Chen, Y.Y.[Yung-Yaw],
Moving Object Segmentation Using Improved Running Gaussian Average Background Model,
DICTA08(24-31).
IEEE DOI Link 0812
BibRef

Hernandez, J.[Josue], Morita, H.[Hiroshi], Nakano-Miytake, M.[Mariko], Perez-Meana, H.[Hector],
Movement Detection and Tracking Using Video Frames,
CIARP09(1054-1061).
Springer DOI Link 0911
BibRef

Zhang, Z.H.[Zhao-Hui], Chen, R.Q.[Rui-Qing], Lu, H.Q.[Han-Qing], Yan, Y.K.[Yu-Kun], Cui, H.Q.[Hui-Qing],
Moving Foreground Detection Based on Modified Codebook,
CISP09(1-5).
IEEE DOI Link 0910
BibRef

Niu, C.F.[Chang-Feng], Liu, Y.S.[Yu-Shu],
Moving Object Segmentation in the H.264 Compressed Domain,
ACCV09(II: 645-654).
Springer DOI Link 0909
BibRef
And:
Moving Object Segmentation Based on Video Coding Information in H.264 Compressed Domain,
CISP09(1-5).
IEEE DOI Link 0910
BibRef

Yu, Y.H.[Ying-Hao], Ha, Q.P., Kwok, N.M.,
Chip-Based Design for Real-Time Moving Object Detection Using a Digital Camera Module,
CISP09(1-5).
IEEE DOI Link 0910
BibRef

Wang, Y.J.[Yan-Jiang], Suo, P.[Peng], Qi, Y.J.[Yu-Juan],
Memorizing GMM to Handle Sharp Changes in Moving Object Segmentation,
CISP09(1-4).
IEEE DOI Link 0910
BibRef

Zhang, Y.[Yan], Chen, K.[Kai], Wang, H.J.[Hui-Jing], Zhou, Y.[Yi], Guan, H.B.[Hai-Bing],
Two-View Motion Segmentation by Gaussian Blurring Mean Shift with Fitness Measure,
CISP09(1-6).
IEEE DOI Link 0910
BibRef

Guo, C.S.[Chun-Sheng], Wang, P.[Pan],
Adaptive Graph-Cut Algorithm to Video Moving Objects Segmentation,
CISP09(1-5).
IEEE DOI Link 0910
BibRef

Wang, Y.N.[Yan-Ni], Fan, Y.Y.[Yang-Yu],
Adaptive Motion Segmentation Based on Genetic Algorithm,
CISP09(1-4).
IEEE DOI Link 0910
BibRef

Girisha, R., Murali, S.,
Segmentation of motion objects from surveillance video sequences using partial correlation,
ICIP09(1129-1132).
IEEE DOI Link 0911
BibRef
Earlier: A2, A1:
Segmentation of Motion Objects from Surveillance Video Sequences Using Temporal Differencing Combined with Multiple Correlation,
AVSBS09(472-477).
IEEE DOI Link 0909
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], Hoseinnezhad, R.[Reza], Bab-Hadiashar, A.[Alireza],
Conditions for Segmentation of Motion with Affine Fundamental Matrix,
ISVC09(I: 415-424).
Springer DOI Link 0911
BibRef
Earlier: A1, A3, A2:
Conditions for Segmentation of 2D Translations of 3D Objects,
CIAP09(82-91).
Springer DOI Link 0909
BibRef
Earlier: A1, A2, A3:
Limits of Motion-Background Segmentation Using Fundamental Matrix Estimation,
DICTA08(250-256).
IEEE DOI Link 0812
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

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],
Foreground segmentation of live videos using locally competing 1SVMs,
CVPR11(2105-2112).
IEEE DOI Link 1106
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
See also Incorporating estimated motion in real-time background subtraction. 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], Tsai, S.F.[Shen-Fu], Huang, T.S.[Thomas S.],
Base selection in estimating sparse foreground in video,
ICIP09(3217-3220).
IEEE DOI Link 0911
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

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

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

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
See also ObjectVideo. 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

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

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).
IEEE DOI Link 0609
BibRef

Hu, H.[Han], Gu, Q.Q.[Quan-Quan], Deng, L.[Lei], Zhou, J.[Jie],
Multiframe Motion Segmentation via Penalized Map Estimation and Linear Programming,
BMVC09(xx-yy).
PDF Version. 0909
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

Ramirez-Rivera, A.[Adin], Murshed, M.[Mahbub], Chae, O.[Oksam],
Object detection through edge behavior modeling,
AVSBS11(273-278).
IEEE DOI Link 1111
BibRef
And: A2, A1, A3:
Moving Edge Segment Matching for the Detection of Moving Object,
ICIAR11(I: 274-283).
Springer DOI Link 1106
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

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Chapter on Motion Analysis --Low-Level, Image Level Analysis, Mosaic Generation, Super Resolution, Shape from Motion continues in
Moving Object Extraction with Moving Cameras .