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Adaptive Patch-Based Background Modelling for Improved Foreground
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Earlier: A1, A2, A4, A5, Only:
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Earlier: A1, A2, Only:
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Tracking-based non-parametric background-foreground classification in a
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Learning a Sparse, Corner-Based Representation for Time-varying
Background Modeling,
ICCV05(I: 678-685).
IEEE DOI Link
0510
BibRef
Moreno-Noguer, F.[Francesc],
Sanfeliu, A.[Alberto],
Samaras, D.[Dimitris],
Integration of Conditionally Dependent Object Features for Robust
Figure/Background Segmentation,
ICCV05(II: 1713-1720).
IEEE DOI Link
0510
See also Dependent Multiple Cue Integration for Robust Tracking. See also Integration of deformable contours and a multiple hypotheses Fisher color model for robust tracking in varying illuminant environments.
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Sanfeliu, A.,
Integration of shape and a multihypotheses fisher color model for
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IEEE DOI Link
0409
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Zach, C.[Christopher],
Sormann, M.[Mario],
Karner, K.[Konrad],
High-Performance Multi-View Reconstruction,
3DPVT06(113-120).
IEEE DOI Link
0606
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Sormann, M.[Mario],
Zach, C.[Christopher],
Bauer, J.[Joachim],
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Bischof, H.[Horst],
Automatic Foreground Propagation in Image Sequences for 3D
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DAGM05(93).
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Kayafas, E.,
A block-based clustering technique for real time object detection
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ICIS04(I: 169-173).
IEEE Abstract. Refine block based extraction.
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Zhang, J.S.[Jia-Shu],
Zhang, L., and
Tai, H.M.[Heng-Ming],
Efficient video object segmentation using adaptive background registration
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ICME04(II: 1467-1470).
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Tian, Y.L.[Ying-Li],
Lu, M.[Max],
Hampapur, A.[Arun],
Robust and Efficient Foreground Analysis for Real-Time Video
Surveillance,
CVPR05(I: 1182-1187).
IEEE DOI Link
0507
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Ozden, K.E.,
Van Gool, L.J.,
Background Recognition in Dynamic Scenes with Motion Constraints,
CVPR05(I: 250-255).
IEEE DOI Link
0507
BibRef
Piccurdi, M.,
Jan, T.,
Mean-shift background image modelling,
ICIP04(V: 3399-3402).
IEEE DOI Link
0505
BibRef
Yoshida, T.,
Background differencing technique for image segmentation based on the
status of reference pixels,
ICIP04(V: 3487-3490).
IEEE DOI Link
0505
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Shao, J.[Jie],
Zhou, S.K.,
Chellappa, R.,
Simultaneous background and foreground modeling for tracking in
surveillance video,
ICIP04(II: 1053-1056).
IEEE DOI Link
0505
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Zhou, Y.[Yue],
Xu, W.[Wei],
Tao, H.[Hai],
Gong, Y.H.[Yi-Hong],
Background Segmentation Using Spatial-Temporal Multi-Resolution MRF,
Motion05(II: 8-13).
IEEE DOI Link
0502
BibRef
Zhou, Y.[Yue],
Tao, H.[Hai],
A background layer model for object tracking through occlusion,
ICCV03(1079-1085).
IEEE DOI Link
0311
BibRef
Tsai, Y.P.[Yu-Pao],
Hung, Y.P.[Yi-Ping],
Shih, Z.C.[Zen-Chung],
Su, J.J.[Jin-Jen],
Tsai, S.R.[Shang-Ru],
Background removal system for object movies,
ICPR04(I: 608-611).
IEEE DOI Link
0409
BibRef
Farin, D.,
de With, P.H.N.,
Effelsberg, W.,
Robust background estimation for complex video sequences,
ICIP03(I: 145-148).
IEEE Abstract.
0312
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Mitiche, A.,
Dolla, F.,
Motion-based figure-ground segmentation by maximum motion separation,
ICIP03(III: 925-928).
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0312
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Lee, D.S.[Dar-Shyang],
Hull, J.J.,
Erol, B.,
A Bayesian framework for Gaussian mixture background modeling,
ICIP03(III: 973-976).
IEEE Abstract.
0312
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Ablavsky, V.,
Background models for tracking objects in water,
ICIP03(III: 125-128).
IEEE Abstract.
0312
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Cristani, M.,
Bicego, M.,
Murino, V.,
Integrated region- and pixel-based approach to background modelling,
Motion02(3-8).
IEEE Abstract.
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See also Unsupervised scene analysis: A hidden Markov model approach.
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Lin, H.H.[Horng-Horng],
Liu, T.L.[Tyng-Luh],
Chuang, J.H.[Jen-Hui],
A probabilistic SVM approach for background scene initialization,
ICIP02(III: 893-896).
IEEE Abstract.
0210
See also Direct Energy Minimization for Super-Resolution on Nonlinear Manifolds.
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Nordlund, P.[Peter],
Eklundh, J.O.[Jan-Olof],
Real-Time Maintenance of Figure-Ground Segmentation,
CVS99(115 ff.).
HTML Version.
0209
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Gustafsson, U.,
Haglund, L.,
Andersson, I.,
Target Detection and Background Suppression using Quadrature Pyramid
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SCIA01(P-W5).
0206
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Harville, M.[Michael],
A Framework for High-Level Feedback to Adaptive, Per-Pixel,
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ECCV02(III: 543 ff.).
HTML Version.
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Gordon, G.G.,
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Adaptive Video Background Modeling Using Color and Depth,
ICIP01(III: 90-93).
IEEE Abstract.
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Gao, D.S.,
Zhou, J.,
Xin, L.P.,
A Novel Algorithm of Adaptive Background Estimation,
ICIP01(II: 395-398).
IEEE Abstract.
0108
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Darrell, T.J.[Trevor J.],
Demirdjian, D.[David],
Checka, N.[Neal],
Felzenszwalb, P.F.[Pedro F.],
Plan-View Trajectory Estimation with Dense Stereo Background Models,
ICCV01(II: 628-635).
IEEE DOI Link
0106
BibRef
And:
MIT AI Memo-2001-001, February 2001.
WWW Version.
0105
Derive a 3-D model for the background to use in foreground tracking.
BibRef
Stenger, B.[Bjoern],
Ramesh, V.[Visvanathan],
Paragios, N.[Nikos],
Coetzee, F.[Frans],
Buhmann, J.M.[Joachim M.],
Topology Free Hidden Markov Models: Application to Background Modeling,
ICCV01(I: 294-301).
IEEE DOI Link
0106
BibRef
Gao, X.[Xiang],
Boult, T.E.,
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Error Analysis of Background Adaption,
CVPR00(I: 503-510).
IEEE Abstract.
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0005
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Qian, R.J.[Richard J.],
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Video Background Replacement Without A Blue Screen,
ICIP99(IV:143-146).
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Csurka, G.,
Bouthemy, P.,
Direct Identification of Moving Objects and Background from 2D Motion
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ICCV99(566-571).
IEEE DOI Link
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Eveland, C.K.[Christopher K.],
Konolige, K.G.[Kurt G.],
Bolles, R.C.[Robert C.],
Background Modeling for Segmentation of Video-rate Stereo Sequences,
CVPR98(266-271).
IEEE Abstract.
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Toyama, K.,
Krumm, J.,
Brumitt, B.,
Meyers, B.,
Wallflower: Principles and Practice of Background Maintenance,
ICCV99(255-261).
IEEE DOI Link
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9900
Martins, F.C.M.[Fernando C.M.],
Nickerson, B.R.[Brian R.],
Bostrom, V.S.[Vareck S.],
Hazra, R.[Rajeeb],
Implementation of a Real-time Foreground/Background Segmentation System
on the Intel Architecture,
Frame-Rate99(xx-yy).
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Martins, I.,
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A video coder using 3-D model based background for video surveillance
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ICIP98(II: 919-923).
IEEE DOI Link
9810
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Hwang, T.L.,
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On local detection of moving edges,
ICPR90(I: 180-184).
IEEE DOI Link
9006
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Chen, S.,
Li, Z.,
Zhang, G.,
A Renovated Algorithm for Extracting Moving Target from Background in
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ICPR88(II: 646-648).
IEEE DOI Link
IEEE Top Reference.
BibRef
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Chapter on Motion Analysis --Low-Level, Image Level Analysis, Mosaic Generation, Super Resolution, Shape from Motion continues in
Background Models, Textured Surfaces, Regions .