18.3.4.4 Graph Cut Motion Segmentation, Background-Foreground Extraction

Chapter Contents (Back)
Object Segmentation. Sequence Analysis. Motion Segmentation. Graph Cut.

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 0903
BibRef
Earlier:
Detection and segmentation of moving objects in highly dynamic scenes,
CVPR07(1-8).
IEEE DOI 0706
Motion detection; Segmentation; Mean shift clustering; Graph cuts 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 1003
Video segmentation; Shape prior; Local appearance; Adaptive local refinement; Incremental shape set; Adaptive frame propagation; Branch-and-mincut; MRF energy minimization BibRef

Schoenemann, T.[Thomas], Cremers, D.[Daniel],
A Coding-Cost Framework for Super-Resolution Motion Layer Decomposition,
IP(21), No. 3, March 2012, pp. 1097-1110.
IEEE DOI 1203
BibRef
Earlier:
High resolution motion layer decomposition using dual-space graph cuts,
CVPR08(1-7).
IEEE DOI 0806
BibRef
Earlier:
Near Real-Time Motion Segmentation Using Graph Cuts,
DAGM06(455-464).
Springer DOI 0610
BibRef

Mitzel, D.[Dennis], Pock, T.[Thomas], Schoenemann, T.[Thomas], Cremers, D.[Daniel],
Video Super Resolution Using Duality Based TV-L1 Optical Flow,
DAGM09(432-441).
Springer DOI 0909
See also Efficient Dense Scene Flow from Sparse or Dense Stereo Data. BibRef

Oh, S.C.[Sung-Chan], Lee, H.J.[Hyug-Jae], Kim, G.H.[Gyeong-Hwan],
Virtual Halo Effect Using Graph-Cut Based Video Segmentation,
IEICE(E96-D), No. 11, November 2013, pp. 2492-2495.
WWW Link. 1311
BibRef


Kudo, S.[Satomi], Koga, H.[Hisashi], Yokoyama, T.[Takanori], Watanabe, T.[Toshinori],
Robust automatic video object segmentation with graphcut assisted by SURF features,
ICIP12(297-300).
IEEE DOI 1302
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 1201
BibRef

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

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

Wu, X.Y.[Xiao-Yu], Yang, L.[Lei], Yang, C.[Cheng],
Monocular Real-Time Foreground Cut Based on Multiple Cues,
CISP09(1-5).
IEEE DOI 0910
BibRef

Gong, M.L.[Ming-Lun],
Foreground segmentation of live videos using locally competing 1SVMs,
CVPR11(2105-2112).
IEEE DOI 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 0812
See also Incorporating estimated motion in real-time background subtraction. BibRef

Sun, Y.[Yunda], Yuan, B.Z.[Bao-Zong], Miao, Z.J.[Zhen-Jiang], Wan, C.K.[Cheng-Kai],
Better Foreground Segmentation for Static Cameras via New Energy Form and Dynamic Graph-cut,
ICPR06(IV: 49-52).
IEEE DOI 0609
BibRef

Ahn, J.H.[Jung-Ho], Kim, K.C.[Kil-Cheon], Byun, H.R.[Hye-Ran],
Robust Object Segmentation Using Graph Cut with Object and Background Seed Estimation,
ICPR06(II: 361-364).
IEEE DOI 0609
BibRef
And: A1, A3, Only:
Accurate Foreground Extraction Using Graph Cut with Trimap Estimation,
PSIVT06(1185-1194).
Springer DOI 0612
BibRef

Chapter on Motion Analysis -- Low-Level, Image Level Analysis, Mosaic Generation, Super Resolution, Shape from Motion continues in
Hough, Voting, Accumulation Methods for Moving Object Extraction .


Last update:Nov 17, 2018 at 09:12:27