18.3.4.7.4 Dynamic Background Subtraction, Moving Camera Background Subtraction

Chapter Contents (Back)
Background. Subtraction.

Mittal, A.[Anurag], Monnet, A.[Antoine], Paragios, N.[Nikos],
Scene modeling and change detection in dynamic scenes: A subspace approach,
CVIU(113), No. 1, January 2009, pp. 63-79.
Elsevier DOI 0812
BibRef
Earlier: A1, A3, Only:
Motion-based background subtraction using adaptive kernel density estimation,
CVPR04(II: 302-309).
IEEE DOI 0408
Scene analysis; Background subtraction; Time series; Principal component analysis BibRef

Monnet, A., Mittal, A., Paragios, N., Ramesh, V.,
Background modeling and subtraction of dynamic scenes,
ICCV03(1305-1312).
IEEE DOI 0311
BibRef

Mahadevan, V.[Vijay], Vasconcelos, N.M.[Nuno M.],
Spatiotemporal Saliency in Dynamic Scenes,
PAMI(32), No. 1, January 2010, pp. 171-177.
IEEE DOI 0912
BibRef
Earlier:
Saliency-based discriminant tracking,
CVPR09(1007-1013).
IEEE DOI 0906
BibRef
Earlier:
Background subtraction in highly dynamic scenes,
CVPR08(1-6).
IEEE DOI 0806
Based on center-surround, inspired by biological systems. Patches modeled as dynamic textures. BibRef

Chan, A.B.[Antoni B.], Mahadevan, V.[Vijay], Vasconcelos, N.M.[Nuno M.],
Generalized Stauffer-Grimson background subtraction for dynamic scenes,
MVA(22), No. 5, September 2011, pp. 751-766.
WWW Link. 1108
See also Adaptive Background Mixture Models for Real-time Tracking. BibRef

Chiranjeevi, P., Sengupta, S.,
Spatially correlated background subtraction, based on adaptive background maintenance,
JVCIR(23), No. 6, August 2012, pp. 948-957.
Elsevier DOI 1208
Moving object detection; Background subtraction; Dynamic backgrounds; Hu moment; Improved Hu moment; Covariance matrix; Spatial correlation; Adaptive model updating rates BibRef

Chiranjeevi, P., Sengupta, S.,
New Fuzzy Texture Features for Robust Detection of Moving Objects,
SPLetters(19), No. 10, October 2012, pp. 603-606.
IEEE DOI 1209
BibRef

Chiranjeevi, P., Sengupta, S.,
Robust detection of moving objects in video sequences through rough set theory framework,
IVC(30), No. 11, November 2012, pp. 829-842.
Elsevier DOI 1211
Background subtraction; Rough set; 3D histon; 3D fuzzy histon; 3D HRI; 3D FHRI BibRef

Chiranjeevi, P., Sengupta, S.,
Neighborhood Supported Model Level Fuzzy Aggregation for Moving Object Segmentation,
IP(23), No. 2, February 2014, pp. 645-657.
IEEE DOI 1402
feature extraction BibRef

Chiranjeevi, P., Sengupta, S.,
Detection of Moving Objects Using Multi-channel Kernel Fuzzy Correlogram Based Background Subtraction,
Cyber(44), No. 6, June 2014, pp. 870-881.
IEEE DOI 1406
Clustering algorithms BibRef

Haque, M.[Mahfuzul], Murshed, M.[Manzur],
Perception-Inspired Background Subtraction,
CirSysVideo(23), No. 12, 2013, pp. 2127-2140.
IEEE DOI 1312
BibRef
Earlier:
Background Subtraction for Real-Time Video Analytics Based on Multi-hypothesis Mixture-of-Gaussians,
AVSS12(166-171).
IEEE DOI 1211
Adaptation models BibRef

Haque, M.[Mahfuzul], Murshed, M.[Manzur], Paul, M.[Manoranjan],
On Stable Dynamic Background Generation Technique Using Gaussian Mixture Models for Robust Object Detection,
AVSBS08(41-48).
IEEE DOI 0809
See also Commentary Paper 2 on On Stable Dynamic Background Generation Technique Using Gaussian Mixture Models for Robust Object Detection. See also Commentary Paper 1 on On Stable Dynamic Background Generation Technique Using Gaussian Mixture Models for Robust Object Detection. BibRef

Narayana, M.[Manjunath], Hanson, A.R.[Allen R.], Learned-Miller, E.G.[Erik G.],
Background subtraction: separating the modeling and the inference,
MVA(25), No. 5, July 2014, pp. 1163-1174.
WWW Link. 1407
BibRef
Earlier:
Coherent Motion Segmentation in Moving Camera Videos Using Optical Flow Orientations,
ICCV13(1577-1584)
IEEE DOI 1403
BibRef
Earlier:
Improvements in Joint Domain-Range Modeling for Background Subtraction,
BMVC12(115).
DOI Link 1301
BibRef
Earlier:
Background modeling using adaptive pixelwise kernel variances in a hybrid feature space,
CVPR12(2104-2111).
IEEE DOI 1208
Motion segmentation; object detection; optical flow; tracking BibRef

Zamalieva, D.[Daniya], Yilmaz, A.[Alper],
Background subtraction for the moving camera: A geometric approach,
CVIU(127), No. 1, 2014, pp. 73-85.
Elsevier DOI 1408
Background subtraction BibRef

Zamalieva, D.[Daniya], Yilmaz, A.[Alper], Davis, J.W.[James W.],
Exploiting Temporal Geometry for Moving Camera Background Subtraction,
ICPR14(1200-1205)
IEEE DOI 1412
BibRef
And:
A Multi-transformational Model for Background Subtraction with Moving Cameras,
ECCV14(I: 803-817).
Springer DOI 1408
Cameras BibRef

Lin, L., Xu, Y., Liang, X., Lai, J.,
Complex Background Subtraction by Pursuing Dynamic Spatio-Temporal Models,
IP(23), No. 7, July 2014, pp. 3191-3202.
IEEE DOI 1407
Adaptation models BibRef

Chan, K.L.,
Detection of foreground in dynamic scene via two-step background subtraction,
MVA(26), No. 6, August 2015, pp. 723-740.
WWW Link. 1508
BibRef

Seo, J.W.[Ja-Won], Kim, S.D.[Seong Dae],
Dynamic background subtraction via sparse representation of dynamic textures in a low-dimensional subspace,
SIViP(10), No. 1, January 2016, pp. 29-36.
WWW Link. 1601
BibRef

Ge, W.F.[Wei-Feng], Guo, Z.H.[Zhen-Hua], Dong, Y.[Yuhan], Chen, Y.[Youbin],
Dynamic background estimation and complementary learning for pixel-wise foreground/background segmentation,
PR(59), No. 1, 2016, pp. 112-125.
Elsevier DOI 1609
Background subtraction (BS) BibRef

Zeng, Z.[Zhi], Jia, J.Y.[Jian-Yuan], Zhu, Z.F.[Zhao-Fei], Yu, D.[Dalin],
Adaptive maintenance scheme for codebook-based dynamic background subtraction,
CVIU(152), No. 1, 2016, pp. 58-66.
Elsevier DOI 1609
Background subtraction BibRef

Wu, Y., He, X., Nguyen, T.Q.,
Moving Object Detection With a Freely Moving Camera via Background Motion Subtraction,
CirSysVideo(27), No. 2, February 2017, pp. 236-248.
IEEE DOI 1702
Cameras BibRef

Yun, K.[Kimin], Lim, J.[Jongin], Choi, J.Y.[Jin Young],
Scene conditional background update for moving object detection in a moving camera,
PRL(88), No. 1, 2017, pp. 57-63.
Elsevier DOI 1703
Background subtraction in a moving camera BibRef

Sajid, H.[Hasan], Cheung, S.C.S.[Sen-Ching Samson],
Universal Multimode Background Subtraction,
IP(26), No. 7, July 2017, pp. 3249-3260.
IEEE DOI 1706
BibRef
Earlier:
Background subtraction for static and moving camera,
ICIP15(4530-4534)
IEEE DOI 1512
Cameras, Colored noise, Computational modeling, Image color analysis, Lighting, Robustness, Technological innovation, Computer vision, background model bank, background subtraction, binary classifiers, change detection, color spaces, foreground segmentation, pixel classification. BibRef


Tufano, F.[Francesco], Angelino, C.V.[Cesario Vincenzo], Cicala, L.[Luca],
Visual Target Detection and Tracking in UAV EO/IR Videos by Moving Background Subtraction,
ACIVS16(547-558).
Springer DOI 1611
BibRef

Mukojima, H., Deguchi, D., Kawanishi, Y., Ide, I., Murase, H., Ukai, M., Nagamine, N., Nakasone, R.,
Moving camera background-subtraction for obstacle detection on railway tracks,
ICIP16(3967-3971)
IEEE DOI 1610
Cameras BibRef

Berger, M.[Matthew], Seversky, L.M.[Lee M.],
Subspace Tracking under Dynamic Dimensionality for Online Background Subtraction,
CVPR14(1274-1281)
IEEE DOI 1409
background subtraction;subspace tracking BibRef

Ge, W.F.[Wei-Feng], Dong, Y.[Yuhan], Guo, Z.H.[Zhen-Hua], Chen, Y.[Youbin],
Background Subtraction with Dynamic Noise Sampling and Complementary Learning,
ICPR14(2341-2346)
IEEE DOI 1412
Algorithm design and analysis BibRef

Shi, X.[Xun], Tsotsos, J.K.[John K.],
Background subtraction via early recurrence in dynamic scenes,
ICPR12(3172-3175).
WWW Link. 1302
BibRef

Elqursh, A.[Ali], Elgammal, A.M.[Ahmed M.],
Video figure ground labeling,
ICPR12(2472-2475).
WWW Link. 1302
BibRef
Earlier:
Online Moving Camera Background Subtraction,
ECCV12(VI: 228-241).
Springer DOI 1210
BibRef

Marie, R.[Romain], Potelle, A.[Alexis], Mouaddib, E.[El_Mustapha],
Dynamic background subtraction using moments,
ICIP11(2369-2372).
IEEE DOI 1201
BibRef

Gong, M.L.[Ming-Lun], Cheng, L.[Li],
Incorporating estimated motion in real-time background subtraction,
ICIP11(3265-3268).
IEEE DOI 1201
BibRef
Earlier: A2, A1:
Realtime background subtraction from dynamic scenes,
ICCV09(2066-2073).
IEEE DOI 0909
See also Real-time foreground segmentation on GPUs using local online learning and global graph cut optimization. BibRef

Sheikh, Y.[Yaser], Javed, O.[Omar], Kanade, T.[Takeo],
Background Subtraction for Freely Moving Cameras,
ICCV09(1219-1225).
IEEE DOI 0909
BibRef

Zhong, B.N.[Bi-Neng], Liu, S.H.[Shao-Hui], Yao, H.X.[Hong-Xun], Zhang, B.C.[Bao-Chang],
Multl-resolution background subtraction for dynamic scenes,
ICIP09(3193-3196).
IEEE DOI 0911
BibRef

Jin, Y.X.[Yu-Xin], Tao, L.M.[Lin-Mi], Di, H.[Huijun], Rao, N.I.[Naveed I.], Xu, G.Y.[Guang-You],
Background modeling from a free-moving camera by Multi-Layer Homography Algorithm,
ICIP08(1572-1575).
IEEE DOI 0810
BibRef

Lee, H.[Huang], Wu, C.[Chen], Aghajan, H.,
Nonstationary Background Removal Via Multiple Camera Collaboration,
ICDSC07(321-327).
IEEE DOI 0709
BibRef

Zhong, B.N.[Bi-Neng], Yao, H.X.[Hong-Xun], Shan, S.G.[Shi-Guang], Chen, X.L.[Xi-Lin], Gao, W.[Wen],
Hierarchical background subtraction using local pixel clustering,
ICPR08(1-4).
IEEE DOI 0812
BibRef

Zhang, S.P.[Sheng-Ping], Yao, H.X.[Hong-Xun], Liu, S.H.[Shao-Hui], Chen, X.L.[Xi-Lin], Gao, W.[Wen],
A covariance-based method for dynamic background subtraction,
ICPR08(1-4).
IEEE DOI 0812
BibRef

Zhang, S.P.[Sheng-Ping], Yao, H.X.[Hong-Xun], Liu, S.[Shaohui],
Dynamic background modeling and subtraction using spatio-temporal local binary patterns,
ICIP08(1556-1559).
IEEE DOI 0810
BibRef

Zhang, S.P.[Sheng-Ping], Yao, H.X.[Hong-Xun], Liu, S.H.[Shao-Hui],
Dynamic Background Subtraction Based on Local Dependency Histogram,
VS08(xx-yy). 0810
BibRef

Dalley, G.[Gerald], Migdal, J.[Joshua], Grimson, W.E.L.[W. Eric L.],
Background Subtraction for Temporally Irregular Dynamic Textures,
WACV08(1-7).
IEEE DOI 0801
BibRef

Shimada, A.[Atsushi], Yoshinaga, S.[Satoshi], Taniguchi, R.I.[Rin-Ichiro],
Adaptive Background Modeling for Paused Object Regions,
VS10(12-22).
Springer DOI 1109
BibRef

Tanaka, T.[Tatsuya], Shimada, A.[Atsushi], Arita, D.[Daisaku], Taniguchi, R.I.[Rin-Ichiro],
A fast algorithm for adaptive background model construction using parzen density estimation,
AVSBS07(528-533).
IEEE DOI 0709
BibRef

Chapter on Motion Analysis -- Low-Level, Image Level Analysis, Mosaic Generation, Super Resolution, Shape from Motion continues in
Motion Sequence, Color Models for Background Subtraction .


Last update:Sep 18, 2017 at 11:34:11