Han, B.H.[Bo-Hyung],
Davis, L.S.[Larry S.],
Density-Based Multifeature Background Subtraction with Support Vector
Machine,
PAMI(34), No. 5, May 2012, pp. 1017-1023.
IEEE DOI
1204
Pixel-wise modeling using multiple features. Color, Haar features.
See also Background and foreground modeling using nonparametric kernel density estimation for visual surveillance.
BibRef
Shoushtarian, B.[Bijan],
Bez, H.E.[Helmut E.],
A practical adaptive approach for dynamic background subtraction using
an invariant colour model and object tracking,
PRL(26), No. 1, 1 January 2005, pp. 5-26.
Elsevier DOI
0501
BibRef
Hu, W.C.[Wu-Chih],
Chen, C.H.[Chao-Ho],
Huang, D.Y.[Deng-Yuan],
Ye, Y.T.[Yan-Ting],
Video object segmentation in rainy situations based on difference
scheme with object structure and color analysis,
JVCIR(23), No. 2, February 2012, pp. 303-312.
Elsevier DOI
1201
Video object segmentation, Background subtraction, Frame difference;
Object structure, Color analysis, Rainy situation, Change detection;
Diamond window mask
BibRef
Kim, W.J.[Won-Jun],
Kim, C.,
Background Subtraction for Dynamic Texture Scenes Using Fuzzy Color
Histograms,
SPLetters(19), No. 3, March 2012, pp. 127-130.
IEEE DOI
1202
BibRef
Zhou, H.[Hong],
Chen, Y.[Yiru],
Feng, R.[Rong],
A novel background subtraction method based on color invariants,
CVIU(117), No. 11, 2013, pp. 1589-1597.
Elsevier DOI
1309
Background subtraction
BibRef
Fernandez-Sanchez, E.J.[Enrique J.],
Rubio, L.[Leonardo],
Diaz, J.[Javier],
Ros, E.[Eduardo],
Background subtraction model based on color and depth cues,
MVA(25), No. 5, July 2014, pp. 1211-1225.
Springer DOI
1407
BibRef
Panda, D.K.,
Meher, S.,
Detection of Moving Objects Using Fuzzy Color Difference Histogram
Based Background Subtraction,
SPLetters(23), No. 1, January 2016, pp. 45-49.
IEEE DOI
1601
Gaussian distribution
BibRef
Lee, H.,
Kim, H.,
Kim, J.I.,
Background Subtraction Using Background Sets With Image- and
Color-Space Reduction,
MultMed(18), No. 10, October 2016, pp. 2093-2103.
IEEE DOI
1610
Cameras
BibRef
Romero, J.D.,
Lado, M.J.,
Méndez, A.J.,
A Background Modeling and Foreground Detection Algorithm Using
Scaling Coefficients Defined With a Color Model Called
Lightness-Red-Green-Blue,
IP(27), No. 3, March 2018, pp. 1243-1258.
IEEE DOI
1801
Computational modeling, Image color analysis, Kernel,
Matrix decomposition, Principal component analysis, Robustness,
lightness-redgreen-blue color model
BibRef
Vujasinovic, S.[Stéphane],
Becker, S.[Stefan],
Scherer-Negenborn, N.[Norbert],
Arens, M.[Michael],
Impact of Fused Visible-Infrared Video Streams on Visual Tracking,
IbPRIA(I:101-112).
Springer DOI
1910
BibRef
Becker, S.[Stefan],
Scherer-Negenborn, N.[Norbert],
Thakkar, P.,
Hubner, W.,
Arens, M.[Michael],
An Evaluation of Background Subtraction Algorithms on Fused
Infrared-Visible Video Streams,
DICTA15(1-6)
IEEE DOI
1603
image colour analysis
BibRef
El Harrouss, O.,
Moujahid, D.,
Tairi, H.,
Motion detection based on the combining of the background subtraction
and spatial color information,
ISCV15(1-4)
IEEE DOI
1506
image colour analysis
BibRef
Frick, A.[Anatol],
Franke, M.[Markus],
Koch, R.[Reinhard],
Time-Consistent Foreground Segmentation of Dynamic Content from Color
and Depth Video,
DAGM11(296-305).
Springer DOI
1109
BibRef
Zhou, W.[Wei],
Liu, Y.[Yu],
Zhang, W.M.[Wei-Ming],
Zhuang, L.S.[Lian-Sheng],
Yu, N.H.[Neng-Hai],
Dynamic Background Subtraction Using Spatial-Color Binary Patterns,
ICIG11(314-319).
IEEE DOI
1109
BibRef
Liang, X.F.[Xue-Feng],
McOwan, P.W.[Peter W.],
Johnston, A.[Alan],
A color neuromorphic approach for motion estimation,
WMVC09(1-6).
IEEE DOI
0912
Multichannel Gradient Model (McGM).
Extend to color domain.
BibRef
Leens, J.[Jérôme],
Piérard, S.[Sébastien],
Barnich, O.[Olivier],
van Droogenbroeck, M.[Marc],
Wagner, J.M.[Jean-Marc],
Combining Color, Depth, and Motion for Video Segmentation,
CVS09(104-113).
Springer DOI
0910
BibRef
Yang, W.X.[Wen-Xian],
Ngan, K.N.[King Ngi],
Unsupervised Multiple Object Segmentation of Multiview Images,
ACIVS07(178-189).
Springer DOI
0708
Color, depth, motion.
BibRef
Huerta, I.,
Rowe, D.,
Mozerov, M.G.[Mikhail G.],
Gonzàlez, J.,
Improving Background Subtraction Based on a Casuistry of Colour-Motion
Segmentation Problems,
IbPRIA07(II: 475-482).
Springer DOI
0706
BibRef
Yao, J.[Jian],
Odobez, J.M.[Jean-Marc],
Multi-Layer Background Subtraction Based on Color and Texture,
VS07(1-8).
IEEE DOI
0706
BibRef
Chua, T.W.[Teck Wee],
Wang, Y.[Yue],
Leman, K.[Karianto],
Adaptive texture-color based background subtraction for video
surveillance,
ICIP12(49-52).
IEEE DOI
1302
BibRef
Li, L.Y.[Li-Yuan],
Luo, R.J.[Rui-Jiang],
Huang, W.M.[Wei-Min],
Leman, K.[Karianto],
Yau, W.Y.[Wei-Yun],
Adaptive Background Subtraction with Multiple Feedbacks for Video
Surveillance,
ISVC05(380-387).
Springer DOI
0512
BibRef
Javed, O.,
Shafique, K.,
Shah, M.[Mubarak],
A hierarchical approach to robust background subtraction using color
and gradient information,
Motion02(22-27).
IEEE DOI
0303
BibRef
Khan, S.[Sohaib],
Shah, M.[Mubarak],
Object Based Segmentation of Video Using Color, Motion and Spatial
Information,
CVPR01(II:746-751).
IEEE DOI
0110
Combine color and motion.
BibRef
Ke, Q.F.[Qi-Fa],
Kanade, T.,
A Subspace Approach to Layer Extraction,
CVPR01(I:255-262).
IEEE DOI
0110
Motion segmentation with multiple motions. First color segmentation into
planar patches, then motion of the patch.
BibRef
Chapter on Motion Analysis -- Low-Level, Image Level Analysis, Mosaic Generation, Super Resolution, Shape from Motion continues in
Moving Object Extraction, Using Models or Analysis of Regions .