18.3.4.8.5 Motion Sequence, Color Models for Background Subtraction

Chapter Contents (Back)
Background. Subtraction.

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


Liang, Z., Liu, X., Liu, H., Chen, W.,
A refinement framework for background subtraction based on color and depth data,
ICIP16(271-275)
IEEE DOI 1610
Algorithm design and analysis BibRef

Becker, S., Scherer-Negenborn, N., Thakkar, P., Hubner, W., Arens, M.,
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., 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 .


Last update:Oct 15, 2018 at 09:19:25