18.3.4.1.1 Motion Sequence, Background Subtraction

Chapter Contents (Back)
Background. Motion, Detection. Generally, one main moving region or object. See also Moving Object Extraction, Using Models or Analysis of Regions. See also Grouping, Figure-Ground, Background, Foreground.

Moore, J.K.[J. Kenneth], Kaiser, A.[Arthur], Mahler, H.W.[Henry W.],
Television system for displaying and recording paths of motion,
US_Patent4,179,704, Dec 18, 1979
WWW Version. Background subtraction. BibRef 7912

Woolfson, M.G.[Martin G.], Romanski, J.G.[John G.],
Apparatus and method for preprocessing video frame signals,
US_Patent4,405,940, Sep 20, 1983
WWW Version. target from background BibRef 8309

Morton, R.R.A.[Roger R. A.], Redden, J.E.[John E.],
Apparatus and methods for locating edges and document boundaries in video scan lines,
US_Patent4,833,722, May 23, 1989
WWW Version. Given background BibRef 8905

Morton, R.R.A.[Roger R. A.], Redden, J.E.[John E.], Lewis, S.[Scott],
Apparatus for enhancing and thresholding scanned microfilm images and methods for use therein,
US_Patent4,982,294, Jan 1, 1991
WWW Version. BibRef 9101

Otsuki, A.[Akira],
Image processing device and method for sensing moving objects and rangefinder employing the same,
US_Patent5,212,547, 05/18/1993.
HTML Version. Compute background based on average of sequence, detect object from difference. BibRef 9305

Astle, B.[Brian],
Video coding scheme with foreground/background separation,
US_Patent5,812,787, Sep 22, 1998
WWW Version. BibRef 9809

Ivanov, Y.A.[Yuri A.], Bobick, A.F.[Aaron F.], Liu, J.[John],
Fast Lighting Independent Background Subtraction,
IJCV(37), No. 2, June 2000, pp. 199-207.
WWW Version. 0008
BibRef
Earlier: VS98(Image Processing for Visual Surveillance). BibRef Vismod--437, 1997.
Postscript Version. BibRef

Tzidon, D.[Dekel], Tzidon, A.[Aviv],
Method of providing background patterns for camera tracking,
US_Patent6,191,812, Feb 20, 2001
WWW Version. Chroma key background BibRef 0102

Kondo, T.[Tetsujiro],
Method and apparatus for separating/generating background and motion object planes,
US_Patent6,275,617, Aug 14, 2001
WWW Version. BibRef 0108
And: US_Patent6,335,988, Jan 1, 2002
WWW Version. BibRef

Kondo, T.[Tetsujiro],
Image signal processing apparatus and recording/reproducing apparatus,
US_Patent5,835,138, Nov 10, 1998
WWW Version. BibRef 9811
And: US_Patent5,926,212, Jul 20, 1999
WWW Version. For stabilization BibRef

Elgammal, A.M.[Ahmed M.], Duraiswami, R., Harwood, D.[David], Davis, L.S.[Larry S.],
Background and foreground modeling using nonparametric kernel density estimation for visual surveillance,
PIEEE(90), 2002, pp. 1151-1163.
IEEE DOI Link BibRef 0200
Earlier: A1, A3, A4, Only:
Non-Parametric Model for Background Subtraction,
ECCV00(II: 751-767).
WWW Version. BibRef Frame-Rate99().
HTML Version. BibRef

Haritaoglu, I., Harwood, D., Davis, L.S.,
A Fast Background Scene Modeling and Maintenance for Outdoor Surveillance,
ICPR00(Vol IV: 179-183).
IEEE DOI Link
HTML Version. 0009
BibRef

Horprasert, T.[Thanarat], Harwood, D.[David], Davis, L.S.[Larry S.],
A Statistical Approach for Real-time Robust Background Subtraction and Shadow Detection,
Frame-Rate99().
HTML Version. BibRef 9900

Kim, K.[Kyungnam], Chalidabhongse, T.H.[Thanarat H.], Harwood, D.[David], Davis, L.S.[Larry S.],
Real-time foreground-background segmentation using codebook model,
RealTimeImg(11), No. 3, June 2005, pp. 172-185.
WWW Version. 0508
BibRef
Earlier:
Background modeling and subtraction by codebook construction,
ICIP04(V: 3061-3064).
IEEE DOI Link 0505
BibRef

Kim, K.[Kyungnam], Harwood, D.[David], Davis, L.S.[Larry S.],
Background Updating for Visual Surveillance,
ISVC05(337-346).
Springer DOI Link 0512
BibRef

Wu, Q.Z.[Quen-Zong], Jeng, B.S.[Bor-Shenn],
Background subtraction based on logarithmic intensities,
PRL(23), No. 13, November 2002, pp. 1529-1536.
HTML Version. 0206
BibRef

Itokawa, O.[Osamu],
Image information processing apparatus and its method,
US_Patent6,404,901, Jun 11, 2002
WWW Version. BibRef 0206
And:
Image processing apparatus and image processing method, and storage medium,
US_Patent6,784,927, Aug 31, 2004
WWW Version. 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.
WWW Version. 0501
BibRef

Lee, D.S.[Dar-Shyang],
Effective Gaussian Mixture Learning for Video Background Subtraction,
PAMI(27), No. 5, May 2005, pp. 827-832.
IEEE Abstract. IEEE Top Reference. 0501
BibRef
Earlier:
Online Adaptive Gaussian Mixture Learning for Video Applications,
SMVP04(105-116).
WWW Version. 0505
Adapt the measure for each frame. BibRef

Cheung, S.C.S.[Sen-Ching S.], Kamath, C.[Chandrika],
Robust Background Subtraction with Foreground Validation for Urban Traffic Video,
JASP(2005), No. 14, 2005, pp. 2330-2340.
WWW Version. 0603
BibRef

Li, B.X.[Bao-Xin],
Image background replacement method,
US_Patent6,909,806, Jun 21, 2005
WWW Version. BibRef 0506

Schoepflin, T.[Todd], Haynor, D.R.[David R.], Sahr, J.D.[John D.], Kim, Y.M.[Yong-Min],
Video object tracking by estimating and subtracting background,
US_Patent6,870,945, Mar 22, 2005
WWW Version. BibRef 0503

Olson, T.J.[Thomas J.],
Automatic video monitoring system which selectively saves information,
US_Patent7,023,469, Apr 4, 2006
WWW Version. BibRef 0604

Spagnolo, P., Orazio, T.D., Leo, M., Distante, A.,
Moving object segmentation by background subtraction and temporal analysis,
IVC(24), No. 5, 1 May 2006, pp. 411-423.
WWW Version. 0606
Moving object segmentation; Temporal analysis; Background updating BibRef

Zivkovic, Z.[Zoran], van der Heijden, F.[Ferdinand],
Efficient adaptive density estimation per image pixel for the task of background subtraction,
PRL(27), No. 7, May 2006, pp. 773-780.
WWW Version. 0604
On-line density estimation; Gaussian mixture model; Non-parametric density estimation BibRef

Zivkovic, Z.,
Layered image model using binary PCA transparency masks,
BMVC07(xx-yy).
PDF Version. 0709
BibRef

Cheng, J.[Jian], Yang, J.[Jie], Zhou, Y.[Yue], Cui, Y.Y.[Ying-Ying],
Flexible background mixture models for foreground segmentation,
IVC(24), No. 5, 1 May 2006, pp. 473-482.
WWW Version. Foreground segmentation; Background subtraction; Mixture models; EM algorithm; Maximum a posteriori (MAP) 0606
BibRef

Davis, J.W.[James W.], Sharma, V.[Vinay],
Background-Subtraction in Thermal Imagery Using Contour Saliency,
IJCV(71), No. 2, February 2007, pp. 161-181.
Springer DOI Link 0609
BibRef
Earlier:
Fusion-Based Background-Subtraction using Contour Saliency,
OTCBVS05(III: 11-11).
IEEE DOI Link 0507
BibRef
And: A2, A1:
Feature-level Fusion for Object Segmentation using Mutual Information,
OTCBVS06(139).
IEEE DOI Link 0609
BibRef

Davis, J.W.[James W.], Sharma, V.[Vinay],
Background-subtraction using contour-based fusion of thermal and visible imagery,
CVIU(106), No. 2-3, May-June 2007, pp. 162-182.
WWW Version. 0705
BibRef
Earlier:
Robust detection of people in thermal imagery,
ICPR04(IV: 713-716).
IEEE DOI Link 0409
BibRef
Earlier:
Robust Background-Subtraction for Person Detection in Thermal Imagery,
OTCBVS04(128).
HTML Version. 0502
Background-subtraction; Fusion; Thermal imagery; Infrared; FLIR; Contour Saliency Map; CSM; Video surveillance and monitoring; Person detection BibRef

Sharma, V.[Vinay], Davis, J.W.[James W.],
Integrating Appearance and Motion Cues for Simultaneous Detection and Segmentation of Pedestrians,
ICCV07(1-8).
IEEE DOI Link 0710
BibRef
And:
Simultaneous Detection and Segmentation of Pedestrians using Top-down and Bottom-up Processing,
VS07(1-8).
IEEE DOI Link 0706
BibRef
Earlier:
Extraction of Person Silhouettes from Surveillance Imagery using MRFs,
WACV07(33-33).
IEEE DOI Link 0702
BibRef

Wang, H.Z.[Han-Zi], Suter, D.[David],
A consensus-based method for tracking: Modelling background scenario and foreground appearance,
PR(40), No. 3, March 2007, pp. 1091-1105.
WWW Version. 0611
BibRef
Background Subtraction Based on a Robust Consensus Method,
ICPR06(I: 223-226).
WWW Version. 0609
BibRef
Earlier:
A Novel Robust Statistical Method for Background Initialization and Visual Surveillance,
ACCV06(I:328-337).
Springer DOI Link 0601
BibRef
Earlier:
Background initialization with a new robust statistical approach,
PETS05(153-159).
IEEE DOI Link 0602
Background modelling; Background subtraction; Sample consensus; Visual tracking; Segmentation; Foreground appearance modelling; Occlusion BibRef

Schindler, K.[Konrad], Wang, H.Z.[Han-Zi],
Smooth Foreground-Background Segmentation for Video Processing,
ACCV06(II:581-590).
Springer DOI Link 0601
BibRef

Oral, M.[Mustafa], Deniz, U.[Umut],
Centre of mass model: A novel approach to background modelling for segmentation of moving objects,
IVC(25), No. 8, 1 August 2007, pp. 1365-1376.
WWW Version. 0706
Centre of mass; Image modelling; Motion segmentation; Background subtracting BibRef

Chen, Y.T.[Yu-Ting], Chen, C.S.[Chu-Song], Huang, C.R.[Chun-Rong], Hung, Y.P.[Yi-Ping],
Efficient hierarchical method for background subtraction,
PR(40), No. 10, October 2007, pp. 2706-2715.
WWW Version. 0707
Hierarchical background modeling; Background subtraction; Contrast histogram; Non-stationary background; Object detection; Video surveillance BibRef

Tsai, Y.P.[Yu-Pao], Ko, C.H.[Cheng-Hung], Hung, Y.P.[Yi-Ping], Shih, Z.C.[Zen-Chung],
Background Removal of Multiview Images by Learning Shape Priors,
IP(16), No. 10, October 2007, pp. 2607-2616.
IEEE DOI Link 0711
BibRef
Earlier: A2, A1, A4, A3:
A New Image Segmentation Method for Removing Background of Object Movies by Learning Shape Priors,
ICPR06(I: 323-326).
WWW Version. 0609
BibRef

Taycher, L.[Leonid], Fisher, III, J.W.[John W.], Darrell, T.J.[Trevor J.],
Combining Object and Feature Dynamics in Probabilistic Tracking,
CVIU(108), No. 3, December 2007, pp. 243-260.
WWW Version. 0711
BibRef
Earlier: CVPR05(II: 106-113).
IEEE DOI Link 0507
BibRef
And: CSAIL-2005-016, March 2005.
WWW Version. BibRef
And:
Incorporating Object Tracking Feedback into Background Maintenance Framework,
Motion05(II: 120-125).
WWW Version. 0502
Probabilistic graphical models; Approximate models; Articulated body tracking; Background subtraction; Shape from motion BibRef

Maddalena, L.[Lucia], Petrosino, A.[Alfredo],
A Self-Organizing Approach to Background Subtraction for Visual Surveillance Applications,
IP(17), No. 7, July 2008, pp. 1168-1177.
IEEE DOI Link 0806
BibRef
Earlier:
Moving Object Detection for Real-Time Applications,
CIAP07(542-547).
IEEE DOI Link 0709
BibRef
Earlier:
A Self-organizing Approach to Detection of Moving Patterns for Real-Time Applications,
BVAI07(181-190).
Springer DOI Link 0710
BibRef

Maddalena, L.[Lucia], Petrosino, A.[Alfredo],
3D Neural Model-Based Stopped Object Detection,
CIAP09(585-593).
Springer DOI Link 0909
BibRef

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 Link
WWW Version. 0812
BibRef
Earlier: A1, A3, Only:
Motion-based background subtraction using adaptive kernel density estimation,
CVPR04(II: 302-309).
IEEE Abstract. IEEE Top Reference. 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 Link 0311
BibRef

Tsai, D.M., Lai, S.C.,
Independent Component Analysis-Based Background Subtraction for Indoor Surveillance,
IP(18), No. 1, January 2009, pp. 158-167.
IEEE DOI Link 0812
BibRef

Abbott, R.G.[Robert G.], Williams, L.R.[Lance R.],
Multiple target tracking with lazy background subtraction and connected components analysis,
MVA(20), No. 2, February 2009, pp. xx-yy.
Springer DOI Link 0902
BibRef

McHugh, J.M.[J. Mike], Konrad, J.[Janusz], Saligrama, V.[Venkatesh], Jodoin, P.M.[Pierre-Marc],
Foreground-Adaptive Background Subtraction,
SPLetters(16), No. 5, May 2009, pp. 390-393.
IEEE DOI Link 0903
BibRef

McHugh, J.M.[J. Mike], Konrad, J.[Janusz], Saligrama, V.[Venkatesh], Jodoin, P.M.[Pierre-Marc], Castanon, D.[David],
Motion detection with false discovery rate control,
ICIP08(873-876).
IEEE DOI Link 0810
BibRef

Kaplan, L.M.[Lance M.], Nasrabadi, N.M.[Nasser M.],
Block Wiener-based image registration for moving target indication,
IVC(27), No. 6, 4 May 2009, pp. 694-703.
Elsevier DOI Link
WWW Version. 0904
Image registration; Wiener filtering; Least mean-squared estimation; Moving target indication BibRef

Poppe, C.[Chris], de Bruyne, S.[Sarah], Paridaens, T.[Tom], Lambert, P.[Peter], van de Walle, R.[Rik],
Moving object detection in the H.264/AVC compressed domain for video surveillance applications,
JVCIR(20), No. 6, August 2009, pp. 428-437.
Elsevier DOI Link
WWW Version. 0907
Moving object detection; Compressed domain analysis; Video surveillance; Object Segmentation; MPEG video; Block-based video coding; H. 264/AVC; Signal processing BibRef

Verstockt, S.[Steven], de Bruyne, S.[Sarah], Poppe, C.[Chris], Lambert, P.[Peter], van de Walle, R.[Rik],
Multi-view Object Localization in H.264/AVC Compressed Domain,
AVSBS09(370-374).
IEEE DOI Link 0909
BibRef

Poppe, C.[Chris], Martens, G.[Gaëtan], Lambert, P.[Peter], van de Walle, R.[Rik],
Improved Background Mixture Models for Video Surveillance Applications,
ACCV07(I: 251-260).
Springer DOI Link 0711
BibRef
And:
Mixture Models Based Background Subtraction for Video Surveillance Applications,
CAIP07(28-35).
Springer DOI Link 0708
BibRef

Zha, Y.F.[Yu-Fei], Bi, D.Y.[Du-Yan], Yang, Y.[Yuan],
Learning complex background by multi-scale discriminative model,
PRL(30), No. 11, 1 August 2009, pp. 1003-1014,.
Elsevier DOI Link
WWW Version. 0909
Background subtraction; Multi-scale; Kernel density estimation; AdaBoost; Markov random field See also Graph-based transductive learning for robust visual tracking. BibRef


Herrero, S.[Sonsoles], Bescós, J.[Jesús],
Background Subtraction Techniques: Systematic Evaluation and Comparative Analysis,
ACIVS09(33-42).
Springer DOI Link 0909
BibRef

Bayona, Á.[Álvaro], San Miguel, J.C.[Juan Carlos], Martinez, J.M.[José M.],
Comparative Evaluation of Stationary Foreground Object Detection Algorithms Based on Background Subtraction Techniques,
AVSBS09(25-30).
IEEE DOI Link 0909
BibRef

Vijverberg, J.A.[Julien A.], Loomans, M.J.H.[Marijn J.H.], Koeleman, C.J.[Cornelis J.], de With, P.H.N.[Peter H.N.],
Global Illumination Compensation for Background Subtraction Using Gaussian-Based Background Difference Modeling,
AVSBS09(448-453).
IEEE DOI Link 0909
BibRef

Klare, B.[Brendan], Sarkar, S.[Sudeep],
Background subtraction in varying illuminations using an ensemble based on an enlarged feature set,
OTCBVS09(66-73).
IEEE DOI Link 0906
BibRef

Singh, A.[Abhishek], Jaikumar, P.[Padmini], Mitra, S.K.[Suman K.],
A Sampling-Resampling Based Bayesian Learning Approach for Object Tracking,
ICCVGIP08(442-449).
IEEE DOI Link 0812
BibRef

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

Amato, A.[Ariel], Mozerov, M.[Mikhail], Huerta, I.[Ivan], Gonzalez, J.[Jordi], Villanueva, J.J.[Juan J.],
Background subtraction technique based on chromaticity and intensity patterns,
ICPR08(1-4).
IEEE DOI Link 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 Link 0810
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 Link 0810
BibRef

Casares, M.[Mauricio], Velipasalar, S.[Senem],
Light-weight salient foreground detection for embedded smart cameras,
ICDSC08(1-7).
IEEE DOI Link 0809
BibRef

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

Ko, T.[Teresa], Soatto, S.[Stefano], Estrin, D.[Deborah],
Background Subtraction on Distributions,
ECCV08(III: 276-289).
Springer DOI Link 0810
BibRef

Reddy, D.[Dikpal], Sankaranarayanan, A.C.[Aswin C.], Cevher, V.[Volkan], Chellappa, R.[Rama],
Compressed sensing for multi-view tracking and 3-D voxel reconstruction,
ICIP08(221-224).
IEEE DOI Link 0810
BibRef

Cevher, V.[Volkan], Sankaranarayanan, A.C.[Aswin C.], Duarte, M.F.[Marco F.], Reddy, D.[Dikpal], Baraniuk, R.G.[Richard G.], Chellappa, R.[Rama],
Compressive Sensing for Background Subtraction,
ECCV08(II: 155-168).
Springer DOI Link 0810
BibRef

Pilet, J.[Julien], Strecha, C.[Christoph], Fua, P.[Pascal],
Making Background Subtraction Robust to Sudden Illumination Changes,
ECCV08(IV: 567-580).
Springer DOI Link 0810
BibRef

Jaikumar, P., Singh, A., Mitra, S.K.,
Background Subtraction in Videos using Bayesian Learning with Motion Information,
BMVC08(xx-yy).
PDF Version. 0809
BibRef

Mahadevan, V.[Vijay], Vasconcelos, N.[Nuno],
Saliency-based discriminant tracking,
CVPR09(1007-1013).
IEEE DOI Link 0906
BibRef
Earlier:
Background subtraction in highly dynamic scenes,
CVPR08(1-6).
IEEE DOI Link 0806
BibRef

Shafait, F.[Faisal], van Beusekom, J.[Joost], Keysers, D.[Daniel], Breuel, T.M.[Thomas M.],
Background variability modeling for statistical layout analysis,
ICPR08(1-4).
IEEE DOI Link 0812
BibRef

Ulges, A.[Adrian], Breuel, T.M.[Thomas M.],
A Local Discriminative Model for Background Subtraction,
DAGM08(xx-yy).
Springer DOI Link 0806
BibRef

Jia, L.[Lihao], Liu, Y.K.[Yi-Kun],
A Novel Thresholding Approach to Background Subtraction,
WACV08(1-6).
IEEE DOI Link 0801
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 Link 0801
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 Link 0709
BibRef

Rodhetbhai, W.[Wasara], Lewis, P.H.[Paul H.],
Salient Region Filtering for Background Subtraction,
Visual07(126-135).
Springer DOI Link 0706
BibRef

Wang, L.[Lu], Wang, L.[Lei], Wen, M.[Ming], Zhuo, Q.[Qing], Wang, W.Y.[Wen-Yuan],
Background Subtraction using Incremental Subspace Learning,
ICIP07(V: 45-48).
IEEE DOI Link 0709
BibRef

Huerta, I., Rowe, D., Mozerov, M., Gonzŕlez, J.,
Improving Background Subtraction Based on a Casuistry of Colour-Motion Segmentation Problems,
IbPRIA07(II: 475-482).
Springer DOI Link 0706
BibRef

Yao, J.[Jian], Odobez, J.M.[Jean-Marc],
Multi-Layer Background Subtraction Based on Color and Texture,
VS07(1-8).
IEEE DOI Link 0706
BibRef

Fukui, S.[Shinji], Iwahori, Y.[Yuji], Itoh, H.[Hidenori], Kawanaka, H.[Haruki], Woodham, R.J.[Robert J.],
Robust Background Subtraction for Quick Illumination Changes,
PSIVT06(1244-1253).
Springer DOI Link 0612
BibRef

Park, J., Tabb, A., Kak, A.C.,
Hierarchical Data Structure for Real-Time Background Subtraction,
ICIP06(1849-1852). 0610

IEEE DOI Link BibRef

Cezar Silveira Jacques, J., Rosito Jung, C., Musse, S.R.,
A Background Subtraction Model Adapted to Illumination Changes,
ICIP06(1817-1820). 0610

IEEE DOI Link BibRef

Noriega, P., Bernier, O.,
Real Time Illumination Invariant Background Subtraction Using Local Kernel Histograms,
BMVC06(III:979).
PDF Version. 0609
BibRef

Cheng, L.[Li], Wang, S.J.[Shao-Jun], Schuurmans, D., Caelli, T., Vishwanathan, S.V.N.,
An Online Discriminative Approach to Background Subtraction,
AVSBS06(2-2).
IEEE DOI Link 0611
BibRef

Parag, T.[Toufiq], Elgammal, A.M.[Ahmed M.], Mittal, A.[Anurag],
A Framework for Feature Selection for Background Subtraction,
CVPR06(II: 1916-1923).
IEEE DOI Link 0606
BibRef

Amnuaykanchanasin, P., Thongkamwitoon, T., Srisawaiwilai, N., Aramvith, S., Chalidabhongse, T.H.,
Adaptive parametric statistical background subtraction for video segmentation,
VSSN05(63-66).
WWW Version. 0511
BibRef

Aggarwal, A.[Ashwani], Biswas, S.[Susmit], Singh, S.[Sandeep], Sural, S.[Shamik], Majumdar, A.K.,
Object Tracking Using Background Subtraction and Motion Estimation in MPEG Videos,
ACCV06(II:121-130).
Springer DOI Link 0601
BibRef

Krüger, V.[Volker], Anderson, J.[Jakob], Prehn, T.[Thomas],
Probabilistic Model-Based Background Subtraction,
SCIA05(567-576).
Springer DOI Link 0506
BibRef
And: CIAP05(180-187).
Springer DOI Link 0509
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 Link 0512
BibRef

Fiala, M.[Mark], Shu, C.[Chang],
Background Subtraction using Self-Identifying Patterns,
CRV05(558-565).
IEEE DOI Link 0505
See also Automatic Projector Calibration Using Self-Identifying Patterns. BibRef

Grossmann, E., Kale, A., Jaynes, C.,
Towards Interactive Generation of 'Ground-truth' in Background Subtraction from Partially Labeled Examples,
PETS05(325-332).
IEEE DOI Link 0602
BibRef

Grossmann, E., Kale, A., Jaynes, C., Cheung, S.C.S.,
Offline Generation of High Quality Background Subtraction Data,
BMVC05(xx-yy).
HTML Version. 0509
BibRef

Lim, S.N.[Ser-Nam], Mittal, A.[Anurag], Davis, L.S.[Larry S.], Paragios, N.[Nikos],
Fast Illumination-Invariant Background Subtraction Using Two Views: Error Analysis, Sensor Placement and Applications,
CVPR05(I: 1071-1078).
IEEE DOI Link 0507
BibRef

Migdal, J.[Joshua], Grimson, W.E.L.[W. Eric L.],
Background Subtraction Using Markov Thresholds,
Motion05(II: 58-65).
WWW Version. 0502
BibRef

Yamazawa, K.[Kazumasa], Yokoya, N.[Naokazu],
Detecting Moving Objects with an Omnidirectional Camera Based on Adaptive Background Subtraction,
SCIA03(969-974).
WWW Version. 0310
BibRef
And:
Detecting moving objects from omnidirectional dynamic images based on adaptive background subtraction,
ICIP03(III: 953-956).
IEEE Abstract. IEEE Top Reference. 0312
BibRef

Hayman, E., Eklundh, J.O.,
Statistical background subtraction for a mobile observer,
ICCV03(67-74).
IEEE DOI Link 0311
BibRef

Seki, M., Wada, T., Fujiwara, H., Sumi, K.,
Background subtraction based on cooccurrence of image variations,
CVPR03(II: 65-72).
IEEE Abstract. IEEE Top Reference. 0307
BibRef

Seki, M.[Makito], Fujiwara, H.[Hideto], Sumi, K.[Kazuhiko],
A Robust Background Subtraction Method for Changing Background,
WACV00(207-213).
IEEE Abstract. IEEE Top Reference. 0010
BibRef

Javed, O., Shafique, K., Shah, M.[Mubarak],
A hierarchical approach to robust background subtraction using color and gradient information,
Motion02(22-27).
IEEE Abstract. IEEE Top Reference. 0303
BibRef

Wang, D.S.[Dong-Sheng], Feng, T.[Tao], Shum, H.Y.[Heung-Yeung], Ma, S.D.[Song-De],
A Novel Probability Model for Background Maintenance and Subtraction,
VI02(109).
PDF Version. 0208
BibRef

Ohta, N.[Naoya],
A Statistical Approach to Background Subtraction for Surveillance Systems,
ICCV01(II: 481-486).
IEEE DOI Link 0106
BibRef

Stauffer, C.[Chris], Grimson, W.E.L.,
Adaptive Background Mixture Models for Real-time Tracking,
CVPR99(II: 246-252).
IEEE Abstract. IEEE Top Reference.
WWW Version. Award, Longuet-Higgins. (Awarded after 10 years) Compute the background through major changes in the scene (lighting, etc.) for subtraction for motion detection. BibRef 9900

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:Nov 16, 2009 at 19:35:14