18.3.4.1.1 Motion Sequence, Background Subtraction

Zhang, W.J.[Wen Jun], Yu, Y.S.[Yu Song],
Piecewise linear motion-adaptive interpolation,
SP:IC(4), No. 1, November 1991, pp. 93-99.
WWW Version. 0001Motion-adaptive interpolation; background subtraction; motion estimation; coding for videoconferencing BibRef

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

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.
WWW Version. 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).
WWW Version.
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).
WWW Version. 0505 BibRef

Kim, K.[Kyungnam], Harwood, D.[David], Davis, L.S.[Larry S.],
Background Updating for Visual Surveillance,
ISVC05(337-346).
WWW Version. 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

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. 0505Adapt 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

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. 0604On-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.
WWW Version. 0609 BibRef
Earlier:
Fusion-Based Background-Subtraction using Contour Saliency,
OTCBVS05(III: 11-11).
WWW Version. 0507 BibRef
And:
Feature-level Fusion for Object Segmentation using Mutual Information,
OTCBVS06(139).
WWW Version. 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. 0705Background-subtraction; Fusion; Thermal imagery; Infrared; FLIR; Contour Saliency Map; CSM; Video surveillance and monitoring; Person detection 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).
WWW Version. 0601 BibRef
Earlier:
Background initialization with a new robust statistical approach,
PETS05(153-159).
WWW Version. 0602Background 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).
WWW Version. 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. 0706Centre 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. 0707Hierarchical 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.
WWW Version. 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).
WWW Version. 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. 0502Probabilistic 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.
WWW Version. 0806 BibRef
Earlier:
Moving Object Detection for Real-Time Applications,
CIAP07(542-547).
WWW Version. 0709 BibRef
Earlier:
A Self-organizing Approach to Detection of Moving Patterns for Real-Time Applications,
BVAI07(181-190).
WWW Version. 0710 BibRef

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

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

Rodhetbhai, W.[Wasara], Lewis, P.H.[Paul H.],
Salient Region Filtering for Background Subtraction,
Visual07(126-135).
WWW Version. 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).
WWW Version. 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).
WWW Version. 0706 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).
WWW Version. 0711 BibRef
And:
Mixture Models Based Background Subtraction for Video Surveillance Applications,
CAIP07(28-35).
WWW Version. 0708 BibRef

Yao, J.[Jian], Odobez, J.M.[Jean-Marc],
Multi-Layer Background Subtraction Based on Color and Texture,
VS07(1-8).
WWW Version. 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).
WWW Version. 0612 BibRef

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

Cezar Silveira Jacques, J., Rosito Jung, C., Musse, S.R.,
A Background Subtraction Model Adapted to Illumination Changes,
ICIP06(1817-1820). 0610
WWW Version. 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).
WWW Version. 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).
WWW Version. 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).
WWW Version. 0601 BibRef

Conte, D.[Donatello], Foggia, P.[Pasquale], Petretta, M.[Michele], Tufano, F.[Francesco], Vento, M.[Mario],
Evaluation and Improvements of a Real-Time Background Subtraction Method,
ICIAR05(1234-1241).
WWW Version. 0509 BibRef

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

Li, L.Y.[Li-Yuan], Luo, R.[Ruijiang], 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).
WWW Version. 0512 BibRef

Fiala, M.[Mark], Shu, C.[Chang],
Background Subtraction using Self-Identifying Patterns,
CRV05(558-565).
WWW Version. 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).
WWW Version. 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).
WWW Version. 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

Mittal, A., Paragios, N.,
Motion-based background subtraction using adaptive kernel density estimation,
CVPR04(II: 302-309).
IEEE Abstract. IEEE Top Reference. 0408 BibRef

Monnet, A., Mittal, A., Paragios, N., Ramesh, V.,
Background modeling and subtraction of dynamic scenes,
ICCV03(1305-1312).
WWW Version. 0311 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).
WWW Version. 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.[Harry], 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).
WWW Version. 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. 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 .