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A dynamic conditional random field model for foreground and shadow segmentationYANG WANG; LOE, Kia-Fock; WU, Jian-Kang et al.IEEE transactions on pattern analysis and machine intelligence. 2006, Vol 28, Num 2, pp 279-289, issn 0162-8828, 11 p.Article

The analysis of the color similarity problem in moving object detectionXIANG ZHANG; JIE YANG.Signal processing. 2009, Vol 89, Num 4, pp 685-691, issn 0165-1684, 7 p.Article

Transform Domain Shadow Removal for Foreground SilhouetteSHIOTA, Toshiaki; NAKAGAMI, Kazuki; NISHITANI, Takao et al.IEICE transactions on fundamentals of electronics, communications and computer science. 2013, Vol 96, Num 3, pp 667-674, issn 0916-8508, 8 p.Article

Independent Component Analysis-Based Background Subtraction for Indoor SurveillanceTSAI, Du-Ming; LAI, Shia-Chih.IEEE transactions on image processing. 2009, Vol 18, Num 1, pp 158-167, issn 1057-7149, 10 p.Article

A comprehensive review of background subtraction algorithms evaluated with synthetic and real videos : Background Models Challenge (BMC)SOBRAL, Andrews; VACAVANT, Antoine.Computer vision and image understanding (Print). 2014, Vol 122, pp 4-21, issn 1077-3142, 18 p.Conference Paper

Region based foreground segmentation combining color and depth sensors via logarithmic opinion pool decisionGALLEGO, Jaime; PARDAS, Montse.Journal of visual communication and image representation (Print). 2014, Vol 25, Num 1, pp 184-194, issn 1047-3203, 11 p.Article

On foreground : background separation in low quality document imagesGARAIN, Utpal; PAQUET, Thierry; HEUTTE, Laurent et al.International journal on document analysis and recognition (Print). 2006, Vol 8, Num 1, pp 47-63, issn 1433-2833, 17 p.Article

A background modeling and foreground segmentation approach based on the feedback of moving objects in traffic surveillance systemsQIANG LING; JINFENG YAN; FENG LI et al.Neurocomputing (Amsterdam). 2014, Vol 133, pp 32-45, issn 0925-2312, 14 p.Article

Background Foreground Segmentation for SLAMCORCORAN, Padraig; WINSTANLEY, Adam; MOONEY, Peter et al.IEEE Transactions on intelligent transportation systems. 2011, Vol 12, Num 4, pp 1177-1183, issn 1524-9050, 7 p.Article

Incremental Tensor Subspace Learning and Its Applications to Foreground Segmentation and TrackingWEIMING HU; XI LI; XIAOQIN ZHANG et al.International journal of computer vision. 2011, Vol 91, Num 3, pp 303-327, issn 0920-5691, 25 p.Article

A Unified Framework for Consistent 2-D/3-D Foreground Object DetectionLANDABASO, Jose-Luis; PARDAS, Montse.IEEE transactions on circuits and systems for video technology. 2008, Vol 18, Num 8, pp 1040-1051, issn 1051-8215, 12 p.Article

Background foreground segmentation with RGB-D Kinect data: An efficient combination of classifiersCAMPLANI, Massimo; SALGADO, Luis.Journal of visual communication and image representation (Print). 2014, Vol 25, Num 1, pp 122-136, issn 1047-3203, 15 p.Article

Moving foreground object detection via robust SIFT trajectoriesSUN, Shih-Wei; FRANK WANG, Yu-Chiang; HUANG, Fay et al.Journal of visual communication and image representation. 2013, Vol 24, Num 3, pp 232-243, issn 1047-3203, 12 p.Article

A nonparametric Riemannian framework on tensor field with application to foreground segmentationCASEIRO, Rui; MARTINS, Pedro; HENRIQUES, Joao F et al.Pattern recognition. 2012, Vol 45, Num 11, pp 3997-4017, issn 0031-3203, 21 p.Article

Motion detection using Fourier image reconstructionTSAI, Du-Ming; CHIU, Wei-Yao.Pattern recognition letters. 2008, Vol 29, Num 16, pp 2145-2155, issn 0167-8655, 11 p.Article

Dual-mode detection for foreground segmentation in low-contrast video imagesCHIU, Wei-Yao; TSAI, Du-Ming.Journal of real-time image processing (Print). 2014, Vol 9, Num 4, pp 647-659, issn 1861-8200, 13 p.Article

Finite asymmetric generalized Gaussian mixture models learning for infrared object detection : Advances in Machine Vision Beyond the Visible Spectrum (BVS)ELGUEBALY, Tarek; BOUGUILA, Nizar.Computer vision and image understanding (Print). 2013, Vol 117, Num 12, pp 1659-1671, issn 1077-3142, 13 p.Article

Memory-based cognitive modeling for robust object extraction and trackingYANJIANG WANG; YUJUAN QI.Applied intelligence (Boston). 2013, Vol 39, Num 3, pp 614-629, issn 0924-669X, 16 p.Article

Background subtraction using finite mixtures of asymmetric Gaussian distributions and shadow detectionELGUEBALY, Tarek; BOUGUILA, Nizar.Machine vision and applications. 2014, Vol 25, Num 5, pp 1145-1162, issn 0932-8092, 18 p.Article

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