Stem foreground$ (all stems)

28 papers:

ICPR-2012-GuyonBZ #constraints #detection #matrix #rank #robust

Foreground detection via robust low rank matrix factorization including spatial constraint with Iterative reweighted regression (CG, TB, EHZ), pp. 2805–2808.

ICPR-2012-ZhangWBZCZ #detection #feature model

Object detection via foreground contour feature selection and part-based shape model (HZ, JW, XB, JZ, JC, HZ), pp. 2524–2527.

ICDAR-2011-KleberDS #estimation #using

Scale Space Binarization Using Edge Information Weighted by a Foreground Estimation (FK, MD, RS), pp. 1180–1184.

ICDAR-2011-XuYWL #analysis #using

Touching Character Separation in Chinese Handwriting Using Visibility-Based Foreground Analysis (LX, FY, QFW, CLL), pp. 859–863.

ICPR-2010-CaseiroHB #modelling #segmentation

Foreground Segmentation via Background Modeling on Riemannian Manifolds (RC, JFH, JB), pp. 3570–3574.

ICPR-2010-DickinsonHA #multi #using #video

Segmenting Video Foreground Using a Multi-Class MRF (PD, AH, KA), pp. 1848–1851.

ICPR-2010-HanerG #visual notation

Combining Foreground / Background Feature Points and Anisotropic Mean Shift For Enhanced Visual Object Tracking (SH, IYHG), pp. 3488–3491.

ICPR-2010-KimPJ #3d #re-engineering

Segment-Based Foreground Extraction Dedicated to 3D Reconstruction (JK, AP, KJ), pp. 3587–3590.

ICPR-2010-KocamazR #automation #refinement

Automatic Refinement of Foreground Regions for Robot Trail Following (MKK, CR), pp. 4077–4080.

ICPR-2010-LettnerS #robust

Combining Spectral and Spatial Features for Robust Foreground-Background Separation (ML, RS), pp. 1969–1972.

ICPR-2010-LiZZ #detection #invariant #using

Abandoned Objects Detection Using Double Illumination Invariant Foreground Masks (XL, CZ, DZ), pp. 436–439.

ICPR-2010-ReddySL #adaptation #modelling #robust #segmentation

Robust Foreground Object Segmentation via Adaptive Region-Based Background Modelling (VR, CS, BCL), pp. 3939–3942.

ICPR-2010-SunHL #data-driven #detection

Data-Driven Foreground Object Detection from a Non-stationary Camera (SWS, FH, HYML), pp. 3053–3056.

ICDAR-2009-SarkarSL #documentation #image

Classifying Foreground Pixels in Document Images (PS, ES, JL), pp. 641–645.

SAC-2009-ShaLW #classification #using #visual notation

Foreground classification using active template in the scene context for visual surveillance (XS, XL, JW), pp. 943–944.

ICPR-2008-GongC #graph #learning #online #optimisation #realtime #segmentation #using

Real-time foreground segmentation on GPUs using local online learning and global graph cut optimization (MG, LC), pp. 1–4.

ICPR-2008-SinhaGM #modelling #robust

Back to the future: Robust foreground extraction with reversed-time background modeling (AKS, PG, AM), pp. 1–4.

ICPR-2008-WanYM #algorithm #segmentation

A new algorithm for static camera foreground segmentation via active coutours and GMM (CW, BY, ZM), pp. 1–4.

ICPR-2008-WuWZ08a #segmentation #video

Monocular video foreground segmentation system (XW, YW, XZ), pp. 1–4.

SAC-2007-BoussellaaZA #hybrid #using

A methodology for the separation of foreground/background in Arabic historical manuscripts using hybrid methods (WB, AZ, AMA), pp. 605–609.

ICPR-v1-2006-HanXG #clustering #segmentation #video

Video Foreground Segmentation Based on Sequential Feature Clustering (MH, WX, YG), pp. 492–496.

ICPR-v1-2006-TavakkoliNB #detection #learning #recursion #robust

Robust Recursive Learning for Foreground Region Detection in Videos with Quasi-Stationary Backgrounds (AT, MN, GB), pp. 315–318.

ICPR-v4-2006-SunYMW #energy #segmentation

Better Foreground Segmentation for Static Cameras via New Energy Form and Dynamic Graph-cut (YS, BY, ZM, CW), pp. 49–52.

ICDAR-2005-GarainPH #documentation #image #on the #quality

On Foreground-Background Separation in Low Quality Color Document Images (UG, TP, LH), pp. 585–589.

ICPR-v1-2004-WithagenSG #classification #probability

Probabilistic Classification Between Foreground Objects and Background (PJW, KS, FCAG), pp. 31–34.

ICPR-v1-2002-BrancaAD #segmentation

Cast Shadow Removing in Foreground Segmentation (AB, GA, AD), pp. 214–217.

ICPR-v2-2000-ChenW #analysis #segmentation #string #using

Segmentation of Handwritten Connected Numeral String Using Background and Foreground Analysis (YKC, JFW), pp. 2598–2601.

ICPR-v2-2000-GiacconeTJ #network #segmentation

Foreground-Background Segmentation by Cellular Neural Networks (PRG, DT, GAJ), pp. 2438–2441.