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DAGM
2008
Springer
13 years 7 months ago
Efficient Tracking as Linear Program on Weak Binary Classifiers
This paper demonstrates how a simple, yet effective, set of features enables to integrate ensemble classifiers in optical flow based tracking. In particular, gray value differences...
Michael Grabner, Christopher Zach, Horst Bischof
DAGM
2006
Springer
13 years 9 months ago
Segmentation-Based Motion with Occlusions Using Graph-Cut Optimization
Abstract. We propose to tackle the optical flow problem by a combination of two recent advances in the computation of dense correspondences, namely the incorporation of image segme...
Michael Bleyer, Christoph Rhemann, Margrit Gelautz
ICMCS
2009
IEEE
415views Multimedia» more  ICMCS 2009»
13 years 3 months ago
A new localized superpixel Markov random field for image segmentation
In this paper, we present a novel localized Markov random field (MRF) method based on superpixels for region segmentation. Early vision problems could be formulated as pixel label...
Xiaofeng Wang, Xiao-Ping Zhang
MICCAI
2007
Springer
14 years 6 months ago
Adaptive Metamorphs Model for 3D Medical Image Segmentation
Abstract. In this paper, we introduce an adaptive model-based segmentation framework, in which edge and region information are integrated and used adaptively while a solid model de...
Junzhou Huang, Xiaolei Huang, Dimitris N. Metaxas,...
IVC
2007
188views more  IVC 2007»
13 years 5 months ago
Integration of deformable contours and a multiple hypotheses Fisher color model for robust tracking in varying illuminant enviro
In this paper, we propose a new technique to perform figure-ground segmentation in image sequences of moving objects under varying illumination conditions. Unlike most of the alg...
Francesc Moreno-Noguer, Alberto Sanfeliu, Dimitris...