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» Model of visual attention for video sequences
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MICCAI
2007
Springer
15 years 3 months ago
A Probabilistic Framework for Tracking Deformable Soft Tissue in Minimally Invasive Surgery
The use of vision based algorithms in minimally invasive surgery has attracted significant attention in recent years due to its potential in providing in situ 3D tissue deformation...
Peter Mountney, Benny P. L. Lo, Surapa Thiemjarus,...
EMMCVPR
2005
Springer
15 years 3 months ago
Extraction of Layers of Similar Motion Through Combinatorial Techniques
In this paper we present a new technique to extract layers in a video sequence. To this end, we assume that the observed scene is composed of several transparent layers, that their...
Romain Dupont, Nikos Paragios, Renaud Keriven, Phi...
CVPR
2010
IEEE
15 years 2 months ago
Novel Observation Model for Probabilistic Object Tracking
Treating visual object tracking as foreground and background classification problem has attracted much attention in the past decade. Most methods adopt mean shift or brute force s...
Dawei Liang, Qingming Huang, Hongxun Yao, Shuqiang...
ECCV
2002
Springer
15 years 11 months ago
Robust Parameterized Component Analysis
Principal ComponentAnalysis (PCA) has been successfully applied to construct linear models of shape, graylevel, and motion. In particular, PCA has been widely used to model the var...
Fernando De la Torre, Michael J. Black
ICCV
2011
IEEE
13 years 9 months ago
Dynamic Manifold Warping for View Invariant Action Recognition
We address the problem of learning view-invariant 3D models of human motion from motion capture data, in order to recognize human actions from a monocular video sequence with arbi...
Dian Gong, Gerard Medioni