12 search results - page 2 / 3 » Improving the Robustness of Parametric Shape Tracking with S... |
ICCS
2007
Springer
13 years 11 months ago
2007
Springer
We present a Dynamic Data Driven Application System (DDDAS) to track 2D shapes across large pose variations by learning non-linear shape manifold as overlapping, piecewise linear s...
ICCV
2009
IEEE
13 years 2 months ago
2009
IEEE
This paper proposes a learnt data-driven approach for accurate, real-time tracking of facial features using only intensity information. Constraints such as a-priori shape models o...
VMV
2008
13 years 6 months ago
2008
We present in this paper a novel object tracking system based on 3D contour models. For this purpose, we integrate two complimentary likelihoods, defined on local color statistics...
ICCS
2005
Springer
13 years 10 months ago
2005
Springer
We present a new framework for robust 3D tracking, using a dynamic data driven coupling of continuous and discrete methods to overcome their limitations. Our method uses primarily ...
CVPR
2010
IEEE
13 years 5 months ago
2010
IEEE
Most tracking algorithms implicitly apply a coarse segmentation of each target object using a simple mask such as a rectangle or an ellipse. Although convenient, such coarse segme...