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FGR
2006
IEEE
157views Biometrics» more  FGR 2006»
14 years 1 months ago
Evaluating Error Functions for Robust Active Appearance Models
Active appearance models (AAMs) are generative parametric models commonly used to track faces in video sequences. A limitation of AAMs is they are not robust to occlusion. A recen...
Barry-John Theobald, Iain Matthews, Simon Baker
CVPR
2009
IEEE
13 years 11 months ago
Switching Gaussian Process Dynamic Models for simultaneous composite motion tracking and recognition
Traditional dynamical systems used for motion tracking cannot effectively handle high dimensionality of the motion states and composite dynamics. In this paper, to address both is...
Jixu Chen, Minyoung Kim, Yu Wang, Qiang Ji
FGR
2008
IEEE
192views Biometrics» more  FGR 2008»
13 years 8 months ago
Tracking a walking person using activity-guided annealed particle filtering
Tracking human pose using observations from less than three cameras is a challenging task due to ambiguity in the available image evidence. This work presents a method for trackin...
John Darby, Baihua Li, Nicholas Costen
ICIP
2008
IEEE
14 years 9 months ago
Hybrid tracking approach using optical flow and pose estimation
This paper proposes an hybrid approach to estimate the 3D pose of an object. The integration of texture information based on image intensities in a more classical non-linear edge-...
Éric Marchand, Étienne Mémin,...
ICIP
2002
IEEE
14 years 18 days ago
Segmentation-based object tracking using image warping and Kalman filtering
We propose a segmentation-based method of object tracking using image warping and Kalman filtering. The object region is defined to include a group of patches, which are obtained ...
Yu Huang, Thomas S. Huang, Heinrich Niemann