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ICASSP
2011
IEEE
14 years 5 months ago
Efficient block-division model for robust multiple object tracking
Tracking multiple objects under occlusion is one of the most challenging issues in computer vision. Occlusion results in mistaken match when finding the most similar candidate. A...
Wenhan Luo, Xiaoqin Zhang, Yang Liu, Xi Li, Weimin...
DAGM
2006
Springer
15 years 5 months ago
Robust Non-rigid Object Tracking Using Point Distribution Manifolds
Abstract. We present an approach to non-rigid object tracking designed to handle textured objects in crowded scenes captured by non-static cameras. For this purpose, groups of low-...
Tom Mathes, Justus H. Piater
WACV
2005
IEEE
15 years 7 months ago
Deformation Analysis for 3D Face Matching
Current two-dimensional image based face recognition systems encounter difficulties with large facial appearance variations due to the pose, illumination and expression changes. ...
Xiaoguang Lu, Anil K. Jain
ICIP
2007
IEEE
16 years 3 months ago
Large Scale Learning of Active Shape Models
We propose a framework to learn statistical shape models for faces as piecewise linear models. Specifically, our methodology builds upon primitive active shape models(ASM) to hand...
Atul Kanaujia, Dimitris N. Metaxas
PRL
2007
209views more  PRL 2007»
15 years 1 months ago
Rigid and non-rigid face motion tracking by aligning texture maps and stereo 3D models
Accurate rigid and non-rigid tracking of faces is a challenging task in computer vision. Recently, appearance-based 3D face tracking methods have been proposed. These methods can ...
Fadi Dornaika, Angel Domingo Sappa