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» A Variational Approach for Object Contour Tracking
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ICPR
2008
IEEE
14 years 8 months ago
Variational Maximum A Posteriori model similarity and dissimilarity matching
A new variational Maximum A Posteriori (MAP) contextual modeling approach is presented that minimizes the product of two ratios: (a) the ratio of the model distribution to the dis...
John Chiverton, Majid Mirmehdi, Xianghua Xie

Publication
468views
13 years 4 months ago
Visual object tracking via sample-based Adaptive Sparse Representation (AdaSR)
When appearance variation of object and its background, partial occlusion or deterioration in object images occurs, most existing visual tracking methods tend to fail in tracking ...
Zhenjun Han, Jianbin Jiao, Baochang Zhang, Qixiang...
CVPR
1999
IEEE
1104views Computer Vision» more  CVPR 1999»
14 years 9 months ago
Geodesic Active Contours for Supervised Texture Segmentation
This paper presents a variational method for supervised texture segmentation, which is based on ideas coming from the curve propagation theory. We assume that a preferable texture...
Nikos Paragios, Rachid Deriche
AR
2005
92views more  AR 2005»
13 years 7 months ago
Efficient model-based tracking for robot vision
This paper proposes a real-time, robust and efficient three-dimensional (3D) model-based tracking algorithm. A virtual visual servoing approach is used for monocular 3D tracking. T...
Andrew I. Comport, Éric Marchand, Fran&cced...
ECCV
1996
Springer
14 years 9 months ago
Learning Dynamics of Complex Motions from Image Sequences
In Proc. European Conf. Computer Vision, 1996, pp. 357{368, Cambridge, UK The performance of Active Contours in tracking is highly dependent on the availability of an appropriate ...
David Reynard, Andrew Wildenberg, Andrew Blake, Jo...