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CVPR
2010
IEEE
13 years 9 months ago
A probabilistic framework for joint segmentation and tracking
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...
Chad Aeschliman, Johnny Park, Avinash C. Kak
ECCV
2000
Springer
14 years 10 months ago
Coupled Geodesic Active Regions for Image Segmentation: A Level Set Approach
Abstract. This paper presents anovel variational method forimage segmentation that uni es boundary and region-based information sources under the Geodesic Active Region framework. ...
Nikos Paragios, Rachid Deriche
CAIP
2001
Springer
14 years 1 months ago
Visual Attention Guided Seed Selection for Color Image Segmentation
Abstract. The "seeded region growing" SRG is a segmentation technique which performs an image segmentation with respect to a set of initial points, known as seeds. Give...
Nabil Ouerhani, Neculai Archip, Heinz Hügli, ...
CVPR
1997
IEEE
14 years 1 months ago
Smoothness in Layers: Motion segmentation using nonparametric mixture estimation
Grouping based on common motion, or “common fate” provides a powerful cue for segmenting image sequences. Recently a number of algorithms have been developed that successfully...
Yair Weiss
ICDM
2005
IEEE
188views Data Mining» more  ICDM 2005»
14 years 2 months ago
CLUMP: A Scalable and Robust Framework for Structure Discovery
We introduce a robust and efficient framework called CLUMP (CLustering Using Multiple Prototypes) for unsupervised discovery of structure in data. CLUMP relies on finding multip...
Kunal Punera, Joydeep Ghosh