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ICIP
2007
IEEE
16 years 8 months ago
MAP Particle Selection in Shape-Based Object Tracking
The Bayesian filtering for recursive state estimation and the shape-based matching methods are two of the most commonly used approaches for target tracking. The Multiple Hypothesi...
Alessio Dore, Carlo S. Regazzoni, Mirko Musso
ICIP
2004
IEEE
16 years 8 months ago
A probabilistic framework for object recognition in video
We propose a solution to the problem of object recognition given a continuous video sequence containing multiple views of an object. Initially, object models are acquired from ima...
Omar Javed, Mubarak Shah, Dorin Comaniciu
VIS
2007
IEEE
138views Visualization» more  VIS 2007»
16 years 8 months ago
A Flexible Multi-Volume Shader Framework for Arbitrarily Intersecting Multi-Resolution Datasets
We present a powerful framework for 3D-texture-based rendering of multiple arbitrarily intersecting volumetric datasets. Each volume is represented by a multi-resolution octree-bas...
John Plate, Thorsten Holtkaemper, Bernd Froehlic...
WAIM
2009
Springer
16 years 1 months ago
SLICE: A Novel Method to Find Local Linear Correlations by Constructing Hyperplanes
Finding linear correlations in dataset is an important data mining task, which can be widely applied in the real world. Existing correlation clustering methods combine clustering w...
Liang Tang, Changjie Tang, Lei Duan, Yexi Jiang, J...
WACV
2007
IEEE
16 years 1 months ago
Fast Multi-scale Template Matching Using Binary Features
Template matching is one of the key problems in computer vision and has been widely used in tracking, recognition and many other applications. Traditional methods are usually slow...
Feng Tang, Hai Tao