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MVA
2008
125views Computer Vision» more  MVA 2008»
15 years 6 months ago
Pearson-based mixture model for color object tracking
To track objects in video sequences, many studies have been done to characterize the target with respect to its color distribution. Most often, the Gaussian Mixture Model (GMM) is ...
William Ketchantang, Stéphane Derrode, Lion...
MVA
2008
201views Computer Vision» more  MVA 2008»
15 years 6 months ago
How close are we to solving the problem of automated visual surveillance?
The problem of automated visual surveillance has spawned a lively research area, with 2005 seeing three conferences or workshops and special issues of two major journals devoted to...
Hannah M. Dee, Sergio A. Velastin
MVA
2008
122views Computer Vision» more  MVA 2008»
15 years 6 months ago
Thermo-visual feature fusion for object tracking using multiple spatiogram trackers
In this paper, we propose a framework that can efficiently combine features for robust tracking based on fusing the outputs of multiple spatiogram trackers. This is achieved withou...
Ciarán O Conaire, Noel E. O'Connor, Alan F....
PAMI
2008
147views more  PAMI 2008»
15 years 6 months ago
Image Stitching Using Structure Deformation
The aim of this paper is to achieve seamless image stitching without producing visual artifact caused by severe intensity discrepancy and structure misalignment, given that the inp...
Jiaya Jia, Chi-Keung Tang
PAMI
2006
206views more  PAMI 2006»
15 years 6 months ago
MILES: Multiple-Instance Learning via Embedded Instance Selection
Multiple-instance problems arise from the situations where training class labels are attached to sets of samples (named bags), instead of individual samples within each bag (called...
Yixin Chen, Jinbo Bi, James Ze Wang