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» Probabilistic Tracking with Adaptive Feature Selection
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MVA
2008
140views Computer Vision» more  MVA 2008»
13 years 7 months ago
An occlusion metric for selecting robust camera configurations
Vision based tracking systems for surveillance and motion capture rely on a set of cameras to sense the environment. The exact placement or configuration of these cameras can have...
Xing Chen, James Davis
IBPRIA
2003
Springer
14 years 25 days ago
A Colour Tracking Procedure for Low-Cost Face Desktop Applications
In this paper we present an environment for the tracking of a human face obtained from a real video sequence. We will describe the system and discuss the advantages and disadvanta...
Francisco J. Perales López, Ramon Mas, Miqu...
CVPR
2003
IEEE
14 years 9 months ago
Mean-shift Blob Tracking through Scale Space
The mean-shift algorithm is an efficient technique for tracking 2D blobs through an image. Although the scale of the mean-shift kernel is a crucial parameter, there is presently n...
Robert T. Collins
ISPAN
1999
IEEE
13 years 12 months ago
Location Updates and Probabilistic Tracking Algorithms for Mobile Cellular Networks
In this work, we develop a novel mathematical model to analyze di erent location update protocols for mobile cellular network. Our model can capture many important features of use...
John C. S. Lui, Cedric C. F. Fong, H. W. Chan
IJDAR
2010
169views more  IJDAR 2010»
13 years 6 months ago
A Bayesian network for combining descriptors: application to symbol recognition
Inthispaper,weproposeadescriptorcombination method, which enables to improve significantly the recognition rate compared to the recognition rates obtained by each descriptor. This ...
Sabine Barrat, Salvatore Tabbone