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» Using Optical Flow for Tracking
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ICPR
2006
IEEE
14 years 9 months ago
Transforming Static CT in Gated PET/CT Studies to Multiple Respiratory Phases
Discrepancy between CT and PET data due to motion in PET/CT studies is a significant problem. PET is acquired over a period of time whereas CT is static. Thus attenuation correcti...
Mohammad Dawood, Florian Büther, N. Lang, Xia...
ICIP
2002
IEEE
14 years 10 months ago
Multiresolution moment filters
We define multi-scale moments that are estimated locally by analyzing the image through a sliding window at multiple scales. When the analysis window satisfies a two-scale relatio...
Michael Sühling, Michael Unser, Muthuvel Arig...
MIDDLEWARE
2007
Springer
14 years 2 months ago
Dynamic multi-process information flow tracking for web application security
Although there is a large body of research on detection and prevention of such memory corruption attacks as buffer overflow, integer overflow, and format string attacks, the web...
Susanta Nanda, Lap-Chung Lam, Tzi-cker Chiueh
ACISICIS
2007
IEEE
14 years 3 months ago
A Modified K-means Algorithm for Noise Reduction in Optical Motion Capture Data
This paper presents a modified K-means algorithm that can be used for removing noise in multicolor motion capture image sequences. These images have been produced using the Illumi...
Jan Carlo Barca, Grace W. Rumantir
CVPR
2010
IEEE
14 years 5 months ago
Recovering Fluid-type Motions Using Navier-Stokes Potential Flow
The classical optical flow assumes that a feature point maintains constant brightness across the frames. For fluidtype motions such as smoke or clouds, the constant brightness ass...
Feng Li, Liwei Xu, Philippe Guyenne, Jingyi Yu