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» Measuring and Predicting Object Importance
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ICCV
2009
IEEE
1190views Computer Vision» more  ICCV 2009»
16 years 4 months ago
You'll never walk alone: modeling social behavior for multi-target tracking
Object tracking typically relies on a dynamic model to predict the object’s location from its past trajectory. In crowded scenarios a strong dynamic model is particularly impo...
S. Pellegrini, A. Ess, K. Schindler, L. van Gool
CVPR
2008
IEEE
16 years 1 months ago
Object tracking and detection after occlusion via numerical hybrid local and global mode-seeking
Given an object model and a black-box measure of similarity between the model and candidate targets, we consider visual object tracking as a numerical optimization problem. During...
Zhaozheng Yin, Robert T. Collins
CIDR
2007
141views Algorithms» more  CIDR 2007»
15 years 18 days ago
Fragmentation in Large Object Repositories
Fragmentation leads to unpredictable and degraded application performance. While these problems have been studied in detail for desktop filesystem workloads, this study examines n...
Russell Sears, Catharine van Ingen
MVA
2010
254views Computer Vision» more  MVA 2010»
14 years 9 months ago
Gamma/X-ray linear pushbroom stereo for 3D cargo inspection
For evaluating the contents of trucks, containers, cargo, and passenger vehicles by a non-intrusive gamma-ray or X-ray imaging system to determine the possible presence of contrab...
Zhigang Zhu, Yu-Chi Hu, Li Zhao
BMCBI
2008
160views more  BMCBI 2008»
14 years 11 months ago
Feature selection environment for genomic applications
Background: Feature selection is a pattern recognition approach to choose important variables according to some criteria in order to distinguish or explain certain phenomena (i.e....
Fabrício Martins Lopes, David Correa Martin...