Sciweavers

976 search results - page 59 / 196
» Measuring and Predicting Object Importance
Sort
View
ICCV
2009
IEEE
1190views Computer Vision» more  ICCV 2009»
16 years 8 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
163
Voted
CVPR
2008
IEEE
16 years 5 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
144
Voted
CIDR
2007
141views Algorithms» more  CIDR 2007»
15 years 5 months 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
112
Voted
MVA
2010
254views Computer Vision» more  MVA 2010»
15 years 2 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
135
Voted
BMCBI
2008
160views more  BMCBI 2008»
15 years 3 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...