Sciweavers

234 search results - page 29 / 47
» Tracking Objects to Detect Feature Dependencies
Sort
View
ICCV
2005
IEEE
14 years 9 months ago
When Does a Camera See Rain?
Rain produces sharp intensity fluctuations in images and videos, which degrade the performance of outdoor vision systems. These intensity fluctuations depend on various factors, s...
Kshitiz Garg, Shree K. Nayar
GI
2009
Springer
13 years 5 months ago
Source Conflicts in Bayesian Identification
: In Bayesian identification an ID source is in conflict with the other ID sources, if both provide substantially different, reliable information on a tracked object. After discuss...
Max Krüger, David Hirschhäuser
WAPCV
2007
Springer
14 years 1 months ago
An Experimental Comparison of Three Guiding Principles for the Detection of Salient Image Locations: Stability, Complexity, and
We present an experimental comparison of the performance of representative saliency detectors from three guiding principles for the detection of salient image locations: locations...
Dashan Gao, Nuno Vasconcelos
PAMI
2006
193views more  PAMI 2006»
13 years 7 months ago
A System for Learning Statistical Motion Patterns
Analysis of motion patterns is an effective approach for anomaly detection and behavior prediction. Current approaches for the analysis of motion patterns depend on known scenes, w...
Weiming Hu, Xuejuan Xiao, Zhouyu Fu, Dan Xie, Tien...
CVPR
2007
IEEE
14 years 9 months ago
Kernel-Based 3D Tracking
We present a computer vision system for robust object tracking in 3D by combining evidence from multiple calibrated cameras. This kernel-based 3D tracker is automatically bootstra...
Ambrish Tyagi, Mark A. Keck, James W. Davis, Geras...