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SETN
2010
Springer
14 years 7 months ago
Visual Tracking by Adaptive Kalman Filtering and Mean Shift
A method for object tracking combining the accuracy of mean shift with the robustness to occlusion of Kalman filtering is proposed. At first, an estimation of the object's pos...
Vasileios Karavasilis, Christophoros Nikou, Aristi...
VLUDS
2010
125views Visualization» more  VLUDS 2010»
14 years 4 months ago
A Survey of Interface Tracking Methods in Multi-phase Fluid Visualization
A central feature that scientists are interested in is the dynamics of fluid interfaces or the so called material boundaries in multi-fluid simulation . Visualization techniques f...
Fang Chen, Hans Hagen
ICCV
2005
IEEE
15 years 3 months ago
LOCUS: Learning Object Classes with Unsupervised Segmentation
We address the problem of learning object class models and object segmentations from unannotated images. We introduce LOCUS (Learning Object Classes with Unsupervised Segmentation...
John M. Winn, Nebojsa Jojic
COLCOM
2005
IEEE
14 years 11 months ago
Object-associated telepointer for real-time collaborative document editing systems
Telepointers are a real-time groupware interface feature to indicate where other users are pointing. None of existing telepointer techniques, however, is capable of tracking the r...
Steven Xia, David Sun, Chengzheng Sun, David Chen
BMVC
2002
15 years 5 days ago
Tightly Integrated Sensor Fusion for Robust Visual Tracking
This paper presents novel methods for increasing the robustness of visual tracking systems by incorporating information from inertial sensors. We show that more can be achieved th...
Georg S. W. Klein, Tom Drummond