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» Online Selection of Tracking Features using AdaBoost
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CVPR
2012
IEEE
13 years 6 months ago
An online learned CRF model for multi-target tracking
We introduce an online learning approach for multitarget tracking. Detection responses are gradually associated into tracklets in multiple levels to produce final tracks. Unlike ...
Bo Yang, Ram Nevatia
ICCV
2005
IEEE
16 years 6 months ago
On-Line Density-Based Appearance Modeling for Object Tracking
Object tracking is a challenging problems in real-time computer vision due to variations of lighting condition, pose, scale, and view-point over time. However, it is exceptionally...
Bohyung Han, Larry S. Davis
ISBI
2009
IEEE
15 years 11 months ago
Design and Study of Flux-Based Features for 3D Vascular Tracking
In this paper, we present and study two local features for the tracking of vascular structures on 3D angiograms. The first one, Flux, measures the inward gradient flux through c...
David Lesage, Elsa D. Angelini, Isabelle Bloch, Ga...
PAMI
2007
194views more  PAMI 2007»
15 years 3 months ago
Robust Object Tracking Via Online Dynamic Spatial Bias Appearance Models
This paper presents a robust object tracking method via a spatial bias appearance model learned dynamically in video. Motivated by the attention shifting among local regions of a ...
Datong Chen, Jie Yang
HAPTICS
2005
IEEE
15 years 10 months ago
An Experiment on Tracking Surface Features with the Sensation of Slip
This paper describes the last of three experiments that investigate relative motion between a surface and the fingertip (slip) as part of a larger program of research on “finger...
Mark A. Salada, J. Edward Colgate, Peter M. Vishto...