Chen Zhang and Julian Eggert (2010)
Exploiting Hierarchical Prediction Models for Mixed 2D-3D Tracking
In: European Symposium on Artificial Neural Networks (ESANN). d-side publications, Bruges, Belgium.
In this paper, we present a generic way to use a hierarchical
representation of prediction models for adaptive tracking. Starting with a
basic appearance-based tracker working in 2D retinal space, we show how
to combine individual trackers for the left and right eye to a true 3D tracker that is built on top of the 2D trackers. We show how the trackers benefit from the hierarchical structure by dynamical model switching depending
on the reliability of the tracking results.
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2010_ESANN_ExploitingHierarchicalPred_ZhangEggert.pdf
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Created by jeggert - 2010-01-22 13:07
Last modified by - 2010-01-25 11:20
Created by jeggert - 2010-01-22 13:07
Last modified by - 2010-01-25 11:20
