Exploiting Hierarchical Prediction Structures for Mixed 2D-3D Tracking
Chen Bo Calvin Zhang, Julian P. Eggert · 2010
Abstract. 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. 1