Regression-Based Template Tracking in Presence of Occlusions


This paper addresses the problem of efficient visual 2D template tracking in the presence of large motions and partial occlusions. We adopt a learning approach, in our case using a Bayesian Mixture of Experts (BME), in which observations at each frame yield direct predictions of the state (e.g. position / scale) of the tracked target. In contrast to other… (More)
DOI: 10.1109/WIAMIS.2007.74

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