Boosted Exemplar Learning for Action Recognition and Annotation

Abstract

Human action recognition and annotation is an active research topic in computer vision. How to model various actions, varying with time resolution, visual appearance, and others, is a challenging task. In this paper, we propose a boosted exemplar learning (BEL) approach to model various actions in a weakly supervised manner, i.e., only action bag-level… (More)
DOI: 10.1109/TCSVT.2011.2133090

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