Action Recognition from One Example

Abstract

We present a novel action recognition method based on space-time locally adaptive regression kernels and the matrix cosine similarity measure. The proposed method uses a single example of an action as a query to find similar matches. It does not require prior knowledge about actions, foreground/background segmentation, or any motion estimation or tracking… (More)
DOI: 10.1109/TPAMI.2010.156

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