Action Recognition from One Example


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


21 Figures and Tables


Citations per Year

145 Citations

Semantic Scholar estimates that this publication has 145 citations based on the available data.

See our FAQ for additional information.