Multi-view action recognition using bag-of-words and various fusion schemes
conference paper
In this paper, we summarize how the action recognition can be improved when multiple views are available. The novelty is that we explore various combination schemes within the robust and simple bag-of-words (BoW) framework, from early fusion of features to late fusion of multiple classifiers. In new experiments on the publicly available IXMAS dataset, we learn that action recognition can be improved significantly already by only adding one viewpoint. We demonstrate that the state-of-the-art on this dataset can be improved by 5% – achieving 96.4% accuracy – when multiple views are combined.
TNO Identifier
489757
Source title
Netherlands Conference on Computer Vision NCCV 2014, 24-25 April 2014, Ermelo, The Netherlands
Pages
1-2
Files
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