Print Email Facebook Twitter Multi-view action recognition using bag-of-words and various fusion schemes Title Multi-view action recognition using bag-of-words and various fusion schemes Author Burghouts, G.J. Eendebak, P.T. Bouma, H. Hove, R.J.M. Publication year 2014 Abstract 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. Subject Physics & ElectronicsII - Intelligent ImagingTS - Technical SciencesSafety and SecurityImage processingDefence, Safety and SecurityAction recognitionVideo imagesBag of wordsMultiple views To reference this document use: http://resolver.tudelft.nl/uuid:0abe327d-05b7-4bcd-be32-1c41e4f6025c TNO identifier 489757 Source Netherlands Conference on Computer Vision NCCV 2014, 24-25 April 2014, Ermelo, The Netherlands, 1-2 Document type conference paper Files To receive the publication files, please send an e-mail request to TNO Library.