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- W2379628801 abstract "The invariance property of temporal order of action instances is explored during action execution and it is utilized for devising a new view-invariant action recognition approach.To ensure temporal order during matching,spatiotemporal features,feature fusion and temporal order consistency constraint are utilized.Start by extracting spatiotemporal cuboid features from video sequences and applying feature fusion based on PCA and LPP algorithm to encapsulate within-class similarity for the same viewpoints.For each action class,a feature fusion table is constructed to facilitate feature matching across different views.An action matching score is then calculated based on global temporal order constraint and number of matching features.Finally,the action label of the class with the maximum value of the matching score is assigned to the query action.Experimentation is performed on multiple view Inria Xmas motion acquisition sequences and West Virginia University action datasets,with encouraging results,that are comparable to the existing view-invariant action recognition techniques." @default.
- W2379628801 created "2016-06-24" @default.
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- W2379628801 date "2015-01-01" @default.
- W2379628801 modified "2023-09-26" @default.
- W2379628801 title "On Temporal Order Invariance for View-invariant Action Recognition" @default.
- W2379628801 hasPublicationYear "2015" @default.
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