Human Action Recognition Using LBP-TOP as Sparse Spatio-Temporal Feature Descriptor

Riccardo Mattivi, Ling Shao

Research output: Contribution to conferencePaper

55 Citations (Scopus)

Abstract

In this paper we apply the Local Binary Pattern on Three Orthogonal Planes (LBP-TOP) descriptor to the field of human action recognition. A video sequence is described as a collection of spatial-temporal words after the detection of space-time interest points and the description of the area around them. Our contribution has been in the description part, showing LBP-TOP to be a promising descriptor for human action classification purposes. We have also developed several extensions to the descriptor to enhance its performance in human action recognition, showing the method to be computationally efficient.
Original languageEnglish
DOIs
Publication statusPublished - Sept 2009
EventCAIP 2009 - 13th International Conference on Computer Analysis of Images and Patterns - Münster, Germany
Duration: 1 Sept 2009 → …

Conference

ConferenceCAIP 2009 - 13th International Conference on Computer Analysis of Images and Patterns
Period1/09/09 → …

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