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

Mattivi, Riccardo and Shao, Ling (2009) Human Action Recognition Using LBP-TOP as Sparse Spatio-Temporal Feature Descriptor. In: CAIP 2009 - 13th International Conference on Computer Analysis of Images and Patterns, 2nd - 4th September 2009, Münster, Germany.

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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.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: Human action recognition, LBP-TOP, bag of words
Subjects: G400 Computer Science
Department: Faculties > Engineering and Environment > Computer and Information Sciences
Depositing User: Paul Burns
Date Deposited: 17 Jun 2015 10:59
Last Modified: 13 Oct 2019 00:30

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