A Wavelet Based Local Descriptor for Human Action Recognition

Shao, Ling and Gao, Ruoyun (2010) A Wavelet Based Local Descriptor for Human Action Recognition. In: BMVC 2010 - 21st British Machine Vicion Conference, 31st August - 3rd September 2010, Aberystwyth, UK.

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Abstract

In interest point based human action recognition, local descriptors are used to represent information in the neighbourhood around each extracted space-time interest point. The performance of the action recognition systems highly depends on the invariance and distinctiveness of the local spatiotemporal descriptor adopted. In this paper, we propose a new descriptor based on the Wavelet Transform taking advantage of its capability in compacting and discriminating data. We evaluate this descriptor on the extensively studied KTH action dataset, using the Bag-of Features framework. Results show the Wavelet Transform based descriptor achieves the recognition rate of 93.89%, which is better than most of the state-of-the-art methods.

Item Type:	Conference or Workshop Item (Paper)
Subjects:	G400 Computer Science
Department:	Faculties > Engineering and Environment > Computer and Information Sciences
Depositing User:	Paul Burns
Date Deposited:	17 Jun 2015 10:16
Last Modified:	13 Oct 2019 00:31
URI:	http://nrl.northumbria.ac.uk/id/eprint/22981

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