Human Action Recognition Based on Hybrid Features

Ju Zhong; Hua Wen Liu; Chun Li Lin

doi:10.4028/www.scientific.net/AMM.373-375.1188

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 373-375Human Action Recognition Based on Hybrid Features

Human Action Recognition Based on Hybrid Features

Abstract:

The extraction methods of both the shape feature based on Fourier descriptors and the motion feature in time domain were introduced. These features were fused to get a hybrid feature which had higher distinguish ability. This combined representation was used for human action recognition. The experimental results show the proposed hybrid feature has efficient recognition performance in the Weizmann action database .

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Periodical:

Applied Mechanics and Materials (Volumes 373-375)

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1188-1191

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.373-375.1188

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Online since:

August 2013

Authors:

Ju Zhong*, Hua Wen Liu, Chun Li Lin

Keywords:

Human Action Recognition, Hybrid Feature, Motion Feature, Shape Feature

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