Human Action Recognition Based on Kinect and MCRF Model

Wen Ting Liu; An Yuan Chen

doi:10.4028/www.scientific.net/AMM.687-691.3559

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 687-691Human Action Recognition Based on Kinect and MCRF...

Human Action Recognition Based on Kinect and MCRF Model

Abstract:

In view of the low efficiency and angle problem of human action recognition, a algorithm with Kinect-3D skeleton and MCRF model was proposed. Its 3D skeleton data has less and key information, and MCRF model was able to fusion many features and advantage of context information. First, human action was divided into global action, arm action, and leg action, extracted features through several feature subsets. Then, CRF model was used for every subset to generate, each CRF sets was merged together into MRCF model which was utilized to recognize human action. The experimental results show that the method has higher detection rate.

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Periodical:

Applied Mechanics and Materials (Volumes 687-691)

Pages:

3559-3563

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.687-691.3559

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Online since:

November 2014

Authors:

Wen Ting Liu*, An Yuan Chen

Keywords:

3D Skeleton, Feature Extraction, Human Action Recognition, MCRF

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