Research Article

Action Recognition Based on Hierarchical Spatio-Temporal Motion Features

In this study, human action representation based on hierarchical optical flow motion feature was proposed, which can extract more informative motion information than recent proposed approaches. Dynamic Time Warping (DTW) algorithm is widely used in action sequence recognition for eliminating the negative effect caused by performing an identical action in different styles and/or different rates. To improve the temporal consistence on action sequence, automatic spatial and temporal alignment approach based on an improved DTW was proposed. Moreover, to reduce time-consumption and increase computational efficiency during action sequence matching, a novel matching algorithm based on multi-resolution DTW constraint was developed. Experimental results on the Weizmann and KTH databases show that the proposed system can achieve higher recognition performance.

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Jiangfeng Yang, Zheng Ma and Guojun Lin, 2014. Action Recognition Based on Hierarchical Spatio-Temporal Motion Features. Journal of Applied Sciences, 14: 2578-2585.

DOI: 10.3923/jas.2014.2578.2585

URL: https://scialert.net/abstract/?doi=jas.2014.2578.2585

Journal of Applied Sciences

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Authors

Jiangfeng Yang

Zheng Ma

Guojun Lin

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Research Article

Action Recognition Based on Hierarchical Spatio-Temporal Motion Features

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