MATEC Web of Conferences
Volume 56, 20162016 8th International Conference on Computer and Automation Engineering (ICCAE 2016)
|Number of page(s)||5|
|Section||Image Processing and Application|
|Published online||26 April 2016|
Action Recognition Based on Sub-action Motion History Image and Static History Image
School of Information Engineering, Zhengzhou University, Zhengzhou, 450000, China
In this paper, we propose a robust and effective framework to largely improve the performance of human action recognition using depth maps. The key contribution is the proposition of the Sub-action Motion History Image (SMHI) and Static History Image (SHI) in a depth sequence. We evenly subdivide the normalized motion energy into a set of segments which corresponding frame indices are used to partition a video into different sub-actions segments. The Local Binary Patterns (LBP) descriptor is then computed from the SMHI and SHI for the representation of an action. We evaluate the proposed framework on MSR Action3D dataset. Experimental results indicate that the proposed approach outperforms the most of the art methods and demonstrate the effectiveness of the proposed approaches.
© Owned by the authors, published by EDP Sciences, 2016
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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