Proceedings of the 2015 International Conference on Automation, Mechanical Control and Computational Engineering

Research on action recognition method under mobile phone visual sensor

Authors
Wenbin Wang, Ketang Chen, Liangliang Chen
Corresponding Author
Wenbin Wang
Available Online April 2015.
DOI
https://doi.org/10.2991/amcce-15.2015.211How to use a DOI?
Keywords
mobile phone; sensor; action recognition;
Abstract
During action recognition process under the mobile phone visual sensor, in order to ensure the speed of recognition, generally distributing as sloppy feature points, so as to express composite action feature needs to be recognized. However, if the action is composite feature in small area, traditional action recognition method based on sparse representation, when expressing action, is not able to express feature details within small area in high accuracy and achieve action recognition under mobile phone visual sensor accurately and effectively. To this end, an action recognition method under mobile phone visual sensor based on visual optimization analysis of behavior is proposed. With the maximum similarity clustering method to segment action images obtained by mobile phone vision sensor accurately, to exclude a large number of irrelevant features. By fitting the action clustering function to calculate principal curvature of action edge position, so as to acquire the position and scale of action. By adopting the action gray level co-occurrence matrix to apply adaptive classification for action, quickly complete the accurate identification of the action under mobile phone visual sensor. The simulation results show that, this algorithm has high stability and accuracy.
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This is an open access article distributed under the CC BY-NC license.

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Proceedings
2015 International Conference on Automation, Mechanical Control and Computational Engineering
Part of series
Advances in Intelligent Systems Research
Publication Date
April 2015
ISBN
978-94-62520-64-6
ISSN
1951-6851
DOI
https://doi.org/10.2991/amcce-15.2015.211How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Wenbin Wang
AU  - Ketang Chen
AU  - Liangliang Chen
PY  - 2015/04
DA  - 2015/04
TI  - Research on action recognition method under mobile phone visual sensor
BT  - 2015 International Conference on Automation, Mechanical Control and Computational Engineering
PB  - Atlantis Press
SN  - 1951-6851
UR  - https://doi.org/10.2991/amcce-15.2015.211
DO  - https://doi.org/10.2991/amcce-15.2015.211
ID  - Wang2015/04
ER  -