Proceedings of the International Conference on Advances in Mechanical Engineering and Industrial Informatics

The Application of Improved GG Clustering Algorithm in View-irrelevant Behavior Recognition

Authors
Yun Liu, Jin Shao, Yan Yue
Corresponding Author
Yun Liu
Available Online April 2015.
DOI
10.2991/ameii-15.2015.4How to use a DOI?
Keywords
GG clustering algorithm; Number of clusters; Cluster validity index; Behavior recognition.
Abstract

When cluster descriptors of behavior feature in the analyzing the behavior feature data of behavior under different view, the traditional FCM algorithm can not determine the number of clusters to the data with spherical structure, so this paper proposes an improved GG clustering algorithm to solve this problem. This algorithm determine the optimal cluster number by the indexes of inter-cluster compactness and the separation of clusters. Then model behavioral descriptors that have been clustered to reach the purpose of improving behavior recognition accuracy. The experimental results show that: the improved algorithm can classify and model behavioral descriptors better and improve the recognition accuracy.

Copyright
© 2015, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the International Conference on Advances in Mechanical Engineering and Industrial Informatics
Series
Advances in Engineering Research
Publication Date
April 2015
ISBN
10.2991/ameii-15.2015.4
ISSN
2352-5401
DOI
10.2991/ameii-15.2015.4How to use a DOI?
Copyright
© 2015, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Yun Liu
AU  - Jin Shao
AU  - Yan Yue
PY  - 2015/04
DA  - 2015/04
TI  - The Application of Improved GG Clustering Algorithm in View-irrelevant Behavior Recognition
BT  - Proceedings of the International Conference on Advances in Mechanical Engineering and Industrial Informatics
PB  - Atlantis Press
SP  - 22
EP  - 27
SN  - 2352-5401
UR  - https://doi.org/10.2991/ameii-15.2015.4
DO  - 10.2991/ameii-15.2015.4
ID  - Liu2015/04
ER  -